From 49ffa9667b0efa671cf0ec56dcda3ed1abefbe19 Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Sun, 11 Jan 2026 23:56:59 -0800 Subject: [PATCH 1/9] feat: use independent region manifest for MemWAL --- docs/src/format/table/.pages | 1 + docs/src/format/table/index/system/.pages | 2 +- docs/src/format/table/index/system/mem_wal.md | 12 + docs/src/format/table/index/system/memwal.md | 27 - docs/src/format/table/mem_wal.md | 1349 +++++++++ docs/src/format/table/mem_wal_regional.png | Bin 0 -> 551389 bytes docs/src/images/mem_wal_overview.png | Bin 0 -> 109386 bytes protos/table.proto | 216 +- protos/transaction.proto | 17 +- rust/lance-index/src/mem_wal.rs | 389 ++- rust/lance/src/dataset/fragment.rs | 4 +- rust/lance/src/dataset/transaction.rs | 117 +- rust/lance/src/dataset/write/commit.rs | 2 +- rust/lance/src/dataset/write/merge_insert.rs | 58 +- .../dataset/write/merge_insert/exec/delete.rs | 4 +- .../dataset/write/merge_insert/exec/write.rs | 4 +- rust/lance/src/dataset/write/update.rs | 2 +- rust/lance/src/index/mem_wal.rs | 2585 +---------------- rust/lance/src/io/commit/conflict_resolver.rs | 168 +- 19 files changed, 1968 insertions(+), 2989 deletions(-) create mode 100644 docs/src/format/table/index/system/mem_wal.md delete mode 100644 docs/src/format/table/index/system/memwal.md create mode 100644 docs/src/format/table/mem_wal.md create mode 100644 docs/src/format/table/mem_wal_regional.png create mode 100644 docs/src/images/mem_wal_overview.png diff --git a/docs/src/format/table/.pages b/docs/src/format/table/.pages index ec66d452eb6..69209d956cc 100644 --- a/docs/src/format/table/.pages +++ b/docs/src/format/table/.pages @@ -5,4 +5,5 @@ nav: - Layout: layout.md - Branch & Tag: branch_tag.md - Row ID & Lineage: row_id_lineage.md + - MemTable & WAL: mem_wal.md - index diff --git a/docs/src/format/table/index/system/.pages b/docs/src/format/table/index/system/.pages index cedf138336b..03435c92bf2 100644 --- a/docs/src/format/table/index/system/.pages +++ b/docs/src/format/table/index/system/.pages @@ -1,4 +1,4 @@ title: System Indices nav: - Fragment Reuse: frag_reuse.md - - MemWAL: memwal.md + - MemWAL: mem_wal.md diff --git a/docs/src/format/table/index/system/mem_wal.md b/docs/src/format/table/index/system/mem_wal.md new file mode 100644 index 00000000000..73693cd6704 --- /dev/null +++ b/docs/src/format/table/index/system/mem_wal.md @@ -0,0 +1,12 @@ +# MemWAL Index + +The MemWAL Index is a system index that serves as the centralized structure for all MemWAL metadata. +It stores configuration (region specs, indexes to maintain), merge progress, and region state snapshots. + +A table has at most one MemWAL index. + +For the complete specification, see: + +- [MemWAL Index Overview](../../mem_wal.md#memwal-index) - Purpose and high-level description +- [MemWAL Index Details](../../mem_wal.md#memwal-index-details) - Storage format, schemas, and staleness handling +- [MemWAL Index Builder](../../mem_wal.md#memwal-index-builder) - Background process and configuration updates diff --git a/docs/src/format/table/index/system/memwal.md b/docs/src/format/table/index/system/memwal.md deleted file mode 100644 index 41e2948409c..00000000000 --- a/docs/src/format/table/index/system/memwal.md +++ /dev/null @@ -1,27 +0,0 @@ -# MemWAL Index - -The MemTable and Write-Ahead Log (MemWAL) Index is used for fast upserts into the Lance table. - -The index is used as the centralized synchronization system for a log-structured merge tree (LSM-tree), -leaving the actual implementation of the MemTable and WAL up to the specific implementer of the spec. - -Each region represents a single writer that writes to both a MemTable and a WAL, -and a region can have increasing generations of MemWALs. -Every time data is written into a WAL, the index is updated with the latest watermark. -If a specific writer of a region dies, a new writer is able to read the information in the specific region and replay the WAL. - -## Index Details - -```protobuf -%%% proto.message.MemWalIndexDetails %%% -``` - -## Expected Use Pattern - -It is expected that: - -1. there is exactly one writer for each region, guaranteed by optimistic update of the owner_id -2. each writer updates the MemWAL index after a successful write to WAL and MemTable -3. a new writer always finds unsealed MemWALs and performs replay before accepting new writes -4. background processes are responsible for merging flushed MemWALs to the main Lance table, and making index up to date. -5. a MemWAL-aware reader is able to merge results of MemTables in the MemWALs with results in the base Lance table. \ No newline at end of file diff --git a/docs/src/format/table/mem_wal.md b/docs/src/format/table/mem_wal.md new file mode 100644 index 00000000000..060f174e53c --- /dev/null +++ b/docs/src/format/table/mem_wal.md @@ -0,0 +1,1349 @@ +# MemTable & WAL Specification + +Lance MemTable & WAL (MemWAL) specification describes an Log-Structured-Merge (LSM) tree architecture for Lance tables, enabling high-performance streaming write workloads. + +## Prerequisites + +### Unenforced Primary Key + +MemWAL only works for Lance tables with unenforced primary key defined, +also the unenforced primary key: + +- Must have a [btree index](./index/scalar/btree.md) +- Must be included in the region spec's `source_ids` if a region spec is specified (see [Region Spec](#region-sepc) for more details) + +The last constraint is critical for correctness. +If two regions contain rows with the same primary key, the following scenario can cause data corruption: + +1. Region A receives a write with primary key `pk=1` at time T1 +2. Region B receives a write with primary key `pk=1` at time T2 (T2 > T1) +3. The row in region B is merged into the base table first +4. The row in region A is merged into the base table second +5. The row from Region A (older) now overwrites the row from Region B (newer) + +This violates the expected "last write wins" semantics. +By ensuring each primary key is assigned to exactly one region via the region spec, merge order between regions becomes irrelevant for correctness. + +### IVF Vector Index + +Although later migration is possible, if the main use case is IVF family vector index, +it is recommended to have these indexes on the Lance table before enabling MemWAL. +This is because IVF index needs to remain the same quantization codebook (e.g. PQ codebook) +across all the layers of the LSM tree for vector distance to be comparable. +Migrating one codebook to another is a complicated proceses requiring gradual migration +and coordination between readers and writers. + +## Overall Architecture + +![MemWAL Overview](../../images/mem_wal_overview.png) + +### Base Table + +Under the MemWAL setup, the Lance table is called the **base table**. + +### MemWAL Region + +**MemWAL Region** is the main unit to horizontally scale out writes. +Each region has exactly one active writer at any time, using **epoch-based fencing** to guarantee single-writer semantics without distributed coordination. +Writers claim a region by incrementing the writer epoch, then write data to that region. +Data in each region is merged into the base table gradually in the background. + +#### Region Identifier + +Each region has a unique identifier across all regions following UUID v4 standard. +When a new region is created, it is assigned a new identifier. + +#### Region Spec + +A **Region Spec** defines how the all rows in a table is logically divided into different regions, +enabling automatic region assignment and query-time region pruning. + +Each region spec has: + +- **Spec ID**: A positive integer that uniquely identifies this spec within the MemWAL index. IDs are never reused. +- **Region fields**: An array of field definitions that determine how to compute region identifiers. + +Each region is bound to a specific region spec ID, recorded in its [manifest](#region-manifest). +Regions without a spec ID (`spec_id = 0`) are manually-created regions not governed by any spec. + +A region spec's field array consists of **region field** definitions. +Each region field has the following properties: + +| Property | Description | +|----------|-------------| +| `field_id` | Unique string identifier for this region field | +| `source_ids` | Array of field IDs referencing source columns in the schema | +| `transform` | A well-known region expression, specify this or `expression` | +| `expression` | A DataFusion SQL expression for custom logic, specify this or `transform` | +| `result_type` | The output type of the region value | + +#### Unenforced Primary key Constraint + +The `source_ids` across all region fields must include all primary key columns. +This ensures rows with the same primary key always map to the same region, which is required for correctness (see [Unenforced Primary Key](#unenforced-primary-key)). + +#### Region Expression + +A **Region Expression** is a [DataFusion SQL expression](https://datafusion.apache.org/user-guide/sql/index.html) that derives a region value from source column(s). +Source columns are referenced as `col0`, `col1`, etc., corresponding to the order of field IDs in `source_ids`. + +Region expressions must satisfy the following requirements: + +1. **Deterministic**: The same input value must always produce the same output value. +2. **Stateless**: The expression must not depend on external state (e.g., current time, random values, session variables). +3. **Type-promotion resistant**: The expression must produce the same result for equivalent values regardless of their numeric type (e.g., `int32(5)` and `int64(5)` must yield the same region value). +4. **Column removal resistant**: If a source field ID is not found in the schema, the column should be interpreted as NULL. +5. **NULL-safe**: The expression should properly handle NULL inputs and have defined behavior (e.g., return NULL if input is NULL for single-column expressions). +6. **Consistent with result type**: The expression's return type must be consistent with `result_type` in non-NULL cases. + +#### Region Transform + +A **Region Transform** is a well-known region expression with a predefined name. +When a transform is specified, the expression is derived automatically. + +| Transform | Parameters | Region Expression | Result Type | +|-----------|------------|-------------------|-------------| +| `identity` | (none) | `col0` | same as source | +| `year` | (none) | `date_part('year', col0)` | `int32` | +| `month` | (none) | `date_part('month', col0)` | `int32` | +| `day` | (none) | `date_part('day', col0)` | `int32` | +| `hour` | (none) | `date_part('hour', col0)` | `int32` | +| `bucket` | `num_buckets` | `abs(murmur3(col0)) % N` | `int32` | +| `multi_bucket` | `num_buckets` | `abs(murmur3_multi(col0, col1, ...)) % N` | `int32` | +| `truncate` | `width` | `left(col0, W)` (string) or `col0 - (col0 % W)` (numeric) | same as source | + +The `bucket` and `multi_bucket` transforms use Murmur3 hash functions: + +- **`murmur3(col)`**: Computes the 32-bit Murmur3 hash (x86 variant, seed 0) of a single column. Returns a signed 32-bit integer. Returns NULL if input is NULL. +- **`murmur3_multi(col0, col1, ...)`**: Computes the Murmur3 hash across multiple columns. Returns a signed 32-bit integer. NULL fields are ignored during hashing; returns NULL only if all inputs are NULL. + +The hash result is wrapped with `abs()` and modulo `N` to produce a non-negative bucket number in the range `[0, N)`. + +### MemWAL Index + +A **MemWAL Index** is the centralized structure for all MemWAL metadata for a base table. +A table has at most one MemWAL index. +It stores: + +- **Configuration**: Region specs defining how rows map to regions, and which indexes to maintain +- **Merge progress**: Last generation merged to base table for each region +- **Region snapshots**: Point-in-time snapshot of all region states for read optimization + +The index is the source of truth for **configuration** and **merge progress**, but region state snapshots are read-only (each region's manifest is authoritative for its own state). + +Writers read the MemWAL index to get configuration (region specs, maintained indexes) before writing. +Readers use the index to get a snapshot of all region states, then query each region's data alongside the base table and merge results at runtime. + +A background process periodically updates region snapshots by listing regions and loading their manifests. +See [MemWAL Index Details](#memwal-index-details) for the complete structure. + +## Region Architecture + +![Region Architecture](mem_wal_regional.png) + +Within a region, writes enter its MemTable and are flushed to the regional WAL for durability. +The MemTable is flushed to storage as a Flushed MemTable based on memory pressure and other conditions. +Flushed MemTables are then asynchronously merged into the base table. + +Here are the details of the related components and concepts: + +### MemTable + +An in-memory Lance table that buffers incoming writes. +Each write inserts a fragment in the MemTable, making data immediately queryable without waiting for persistence. + +### WAL + +Write-Ahead Log (WAL) seves as the durable sotrage of MemTable. +A write to MemTable must be persisted also to the WAL to become fully durable. +Every time we write to the WAL, we call it a **WAL Flush**. + +The whole LSM tree's durability is determined by the durability of the WAL. +For example, if WAL is stored in Amazon S3, it has the 99.999999999% durability. +If it is stored in local disk, the data will be lost if the local disk is damanaged. + +#### WAL Entry + +A WAL consists of an ordered sequence of WAL entries starting from 1. Each entry is a Lance format file. +The writer epoch is stored in the Lance file's schema metadata with key `writer_epoch` for fencing validation during replay. + +#### File Location + +Each WAL entry is stored within the WAL directory of the region located at `_memwal/{region_id}/wal`. + +#### File Naming + +WAL files use bit-reversed 64-bit binary naming to distribute files evenly across the directory keyspace. +This optimizes S3 throughput by spreading sequential writes across S3's internal partitions, minimizing throttling. + +The filename is the bit-reversed binary representation of the entry ID with suffix `.lance`. +For example, entry ID 5 (binary `000...101`) becomes `1010000000000000000000000000000000000000000000000000000000000000.lance`. + +This bit-reversal permutation ensures that sequential entry IDs are spread across the entire keyspace, similar to how [data files use UUID-based naming](layout.md#data-files) for S3 throughput optimization. + +### Flushed MemTable + +A flushed MemTable is a complete Lance table created by flushing the MemTable to storage. + +!!!note + This is called Sorted String Table (SSTable) or Sorted Run in many LSM-tree literatures and implementations. + However, since our MemTable is not sorted, we just use the term flushed memtable avoid confusion. + +#### Generation + +Each flushed MemTable has a **generation** number starting from 1 that identifies its relative position among all flushed MemTables in the region. +When MemTable with generation `i` is flushed, the next MemTable gets generation number `i+1`. + +#### Flush Location + +The MemTable of generation `i` is flushed to `_memwal/{region_uuid}/{random_hash}_gen_{i}/` directory, where `{random_hash}` is an 8-character hex value generated at flush time. +The directory content follows [Lance table layout](layout.md). + +The actual directory path for each generation is recorded in the region manifest's `flushed_generations` list (see [Region Manifest](#region-manifest)). + +#### Merging Flushed MemTable + +Generation numbers determine merge order: lower numbers represent older data and must be merged to the base table first to preserve correct upsert semantics. + +### Region Manifest + +Each region has a manifest file containing epoch-based fencing tokens, WAL pointers, and flushed MemTable generation trackers. This is the source of truth for region state. + +The manifest is serialized as a protobuf binary file using the `RegionManifest` message. + +#### Contents + +The manifest contains: + +- **Fencing state**: `writer_epoch` (writer fencing token) +- **WAL pointers**: `replay_after_wal_id` (last entry flushed to MemTable), `wal_id_last_seen` (last entry seen at manifest update) +- **Generation trackers**: `current_generation` (next generation to flush), `merged_generation` (last generation merged to base) +- **Flushed generations**: `flushed_generations` list of generation number and directory path pairs (e.g., generation 1 at `a1b2c3d4_gen_1`) + +Note: `wal_id_last_seen` is a hint that may be stale since it's not updated on WAL write. +The manifest itself is atomically written, but recovery must try get newer WAL files to find the actual state beyond this hint. + +
+RegionManifest protobuf message + +```protobuf +%%% mem_wal.message.RegionManifest %%% +``` + +
+ +#### Versioning and Atomicity + +Manifests are versioned starting from 1 and immutable. Each update creates a new manifest file at the next version number. +Updates use put-if-not-exists or file rename to ensure atomicity depending on the storage system. +If two processes compete, one wins and the other retries. + +To commit a manifest version: + +1. Compute the next version number +2. Write the manifest to `{bit_reversed_version}.binpb` using put-if-not-exists +3. In parallel best-effort write to `version_hint.json` with `{"version": }` (failure is acceptable) + +To read the latest manifest version: + +1. Read `version_hint.json` to get the latest version hint. If not found, start from version 1 +2. Check existence for subsequent versions from the starting version +3. Continue until a version is not found +4. The latest version is the last found version + +This approach uses HEAD requests instead of LIST operations in cloud storage, +which is in general faster on cloud storage systems and +is friendly to systems like S3 Express that do not support lexicographically sorted listing. + +#### File Location + +All region manifest versions are stored in `_memwal/{region_id}/manifest` directory. + +#### File Naming + +Each region manifest version file uses bit-reversed 64-bit binary naming, the same scheme as [WAL files](#wal-file-naming). +For example, version 5 becomes `1010000000000000000000000000000000000000000000000000000000000000.binpb`. + +#### Region Manifest Transactions + +The region manifest is updated atomically in the following cases: + +| Trigger | Fields Updated | Details | +|---------|----------------|---------| +| [Initialization & Recovery](#initialization--recovery) | `writer_epoch` | Incremented when writer claims the region | +| [MemTable Flush](#memtable-flush) | `replay_after_wal_id`, `wal_id_last_seen`, `current_generation`, `flushed_generations` | After flushing MemTable to storage | +| [Merge to Base Table](#merge-workflow) | `merged_generation`, `flushed_generations` | After merging a flushed MemTable; removes merged entry | +| [MemWAL Index Builder](#memwal-index-builder) | `wal_id_last_seen` | Periodically scans WAL entries and updates hint | + +!!!note + WAL flush does **not** update the manifest to keep the hot write path fast. + +#### Fencing + +Writers use epoch-based fencing (`writer_epoch`) to ensure single-writer semantics. +See [Writer Fencing](#writer-fencing) for details. + +### Storage Layout + +Here is a recap of the storage layout with all the files and concepts defined so far: + +``` +{table_path}/ +├── _indices/ +│ └── {index_uuid}/ # MemWAL Index (uses standard index storage) +│ └── regions.binpb # Serialized region snapshots (protobuf binary) +│ +└── _memwal/ + └── {region_uuid}/ # Region directory (UUID v4) + ├── manifest/ + │ ├── {bit_reversed_version}.binpb # Serialized region manifest (bit-reversed naming) + │ └── version_hint.json # Version hint file + ├── wal/ + │ ├── {bit_reversed_entry_id}.lance # WAL data files (bit-reversed naming) + │ └── ... + └── {random_hash}_gen_{i}/ # Flushed MemTable (generation i, random prefix) + ├── _versions/ + │ └── {version}.manifest # Table manifest (V2 naming scheme) + └── _indices/ # indexes + ├── {vector_index}/ + └── {scalar_index}/ +``` + +### MemWAL Index Details + +The MemWAL Index uses the [standard index storage](index/index.md#index-storage) at `_indices/{UUID}/`. + +The index stores its data in two parts: + +1. **Index details** (`index_details` in `IndexMetadata`): Contains configuration, merge progress, and snapshot metadata +2. **Region snapshots**: Stored as a Lance file or inline, depending on region count + +#### Index Details Schema + +The `index_details` field in `IndexMetadata` contains a `MemWalIndexDetails` protobuf message with: + +| Field | Type | Description | +|-------|------|-------------| +| `snapshot_timestamp` | int64 | When the index was built (Unix timestamp in seconds) | +| `num_regions` | uint32 | Number of regions in the snapshot | +| `inline_snapshots` | bytes | Inline snapshot data for small region counts (optional) | +| `region_specs` | repeated RegionSpec | Region specs defining how rows map to regions | +| `maintained_indexes` | repeated string | Index names to maintain in MemTables | +| `merged_generations` | repeated MergedGeneration | Last generation merged to base table per region | + +**Configuration fields** (`region_specs`, `maintained_indexes`) are the source of truth for MemWAL configuration. +Writers read these fields to determine how to partition data and which indexes to maintain. + +- **Region specs** define how rows are partitioned into regions. Multiple specs can coexist during migration. Each spec has a unique `spec_id` that is never reused. See [Region Spec](#region-spec) for field definitions. +- **Maintained indexes** lists indexes (by name) to maintain in MemTables. The primary key btree index is always maintained implicitly and should not be listed here. For vector indexes, MemTables inherit quantization parameters (PQ codebook, SQ params) from the base table index to ensure distance comparability. See [Vector Indexes](#vector-indexes). + +**Merge progress** (`merged_generations`) tracks the last generation merged to the base table for each region. +This field is updated atomically with merge-insert data commits, enabling conflict resolution when multiple mergers operate concurrently. +Each entry contains the region UUID and generation number. + +**Region snapshot fields** (`snapshot_timestamp`, `num_regions`, `inline_snapshots`) provide a point-in-time snapshot of region states. +The actual region manifests remain authoritative for region state. + +
+MemWalIndexDetails protobuf message + +```protobuf +%%% mem_wal.message.MemWalIndexDetails %%% +``` + +
+ +#### Region Snapshot Storage + +Region snapshots are stored using one of two strategies based on the number of regions: + +| Region Count | Storage Strategy | Location | +|--------------|------------------|----------| +| <= 100 (threshold) | Inline | `inline_snapshots` field in index details | +| > 100 | External Lance file | `_indices/{UUID}/index.lance` | + +The threshold (100 regions) is implementation-defined and may vary. + +**Inline storage**: For small region counts, snapshots are serialized as a Lance file and stored in the `inline_snapshots` field. +This keeps the index metadata compact while avoiding an additional file read for common cases. + +**External Lance file**: For large region counts, snapshots are stored as a Lance file at `_indices/{UUID}/index.lance`. +This file uses standard Lance format with the region snapshot schema, enabling efficient columnar access and compression. + +#### Region Snapshot Schema + +Region snapshots are stored as a Lance file with one row per region. +The schema has one column per `RegionManifest` field, with region fields as columns: + +| Column | Type | Description | +|--------|------|-------------| +| `region_id` | `fixed_size_binary(16)` | Region UUID bytes | +| `version` | `uint64` | Region manifest version | +| `region_spec_id` | `uint32` | Region spec ID (0 if manual) | +| `writer_epoch` | `uint64` | Writer fencing token | +| `replay_after_wal_id` | `uint64` | Last WAL entry flushed to MemTable | +| `wal_id_last_seen` | `uint64` | Last WAL entry seen (hint) | +| `current_generation` | `uint64` | Next generation to flush | +| `merged_generation` | `uint64` | Last generation merged to base | +| `flushed_generations` | `list>` | Flushed MemTable paths | + +This schema directly corresponds to the fields in the `RegionManifest` protobuf message. + +#### Staleness Handling + +Since the index is eventually consistent, readers should handle stale data: + +- A flushed MemTable listed in `flushed_generations` may have been merged and garbage collected +- New flushed MemTables may exist that are not yet in `flushed_generations` +- WAL entries may have advanced beyond what the index shows + +The `snapshot_timestamp` field indicates when the index was built; readers can use this to estimate staleness and decide whether to refresh. + +For authoritative state, readers may load individual region manifests directly from `_memwal/{region_uuid}/manifest/`. + +## Writer Expectations + +### Writer Configuration + +Writers can be configured with the following options that affect write behavior: + +| Option | Description | +|--------|-------------| +| **Durable write** | Each write is persisted to WAL before reporting success. Ensures no data loss on crash, but adds latency for object storage writes. | +| **Indexed write** | Each write refreshes MemTable indexes before reporting success. Ensures new data is immediately searchable via indexes, but adds indexing latency. | + +Both options can be enabled independently. When disabled: + +- **Non-durable writes** buffer data in memory until a flush threshold is reached, accepting potential data loss on crash +- **Non-indexed writes** defer index updates, meaning newly written data may not appear in index-accelerated queries until the next index refresh + +### Initialization & Recovery + +A writer must claim a region before performing any write operations: + +1. Load the latest region manifest +2. Increment `writer_epoch` by one +3. Atomically write a new manifest +4. If the write fails (another writer claimed the epoch), reload the manifest and retry with a higher epoch +5. Read WAL entries sequentially from `replay_after_wal_id + 1` until not found +6. Replay valid WAL entries (those with `writer_epoch` ≤ current epoch) to reconstruct the MemTable with 1:1 fragment mapping (each WAL entry becomes one MemTable fragment) + +After recovery, the writer tracks subsequent fragment mappings as new WAL flushes occur (see [WAL Flush](#wal-flush)). + +### Writer Fencing + +Before any manifest update (MemTable flush), a writer must verify its `writer_epoch` remains valid: + +- If `local_writer_epoch == stored_writer_epoch`: The writer is still active and may proceed +- If `local_writer_epoch < stored_writer_epoch`: The writer has been fenced and must abort + +Fenced writers must stop all operations immediately and notify pending writes of the failure. + +For a concrete example of fencing between two writers, see [Appendix 1: Writer Fencing Example](#appendix-1-writer-fencing-example). + +### Write Operations + +Each write operation follows this sequence: + +1. Validate incoming records +2. Insert records into the MemTable, creating an in-memory fragment (immediately queryable via full scan) +3. Track the Lance data file in the new fragment for pending WAL flush +4. Optionally trigger WAL flush based on size, count, or time thresholds +5. For [durable writes](#writer-configuration), wait for WAL flush to complete before returning +6. For [indexed writes](#writer-configuration), update MemTable indexes before returning: + - Insert primary keys into the btree index + - For each vector column with a base table index: encode and insert into HNSW graph + - For each index in `maintained_indexes`: update the corresponding index structure + +### WAL Flush + +WAL flush batches pending MemTable fragments into a single Lance data file: + +1. Identify pending (unflushed) fragments in the MemTable +2. Start writing the WAL entry to object storage +3. Stream binary pages from each pending fragment's Lance data file directly to the WAL entry +4. Write the footer containing batched data file metadata and `writer_epoch` in schema metadata +5. Complete the WAL entry write atomically +6. Mark fragments as flushed in the MemTable +7. Record fragment mappings (MemTable fragment IDs in this batch → WAL entry ID relative to last replay) for index remapping during [MemTable Flush](#memtable-flush) + +!!!note + The region manifest is **not** updated on every WAL flush. The `wal_id_last_seen` field is a hint that can be updated: + + 1. **During MemTable flush** - when the region manifest is updated anyway + 2. **By a background index builder** - which scans WAL entries and updates each region's `wal_id_last_seen` + + This keeps the hot write path fast. On recovery, the writer reads WAL entries sequentially starting from `wal_id_last_seen + 1` to discover any WAL entries beyond what the manifest indicates. + +The [durable write](#writer-configuration) option also impacts flush behavior: + +| Mode | Behavior | Result | +|------|----------|--------| +| Durable write | Flush immediately, wait for completion | One or more Lance files per write | +| Non-durable write | Buffer until threshold, return immediately | Batched Lance files (fewer S3 operations) | + +### MemTable Indexing + +MemTable indexing differs from base table indexing to balance write performance with query capability. +Rather than maintaining all base table indexes, MemTables maintain a subset specified in the [MemWAL Index](#memwal-index). + +#### Primary Key Index + +The **primary key btree index** is always maintained for every MemTable, regardless of other index configuration. +This index is essential for: + +- **Staleness detection**: During vector/FTS search, checking if a candidate from an older generation has a newer version +- **Point lookups**: Fast O(log n) access by primary key +- **Deduplication**: Efficiently finding duplicate primary keys during merge + +The primary key index is implemented as an in-memory `BTreeMap` where `OrderableScalarValue` wraps Arrow's `ScalarValue` with `Ord` implementation (see `lance-index::scalar::btree::OrderableScalarValue`). +For multi-column primary keys, the map key is a tuple of `OrderableScalarValue` for each column. + +#### Vector Indexes + +MemTables **automatically inherit** vector indexing from base table indexes. +This inheritance is critical for **distance comparability** across generations. + +**Why inheritance is required:** + +When ranking search results across generations, distances must be comparable: + +| Component | Must Match Base Table? | Reason | +|-----------|------------------------|--------| +| Quantization (PQ codebook, SQ params) | **Yes** | Determines distance calculation | +| IVF centroids | No | Only affects partition assignment | +| Search structure (HNSW vs flat) | No | Only affects search efficiency | + +If MemTable used independent quantization, distances from MemTable and base table would not be comparable, leading to incorrect ranking. + +**Inheritance behavior:** + +For each vector index on the base table, MemTable automatically: + +1. **Inherits quantization parameters**: PQ codebook, SQ min/max, or no quantization (flat) +2. **Encodes vectors** using inherited quantization during writes +3. **Stores both** raw vectors (for potential refinement) and quantized codes +4. **Uses HNSW** as the search structure (optimal for small MemTable scale) + +| Base Table Index | MemTable Inherits | MemTable Search | +|------------------|-------------------|-----------------| +| IVF-PQ | PQ codebook | HNSW on PQ codes | +| IVF-SQ | SQ parameters | HNSW on SQ codes | +| IVF-FLAT | Nothing (no quantization) | HNSW on raw vectors | +| IVF-HNSW-PQ | PQ codebook | HNSW on PQ codes | + +**Write path with inheritance:** + +``` +Write batch with vectors: + 1. Load PQ/SQ codebook from base table index (cached) + 2. Encode vectors using inherited quantization + 3. Store raw vectors + quantized codes in MemTable + 4. Insert into HNSW graph for search + 5. On MemTable flush, serialize both raw vectors and codes +``` + +**Query path with comparable distances:** + +``` +Search across generations: + 1. Search MemTable HNSW → candidates with quantized distances + 2. Search base table IVF-PQ → candidates with quantized distances + 3. Distances are COMPARABLE (same quantization) + 4. Sort by distance directly + 5. Apply staleness filtering +``` + +!!!warning "PQ Codebook Migration" + When the base table's PQ codebook is retrained, MemTable must switch to the new codebook. + During migration, maintain compatibility by: + 1. Flushing current MemTable before codebook change + 2. New MemTable uses new codebook + 3. Query both old flushed MemTables (old codebook) and new MemTable (new codebook) separately + 4. Merge flushed MemTables to base table before they become incompatible + +#### Scalar Indexes + +The `maintained_indexes` field in `MemWalIndexDetails` lists additional base table indexes to maintain in MemTables. +These include both scalar indexes (typically full-text search indexes needed for real-time text search) and vector indexes. + +Most scalar indexes other than FTS are not needed in MemTables since the primary key btree handles point lookups and staleness detection. + +#### Full-Text Search Indexes + +FTS indexes in MemTables **inherit tokenizer configuration** from base table indexes to ensure consistent tokenization across generations. + +**Inheritance behavior:** + +| Inherited | Not Inherited | +|-----------|---------------| +| Tokenizer type (simple, ngram, jieba, etc.) | Corpus statistics (IDF, avgdl) | +| Language settings | Document frequencies | +| Token filters (lowercase, stemming, etc.) | Posting lists | +| Position storage setting | | + +**Why corpus statistics are NOT inherited:** + +BM25 scoring depends on corpus-level statistics: +- `N`: Total document count +- `avgdl`: Average document length +- `df(t)`: Documents containing term t + +These statistics are specific to each corpus (generation). If MemTable used base table's statistics, scores would be incorrect because: +- IDF would be wrong (term rarity differs between 10K MemTable vs 10M base table) +- avgdl would be wrong (document length distribution may differ) + +**Global BM25 scoring (Lucene-style):** + +At query time, statistics are **aggregated across all generations** for globally-comparable BM25 scores: + +``` +Query: "machine learning" + +Step 1: Aggregate corpus statistics + N_global = Σ gen.doc_count + avgdl_global = Σ gen.sum_total_term_freq / N_global + +Step 2: Aggregate term statistics (for query terms only) + df_global("machine") = Σ gen.fts_index.df("machine") + df_global("learning") = Σ gen.fts_index.df("learning") + +Step 3: Compute global IDF + IDF("machine") = log(1 + (N_global - df_global) / (df_global + 0.5)) + +Step 4: Search each generation with global stats + Each FTS index returns candidates scored with global IDF and avgdl + Scores are now COMPARABLE across generations + +Step 5: Merge and rank globally +``` + +This follows the same pattern as [Apache Lucene's multi-segment BM25 scoring](https://github.com/apache/lucene), where: +- Each segment (generation) stores its own corpus statistics +- At query time, statistics are summed across segments +- A single scorer with global parameters is used for all segments + +**Required FTS index statistics:** + +Each MemTable FTS index must expose: + +| Statistic | Description | Used For | +|-----------|-------------|----------| +| `doc_count` | Documents in this index | Global N | +| `sum_total_term_freq` | Sum of all document lengths | Global avgdl | +| `df(term)` | Documents containing term | Global IDF | + +These are summed at query time to compute global BM25 parameters. + +#### In-Memory Index Structure + +Each MemTable maintains indexes as in-memory data structures: + +| Index Type | In-Memory Structure | Description | +|------------|---------------------|-------------| +| Primary key btree | `BTreeMap` | Maps primary key value(s) to row ID | +| Vector (HNSW + quantization) | `HnswBuilder` + `Quantizer` | HNSW graph + inherited PQ/SQ codebook | +| Additional btree | `BTreeMap` | Maps indexed column value(s) to row ID | + +**Memory overhead** for ~20K vectors (64MB MemTable): + +| Component | Size | Notes | +|-----------|------|-------| +| HNSW graph structure | ~5-10MB | Neighbors + distances | +| Thread-safe overhead | ~1MB | `RwLock` per node | +| PQ codebook (cached) | ~1MB | Shared across MemTables | +| PQ codes storage | ~1-2MB | 64 bytes/vector typical | +| **Total** | ~10-15% of MemTable size | + +#### Index Update Timing + +Index update timing depends on the [indexed write](#writer-configuration) setting: + +| Mode | Index Update Timing | Query Behavior | +|------|---------------------|----------------| +| Indexed write | Synchronous: indexes updated before write returns | New data immediately searchable via indexes | +| Non-indexed write | Deferred: indexes updated in background or at next flush | New data may require full scan until index refresh | + +When indexes are updated (either synchronously or deferred): + +1. **Primary key btree**: Insert `(pk_value, row_id)` into `BTreeMap` +2. **Vector indexes**: For each vector column with a base table index: + - Encode vector using inherited quantization (PQ/SQ codebook) + - Insert into HNSW graph with `O(log n)` complexity +3. **Other indexes**: Update according to index-specific logic + +Entries reference MemTable fragment IDs and row offsets. + +#### Flushed MemTable Index Caching + +When a MemTable is flushed to storage: + +1. In-memory indexes are serialized to disk in the flushed MemTable's `_indices/` directory: + - **Primary key btree**: Written as Lance btree index format + - **Vector indexes**: HNSW graph + quantized codes written in Lance format + - **Raw vectors**: Stored in data files for potential exact distance refinement + - **Other indexes**: Written in their respective formats +2. The in-memory index structures are retained as a **cache** for readers in the same process +3. Remote readers load indexes from disk; local readers use the cached in-memory structures + +This caching strategy provides: + +- **Zero-latency index access** for readers in the writer's process +- **No index rebuild overhead** for local readers after flush +- **Standard disk-based access** for remote readers + +Fragment mappings enable index remapping during [MemTable Flush](#memtable-flush). These mappings are recorded: + +- During [Initialization & Recovery](#initialization--recovery): 1:1 mapping from replayed WAL entries +- During [WAL Flush](#wal-flush): mapping from batched MemTable fragments to WAL entry + +### MemTable Flush + +Flushing the MemTable creates a new flushed MemTable (generation) with data and indexes: + +1. Generate a random 8-character hex prefix (e.g., `a1b2c3d4`) +2. Create directory `_memwal/{region_uuid}/{random_hash}_gen_{current_generation}/` +3. Identify WAL entries to include (from `replay_after_wal_id + 1` to the last flushed entry) +4. Create table manifest with `base_paths` pointing to the WAL directory +5. Add fragment entries referencing WAL files via `base_id` +6. Remap indexes using in-memory fragment mappings: + - Read index entries referencing MemTable fragment IDs + - Translate to flushed MemTable fragment IDs using mappings (MemTable fragment ID → WAL entry ID relative to last replay) + - Write remapped indexes to `_memwal/{region_uuid}/{random_hash}_gen_{current_generation}/_indices/` +7. Write the manifest to `_memwal/{region_uuid}/{random_hash}_gen_{current_generation}/_versions/{version}.manifest` (using [V2 naming scheme](transaction.md#manifest-naming-schemes)) +8. Update the region manifest: + - Advance `replay_after_wal_id` to the last flushed WAL entry + - Update `wal_id_last_seen` + - Increment `current_generation` + - Append `(current_generation, {random_hash}_gen_{current_generation})` to `flushed_generations` + +The random prefix ensures that flush retries write to a new directory, avoiding conflicts with partially written files from failed attempts. Only the directory recorded in `flushed_generations` is considered valid. + +If the writer crashes before completing MemTable flush, the new writer replays WAL entries into memory with 1:1 fragment mapping, rebuilds the in-memory indexes, and can then perform a fresh MemTable flush with a new random prefix. + +## Background Job Expectations + +Background jobs run independently from writers and handle asynchronous maintenance tasks. + +### Merge to Base Table + +Flushed MemTables are merged to the base table in generation order using Lance's merge-insert operation. + +#### Merge Workflow + +1. Load the MemWAL Index and read `merged_generations[region_id]` +2. Load the region manifest and identify unmerged flushed MemTables from `flushed_generations`: those with generation numbers in range `(merged_generation, current_generation)` +3. For each flushed MemTable in ascending generation order: + - Look up the directory path from `flushed_generations` + - Open it as a Lance table + - Execute merge-insert into the base table, atomically updating the MemWAL Index: + - Set `merged_generations[region_id]` to this generation + - On commit conflict, apply [conflict resolution rules](#merge-commit-conflict-resolution) + - On successful commit, update the region manifest: set `merged_generation` to this generation and remove the entry from `flushed_generations` + - If the region manifest update fails, continue to the next generation (MemWAL Index is authoritative) +4. After merge, the flushed MemTable and its referenced WAL files may be garbage collected (see [Garbage Collection](#garbage-collection)) + +Ordered merge ensures correct upsert semantics: flushed MemTables with higher generation numbers overwrite those with lower numbers. + +#### Merge Commit Conflict Resolution + +When a merge-insert commit to the base table encounters a version conflict, the merger reads the conflicting commit's MemWAL Index: + +- **Incompatible conflict**: If the conflicting commit's `merged_generations[region_id] >= my_generation`, abort without retry. The data is either already merged (same generation) or superseded (higher generation). +- **Compatible conflict**: Otherwise, retry the commit as normal. + +After aborting due to an incompatible conflict, reload the MemWAL Index and region manifest, then continue to the next unmerged generation. + +This conflict resolution prevents redundant work and ensures mergers don't regress the merge progress. + +#### Concurrent Mergers and Idempotency + +Multiple mergers may operate on the same region concurrently. This is safe due to: + +1. **Atomic MemWAL Index update**: The `merged_generations` in MemWAL Index is updated atomically with the data commit +2. **Conflict resolution**: Incompatible commits (same region, higher/equal generation) cause abort, not retry +3. **Merge-insert idempotency**: If two mergers merge the same generation before either commits, both write identical data (primary key upsert semantics) + +If a merger crashes after committing to the base table but before updating the region manifest: + +- The MemWAL Index has `merged_generations[region_id] = N` +- The region manifest still has `merged_generation = N-1` +- Next merger reads MemWAL Index, sees generation N already merged, skips it +- Region manifest is eventually updated to catch up + +The MemWAL Index `merged_generations` and region manifest `merged_generation` may temporarily differ. +The MemWAL Index is authoritative for conflict resolution; the region manifest is eventually consistent and used for `flushed_generations` cleanup. + +For a concrete example, see [Appendix 2: Concurrent Merger Example](#appendix-2-concurrent-merger-example). + +#### Implementation Consideration: Atomic Index Maintenance + +The merge commit should atomically update both data and indexes in the base table. +If data is merged but indexes are updated separately (e.g., via a background rebuild), there is a window where: + +1. Merged data exists in the base table but is not covered by base table indexes +2. The flushed MemTable (with its indexes) has been garbage collected +3. Queries must fall back to brute-force scans for the unindexed data, degrading performance + +To avoid this performance degradation: + +| Index Type | Recommended Approach | +|------------|---------------------| +| **Btree** | Incremental insert during merge transaction | +| **FTS** | Incremental update to posting lists and statistics | +| **Vector (IVF)** | Add vectors to existing partitions without retraining centroids | + +For vector indexes, adding to existing IVF partitions may cause partition imbalance over time. +Periodic rebalancing (e.g., SPFresh-style centroid updates) can address this, but the rebalancing operation itself should also be atomic with any data changes it affects. + +If atomic index maintenance is not feasible for a particular index type, implementations should either: + +- **Delay garbage collection**: Keep flushed MemTable indexes until base table indexes are updated +- **Track index coverage**: Maintain separate `index_merged_generation` to know which generations are covered by base table indexes + +### MemWAL Index Builder + +A background process periodically builds a new region snapshot: + +1. Load the existing MemWAL Index to preserve configuration (`region_specs`, `maintained_indexes`) and merge progress (`merged_generations`) +2. List all region directories under `_memwal/` +3. For each region: + - Load the region manifest + - Scan WAL entries sequentially to find the actual last entry ID + - If the observed WAL ID is greater than `wal_id_last_seen`, update the region manifest + - Copy manifest fields (including `flushed_generations`) into a region snapshot row +4. Determine storage strategy based on region count: + - If `num_regions <= threshold`: Serialize as Lance file bytes to `inline_snapshots` + - If `num_regions > threshold`: Write as Lance file to `_indices/{UUID}/index.lance` +5. Create new `MemWalIndexDetails` with preserved configuration, merge progress, and new region snapshots +6. Update the table manifest with the new index metadata + +This process serves two purposes: + +- Keeps `wal_id_last_seen` up-to-date in region manifests (since writers don't update it on every WAL flush) +- Provides readers with an efficient snapshot of all region states + +The build frequency is implementation-defined. More frequent builds reduce staleness but increase I/O overhead. + +#### Configuration Updates + +To update MemWAL configuration (add/remove region specs or maintained indexes): + +1. Load the existing MemWAL Index +2. Modify the configuration fields (`region_specs`, `maintained_indexes`) +3. Keep the existing `merged_generations` and region snapshots (or rebuild snapshots) +4. Write the new index with updated configuration +5. Update the table manifest with the new index metadata + +Configuration changes are versioned with the table manifest, ensuring writers and readers see consistent configuration for each table version. + +### Garbage Collection + +Garbage collection removes obsolete data from the region directory. This is a file-only operation that does not update the region manifest. + +Eligible for deletion: + +1. **Flushed MemTable directories**: Generation directories where `generation <= merged_generation` +2. **WAL data files**: Files referenced only by deleted generations +3. **Old region manifest versions**: Versions older than the current version minus a retention threshold +4. **Orphaned directories**: Directories matching `*_gen_*` pattern but not in `flushed_generations` (from failed flush attempts) + +**Time travel consideration**: Garbage collection must not remove generations that are reachable by any retained base table version. When a reader opens an older table version, the MemWAL Index snapshot from that version references specific `merged_generation` values. Generations that satisfy `generation > merged_generation` for any retained table version must be preserved. + +Garbage collection must verify that no flushed MemTable still references a WAL file before deletion. + +## Reader Expectations + +### Consistency Guarantees + +Reader consistency depends on two dimensions: + +| Dimension | Options | +|-----------|---------| +| **MemTable access** | Has access to in-memory MemTable, or only persisted data | +| **Manifest source** | Reads region manifests directly, or uses MemWAL Index | + +**Strong consistency** requires both: + +1. Access to in-memory MemTables for **all** regions involved in the query +2. Reading region manifests directly (not via MemWAL Index) + +Otherwise, the query is **eventually consistent**. + +#### Consistency Matrix + +| MemTable Access | Manifest Source | Consistency | +|-----------------|-----------------|-------------| +| All regions | Region manifest | **Strong** | +| All regions | MemWAL Index | Eventually consistent (index may be stale) | +| Partial/None | Region manifest | Eventually consistent (missing unflushed data) | +| Partial/None | MemWAL Index | Eventually consistent (both sources of staleness) | + +#### Sources of Staleness + +- **Missing MemTable access**: Unflushed data in a writer's in-memory MemTable is not visible +- **Stale MemWAL Index**: Newly flushed MemTables are not visible until the index is rebuilt +- **Stale region manifest cache**: If readers cache region manifests, newly flushed MemTables may not be visible + +### Query Planning + +From the query planner's perspective, MemWAL data is abstracted as a mapping: + +``` +region -> generation -> Dataset +``` + +Where: + +- **Region**: UUID identifying the region +- **Generation**: Integer generation number (`-1` for base table, `1+` for MemTables) +- **Dataset**: Either in-memory MemTable or persisted flushed MemTable (Lance table) + +The planner collects datasets from: + +1. **Base table**: generation = -1 +2. **Flushed MemTables**: generations in range `(merged_generation, current_generation)` from region manifest or MemWAL Index +3. **In-memory MemTable**: generation = `current_generation` (if accessible) + +### Query Execution + +Query execution unions all datasets and deduplicates by primary key. + +**Deduplication ranking** uses two virtual columns: + +- `_gen`: Generation number (-1 for base, 1+ for MemTables) +- `_rowaddr`: Row address within the dataset + +The ordering for "newest" is: highest `_gen` first, then highest `_rowaddr` (within the same generation, later rows win). + +A single write batch may contain duplicate primary keys. Query execution must deduplicate, keeping only the newest row for each key. + +For detailed query plans by query type, see [Appendix 3: Query Execution Examples](#appendix-3-query-execution-examples). + +## Durability Guarantees + +| Mode | Guarantee | Latency | +|------|-----------|---------| +| Durable write | Data persisted to object storage before return | Higher (S3 PUT latency) | +| Non-durable write | Data in memory only until next flush | Lower (memory write only) | + +Writers using non-durable writes accept potential data loss between the last flush and a crash. +The flush interval and buffer size thresholds control the maximum data at risk. + +For configuration details, see [Writer Configuration](#writer-configuration). + +## MemWAL Optimizations + +One key reason we call the whole system MemWAL is that we could perform the following 2 optimziations +to minimize flush latency: + +### WAL Flush + +the list of fragments in MemTable can be viewed as an in-memory buffer of the WAL. This means instead of writing the same data twice to MemTable and WAL, we write data once to MemTable, and then WAL can be flushed from the data file in the fragments. + +### MemTable Flush + +because the list of WAL entries are Lance data files, +we can directly treat them as the data files of the flushed MemTable. + +## Appendices + +### Appendix 1: Writer Fencing Example + +This example demonstrates how epoch-based fencing prevents data corruption when two writers compete for the same region. + +#### Initial State + +``` +Region manifest (version 1): + writer_epoch: 5 + replay_after_wal_id: 10 + wal_id_last_seen: 12 +``` + +#### Scenario + +| Step | Writer A | Writer B | Manifest State | +|------|----------|----------|----------------| +| 1 | Loads manifest, sees epoch=5 | | epoch=5, version=1 | +| 2 | Increments to epoch=6, writes manifest v2 | | epoch=6, version=2 | +| 3 | Starts writing WAL entries 13, 14, 15 | | | +| 4 | | Loads manifest v2, sees epoch=6 | epoch=6, version=2 | +| 5 | | Increments to epoch=7, writes manifest v3 | epoch=7, version=3 | +| 6 | | Starts writing WAL entries 16, 17 | | +| 7 | Tries to flush MemTable, loads manifest | | | +| 8 | Sees epoch=7, but local epoch=6 | | | +| 9 | **Writer A is fenced!** Aborts all operations | | | +| 10 | | Continues writing normally | epoch=7, version=3 | + +#### What Happens to Writer A's WAL Entries? + +Writer A wrote WAL entries 13, 14, 15 with `writer_epoch=6` in their schema metadata. + +When Writer B performs crash recovery or MemTable flush: + +1. Reads WAL entries sequentially starting from `replay_after_wal_id + 1` (entry 13) +2. For each entry, checks existence using HEAD request on the bit-reversed filename +3. Continues until an entry is not found (e.g., entry 18 doesn't exist) +4. Finds entries 13, 14, 15, 16, 17 +5. Reads each file's `writer_epoch` from schema metadata +6. Entries 13, 14, 15 have `writer_epoch=6` which is ≤ current epoch (7) → **valid, will be replayed** +7. Entries 16, 17 have `writer_epoch=7` → **valid, will be replayed** + +#### Key Points + +1. **No data loss**: Writer A's entries are not discarded. They were written with a valid epoch at the time and will be included in recovery. + +2. **Consistency preserved**: Writer A is prevented from making further writes that could conflict with Writer B. + +3. **Orphaned files are safe**: WAL files from fenced writers remain on storage and are replayed by the new writer. They are only garbage collected after being included in a flushed MemTable that has been merged. + +4. **Epoch validation timing**: Writers check their epoch before manifest updates (MemTable flush), not on every WAL write. This keeps the hot path fast while ensuring consistency at commit boundaries. + +### Appendix 2: Concurrent Merger Example + +This example demonstrates how MemWAL Index and conflict resolution handle concurrent mergers safely. + +#### Initial State + +``` +MemWAL Index: + merged_generations: {region: 5} + +Region manifest (version 1): + merged_generation: 5 + current_generation: 8 + flushed_generations: [(6, "abc123_gen_6"), (7, "def456_gen_7")] +``` + +#### Scenario 1: Racing on the Same Generation + +Two mergers both try to merge generation 6 concurrently. + +| Step | Merger A | Merger B | MemWAL Index | Region Manifest | +|------|----------|----------|--------------|-----------------| +| 1 | Reads index: merged_gen=5 | | merged_gen=5 | merged_gen=5 | +| 2 | Reads region manifest | | | | +| 3 | Starts merging gen 6 | | | | +| 4 | | Reads index: merged_gen=5 | merged_gen=5 | merged_gen=5 | +| 5 | | Reads region manifest | | | +| 6 | | Starts merging gen 6 | | | +| 7 | Commits (merged_gen=6) | | **merged_gen=6** | merged_gen=5 | +| 8 | | Tries to commit | | | +| 9 | | **Conflict**: reads new index | | | +| 10 | | Sees merged_gen=6 >= 6, aborts | | | +| 11 | Updates region manifest | | merged_gen=6 | **merged_gen=6** | +| 12 | | Reloads, continues to gen 7 | | | + +Merger B's conflict resolution detected that generation 6 was already merged by checking the MemWAL Index in the conflicting commit. + +#### Scenario 2: Stale Merger with Out-of-Order Attempt + +Merger B has a stale view and tries to merge an older generation. + +| Step | Merger A | Merger B | MemWAL Index | Region Manifest | +|------|----------|----------|--------------|-----------------| +| 1 | Reads index, region manifest | | merged_gen=5 | merged_gen=5 | +| 2 | Merges gen 6, commits | | **merged_gen=6** | merged_gen=5 | +| 3 | Updates region manifest | | merged_gen=6 | **merged_gen=6** | +| 4 | Merges gen 7, commits | | **merged_gen=7** | merged_gen=6 | +| 5 | Updates region manifest | | merged_gen=7 | **merged_gen=7** | +| 6 | | Reads stale index | merged_gen=7 | merged_gen=7 | +| 7 | | Thinks gen 6 needs merging | | | +| 8 | | Tries to commit gen 6 | | | +| 9 | | **Conflict**: reads new index | | | +| 10 | | Sees merged_gen=7 >= 6, aborts | | | +| 11 | | Reloads index, skips gen 6, 7 | | | + +Even with a stale MemWAL Index, Merger B correctly detected that generation 6 was already merged by checking the authoritative MemWAL Index in the conflicting commit. + +#### Scenario 3: Crash After Table Commit + +Merger A crashes after committing to the table but before updating the region manifest. + +| Step | Merger A | Merger B | MemWAL Index | Region Manifest | +|------|----------|----------|--------------|-----------------| +| 1 | Reads index: merged_gen=5 | | merged_gen=5 | merged_gen=5 | +| 2 | Merges gen 6, commits | | **merged_gen=6** | merged_gen=5 | +| 3 | **CRASH** before region update | | merged_gen=6 | merged_gen=5 | +| 4 | | Reads index: merged_gen=6 | merged_gen=6 | merged_gen=5 | +| 5 | | Reads region manifest | | | +| 6 | | Region says gen 6 unmerged... | | | +| 7 | | But index says merged_gen=6 | | | +| 8 | | **Skips gen 6** (index authoritative) | | | +| 9 | | Merges gen 7, commits | | **merged_gen=7** | +| 10 | | Updates region manifest | | **merged_gen=7** | + +The MemWAL Index is authoritative. Even though the region manifest was stale, Merger B correctly used the MemWAL Index to determine that generation 6 was already merged. + +#### Key Points + +1. **MemWAL Index is authoritative**: The `merged_generations` in MemWAL Index is the source of truth for merge progress, updated atomically with data. + +2. **Region manifest is eventually consistent**: It may lag behind MemWAL Index after crashes, but is eventually updated by subsequent mergers. + +3. **Conflict resolution uses MemWAL Index**: When a commit conflicts, the merger checks the conflicting commit's MemWAL Index, not the region manifest. + +4. **No progress regression**: Because MemWAL Index is updated atomically with data, concurrent mergers cannot regress the merge progress. + +5. **Crash recovery is safe**: If a merger crashes after table commit but before region manifest update, subsequent mergers use MemWAL Index to skip already-merged generations. + +### Appendix 3: Query Execution Examples + +This appendix provides query plan examples. All examples assume the planner has collected datasets as: + +``` +datasets = { + -1: base_table, # generation -1 = base table + 1: flushed_gen_1, # flushed MemTable generation 1 + 2: flushed_gen_2, # flushed MemTable generation 2 + 3: in_memory_memtable, # current generation (if accessible) +} +``` + +The core pattern for all queries: + +1. **Union** all datasets with their generation number +2. **Deduplicate** by primary key, ranking by `(_gen DESC, _rowaddr DESC)` +3. **Apply** query-specific operators (filter, sort, limit) + +#### Scan Queries + +``` +GlobalLimitExec: limit=n + DeduplicateExec: partition_by=[primary_key], order_by=[_gen DESC, _rowaddr DESC] + UnionExec + ScanExec: dataset[gen=-1], projection=[columns], filter=[pushed_down] + ScanExec: dataset[gen=1], projection=[columns], filter=[pushed_down] + ScanExec: dataset[gen=2], projection=[columns], filter=[pushed_down] + ScanExec: dataset[gen=3], projection=[columns] +``` + +Early termination is possible with a streaming deduplicate operator. + +#### Vector Search Queries + +Vector search requires special handling for staleness detection. Consider this scenario: + +1. Base table has `pk=123` with vector `v1` that matches the query (distance = 0.1) +2. MemTable has `pk=123` with updated vector `v2` that doesn't match (distance = 0.9) +3. KNN search on base table returns `pk=123` (good score) +4. KNN search on MemTable does NOT return `pk=123` (v2 is far from query) +5. Without staleness detection, the old version from base table would be incorrectly returned + +The solution uses the **primary key btree index** to filter out stale results: + +``` +GlobalLimitExec: limit=k + SortExec: order_by=[_dist ASC] + FilterStaleExec: pk_indexes=[btree[gen=3], btree[gen=2], btree[gen=1]] + UnionExec + KNNExec: dataset[gen=3], k=k*overfetch -- highest gen first + KNNExec: dataset[gen=2], k=k*overfetch + KNNExec: dataset[gen=1], k=k*overfetch + KNNExec: dataset[gen=-1], k=k*overfetch +``` + +For each candidate from generation G, `FilterStaleExec` checks if the primary key exists in btree indexes of generations > G. If found, the candidate is filtered out. The newer version doesn't participate in ranking since it didn't match the query. + +#### Full-Text Search Queries + +Full-text search has two challenges across generations: + +1. **Staleness**: A document may match a query in an older generation but not in a newer generation after the text was updated +2. **Score comparability**: BM25 scores depend on corpus statistics which differ per generation + +**Solution:** Use global BM25 scoring (Lucene-style) with staleness filtering. + +``` +-- Physical plan +GlobalLimitExec: limit=k + SortExec: order_by=[_bm25 DESC] + FilterStaleExec: pk_indexes=[btree[gen=3], btree[gen=2], btree[gen=1]] + GlobalBM25Exec: -- aggregates stats, creates single scorer + UnionExec + FTSExec: dataset[gen=3], query="search terms" + FTSExec: dataset[gen=2], query="search terms" + FTSExec: dataset[gen=1], query="search terms" + FTSExec: dataset[gen=-1], query="search terms" +``` + +**GlobalBM25Exec** performs: + +1. Collects `doc_count` and `sum_total_term_freq` from all FTS indexes +2. Computes global `N` and `avgdl` +3. For query terms, sums `df(term)` from all indexes to compute global IDF +4. Passes global BM25 parameters to each `FTSExec` +5. All candidates receive globally-comparable BM25 scores + +This ensures fair ranking between base table (large corpus) and MemTable (small corpus) results. +See [Full-Text Search Indexes](#full-text-search-indexes) for details on the global scoring approach. + +#### Point Lookups + +Point lookups can short-circuit by checking newest generations first: + +``` +-- Physical plan (short-circuit evaluation) +CoalesceExec: return_first_non_null + -- Check newest generation first, take last row (scan is ordered by _rowaddr) + TakeLastExec: + ScanExec: dataset[gen=3], filter=[primary_key = target] + TakeLastExec: + ScanExec: dataset[gen=2], filter=[primary_key = target] + TakeLastExec: + ScanExec: dataset[gen=1], filter=[primary_key = target] + TakeLastExec: + ScanExec: dataset[gen=-1], filter=[primary_key = target] +``` + +Point lookups terminate early once the key is found. Since scans are naturally ordered by `_rowaddr`, we take the last matching row without explicit sorting. + +### Appendix 4: Execution Nodes + +This appendix describes custom execution nodes for MemWAL query execution. These nodes are optimized for MemWAL's data model where each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`. + +#### DeduplicateExec + +Deduplicates rows by primary key, keeping the row with highest `(_gen, _rowaddr)`. + +**Semantics:** +``` +For each primary key across all input datasets: + Keep the row with max(_gen), breaking ties by max(_rowaddr) +``` + +**Optimized implementation:** + +Since each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`: + +1. Process datasets from highest `_gen` to lowest +2. Maintain a set of seen primary keys +3. For each dataset: + - Scan rows (naturally ordered by `_rowaddr`) + - For each primary key, buffer rows until key changes, emit last row + - Skip primary keys already in seen set + - Add emitted primary keys to seen set +4. Stream results without full materialization + +**Complexity:** O(n) where n = total rows, with O(k) memory where k = unique primary keys. + +#### TakeLastExec + +Takes the last row from an ordered input stream. + +**Semantics:** +``` +Buffer rows until input exhausted, emit final row +``` + +**Optimized implementation:** + +Since we only need the last row: + +1. Iterate through input, keeping only the most recent row in memory +2. On input exhaustion, emit the buffered row (or nothing if empty) + +**Complexity:** O(n) time, O(1) memory (single row buffer). + +#### CoalesceFirstExec + +Returns the first non-null/non-empty result from multiple inputs, with short-circuit evaluation. + +**Semantics:** +``` +For each input in order: + Execute input + If result is non-empty, return it immediately + Otherwise, continue to next input +Return empty if all inputs are empty +``` + +**Implementation:** + +1. Inputs are evaluated lazily in order +2. On first non-empty result, return immediately without evaluating remaining inputs +3. Useful for point lookups: check newest generation first, return on match + +**Complexity:** Best case O(1) inputs evaluated, worst case O(k) where k = number of inputs. + +#### FilterStaleExec + +Filters out rows that have a newer version in a higher generation. Used for search workloads where the newer version may not appear in search results (e.g., updated vector no longer matches query). + +**Parameters:** + +- `pk_indexes`: List of primary key btree indexes for each generation, ordered by generation descending + +**Why btree index lookup is necessary:** + +A naive approach would only check if the same primary key appears in search results from newer generations. However, this fails when: + +1. Vector `v1` (generation 1) matches query → returned by KNN +2. Vector `v2` (generation 2, same pk) doesn't match query → NOT returned by KNN +3. Naive approach: pk only appears once in results → not filtered (WRONG) +4. Btree approach: check btree[gen=2] for pk → found → filtered out (CORRECT) + +**Behavior:** + +Stale results are **filtered out** (not included in output). They do not participate in final ranking. This is the correct semantic for search: if a row was updated and the new version doesn't match the query, the old matching version should not be returned. + +**Algorithm (iterative roll-up):** + +Process generations from highest to lowest, accumulating known primary keys: + +``` +known_pks = {} # pks confirmed to exist in processed generations + +For gen in [highest_gen, ..., lowest_gen]: + gen_candidates = candidates.filter(_gen == gen) + + For each candidate (pk, gen) in gen_candidates: + # Fast path: pk already seen in a higher generation's results + If pk in known_pks: + Filter out candidate (stale) + Continue + + # Slow path: check btree indexes of higher generations + For check_gen in [highest_gen, ..., gen+1]: + If pk_indexes[check_gen].contains(pk): + Filter out candidate (stale) + Break + + If not filtered: + Emit candidate + + # Roll up: add all pks from this generation's btree to known set + # This enables fast-path checks for lower generations + known_pks.add_all(pk_indexes[gen].keys()) +``` + +**Why roll-up matters:** + +Without roll-up, each candidate requires btree lookups in all higher generations. With roll-up: + +1. Process gen 3: emit candidates, add gen 3 pks to `known_pks` +2. Process gen 2: check `known_pks` first (O(1)), then btree if needed +3. Process gen 1: many pks already in `known_pks`, fewer btree lookups + +**Complexity:** + +- Best case: O(n) when most pks are found via `known_pks` fast path +- Worst case: O(n × g × log m) where n = candidates, g = generations, m = rows per generation + +**Optimization:** For in-memory btree indexes (cached from flushed MemTables), lookups are O(log m) with no I/O. The base table may use a different staleness check mechanism (e.g., deletion vectors) since it doesn't maintain an in-memory btree. + +#### Usage in Query Plans + +| Query Type | Execution Pattern | +|------------|-------------------| +| Scan | `DeduplicateExec` → streams deduplicated rows | +| Point Lookup | `CoalesceFirstExec` → `TakeLastExec` per dataset | +| Vector Search | `FilterStaleExec(pk_indexes)` → `SortExec(_dist)` → `LimitExec` | +| Full-Text Search | `GlobalBM25Exec` → `FilterStaleExec(pk_indexes)` → `SortExec(_bm25)` → `LimitExec` | + +**Note on Vector/FTS Search:** + +- **Staleness filtering:** `FilterStaleExec` uses primary key btree indexes to filter out stale versions even when the newer version doesn't appear in search results (e.g., updated vector/text no longer matches query). 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============================================================================ + +// Region manifest containing epoch-based fencing and WAL state. +// Each region has exactly one active writer at any time. +message RegionManifest { + // Region identifier (UUID v4). + UUID region_id = 11; + + // Manifest version number. + // Matches the version encoded in the filename. + uint64 version = 1; + + // Region spec ID this region was created with. + // Set at region creation and immutable thereafter. + // A value of 0 indicates a manually-created region not governed by any spec. + uint32 region_spec_id = 10; + + // Writer fencing token - monotonically increasing. + // A writer must increment this when claiming the region. + uint64 writer_epoch = 2; + + // The most recent WAL entry ID that has been flushed to a MemTable. + // During recovery, replay starts from replay_after_wal_id + 1. + uint64 replay_after_wal_id = 3; + + // The most recent WAL entry ID at the time manifest was updated. + // This is a hint, not authoritative - recovery must list files to find actual state. + uint64 wal_id_last_seen = 4; + + // Next generation ID to create (incremented after each MemTable flush). + uint64 current_generation = 6; + + // Last generation merged to base table. + // Generations <= merged_generation can be garbage collected. + uint64 merged_generation = 7; + + // List of flushed MemTable generations and their directory paths. + repeated FlushedGeneration flushed_generations = 8; +} + +// A flushed MemTable generation and its storage location. +message FlushedGeneration { + // Generation number. + uint64 generation = 1; + + // Directory name relative to the region directory. + string path = 2; +} + +// A region's merged generation, used in MemWalIndexDetails. +message MergedGeneration { + // Region identifier (UUID v4). + UUID region_id = 1; + + // Last generation merged to base table for this region. + uint64 generation = 2; +} + +// Index details for MemWAL Index, stored in IndexMetadata.index_details. +// This is the centralized structure for all MemWAL metadata: +// - Configuration (region specs, indexes to maintain) +// - Merge progress (merged generations per region) +// - Region state snapshots +// +// Writers read this index to get configuration before writing. +// Readers read this index to discover regions and their state. +// A background process updates the index periodically to keep region snapshots current. +// +// Region snapshots are stored as a Lance file with one row per region. +// The schema has one column per RegionManifest field, with region fields as columns: +// region_id: fixed_size_binary(16) -- UUID bytes +// version: uint64 +// region_spec_id: uint32 +// writer_epoch: uint64 +// replay_after_wal_id: uint64 +// wal_id_last_seen: uint64 +// current_generation: uint64 +// merged_generation: uint64 +// flushed_generations: list> message MemWalIndexDetails { + // Snapshot timestamp (Unix timestamp in seconds). + int64 snapshot_timestamp = 1; + + // Number of regions in the snapshot. + // Used to determine storage format without reading the snapshot data. + uint32 num_regions = 2; + + // Inline region snapshots for small region counts. + // When num_regions <= threshold (implementation-defined, e.g., 100), + // snapshots are stored inline as serialized bytes. + // Format: Lance file bytes with the region snapshot schema. + optional bytes inline_snapshots = 3; + + // Region specs defining how to derive region identifiers. + // This configuration determines how rows are partitioned into regions. + repeated RegionSpec region_specs = 7; + + // Indexes from the base table to maintain in MemTables. + // These are index names referencing indexes defined on the base table. + // The primary key btree index is always maintained implicitly and + // should not be listed here. + // + // For vector indexes, MemTables inherit quantization parameters (PQ codebook, + // SQ params) from the base table index to ensure distance comparability. + repeated string maintained_indexes = 8; + + // Last generation merged to base table for each region. + // This is updated atomically with merge-insert data commits, enabling + // conflict resolution when multiple mergers operate concurrently. + // + // Note: This is separate from region snapshots because: + // 1. merged_generations is updated by mergers (atomic with data commit) + // 2. region snapshots are updated by background index builder + repeated MergedGeneration merged_generations = 9; +} - repeated MemWal mem_wal_list = 1; +// Region spec definition. +message RegionSpec { + // Unique identifier for this spec within the index. + // IDs are never reused. + uint32 spec_id = 1; - message MemWalId { - // The name of the region that this specific MemWAL is responsible for. - string region = 1; + // Region field definitions that determine how to compute region identifiers. + repeated RegionField fields = 2; +} - // The generation of the MemWAL. - // Every time a new MemWAL is created and an old one is sealed, - // the generation number of the next MemWAL is incremented. - // At any given point of time for all MemWALs of the same name, - // there must be only 1 generation that is not sealed. - uint64 generation = 2; - } +// Region field definition. +message RegionField { + // Unique string identifier for this region field. + string field_id = 1; - // A combination of MemTable and WAL for fast upsert. - message MemWal { - - enum State { - // MemWAL is open and accepting new entries - OPEN = 0; - // When a MemTable is considered full, the writer should update this MemWAL as sealed - // and create a new MemWAL to write to atomically. - SEALED = 1; - // When a MemTable is sealed, it can be flushed asynchronously to disk. - // This state indicates the data has been persisted to disk but not yet merged - // into the source table. - FLUSHED = 2; - // When the flushed data has been merged into the source table. - // After a MemWAL is merged, the cleanup process can delete the WAL. - MERGED = 3; - } - - MemWalId id = 1; - - // The MemTable location, which is likely an in-memory address starting with memory://. - // The actual details of how the MemTable is stored is outside the concern of Lance. - string mem_table_location = 2; - - // the root location of the WAL. - // THe WAL storage durability determines the data durability. - // This location is immutable once set at MemWAL creation time. - string wal_location = 3; - - // All entries in the WAL, serialized as U64Segment. - // Each entry in the WAL has a uint64 sequence ID starting from 0. - // The actual details of how the WAL entry is stored is outside the concern of Lance. - // In most cases this U64Segment should be a simple range. - // Every time the writer starts writing, it must always try to atomically write to the last entry ID + 1. - // If fails due to concurrent writer, it then tries to write to the +2, +3, +4, etc. entry ID until succeed. - // but if there are 2 writers accidentally writing to the same WAL concurrently, - // although one writer will fail to update this index at commit time, - // the WAL entry is already written, - // causing some holes within the U64Segment range. - bytes wal_entries = 4; - - // The current state of the MemWAL, indicating its lifecycle phase. - // States progress: OPEN -> SEALED -> FLUSHED - // OPEN: MemWAL is accepting new WAL entries - // SEALED: MemWAL has been sealed and no longer accepts new WAL entries - // FLUSHED: MemWAL has been flushed to the source Lance table and can be cleaned up - State state = 5; - - // The owner identifier for this MemWAL, used for compare-and-swap operations. - // When a writer wants to perform any operation on this MemWAL, it must provide - // the expected owner_id. This serves as an optimistic lock to prevent concurrent - // writers from interfering with each other. When a new writer starts replay, - // it must first atomically update this owner_id to claim ownership. - // All subsequent operations will fail if the owner_id has changed. - string owner_id = 6; - - // The dataset version that last updated this MemWAL. - // This is set to the new dataset version whenever the MemWAL is created or modified. - uint64 last_updated_dataset_version = 7; - } + // Field IDs referencing source columns in the schema. + repeated int32 source_ids = 2; + + // Well-known region transform name (e.g., "identity", "year", "bucket"). + // Mutually exclusive with expression. + optional string transform = 3; + + // DataFusion SQL expression for custom logic. + // Mutually exclusive with transform. + optional string expression = 4; + + // Output type of the region value (Arrow type name). + string result_type = 5; + + // Transform parameters (e.g., num_buckets for bucket transform). + map parameters = 6; } + diff --git a/protos/transaction.proto b/protos/transaction.proto index 638898f4197..17d96486736 100644 --- a/protos/transaction.proto +++ b/protos/transaction.proto @@ -235,8 +235,8 @@ message Transaction { repeated DataFragment new_fragments = 3; // The ids of the fields that have been modified. repeated uint32 fields_modified = 4; - /// The MemWAL (pre-image) that should be marked as merged after this transaction - MemWalIndexDetails.MemWal mem_wal_to_merge = 5; + /// List of MemWAL region generations to mark as merged after this transaction + repeated MergedGeneration merged_generations = 5; /// The fields that used to judge whether to preserve the new frag's id into /// the frag bitmap of the specified indices. repeated uint32 fields_for_preserving_frag_bitmap = 6; @@ -305,15 +305,12 @@ message Transaction { repeated DataReplacementGroup replacements = 1; } - // Update the state of the MemWal index + // Update the merged generations in MemWAL index. + // This operation is used during merge-insert to atomically record which + // generations have been merged to the base table. message UpdateMemWalState { - - repeated MemWalIndexDetails.MemWal added = 1; - - repeated MemWalIndexDetails.MemWal updated = 2; - - // If a MemWAL is updated, its pre-image should be in the removed list. - repeated MemWalIndexDetails.MemWal removed = 3; + // Regions and generations being marked as merged. + repeated MergedGeneration merged_generations = 1; } // An operation that updates base paths in the dataset. diff --git a/rust/lance-index/src/mem_wal.rs b/rust/lance-index/src/mem_wal.rs index 7ba1cab80c4..f80eb678e3a 100644 --- a/rust/lance-index/src/mem_wal.rs +++ b/rust/lance-index/src/mem_wal.rs @@ -1,208 +1,291 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The Lance Authors -use crate::{Index, IndexType}; +use std::any::Any; +use std::collections::HashMap; +use std::sync::Arc; + use async_trait::async_trait; -use lance_core::cache::DeepSizeOf; +use deepsize::DeepSizeOf; use lance_core::Error; use lance_table::format::pb; -use lance_table::rowids::segment::U64Segment; -use prost::Message; use roaring::RoaringBitmap; use serde::{Deserialize, Serialize}; use snafu::location; -use std::any::Any; -use std::collections::{BTreeMap, HashMap}; -use std::sync::Arc; +use uuid::Uuid; + +use crate::{Index, IndexType}; pub const MEM_WAL_INDEX_NAME: &str = "__lance_mem_wal"; -#[derive(Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Serialize, Deserialize, DeepSizeOf)] -pub enum State { - Open, - Sealed, - Flushed, - Merged, +/// Region identifier (UUID v4). +#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)] +pub struct RegionId(pub Uuid); + +impl PartialOrd for RegionId { + fn partial_cmp(&self, other: &Self) -> Option { + Some(self.cmp(other)) + } } -impl From for pb::mem_wal_index_details::mem_wal::State { - fn from(state: State) -> Self { - match state { - State::Open => Self::Open, - State::Sealed => Self::Sealed, - State::Flushed => Self::Flushed, - State::Merged => Self::Merged, - } +impl Ord for RegionId { + fn cmp(&self, other: &Self) -> std::cmp::Ordering { + self.0.as_bytes().cmp(other.0.as_bytes()) } } -impl TryFrom for State { - type Error = Error; +impl DeepSizeOf for RegionId { + fn deep_size_of_children(&self, _context: &mut deepsize::Context) -> usize { + 0 // UUID is 16 bytes fixed size, no heap allocations + } +} + +impl RegionId { + pub fn new() -> Self { + Self(Uuid::new_v4()) + } + + pub fn from_uuid(uuid: Uuid) -> Self { + Self(uuid) + } +} - fn try_from(state: pb::mem_wal_index_details::mem_wal::State) -> lance_core::Result { - match state { - pb::mem_wal_index_details::mem_wal::State::Open => Ok(Self::Open), - pb::mem_wal_index_details::mem_wal::State::Sealed => Ok(Self::Sealed), - pb::mem_wal_index_details::mem_wal::State::Flushed => Ok(Self::Flushed), - pb::mem_wal_index_details::mem_wal::State::Merged => Ok(Self::Merged), +impl Default for RegionId { + fn default() -> Self { + Self::new() + } +} + +impl From<&RegionId> for pb::Uuid { + fn from(region_id: &RegionId) -> Self { + Self { + uuid: region_id.0.as_bytes().to_vec(), } } } -impl TryFrom for State { +impl TryFrom<&pb::Uuid> for RegionId { type Error = Error; - fn try_from(value: i32) -> lance_core::Result { - match value { - 0 => Ok(Self::Open), - 1 => Ok(Self::Sealed), - 2 => Ok(Self::Flushed), - 3 => Ok(Self::Merged), - _ => Err(Error::invalid_input( - format!("Unknown MemWAL state value: {}", value), + fn try_from(uuid: &pb::Uuid) -> lance_core::Result { + if uuid.uuid.len() != 16 { + return Err(Error::invalid_input( + format!("Invalid UUID length: {}", uuid.uuid.len()), location!(), - )), + )); } + let mut bytes = [0u8; 16]; + bytes.copy_from_slice(&uuid.uuid); + Ok(Self(Uuid::from_bytes(bytes))) } } -#[derive(Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Serialize, Deserialize, DeepSizeOf)] -pub struct MemWalId { - pub region: String, +/// A flushed MemTable generation and its storage location. +#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +pub struct FlushedGeneration { pub generation: u64, + pub path: String, } -impl From<&MemWalId> for pb::mem_wal_index_details::MemWalId { - fn from(mem_wal: &MemWalId) -> Self { +impl From<&FlushedGeneration> for pb::FlushedGeneration { + fn from(fg: &FlushedGeneration) -> Self { Self { - region: mem_wal.region.clone(), - generation: mem_wal.generation, + generation: fg.generation, + path: fg.path.clone(), } } } -impl TryFrom for MemWalId { - type Error = Error; - - fn try_from(mem_wal: pb::mem_wal_index_details::MemWalId) -> lance_core::Result { - Ok(Self { - region: mem_wal.region.clone(), - generation: mem_wal.generation, - }) +impl From for FlushedGeneration { + fn from(fg: pb::FlushedGeneration) -> Self { + Self { + generation: fg.generation, + path: fg.path, + } } } -impl MemWalId { - pub fn new(region: &str, generation: u64) -> Self { +/// A region's merged generation, used in MemWalIndexDetails. +#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Hash, Serialize, Deserialize, DeepSizeOf)] +pub struct MergedGeneration { + pub region_id: RegionId, + pub generation: u64, +} + +impl MergedGeneration { + pub fn new(region_id: RegionId, generation: u64) -> Self { Self { - region: region.to_owned(), + region_id, generation, } } } -#[derive(Debug, Clone, PartialEq, Eq, Hash, PartialOrd, Serialize, Deserialize, DeepSizeOf)] -pub struct MemWal { - pub id: MemWalId, - pub mem_table_location: String, - pub wal_location: String, - pub wal_entries: Vec, - pub state: State, - pub owner_id: String, - pub last_updated_dataset_version: u64, +impl From<&MergedGeneration> for pb::MergedGeneration { + fn from(mg: &MergedGeneration) -> Self { + Self { + region_id: Some(pb::Uuid::from(&mg.region_id)), + generation: mg.generation, + } + } } -impl From<&MemWal> for pb::mem_wal_index_details::MemWal { - fn from(mem_wal: &MemWal) -> Self { +impl TryFrom for MergedGeneration { + type Error = Error; + + fn try_from(mg: pb::MergedGeneration) -> lance_core::Result { + let region_id = mg.region_id.as_ref().ok_or_else(|| { + Error::invalid_input("Missing region_id in MergedGeneration", location!()) + })?; + Ok(Self { + region_id: RegionId::try_from(region_id)?, + generation: mg.generation, + }) + } +} + +/// Region manifest containing epoch-based fencing and WAL state. +/// Each region has exactly one active writer at any time. +#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +pub struct RegionManifest { + pub region_id: RegionId, + pub version: u64, + pub region_spec_id: u32, + pub writer_epoch: u64, + pub replay_after_wal_id: u64, + pub wal_id_last_seen: u64, + pub current_generation: u64, + pub merged_generation: u64, + pub flushed_generations: Vec, +} + +impl From<&RegionManifest> for pb::RegionManifest { + fn from(rm: &RegionManifest) -> Self { Self { - id: Some(pb::mem_wal_index_details::MemWalId::from(&mem_wal.id)), - mem_table_location: mem_wal.mem_table_location.clone(), - wal_location: mem_wal.wal_location.clone(), - wal_entries: mem_wal.wal_entries.clone(), - state: pb::mem_wal_index_details::mem_wal::State::from(mem_wal.state.clone()) as i32, - owner_id: mem_wal.owner_id.clone(), - last_updated_dataset_version: mem_wal.last_updated_dataset_version, + region_id: Some(pb::Uuid::from(&rm.region_id)), + version: rm.version, + region_spec_id: rm.region_spec_id, + writer_epoch: rm.writer_epoch, + replay_after_wal_id: rm.replay_after_wal_id, + wal_id_last_seen: rm.wal_id_last_seen, + current_generation: rm.current_generation, + merged_generation: rm.merged_generation, + flushed_generations: rm.flushed_generations.iter().map(|fg| fg.into()).collect(), } } } -impl TryFrom for MemWal { +impl TryFrom for RegionManifest { type Error = Error; - fn try_from(mem_wal: pb::mem_wal_index_details::MemWal) -> lance_core::Result { - let state = State::try_from(mem_wal.state)?; - + fn try_from(rm: pb::RegionManifest) -> lance_core::Result { + let region_id = rm.region_id.as_ref().ok_or_else(|| { + Error::invalid_input("Missing region_id in RegionManifest", location!()) + })?; Ok(Self { - id: MemWalId::try_from(mem_wal.id.unwrap())?, - mem_table_location: mem_wal.mem_table_location.clone(), - wal_location: mem_wal.wal_location.clone(), - wal_entries: mem_wal.wal_entries, - state, - owner_id: mem_wal.owner_id, - last_updated_dataset_version: mem_wal.last_updated_dataset_version, + region_id: RegionId::try_from(region_id)?, + version: rm.version, + region_spec_id: rm.region_spec_id, + writer_epoch: rm.writer_epoch, + replay_after_wal_id: rm.replay_after_wal_id, + wal_id_last_seen: rm.wal_id_last_seen, + current_generation: rm.current_generation, + merged_generation: rm.merged_generation, + flushed_generations: rm + .flushed_generations + .into_iter() + .map(FlushedGeneration::from) + .collect(), }) } } -impl MemWal { - pub fn new_empty( - id: MemWalId, - mem_table_location: &str, - wal_location: &str, - owner_id: &str, - ) -> Self { +/// Region field definition. +#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +pub struct RegionField { + pub field_id: String, + pub source_ids: Vec, + pub transform: Option, + pub expression: Option, + pub result_type: String, + pub parameters: HashMap, +} + +impl From<&RegionField> for pb::RegionField { + fn from(rf: &RegionField) -> Self { Self { - id, - mem_table_location: mem_table_location.to_owned(), - wal_location: wal_location.to_owned(), - wal_entries: pb::U64Segment::from(U64Segment::Range(0..0)).encode_to_vec(), - state: State::Open, - owner_id: owner_id.to_owned(), - last_updated_dataset_version: 0, // placeholder, this will be filled during build_manifest + field_id: rf.field_id.clone(), + source_ids: rf.source_ids.clone(), + transform: rf.transform.clone(), + expression: rf.expression.clone(), + result_type: rf.result_type.clone(), + parameters: rf.parameters.clone(), } } +} - pub fn wal_entries(&self) -> U64Segment { - U64Segment::try_from(pb::U64Segment::decode(self.wal_entries.as_slice()).unwrap()).unwrap() +impl From for RegionField { + fn from(rf: pb::RegionField) -> Self { + Self { + field_id: rf.field_id, + source_ids: rf.source_ids, + transform: rf.transform, + expression: rf.expression, + result_type: rf.result_type, + parameters: rf.parameters, + } } +} - /// Check if the MemWAL is in the expected state - pub fn check_state(&self, expected: State) -> lance_core::Result<()> { - if self.state != expected { - return Err(Error::invalid_input( - format!( - "MemWAL {:?} is in state {:?}, but expected {:?}", - self.id, self.state, expected - ), - location!(), - )); +/// Region spec definition. +#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +pub struct RegionSpec { + pub spec_id: u32, + pub fields: Vec, +} + +impl From<&RegionSpec> for pb::RegionSpec { + fn from(rs: &RegionSpec) -> Self { + Self { + spec_id: rs.spec_id, + fields: rs.fields.iter().map(|f| f.into()).collect(), } - Ok(()) } +} - pub fn check_expected_owner_id(&self, expected: &str) -> lance_core::Result<()> { - if self.owner_id != expected { - return Err(Error::invalid_input( - format!( - "MemWAL {:?} has owner_id: {}, but expected {}", - self.id, self.owner_id, expected - ), - location!(), - )); +impl From for RegionSpec { + fn from(rs: pb::RegionSpec) -> Self { + Self { + spec_id: rs.spec_id, + fields: rs.fields.into_iter().map(RegionField::from).collect(), } - Ok(()) } } -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +/// Index details for MemWAL Index, stored in IndexMetadata.index_details. +#[derive(Debug, Clone, Default, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] pub struct MemWalIndexDetails { - pub mem_wal_list: Vec, + pub snapshot_timestamp: i64, + pub num_regions: u32, + pub inline_snapshots: Option>, + pub region_specs: Vec, + pub maintained_indexes: Vec, + pub merged_generations: Vec, } impl From<&MemWalIndexDetails> for pb::MemWalIndexDetails { fn from(details: &MemWalIndexDetails) -> Self { Self { - mem_wal_list: details.mem_wal_list.iter().map(|m| m.into()).collect(), + snapshot_timestamp: details.snapshot_timestamp, + num_regions: details.num_regions, + inline_snapshots: details.inline_snapshots.clone(), + region_specs: details.region_specs.iter().map(|rs| rs.into()).collect(), + maintained_indexes: details.maintained_indexes.clone(), + merged_generations: details + .merged_generations + .iter() + .map(|mg| mg.into()) + .collect(), } } } @@ -212,42 +295,50 @@ impl TryFrom for MemWalIndexDetails { fn try_from(details: pb::MemWalIndexDetails) -> lance_core::Result { Ok(Self { - mem_wal_list: details - .mem_wal_list + snapshot_timestamp: details.snapshot_timestamp, + num_regions: details.num_regions, + inline_snapshots: details.inline_snapshots, + region_specs: details + .region_specs + .into_iter() + .map(RegionSpec::from) + .collect(), + maintained_indexes: details.maintained_indexes, + merged_generations: details + .merged_generations .into_iter() - .map(MemWal::try_from) + .map(MergedGeneration::try_from) .collect::>()?, }) } } +/// MemWAL Index provides access to MemWAL configuration and state. #[derive(Debug, Clone, PartialEq, Eq, DeepSizeOf)] pub struct MemWalIndex { - pub mem_wal_map: HashMap>, + pub details: MemWalIndexDetails, } impl MemWalIndex { pub fn new(details: MemWalIndexDetails) -> Self { - let mut mem_wal_map: HashMap> = HashMap::new(); - for mem_wal in details.mem_wal_list.into_iter() { - if let Some(generations) = mem_wal_map.get_mut(&mem_wal.id.region) { - generations.insert(mem_wal.id.generation, mem_wal); - } else { - mem_wal_map.insert( - mem_wal.id.region.clone(), - std::iter::once((mem_wal.id.generation, mem_wal)).collect(), - ); - } - } + Self { details } + } - Self { mem_wal_map } + pub fn merged_generation_for_region(&self, region_id: &RegionId) -> Option { + self.details + .merged_generations + .iter() + .find(|mg| &mg.region_id == region_id) + .map(|mg| mg.generation) } } #[derive(Serialize)] struct MemWalStatistics { - num_mem_wal: u64, - num_regions: u64, + num_regions: u32, + num_merged_generations: usize, + num_region_specs: usize, + num_maintained_indexes: usize, } #[async_trait] @@ -262,15 +353,17 @@ impl Index for MemWalIndex { fn as_vector_index(self: Arc) -> lance_core::Result> { Err(Error::NotSupported { - source: "FragReuseIndex is not a vector index".into(), + source: "MemWalIndex is not a vector index".into(), location: location!(), }) } fn statistics(&self) -> lance_core::Result { let stats = MemWalStatistics { - num_mem_wal: self.mem_wal_map.values().map(|m| m.len()).sum::() as u64, - num_regions: self.mem_wal_map.len() as u64, + num_regions: self.details.num_regions, + num_merged_generations: self.details.merged_generations.len(), + num_region_specs: self.details.region_specs.len(), + num_maintained_indexes: self.details.maintained_indexes.len(), }; serde_json::to_value(stats).map_err(|e| Error::Internal { message: format!("failed to serialize MemWAL index statistics: {}", e), @@ -287,6 +380,6 @@ impl Index for MemWalIndex { } async fn calculate_included_frags(&self) -> lance_core::Result { - unimplemented!() + Ok(RoaringBitmap::new()) } } diff --git a/rust/lance/src/dataset/fragment.rs b/rust/lance/src/dataset/fragment.rs index cfe003a7233..8428cf619b4 100644 --- a/rust/lance/src/dataset/fragment.rs +++ b/rust/lance/src/dataset/fragment.rs @@ -2852,7 +2852,7 @@ mod tests { updated_fragments: vec![updated_fragment1], new_fragments: vec![], fields_modified: fields_modified1, - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: Some(UpdateMode::RewriteColumns), inserted_rows_filter: None, @@ -2925,7 +2925,7 @@ mod tests { updated_fragments: vec![updated_fragment2], new_fragments: vec![], fields_modified: fields_modified2, - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: Some(UpdateMode::RewriteColumns), inserted_rows_filter: None, diff --git a/rust/lance/src/dataset/transaction.rs b/rust/lance/src/dataset/transaction.rs index e5916b7bae1..090ef465727 100644 --- a/rust/lance/src/dataset/transaction.rs +++ b/rust/lance/src/dataset/transaction.rs @@ -48,12 +48,12 @@ use super::write::merge_insert::inserted_rows::KeyExistenceFilter; use super::{blob::BLOB_VERSION_CONFIG_KEY, ManifestWriteConfig}; use crate::dataset::transaction::UpdateMode::RewriteRows; -use crate::index::mem_wal::update_mem_wal_index_in_indices_list; +use crate::index::mem_wal::update_mem_wal_index_merged_generations; use crate::utils::temporal::timestamp_to_nanos; use deepsize::DeepSizeOf; use lance_core::{datatypes::BlobVersion, datatypes::Schema, Error, Result}; use lance_file::{datatypes::Fields, version::LanceFileVersion}; -use lance_index::mem_wal::MemWal; +use lance_index::mem_wal::MergedGeneration; use lance_index::{frag_reuse::FRAG_REUSE_INDEX_NAME, is_system_index}; use lance_io::object_store::ObjectStore; use lance_table::feature_flags::{apply_feature_flags, FLAG_STABLE_ROW_IDS}; @@ -245,8 +245,8 @@ pub enum Operation { new_fragments: Vec, /// The fields that have been modified fields_modified: Vec, - /// The MemWAL (pre-image) that should be marked as merged after this transaction - mem_wal_to_merge: Option, + /// List of MemWAL region generations to mark as merged after this transaction + merged_generations: Vec, /// The fields that used to judge whether to preserve the new frag's id into /// the frag bitmap of the specified indices. fields_for_preserving_frag_bitmap: Vec, @@ -267,11 +267,11 @@ pub enum Operation { schema_metadata_updates: Option, field_metadata_updates: HashMap, }, - /// Update the state of MemWALs. + /// Update merged generations in MemWAL index. + /// This is used during merge-insert to atomically record which + /// generations have been merged to the base table. UpdateMemWalState { - added: Vec, - updated: Vec, - removed: Vec, + merged_generations: Vec, }, /// Clone a dataset. @@ -450,7 +450,7 @@ impl PartialEq for Operation { updated_fragments: a_updated, new_fragments: a_new, fields_modified: a_fields, - mem_wal_to_merge: a_mem_wal_to_merge, + merged_generations: a_merged_generations, fields_for_preserving_frag_bitmap: a_fields_for_preserving_frag_bitmap, update_mode: a_update_mode, inserted_rows_filter: a_inserted_rows_filter, @@ -460,7 +460,7 @@ impl PartialEq for Operation { updated_fragments: b_updated, new_fragments: b_new, fields_modified: b_fields, - mem_wal_to_merge: b_mem_wal_to_merge, + merged_generations: b_merged_generations, fields_for_preserving_frag_bitmap: b_fields_for_preserving_frag_bitmap, update_mode: b_update_mode, inserted_rows_filter: b_inserted_rows_filter, @@ -470,7 +470,7 @@ impl PartialEq for Operation { && compare_vec(a_updated, b_updated) && compare_vec(a_new, b_new) && compare_vec(a_fields, b_fields) - && a_mem_wal_to_merge == b_mem_wal_to_merge + && compare_vec(a_merged_generations, b_merged_generations) && compare_vec( a_fields_for_preserving_frag_bitmap, b_fields_for_preserving_frag_bitmap, @@ -1026,20 +1026,12 @@ impl PartialEq for Operation { } ( Self::UpdateMemWalState { - added: a_added, - updated: a_updated, - removed: a_removed, + merged_generations: a_merged, }, Self::UpdateMemWalState { - added: b_added, - updated: b_updated, - removed: b_removed, + merged_generations: b_merged, }, - ) => { - compare_vec(a_added, b_added) - && compare_vec(a_updated, b_updated) - && compare_vec(a_removed, b_removed) - } + ) => compare_vec(a_merged, b_merged), (Self::Clone { .. }, Self::Append { .. }) => { std::mem::discriminant(self) == std::mem::discriminant(other) } @@ -1711,7 +1703,7 @@ impl Transaction { updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge, + merged_generations, fields_for_preserving_frag_bitmap, update_mode, .. @@ -1923,17 +1915,11 @@ impl Transaction { final_fragments.extend(new_fragments); Self::retain_relevant_indices(&mut final_indices, &schema, &final_fragments); - if let Some(mem_wal_to_merge) = mem_wal_to_merge { - update_mem_wal_index_in_indices_list( - self.read_version, - current_manifest.map_or(1, |m| m.version + 1), + if !merged_generations.is_empty() { + update_mem_wal_index_merged_generations( &mut final_indices, - vec![], - vec![MemWal { - state: lance_index::mem_wal::State::Merged, - ..mem_wal_to_merge.clone() - }], - vec![mem_wal_to_merge.clone()], + current_manifest.map_or(1, |m| m.version + 1), + merged_generations.clone(), )?; } } @@ -2143,18 +2129,11 @@ impl Transaction { final_fragments.extend(unmodified_fragments); } - Operation::UpdateMemWalState { - added, - updated, - removed, - } => { - update_mem_wal_index_in_indices_list( - self.read_version, - current_manifest.map_or(1, |m| m.version + 1), + Operation::UpdateMemWalState { merged_generations } => { + update_mem_wal_index_merged_generations( &mut final_indices, - added.clone(), - updated.clone(), - removed.clone(), + current_manifest.map_or(1, |m| m.version + 1), + merged_generations.clone(), )?; } Operation::UpdateBases { .. } => { @@ -2893,7 +2872,7 @@ impl TryFrom for Transaction { updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge, + merged_generations, fields_for_preserving_frag_bitmap, update_mode, inserted_rows, @@ -2908,7 +2887,10 @@ impl TryFrom for Transaction { .map(Fragment::try_from) .collect::>>()?, fields_modified, - mem_wal_to_merge: mem_wal_to_merge.map(|m| MemWal::try_from(m).unwrap()), + merged_generations: merged_generations + .into_iter() + .map(|m| MergedGeneration::try_from(m).unwrap()) + .collect(), fields_for_preserving_frag_bitmap, update_mode: match update_mode { 0 => Some(UpdateMode::RewriteRows), @@ -3014,23 +2996,11 @@ impl TryFrom for Transaction { .collect::>>()?, }, Some(pb::transaction::Operation::UpdateMemWalState( - pb::transaction::UpdateMemWalState { - added, - updated, - removed, - }, + pb::transaction::UpdateMemWalState { merged_generations }, )) => Operation::UpdateMemWalState { - added: added + merged_generations: merged_generations .into_iter() - .map(|m| MemWal::try_from(m).unwrap()) - .collect(), - updated: updated - .into_iter() - .map(|m| MemWal::try_from(m).unwrap()) - .collect(), - removed: removed - .into_iter() - .map(|m| MemWal::try_from(m).unwrap()) + .map(|m| MergedGeneration::try_from(m).unwrap()) .collect(), }, Some(pb::transaction::Operation::UpdateBases(pb::transaction::UpdateBases { @@ -3225,7 +3195,7 @@ impl From<&Transaction> for pb::Transaction { updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge, + merged_generations, fields_for_preserving_frag_bitmap, update_mode, inserted_rows_filter, @@ -3237,7 +3207,10 @@ impl From<&Transaction> for pb::Transaction { .collect(), new_fragments: new_fragments.iter().map(pb::DataFragment::from).collect(), fields_modified: fields_modified.clone(), - mem_wal_to_merge: mem_wal_to_merge.as_ref().map(|m| m.into()), + merged_generations: merged_generations + .iter() + .map(pb::MergedGeneration::from) + .collect(), fields_for_preserving_frag_bitmap: fields_for_preserving_frag_bitmap.clone(), update_mode: update_mode .as_ref() @@ -3288,23 +3261,11 @@ impl From<&Transaction> for pb::Transaction { .collect(), }) } - Operation::UpdateMemWalState { - added, - updated, - removed, - } => { + Operation::UpdateMemWalState { merged_generations } => { pb::transaction::Operation::UpdateMemWalState(pb::transaction::UpdateMemWalState { - added: added - .iter() - .map(pb::mem_wal_index_details::MemWal::from) - .collect::>(), - updated: updated - .iter() - .map(pb::mem_wal_index_details::MemWal::from) - .collect::>(), - removed: removed + merged_generations: merged_generations .iter() - .map(pb::mem_wal_index_details::MemWal::from) + .map(pb::MergedGeneration::from) .collect::>(), }) } diff --git a/rust/lance/src/dataset/write/commit.rs b/rust/lance/src/dataset/write/commit.rs index 5070ee5e65f..9b5855efb77 100644 --- a/rust/lance/src/dataset/write/commit.rs +++ b/rust/lance/src/dataset/write/commit.rs @@ -758,7 +758,7 @@ mod tests { new_fragments: vec![], removed_fragment_ids: vec![], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, diff --git a/rust/lance/src/dataset/write/merge_insert.rs b/rust/lance/src/dataset/write/merge_insert.rs index 02af35fb519..de1d9c987cc 100644 --- a/rust/lance/src/dataset/write/merge_insert.rs +++ b/rust/lance/src/dataset/write/merge_insert.rs @@ -94,8 +94,7 @@ use lance_datafusion::{ utils::StreamingWriteSource, }; use lance_file::version::LanceFileVersion; -use lance_index::mem_wal::{MemWal, MemWalId}; -use lance_index::metrics::NoOpMetricsCollector; +use lance_index::mem_wal::MergedGeneration; use lance_index::{DatasetIndexExt, IndexCriteria}; use lance_table::format::{Fragment, IndexMetadata, RowIdMeta}; use log::info; @@ -313,9 +312,8 @@ struct MergeInsertParams { delete_not_matched_by_source: WhenNotMatchedBySource, conflict_retries: u32, retry_timeout: Duration, - // If set, this MemWAL should be marked as merged, and will be committed to replace the - // MemWAL that is currently in the index with the same ID. - mem_wal_to_merge: Option, + // List of MemWAL region generations to mark as merged when this commit succeeds. + merged_generations: Vec, // If true, skip auto cleanup during commits. This should be set to true // for high frequency writes to improve performance. This is also useful // if the writer does not have delete permissions and the clean up would @@ -426,7 +424,7 @@ impl MergeInsertBuilder { delete_not_matched_by_source: WhenNotMatchedBySource::Keep, conflict_retries: 10, retry_timeout: Duration::from_secs(30), - mem_wal_to_merge: None, + merged_generations: Vec::new(), skip_auto_cleanup: false, use_index: true, source_dedupe_behavior: SourceDedupeBehavior::Fail, @@ -513,45 +511,11 @@ impl MergeInsertBuilder { self } - /// Indicate that this merge-insert uses data in a flushed MemTable. - /// Once write is completed, the corresponding MemTable should also be marked as merged. - pub async fn mark_mem_wal_as_merged( - &mut self, - mem_wal_id: MemWalId, - expected_owner_id: &str, - ) -> Result<&mut Self> { - if let Some(mem_wal_index) = self - .dataset - .open_mem_wal_index(&NoOpMetricsCollector) - .await? - { - if let Some(generations) = mem_wal_index.mem_wal_map.get(mem_wal_id.region.as_str()) { - if let Some(mem_wal) = generations.get(&mem_wal_id.generation) { - mem_wal.check_state(lance_index::mem_wal::State::Flushed)?; - mem_wal.check_expected_owner_id(expected_owner_id)?; - self.params.mem_wal_to_merge = Some(mem_wal.clone()); - Ok(self) - } else { - Err(Error::invalid_input( - format!( - "Cannot find MemWAL generation {} for region {}", - mem_wal_id.generation, mem_wal_id.region - ), - location!(), - )) - } - } else { - Err(Error::invalid_input( - format!("Cannot find MemWAL for region {}", mem_wal_id.region), - location!(), - )) - } - } else { - Err(Error::NotSupported { - source: "MemWAL is not enabled".into(), - location: location!(), - }) - } + /// Mark MemWAL region generations as merged when this commit succeeds. + /// This updates the merged_generations in the MemWAL Index atomically with the data commit. + pub fn mark_generations_as_merged(&mut self, generations: Vec) -> &mut Self { + self.params.merged_generations.extend(generations); + self } /// Crate a merge insert job @@ -1590,7 +1554,7 @@ impl MergeInsertJob { updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge: self.params.mem_wal_to_merge, + merged_generations: self.params.merged_generations.clone(), fields_for_preserving_frag_bitmap: vec![], // in-place update do not affect preserving frag bitmap update_mode: Some(RewriteColumns), inserted_rows_filter: None, // not implemented for v1 @@ -1661,7 +1625,7 @@ impl MergeInsertJob { // On this path we only make deletions against updated_fragments and will not // modify any field values. fields_modified: vec![], - mem_wal_to_merge: self.params.mem_wal_to_merge, + merged_generations: self.params.merged_generations.clone(), fields_for_preserving_frag_bitmap: full_schema .fields .iter() diff --git a/rust/lance/src/dataset/write/merge_insert/exec/delete.rs b/rust/lance/src/dataset/write/merge_insert/exec/delete.rs index 69fc71246ea..3bc75100b9e 100644 --- a/rust/lance/src/dataset/write/merge_insert/exec/delete.rs +++ b/rust/lance/src/dataset/write/merge_insert/exec/delete.rs @@ -260,7 +260,7 @@ impl ExecutionPlan for DeleteOnlyMergeInsertExec { let merge_stats_holder = self.merge_stats.clone(); let transaction_holder = self.transaction.clone(); let affected_rows_holder = self.affected_rows.clone(); - let mem_wal_to_merge = self.params.mem_wal_to_merge.clone(); + let merged_generations = self.params.merged_generations.clone(); let result_stream = futures::stream::once(async move { let delete_row_addrs = Self::collect_deletions(input_stream, metrics).await?; @@ -275,7 +275,7 @@ impl ExecutionPlan for DeleteOnlyMergeInsertExec { updated_fragments, new_fragments: vec![], fields_modified: vec![], - mem_wal_to_merge, + merged_generations, fields_for_preserving_frag_bitmap: dataset .schema() .fields diff --git a/rust/lance/src/dataset/write/merge_insert/exec/write.rs b/rust/lance/src/dataset/write/merge_insert/exec/write.rs index 3d5527f47bd..87714e6d46d 100644 --- a/rust/lance/src/dataset/write/merge_insert/exec/write.rs +++ b/rust/lance/src/dataset/write/merge_insert/exec/write.rs @@ -856,7 +856,7 @@ impl ExecutionPlan for FullSchemaMergeInsertExec { let transaction_holder = self.transaction.clone(); let affected_rows_holder = self.affected_rows.clone(); let inserted_rows_filter_holder = self.inserted_rows_filter.clone(); - let mem_wal_to_merge = self.params.mem_wal_to_merge.clone(); + let merged_generations = self.params.merged_generations.clone(); let is_primary_key = self.is_primary_key; let updating_row_ids = { let state = merge_state.lock().unwrap(); @@ -927,7 +927,7 @@ impl ExecutionPlan for FullSchemaMergeInsertExec { updated_fragments, new_fragments, fields_modified: vec![], // No fields are modified in schema for upsert - mem_wal_to_merge, + merged_generations, fields_for_preserving_frag_bitmap: dataset .schema() .fields diff --git a/rust/lance/src/dataset/write/update.rs b/rust/lance/src/dataset/write/update.rs index 99c5fc8d6f8..47e86457f7d 100644 --- a/rust/lance/src/dataset/write/update.rs +++ b/rust/lance/src/dataset/write/update.rs @@ -388,7 +388,7 @@ impl UpdateJob { // are moved(deleted and appended). // so we do not need to handle the frag bitmap of the index about it. fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap, update_mode: Some(RewriteRows), inserted_rows_filter: None, diff --git a/rust/lance/src/index/mem_wal.rs b/rust/lance/src/index/mem_wal.rs index bb1d93b3834..55a00b41d8a 100644 --- a/rust/lance/src/index/mem_wal.rs +++ b/rust/lance/src/index/mem_wal.rs @@ -1,21 +1,28 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The Lance Authors -use crate::dataset::transaction::{Operation, Transaction}; -use crate::index::DatasetIndexInternalExt; -use crate::Dataset; +//! MemWAL Index operations. +//! +//! The MemWAL Index stores: +//! - Configuration (region_specs, maintained_indexes) +//! - Merge progress (merged_generations per region) +//! - Region state snapshots (eventually consistent) +//! +//! Writers no longer update the index on every write. Instead, they update +//! region manifests directly. This module provides functions to: +//! - Load the MemWAL index +//! - Update merged generations (called during merge-insert commits) + +use std::sync::Arc; + use lance_core::{Error, Result}; -use lance_index::mem_wal::{MemWal, MemWalId, MemWalIndex, MemWalIndexDetails, MEM_WAL_INDEX_NAME}; -use lance_index::metrics::NoOpMetricsCollector; -use lance_index::{is_system_index, DatasetIndexExt}; +use lance_index::mem_wal::{MemWalIndex, MemWalIndexDetails, MergedGeneration, MEM_WAL_INDEX_NAME}; use lance_table::format::{pb, IndexMetadata}; -use prost::Message; use snafu::location; -use std::collections::{HashMap, HashSet}; -use std::sync::Arc; use uuid::Uuid; -fn load_mem_wal_index_details(index: IndexMetadata) -> Result { +/// Load MemWalIndexDetails from an IndexMetadata. +pub(crate) fn load_mem_wal_index_details(index: IndexMetadata) -> Result { if let Some(details_any) = index.index_details.as_ref() { if !details_any.type_url.ends_with("MemWalIndexDetails") { return Err(Error::Index { @@ -38,511 +45,66 @@ fn load_mem_wal_index_details(index: IndexMetadata) -> Result Result> { Ok(Arc::new(MemWalIndex::new(load_mem_wal_index_details( index, )?))) } -/// Find the latest generation -pub async fn find_latest_mem_wal_generation( - dataset: &Dataset, - region: &str, -) -> Result> { - let Some(mem_wal_index) = dataset.open_mem_wal_index(&NoOpMetricsCollector).await? else { - return Ok(None); - }; - - let Some(generations) = mem_wal_index.mem_wal_map.get(region) else { - return Ok(None); - }; - - // MemWALs of the same region is ordered increasingly by its generation - if let Some(latest_mem_wal) = generations.values().last() { - Ok(Some(latest_mem_wal.clone())) - } else { - Err(Error::Internal { - message: format!("Encountered MemWAL index mapping that has a region with an empty list of generations: {}", region), - location: location!(), - }) +/// Update merged_generations in the MemWAL index. +/// This is called during merge-insert commits to atomically record which +/// generations have been merged to the base table. +pub(crate) fn update_mem_wal_index_merged_generations( + indices: &mut Vec, + dataset_version: u64, + new_merged_generations: Vec, +) -> Result<()> { + if new_merged_generations.is_empty() { + return Ok(()); } -} - -pub async fn create_mem_wal_generation( - dataset: &mut Dataset, - region: &str, - generation: u64, - new_mem_table_location: &str, - new_wal_location: &str, - owner_id: &str, -) -> Result { - let mem_wal = MemWal::new_empty( - MemWalId::new(region, generation), - new_mem_table_location, - new_wal_location, - owner_id, - ); - let txn = Transaction::new( - dataset.manifest.version, - Operation::UpdateMemWalState { - added: vec![mem_wal.clone()], - updated: vec![], - removed: vec![], - }, - None, - ); - dataset - .apply_commit(txn, &Default::default(), &Default::default()) - .await?; - - Ok(mem_wal) -} - -/// Advance the generation of the MemWAL for the given region. -/// If the MemWAL does not exist, create one with generation 0, and -/// `expected_owner_id` should be None in this case. -/// If the MemWAL exists, seal the one with the latest generation, -/// and open one with the same name and the next generation. -/// If the MemWALIndex structure does not exist, create it along the way. -pub async fn advance_mem_wal_generation( - dataset: &mut Dataset, - region: &str, - new_mem_table_location: &str, - new_wal_location: &str, - expected_owner_id: Option<&str>, - new_owner_id: &str, -) -> Result<()> { - let transaction = if let Some(mem_wal_index) = - dataset.open_mem_wal_index(&NoOpMetricsCollector).await? - { - let (added_mem_wal, updated_mem_wal, removed_mem_wal) = if let Some(generations) = - mem_wal_index.mem_wal_map.get(region) - { - if let Some(latest_mem_wal) = generations.values().last() { - // TODO: technically should check against all WAL locations - if latest_mem_wal.wal_location == new_wal_location { - return Err(Error::invalid_input( - format!( - "Must use a different WAL location from current: {}", - latest_mem_wal.wal_location - ), - location!(), - )); - } + let pos = indices + .iter() + .position(|idx| idx.name == MEM_WAL_INDEX_NAME); - if let Some(expected_owner_id) = expected_owner_id { - latest_mem_wal.check_expected_owner_id(expected_owner_id)?; - } else { - return Err(Error::invalid_input( - format!( - "Expected creating generation 0 for MemWAL region {}, but found current latest MemWAL: {:?}", - region, latest_mem_wal - ), - location!())); - } + let new_meta = if let Some(pos) = pos { + let current_meta = indices.remove(pos); + let mut details = load_mem_wal_index_details(current_meta)?; - if latest_mem_wal.mem_table_location == new_mem_table_location { - return Err(Error::invalid_input( - format!( - "Must use a different MemTable location from current: {}", - latest_mem_wal.mem_table_location - ), - location!(), - )); + // Update merged_generations - for each region, keep the higher generation + for new_mg in new_merged_generations { + if let Some(existing) = details + .merged_generations + .iter_mut() + .find(|mg| mg.region_id == new_mg.region_id) + { + if new_mg.generation > existing.generation { + existing.generation = new_mg.generation; } - - let (updated_mem_wal, removed_mem_wal) = - if latest_mem_wal.state == lance_index::mem_wal::State::Open { - let mut updated_mem_wal = latest_mem_wal.clone(); - updated_mem_wal.state = lance_index::mem_wal::State::Sealed; - (Some(updated_mem_wal), Some(latest_mem_wal.clone())) - } else { - (None, None) - }; - - let added_mem_wal = MemWal::new_empty( - MemWalId::new(region, latest_mem_wal.id.generation + 1), - new_mem_table_location, - new_wal_location, - new_owner_id, - ); - - Ok((added_mem_wal, updated_mem_wal, removed_mem_wal)) } else { - Err(Error::Internal { - message: format!("Encountered MemWAL index mapping that has a region with an empty list of generations: {}", region), - location: location!(), - }) + details.merged_generations.push(new_mg); } - } else { - if let Some(expected_owner_id) = expected_owner_id { - return Err(Error::invalid_input( - format!( - "Expected advancing MemWAL region {} from owner ID {}, but found no generation yet", - region, expected_owner_id - ), - location!())); - } - - Ok(( - MemWal::new_empty( - MemWalId::new(region, 0), - new_mem_table_location, - new_wal_location, - new_owner_id, - ), - None, - None, - )) - }?; - - Transaction::new( - dataset.manifest.version, - Operation::UpdateMemWalState { - added: vec![added_mem_wal], - updated: updated_mem_wal.into_iter().collect(), - removed: removed_mem_wal.into_iter().collect(), - }, - None, - ) - } else { - // this is the first time the MemWAL index is created - if let Some(expected_owner_id) = expected_owner_id { - return Err(Error::invalid_input( - format!( - "Expected advancing MemWAL region {} from owner ID {}, but found no MemWAL index", - region, expected_owner_id - ), - location!())); - } - - Transaction::new( - dataset.manifest.version, - Operation::UpdateMemWalState { - added: vec![MemWal::new_empty( - MemWalId::new(region, 0), - new_mem_table_location, - new_wal_location, - new_owner_id, - )], - updated: vec![], - removed: vec![], - }, - None, - ) - }; - - dataset - .apply_commit(transaction, &Default::default(), &Default::default()) - .await -} - -/// Add a new entry to the MemWAL -pub async fn append_mem_wal_entry( - dataset: &mut Dataset, - mem_wal_region: &str, - mem_wal_generation: u64, - entry_id: u64, - expected_owner_id: &str, -) -> Result { - let mutate = |mem_wal: &MemWal| -> Result { - // Can only append to open MemWALs - mem_wal.check_state(lance_index::mem_wal::State::Open)?; - mem_wal.check_expected_owner_id(expected_owner_id)?; - - let mut updated_mem_wal = mem_wal.clone(); - let wal_entries = updated_mem_wal.wal_entries(); - updated_mem_wal.wal_entries = - pb::U64Segment::from(wal_entries.with_new_high(entry_id)?).encode_to_vec(); - Ok(updated_mem_wal) - }; - - mutate_mem_wal(dataset, mem_wal_region, mem_wal_generation, mutate).await -} - -/// Mark the specific MemWAL as sealed. -/// Typically, it is recommended to call [`advance_mem_wal_generation`] instead. -/// But this will always keep the table in a state with an unsealed MemTable. -/// Calling this function will only seal the current latest MemWAL without opening the next one. -pub async fn mark_mem_wal_as_sealed( - dataset: &mut Dataset, - mem_wal_region: &str, - mem_wal_generation: u64, - expected_owner_id: &str, -) -> Result { - let mutate = |mem_wal: &MemWal| -> Result { - // Can only seal open MemWALs - mem_wal.check_state(lance_index::mem_wal::State::Open)?; - mem_wal.check_expected_owner_id(expected_owner_id)?; - - let mut updated_mem_wal = mem_wal.clone(); - updated_mem_wal.state = lance_index::mem_wal::State::Sealed; - Ok(updated_mem_wal) - }; - - mutate_mem_wal(dataset, mem_wal_region, mem_wal_generation, mutate).await -} - -/// Mark the specific MemWAL as flushed (data on disk but not merged) -pub async fn mark_mem_wal_as_flushed( - dataset: &mut Dataset, - mem_wal_region: &str, - mem_wal_generation: u64, - expected_owner_id: &str, -) -> Result { - let mutate = |mem_wal: &MemWal| -> Result { - // Can only flush sealed MemWALs - mem_wal.check_state(lance_index::mem_wal::State::Sealed)?; - mem_wal.check_expected_owner_id(expected_owner_id)?; - - let mut updated_mem_wal = mem_wal.clone(); - updated_mem_wal.state = lance_index::mem_wal::State::Flushed; - Ok(updated_mem_wal) - }; - - mutate_mem_wal(dataset, mem_wal_region, mem_wal_generation, mutate).await -} - -/// Mark the specific MemWAL as merged (data merged into source table) -pub async fn mark_mem_wal_as_merged( - dataset: &mut Dataset, - mem_wal_region: &str, - mem_wal_generation: u64, - expected_owner_id: &str, -) -> Result { - let mutate = |mem_wal: &MemWal| -> Result { - // Can only merge flushed MemWALs - mem_wal.check_state(lance_index::mem_wal::State::Flushed)?; - mem_wal.check_expected_owner_id(expected_owner_id)?; - - let mut updated_mem_wal = mem_wal.clone(); - updated_mem_wal.state = lance_index::mem_wal::State::Merged; - Ok(updated_mem_wal) - }; - - mutate_mem_wal(dataset, mem_wal_region, mem_wal_generation, mutate).await -} - -/// Mark the specific MemWAL as flushed, in the list of indices in the dataset. -/// This is intended to be used as a part of the Update transaction after resolving all conflicts. -pub(crate) fn update_mem_wal_index_in_indices_list( - dataset_read_version: u64, - dataset_new_version: u64, - indices: &mut Vec, - added: Vec, - updated: Vec, - removed: Vec, -) -> Result<()> { - let new_meta = if let Some(pos) = indices - .iter() - .position(|idx| idx.name == MEM_WAL_INDEX_NAME) - { - let current_meta = indices.remove(pos); - let mut details = load_mem_wal_index_details(current_meta)?; - let removed_set = removed - .iter() - .map(|rm| rm.id.clone()) - .collect::>(); - details - .mem_wal_list - .retain(|m| !removed_set.contains(&m.id)); - - for mut mem_wal in added.into_iter() { - mem_wal.last_updated_dataset_version = dataset_new_version; - details.mem_wal_list.push(mem_wal); - } - - for mut mem_wal in updated.into_iter() { - mem_wal.last_updated_dataset_version = dataset_new_version; - details.mem_wal_list.push(mem_wal); } - new_mem_wal_index_meta(dataset_read_version, details.mem_wal_list)? + new_mem_wal_index_meta(dataset_version, details)? } else { - // This should only happen with new index creation when opening the first MemWAL - if !updated.is_empty() || !removed.is_empty() { - return Err(Error::invalid_input( - "Cannot update MemWAL state without a MemWAL index", - location!(), - )); - } - - let mut added_with_version = Vec::with_capacity(added.len()); - for mut mem_wal in added.into_iter() { - mem_wal.last_updated_dataset_version = dataset_new_version; - added_with_version.push(mem_wal); - } - - new_mem_wal_index_meta(dataset_read_version, added_with_version)? + // Create new MemWAL index with just the merged generations + let details = MemWalIndexDetails { + merged_generations: new_merged_generations, + ..Default::default() + }; + new_mem_wal_index_meta(dataset_version, details)? }; indices.push(new_meta); Ok(()) } -/// Owner ID serves as a pre-check that the MemWAL has not changed owner before commit. -/// Each writer is required to keep an invariant of its owner ID for a MemWAL. -/// At any point in time, there should be only 1 writer that owns the right to mutate the MemWAL, -/// and the owner ID serves as the optimistic lock for it. -/// Specifically, before a writer starts to replay a WAL, it should call this method to claim -/// ownership and stop any additional writes to the MemWAL from other writers. -/// -/// Consider a distributed cluster which currently has node A writing to the table's MemWAL. -/// A network partition happens, node A is not dead but fails the health check. -/// Node B is newly assigned and starts the WAL replay process which modifies the owner ID. -/// In this case, if node A is doing a modification to the same MemWAL including adding an entry, -/// sealing or flushing, advancing the MemWAL generation, it will receive a commit conflict failure. -/// In theory, all the writes from node A should abort after seeing this failure without retrying. -/// However, if the writer decides to retry the operation for any reason (e.g. a bug), without the check, -/// the retry would succeed. The `expected_owner_id` in all write functions serves as the guard to -/// make sure it continues to fail until the write traffic is fully redirected to node B. -pub async fn update_mem_wal_owner( - dataset: &mut Dataset, - region: &str, - generation: u64, - new_owner_id: &str, - new_mem_table_location: Option<&str>, -) -> Result { - let mutate = |mem_wal: &MemWal| -> Result { - if new_owner_id == mem_wal.owner_id { - return Err(Error::invalid_input( - format!( - "Must use a different owner ID from current: {}", - mem_wal.owner_id - ), - location!(), - )); - } - - if let Some(new_mem_table_location) = new_mem_table_location { - if new_mem_table_location == mem_wal.mem_table_location { - return Err(Error::invalid_input( - format!( - "Must use a different MemTable location from current: {}", - mem_wal.mem_table_location - ), - location!(), - )); - } - } - - let mut updated_mem_wal = mem_wal.clone(); - updated_mem_wal.owner_id = new_owner_id.to_owned(); - if let Some(new_mem_table_location) = new_mem_table_location { - updated_mem_wal.mem_table_location = new_mem_table_location.to_owned(); - } - Ok(updated_mem_wal) - }; - - mutate_mem_wal(dataset, region, generation, mutate).await -} - -/// Trim all the MemWALs that are already merged. -pub async fn trim_mem_wal_index(dataset: &mut Dataset) -> Result<()> { - if let Some(mem_wal_index) = dataset.open_mem_wal_index(&NoOpMetricsCollector).await? { - let indices = dataset.load_indices().await?; - - // group by name to get the latest version of each index - // For delta indices, we take the highest dataset version - let mut index_versions = HashMap::new(); - for index in indices.iter() { - if !is_system_index(index) { - let current_version = index_versions.entry(index.name.clone()).or_insert(0); - *current_version = (*current_version).max(index.dataset_version); - } - } - - let min_index_dataset_version = index_versions.values().min().copied().unwrap_or(u64::MAX); - - let mut removed = Vec::new(); - for (_, generations) in mem_wal_index.mem_wal_map.iter() { - for (_, mem_wal) in generations.iter() { - if mem_wal.state == lance_index::mem_wal::State::Merged { - // all indices are caught up, can trim it - if mem_wal.last_updated_dataset_version <= min_index_dataset_version { - removed.push(mem_wal.clone()); - } - } - } - } - - let transaction = Transaction::new( - dataset.manifest.version, - Operation::UpdateMemWalState { - added: vec![], - updated: vec![], - removed, - }, - None, - ); - - dataset - .apply_commit(transaction, &Default::default(), &Default::default()) - .await - } else { - Err(Error::NotSupported { - source: "MemWAL is not enabled".into(), - location: location!(), - }) - } -} - -async fn mutate_mem_wal( - dataset: &mut Dataset, - region: &str, - generation: u64, - mutate: F, -) -> Result -where - F: Fn(&MemWal) -> Result, -{ - if let Some(mem_wal_index) = dataset.open_mem_wal_index(&NoOpMetricsCollector).await? { - if let Some(generations) = mem_wal_index.mem_wal_map.get(region) { - if let Some(mem_wal) = generations.get(&generation) { - let updated_mem_wal = mutate(mem_wal)?; - - let transaction = Transaction::new( - dataset.manifest.version, - Operation::UpdateMemWalState { - added: vec![], - updated: vec![updated_mem_wal.clone()], - removed: vec![mem_wal.clone()], - }, - None, - ); - - dataset - .apply_commit(transaction, &Default::default(), &Default::default()) - .await?; - - Ok(updated_mem_wal) - } else { - Err(Error::invalid_input( - format!( - "Cannot find MemWAL generation {} for region {}", - generation, region - ), - location!(), - )) - } - } else { - Err(Error::invalid_input( - format!("Cannot find MemWAL for region {}", region), - location!(), - )) - } - } else { - Err(Error::NotSupported { - source: "MemWAL is not enabled".into(), - location: location!(), - }) - } -} - +/// Create a new MemWAL index metadata entry. pub(crate) fn new_mem_wal_index_meta( dataset_version: u64, - new_mem_wal_list: Vec, + details: MemWalIndexDetails, ) -> Result { Ok(IndexMetadata { uuid: Uuid::new_v4(), @@ -551,9 +113,7 @@ pub(crate) fn new_mem_wal_index_meta( dataset_version, fragment_bitmap: None, index_details: Some(Arc::new(prost_types::Any::from_msg( - &pb::MemWalIndexDetails::from(&MemWalIndexDetails { - mem_wal_list: new_mem_wal_list, - }), + &pb::MemWalIndexDetails::from(&details), )?)), index_version: 0, created_at: Some(chrono::Utc::now()), @@ -564,2016 +124,77 @@ pub(crate) fn new_mem_wal_index_meta( #[cfg(test)] mod tests { use super::*; - use crate::dataset::{WriteDestination, WriteMode, WriteParams}; - use crate::index::vector::VectorIndexParams; - use crate::utils::test::{DatagenExt, FragmentCount, FragmentRowCount}; - use arrow_array::types::{Float32Type, Int32Type}; - use lance_datafusion::datagen::DatafusionDatagenExt; - use lance_datagen::{BatchCount, Dimension, RowCount}; - use lance_index::mem_wal::{MemWalId, MEM_WAL_INDEX_NAME}; - use lance_index::optimize::OptimizeOptions; - use lance_index::{DatasetIndexExt, Index}; - use lance_linalg::distance::MetricType; - - #[tokio::test] - async fn test_advance_mem_wal_generation() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Initially, there should be no MemWAL index - let indices = dataset.load_indices().await.unwrap(); - assert!(!indices.iter().any(|idx| idx.name == MEM_WAL_INDEX_NAME)); - - // First call to advance_mem_wal_generation should create the MemWAL index and generation 0 - let initial_version = dataset.manifest.version; - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Verify the MemWAL index was created - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should be created"); - - // Load and verify the MemWAL index details - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!(mem_wal_details.mem_wal_list.len(), 1); - let mem_wal_index = open_mem_wal_index(mem_wal_index_meta.clone()).unwrap(); - let stats = mem_wal_index.statistics().unwrap(); - assert_eq!( - serde_json::to_string(&stats).unwrap(), - dataset.index_statistics(MEM_WAL_INDEX_NAME).await.unwrap() - ); - - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!(mem_wal.id.region, "GLOBAL"); - assert_eq!(mem_wal.id.generation, 0); - assert_eq!(mem_wal.mem_table_location, "mem_table_location_0"); - assert_eq!(mem_wal.wal_location, "wal_location_0"); - assert_eq!(mem_wal.state, lance_index::mem_wal::State::Open); - assert_eq!(mem_wal.last_updated_dataset_version, initial_version + 1); - - // Second call to advance_mem_wal_generation should seal generation 0 and create generation 1 - let version_before_second_advance = dataset.manifest.version; - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", - ) - .await - .unwrap(); + use lance_index::mem_wal::RegionId; - // Verify the MemWAL index now has two generations - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!(mem_wal_details.mem_wal_list.len(), 2); - - // Find generation 0 (should be sealed) and generation 1 (should be unsealed) - let gen_0 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 0) - .expect("Generation 0 should exist"); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - - // Verify generation 0 is sealed - assert_eq!(gen_0.id.region, "GLOBAL"); - assert_eq!(gen_0.id.generation, 0); - assert_eq!(gen_0.mem_table_location, "mem_table_location_0"); - assert_eq!(gen_0.wal_location, "wal_location_0"); - assert_eq!(gen_0.state, lance_index::mem_wal::State::Sealed); - // Verify the sealed MemWAL has updated version - assert_eq!( - gen_0.last_updated_dataset_version, - version_before_second_advance + 1 - ); - - // Verify generation 1 is unsealed - assert_eq!(gen_1.id.region, "GLOBAL"); - assert_eq!(gen_1.id.generation, 1); - assert_eq!(gen_1.mem_table_location, "mem_table_location_1"); - assert_eq!(gen_1.wal_location, "wal_location_1"); - assert_eq!(gen_1.state, lance_index::mem_wal::State::Open); - // Verify the new MemWAL has correct version - assert_eq!( - gen_1.last_updated_dataset_version, - version_before_second_advance + 1 - ); - - // Test that using the same MemTable location should fail - let result = advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", // Same as current generation - "wal_location_2", // Different WAL location - Some("owner_1"), - "owner_2", - ) - .await; - assert!( - result.is_err(), - "Should fail when using same MemTable location as current generation" - ); - - // Test that using the same WAL location should fail - let result = advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_2", // Different MemTable location - "wal_location_1", // Same as current generation - Some("owner_1"), - "owner_2", - ) - .await; - assert!( - result.is_err(), - "Should fail when using same WAL location as current generation" - ); - } + #[test] + fn test_update_merged_generations() { + let mut indices = Vec::new(); + let region1 = RegionId::new(); + let region2 = RegionId::new(); - #[tokio::test] - async fn test_append_new_entry_to_mem_wal() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Test failure case: MemWAL is not enabled - let result = append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0").await; - assert!(result.is_err(), "Should fail when MemWAL is not enabled"); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", + // First update - creates new index + update_mem_wal_index_merged_generations( + &mut indices, + 1, + vec![MergedGeneration::new(region1.clone(), 5)], ) - .await .unwrap(); - // Test failure case: region doesn't exist - let result = append_mem_wal_entry(&mut dataset, "NONEXISTENT", 0, 123, "owner_0").await; - assert!(result.is_err(), "Should fail when region doesn't exist"); - - // Test failure case: generation doesn't exist - let result = append_mem_wal_entry(&mut dataset, "GLOBAL", 999, 123, "owner_0").await; - assert!(result.is_err(), "Should fail when generation doesn't exist"); - - // Test success case: append entry to generation 0 - let version_before_append = dataset.manifest.version; - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0") - .await - .unwrap(); - - // Verify the entry was added - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - - // Check that the WAL entries contain the entry_id - let wal_entries = mem_wal.wal_entries(); - assert!( - wal_entries.contains(123), - "WAL entries should contain entry_id 123" - ); - // Verify the MemWAL version was updated after append - assert_eq!( - mem_wal.last_updated_dataset_version, - version_before_append + 1 - ); - - // Test appending multiple entries - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 456, "owner_0") - .await - .unwrap(); - let version_after_second_append = dataset.manifest.version; - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 789, "owner_0") - .await - .unwrap(); - - // Verify all entries were added - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - - let wal_entries = mem_wal.wal_entries(); - assert!( - wal_entries.contains(123), - "WAL entries should contain entry_id 123" - ); - assert!( - wal_entries.contains(456), - "WAL entries should contain entry_id 456" - ); - assert!( - wal_entries.contains(789), - "WAL entries should contain entry_id 789" - ); - // Verify the MemWAL version was updated after the last append - assert_eq!( - mem_wal.last_updated_dataset_version, - version_after_second_append + 1 - ); - - // Test failure case: cannot append to sealed MemWAL - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - let result = append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 999, "owner_0").await; - assert!( - result.is_err(), - "Should fail when trying to append to sealed MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Sealed, but expected Open"), - "Error message should indicate the MemWAL is sealed, got: {}", error); - - // Test failure case: cannot append to flushed MemWAL - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - let result = append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 999, "owner_0").await; - assert!( - result.is_err(), - "Should fail when trying to append to flushed MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Flushed, but expected Open"), - "Error message should indicate the MemWAL is flushed, got: {}", error); - } - - #[tokio::test] - async fn test_seal_mem_wal() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Test failure case: MemWAL is not enabled - let result = mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!(result.is_err(), "Should fail when MemWAL is not enabled"); + assert_eq!(indices.len(), 1); + let details = load_mem_wal_index_details(indices[0].clone()).unwrap(); + assert_eq!(details.merged_generations.len(), 1); + assert_eq!(details.merged_generations[0].region_id, region1); + assert_eq!(details.merged_generations[0].generation, 5); - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", + // Second update - updates existing region + update_mem_wal_index_merged_generations( + &mut indices, + 2, + vec![MergedGeneration::new(region1.clone(), 10)], ) - .await .unwrap(); - // Test failure case: region doesn't exist - let result = mark_mem_wal_as_sealed(&mut dataset, "NONEXISTENT", 0, "owner_0").await; - assert!(result.is_err(), "Should fail when region doesn't exist"); - - // Test failure case: generation doesn't exist - let result = mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 999, "owner_0").await; - assert!(result.is_err(), "Should fail when generation doesn't exist"); - - // Verify generation 0 is initially unsealed - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Open, - "Generation 0 should initially be open" - ); - - // Test success case: seal generation 0 - let version_before_seal = dataset.manifest.version; - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Verify generation 0 is now sealed - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Sealed, - "Generation 0 should now be sealed" - ); - // Verify the MemWAL version was updated after sealing - assert_eq!( - mem_wal.last_updated_dataset_version, - version_before_seal + 1 - ); + assert_eq!(indices.len(), 1); + let details = load_mem_wal_index_details(indices[0].clone()).unwrap(); + assert_eq!(details.merged_generations.len(), 1); + assert_eq!(details.merged_generations[0].generation, 10); - // Create a new generation and test sealing it - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", + // Third update - adds new region + update_mem_wal_index_merged_generations( + &mut indices, + 3, + vec![MergedGeneration::new(region2, 3)], ) - .await .unwrap(); - // Verify generation 1 is unsealed - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Open, - "Generation 1 should be open" - ); - - // Seal generation 1 - let version_before_seal_gen1 = dataset.manifest.version; - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - - // Verify it's sealed - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Sealed, - "Generation 1 should be sealed" - ); - // Verify the MemWAL version was updated after sealing generation 1 - assert_eq!( - gen_1.last_updated_dataset_version, - version_before_seal_gen1 + 1 - ); - - // Test that sealing an already sealed MemWAL should fail - let result = mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 1, "owner_1").await; - assert!( - result.is_err(), - "Should fail when trying to seal an already sealed MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 1 } is in state Sealed, but expected Open"), - "Error message should indicate the MemWAL is not open, got: {}", error); + assert_eq!(indices.len(), 1); + let details = load_mem_wal_index_details(indices[0].clone()).unwrap(); + assert_eq!(details.merged_generations.len(), 2); - // Test that sealing an already flushed MemWAL should fail - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - let result = mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!( - result.is_err(), - "Should fail when trying to seal an already flushed MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Flushed, but expected Open"), - "Error message should indicate the MemWAL is already flushed, got: {}", error); - } - - #[tokio::test] - async fn test_flush_and_merge_mem_wal() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Test failure case: MemWAL is not enabled - let result = mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!(result.is_err(), "Should fail when MemWAL is not enabled"); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", + // Fourth update - lower generation should not update + update_mem_wal_index_merged_generations( + &mut indices, + 4, + vec![MergedGeneration::new(region1.clone(), 8)], // lower than 10 ) - .await .unwrap(); - // Test failure case: region doesn't exist - let result = mark_mem_wal_as_flushed(&mut dataset, "NONEXISTENT", 0, "owner_0").await; - assert!(result.is_err(), "Should fail when region doesn't exist"); - - // Test failure case: generation doesn't exist - let result = mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 999, "owner_0").await; - assert!(result.is_err(), "Should fail when generation doesn't exist"); - - // Verify generation 0 is initially unflushed - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Open, - "Generation 0 should initially be open" - ); - - // Test failure case: cannot flush unsealed MemWAL - let result = mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!( - result.is_err(), - "Should fail when trying to flush unsealed MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Open, but expected Sealed"), - "Error message should indicate the MemWAL is not sealed, got: {}", error); - - // Seal generation 0 first - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Test success case: mark sealed generation 0 as flushed - let version_before_flush = dataset.manifest.version; - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Verify generation 0 is now flushed - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Flushed, - "Generation 0 should now be flushed" - ); - // Verify the MemWAL version was updated after flushing - assert_eq!( - mem_wal.last_updated_dataset_version, - version_before_flush + 1 - ); - - // Test failure case: cannot flush already flushed MemWAL - let result = mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!( - result.is_err(), - "Should fail when trying to flush already flushed MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Flushed, but expected Sealed"), - "Error message should indicate the MemWAL is already flushed, got: {}", error); - - // Test success case: mark flushed generation 0 as merged - let version_before_merge = dataset.manifest.version; - mark_mem_wal_as_merged(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Verify generation 0 is now merged - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices + let details = load_mem_wal_index_details(indices[0].clone()).unwrap(); + let r1_mg = details + .merged_generations .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Merged, - "Generation 0 should now be merged" - ); - // Verify the MemWAL version was updated after merging - assert_eq!( - mem_wal.last_updated_dataset_version, - version_before_merge + 1 - ); - - // Test failure case: cannot merge already merged MemWAL - let result = mark_mem_wal_as_merged(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!( - result.is_err(), - "Should fail when trying to merge already merged MemWAL" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Merged, but expected Flushed"), - "Error message should indicate the MemWAL is already merged, got: {}", error); - } - - #[tokio::test] - async fn test_update_mem_wal_owner() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await + .find(|mg| mg.region_id == region1) .unwrap(); - - // Test failure case: MemWAL is not enabled - let result = update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 0, - "new_owner_id", - Some("new_mem_table_location"), - ) - .await; - assert!(result.is_err(), "Should fail when MemWAL is not enabled"); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Test failure case: region doesn't exist - let result = update_mem_wal_owner( - &mut dataset, - "NONEXISTENT", - 0, - "new_owner_id", - Some("new_mem_table_location"), - ) - .await; - assert!(result.is_err(), "Should fail when region doesn't exist"); - - // Test failure case: generation doesn't exist - let result = update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 999, - "new_owner_id", - Some("new_mem_table_location"), - ) - .await; - assert!(result.is_err(), "Should fail when generation doesn't exist"); - - // Test failure case: cannot replay with same MemTable location - let result = update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 0, - "new_owner_id", - Some("mem_table_location_0"), - ) - .await; - assert!( - result.is_err(), - "Should fail when using same MemTable location" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!( - error.to_string().contains( - "Must use a different MemTable location from current: mem_table_location_0" - ), - "Error message should indicate the MemTable location must be different, got: {}", - error - ); - - // Test success case: start replay with different MemTable location - let version_before_owner_update = dataset.manifest.version; - update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 0, - "new_owner_id", - Some("new_mem_table_location"), - ) - .await - .unwrap(); - - // Verify the MemTable location was updated - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.mem_table_location, "new_mem_table_location", - "MemTable location should be updated" - ); - // Verify the MemWAL version was updated after owner change - assert_eq!( - mem_wal.last_updated_dataset_version, - version_before_owner_update + 1 - ); - - // Test success case: can replay generation 1 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "new_mem_table_location_1", - "wal_location_1", - Some("new_owner_id"), - "owner_1", - ) - .await - .unwrap(); - - let version_before_gen1_owner_update = dataset.manifest.version; - update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 1, - "owner_1_new", - Some("mem_table_location_1"), - ) - .await - .unwrap(); - - // Verify the MemTable location was updated for generation 1 - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - - assert_eq!( - gen_1.mem_table_location, "mem_table_location_1", - "Generation 1 MemTable location should be updated" - ); - // Verify the MemWAL version was updated after generation 1 owner change - assert_eq!( - gen_1.last_updated_dataset_version, - version_before_gen1_owner_update + 1 - ); + assert_eq!(r1_mg.generation, 10); // Should still be 10 } - #[tokio::test] - async fn test_trim_mem_wal_index_with_reindex() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Test failure case: MemWAL is not enabled - let result = trim_mem_wal_index(&mut dataset).await; - assert!(result.is_err(), "Should fail when MemWAL is not enabled"); - - // Create MemWAL index and multiple generations - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", - ) - .await - .unwrap(); - - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_2", - "wal_location_2", - Some("owner_1"), - "owner_2", - ) - .await - .unwrap(); - - // Verify we have 3 generations initially - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!( - mem_wal_details.mem_wal_list.len(), - 3, - "Should have 3 generations initially" - ); - - // flush and merge generation 0 - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - mark_mem_wal_as_merged(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Test case 1: No indices exist (besides MemWAL index itself) - // Should trim merged MemWAL since no other indices exist - trim_mem_wal_index(&mut dataset).await.unwrap(); - - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!( - mem_wal_details.mem_wal_list.len(), - 2, - "Should have 2 generations after trimming (no other indices)" - ); - - // Verify generation 0 was removed - let gen_0_exists = mem_wal_details - .mem_wal_list - .iter() - .any(|m| m.id.generation == 0); - assert!(!gen_0_exists, "Generation 0 should be removed"); - - // Test case 2: Create index after MemWAL flush, then flush another generation - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_3", - "wal_location_3", - Some("owner_2"), - "owner_3", - ) - .await - .unwrap(); - - // Seal, flush and merge generation 1 - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - mark_mem_wal_as_merged(&mut dataset, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - - // Create an index after the MemWAL was merged - dataset - .create_index( - &["i"], - lance_index::IndexType::Scalar, - Some("scalar_after".into()), - &lance_index::scalar::ScalarIndexParams::default(), - false, - ) - .await - .unwrap(); - - // Should trim the merged MemWAL since the index was created after it - trim_mem_wal_index(&mut dataset).await.unwrap(); - - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!( - mem_wal_details.mem_wal_list.len(), - 2, - "Should have 2 generations after trimming (index created after MemWAL)" - ); - - // Verify generation 1 was removed - let gen_1_exists = mem_wal_details - .mem_wal_list - .iter() - .any(|m| m.id.generation == 1); - assert!(!gen_1_exists, "Generation 1 should be removed"); - - // Test case 3: Create index before MemWAL flush - // Create another index before flushing the next generation - dataset - .create_index( - &["i"], - lance_index::IndexType::Scalar, - Some("scalar_before".into()), - &lance_index::scalar::ScalarIndexParams::default(), - false, - ) - .await - .unwrap(); - - // Now flush and merge generation 2 (created before the vector index) - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 2, "owner_2") - .await - .unwrap(); - mark_mem_wal_as_merged(&mut dataset, "GLOBAL", 2, "owner_2") - .await - .unwrap(); - - // Should NOT trim generation 2 since the index was created before it - trim_mem_wal_index(&mut dataset).await.unwrap(); - - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!( - mem_wal_details.mem_wal_list.len(), - 2, - "Should still have 2 generations (index created before MemWAL, so cannot trim)" - ); - - // Verify generation 2 still exists - let gen_2_exists = mem_wal_details - .mem_wal_list - .iter() - .any(|m| m.id.generation == 2); - assert!(gen_2_exists, "Generation 2 should still exist"); - } - - #[tokio::test] - async fn test_trim_mem_wal_index_with_delta_index() { - // Create a dataset with enough data for vector index clustering - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(5), FragmentRowCount::from(100)) - .await - .unwrap(); - - // Create initial vector index - dataset - .create_index( - &["vec"], - lance_index::IndexType::Vector, - Some("vector_index".into()), - &VectorIndexParams::ivf_pq(8, 8, 8, MetricType::Cosine, 50), - false, - ) - .await - .unwrap(); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Seal the MemWAL - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Append new data files to the dataset (without rewriting existing files) - let new_data = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col( - "i", - lance_datagen::array::step_custom::(500, 1000), - ) - .into_reader_rows(RowCount::from(100), BatchCount::from(5)); - - // Append some new data - let write_params = WriteParams { - mode: WriteMode::Append, - ..WriteParams::default() - }; - dataset = Dataset::write( - new_data, - WriteDestination::Dataset(Arc::new(dataset)), - Some(write_params), - ) - .await - .unwrap(); - - // Flush and merge the MemWAL separately - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - mark_mem_wal_as_merged(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Verify the MemWAL is now merged - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!(mem_wal_details.mem_wal_list.len(), 1); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!(mem_wal.state, lance_index::mem_wal::State::Merged); - - // Now use optimize_indices to create delta index (this is how delta indices are actually created) - dataset - .optimize_indices(&OptimizeOptions::append()) - .await - .unwrap(); - - // Verify we now have multiple indices with the same name (delta indices) - let indices = dataset.load_indices().await.unwrap(); - let vector_indices: Vec<_> = indices - .iter() - .filter(|idx| idx.name == "vector_index") - .collect(); - assert_eq!(vector_indices.len(), 2); - // If we have delta indices, verify they work correctly - // Verify the delta index has a higher dataset version than the original - let mut versions: Vec<_> = vector_indices - .iter() - .map(|idx| idx.dataset_version) - .collect(); - versions.sort(); - assert!( - versions[versions.len() - 1] > versions[0], - "Latest delta index should have higher dataset version than original" - ); - - // Now the MemWAL should be trimmed because the delta index was created after the merge - // Our logic should take the maximum dataset version for each index name - trim_mem_wal_index(&mut dataset).await.unwrap(); - - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - assert_eq!( - mem_wal_details.mem_wal_list.len(), - 0, - "MemWAL should be trimmed because delta index was created after flush" - ); - } - - #[tokio::test] - async fn test_flush_mem_wal_through_merge_insert() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Add some entries to the MemWAL - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 456, "owner_0") - .await - .unwrap(); - - // Seal and flush the MemWAL (required before merging) - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Verify the MemWAL is flushed but not merged - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Flushed, - "MemWAL should be flushed but not merged yet" - ); - - // Create new data for merge insert - let new_data = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step_custom::(1000, 1)) - .into_df_stream(RowCount::from(100), BatchCount::from(10)); - - // Create merge insert job that will merge the MemWAL - let merge_insert_job = crate::dataset::MergeInsertBuilder::try_new( - Arc::new(dataset.clone()), - vec!["i".to_string()], - ) - .unwrap() - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll) - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 0), "owner_0") - .await - .unwrap() - .try_build() - .unwrap(); - - // Execute the merge insert - let (updated_dataset, _stats) = merge_insert_job.execute_reader(new_data).await.unwrap(); - - // Verify that the MemWAL is now marked as merged - let indices = updated_dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.state, - lance_index::mem_wal::State::Merged, - "MemWAL should now be merged" - ); - - // Test that trying to mark a non-existent MemWAL as merged fails - let mut merge_insert_job = crate::dataset::MergeInsertBuilder::try_new( - updated_dataset.clone(), - vec!["i".to_string()], - ) - .unwrap(); - merge_insert_job - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll); - - let result = merge_insert_job - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 999), "owner_0") - .await; - assert!( - result.is_err(), - "Should fail when trying to mark non-existent MemWAL as merged" - ); - - // Test that trying to mark a MemWAL from non-existent region fails - let result = merge_insert_job - .mark_mem_wal_as_merged(MemWalId::new("NONEXISTENT", 0), "owner_0") - .await; - assert!( - result.is_err(), - "Should fail when trying to mark MemWAL from non-existent region as merged" - ); - - // Test that trying to mark an unflushed MemWAL as merged fails - // First, create a new generation that is unsealed - let mut dataset_for_advance = updated_dataset.as_ref().clone(); - advance_mem_wal_generation( - &mut dataset_for_advance, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", - ) - .await - .unwrap(); - - // Update our reference to use the new dataset - let updated_dataset = Arc::new(dataset_for_advance); - - // Verify that generation 1 exists and is unsealed - let indices = updated_dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Open, - "Generation 1 should be open" - ); - - let mut merge_insert_job_unsealed = crate::dataset::MergeInsertBuilder::try_new( - updated_dataset.clone(), - vec!["i".to_string()], - ) - .unwrap(); - merge_insert_job_unsealed - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll); - - let result = merge_insert_job_unsealed - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 1), "owner_1") - .await; - assert!( - result.is_err(), - "Should fail when trying to mark unsealed MemWAL as merged" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 1 } is in state Open, but expected Flushed"), - "Error message should indicate the MemWAL is not flushed, got: {}", error); - - // Test that trying to mark an already merged MemWAL as merged fails - let mut merge_insert_job_merged = crate::dataset::MergeInsertBuilder::try_new( - updated_dataset.clone(), - vec!["i".to_string()], - ) - .unwrap(); - merge_insert_job_merged - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll); - - let result = merge_insert_job_merged - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 0), "owner_1") - .await; - assert!( - result.is_err(), - "Should fail when trying to mark already merged MemWAL as merged" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } is in state Merged, but expected Flushed"), - "Error message should indicate the MemWAL is already merged, got: {}", error); - - // Test that merge insert with mark_mem_wal_as_merged works correctly when MemWAL is in proper state - // Seal and flush generation 1 and then test the merge insert - let mut dataset_for_seal = updated_dataset.as_ref().clone(); - mark_mem_wal_as_sealed(&mut dataset_for_seal, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - mark_mem_wal_as_flushed(&mut dataset_for_seal, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - let updated_dataset = Arc::new(dataset_for_seal); - - // Verify generation 1 is now flushed but not merged - let indices = updated_dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Flushed, - "Generation 1 should be flushed" - ); - - // Create merge insert that merges generation 1 - let new_data_valid = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step_custom::(4000, 1)) - .into_df_stream(RowCount::from(75), BatchCount::from(5)); - - let merge_insert_job_valid = crate::dataset::MergeInsertBuilder::try_new( - updated_dataset.clone(), - vec!["i".to_string()], - ) - .unwrap() - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll) - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 1), "owner_1") - .await - .unwrap() - .try_build() - .unwrap(); - - // Execute the merge insert - this should succeed - let (final_dataset, _stats) = merge_insert_job_valid - .execute_reader(new_data_valid) - .await - .unwrap(); - - // Verify that the MemWAL is now marked as merged - let indices = final_dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should still exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should still exist"); - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Merged, - "Generation 1 should now be merged" - ); - } - - #[tokio::test] - async fn test_replay_mem_wal_with_split_brain_writer() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Add some entries to the MemWAL - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 456, "owner_0") - .await - .unwrap(); - - // Simulate a network partition scenario where another node starts replay - // This changes the MemTable location from "mem_table_location_0" to "new_mem_table_location" - update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 0, - "new_owner_id", - Some("new_mem_table_location"), - ) - .await - .unwrap(); - - // Verify the MemTable location was updated - let indices = dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - let mem_wal = &mem_wal_details.mem_wal_list[0]; - assert_eq!( - mem_wal.mem_table_location, "new_mem_table_location", - "MemTable location should be updated after replay" - ); - - // Now simulate a split-brain scenario where the original writer (node A) - // tries to perform operations using the old MemTable location - - // Test 1: append_mem_wal_entry with old owner_id should fail - let result = append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 789, "owner_0").await; - assert!( - result.is_err(), - "Should fail when using old owner_id for append" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } has owner_id: new_owner_id, but expected owner_0"), - "Error message should indicate owner_id mismatch, got: {}", error); - - // Test 2: mark_mem_wal_as_sealed with old owner_id should fail - let result = mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!( - result.is_err(), - "Should fail when using old owner_id for seal" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } has owner_id: new_owner_id, but expected owner_0"), - "Error message should indicate owner_id mismatch, got: {}", error); - - // Test 3: mark_mem_wal_as_flushed with old owner_id should fail - // First seal the MemWAL using the correct owner_id - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "new_owner_id") - .await - .unwrap(); - - let result = mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0").await; - assert!( - result.is_err(), - "Should fail when using old owner_id for flush" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } has owner_id: new_owner_id, but expected owner_0"), - "Error message should indicate owner_id mismatch, got: {}", error); - - // Test 4: advance_mem_wal_generation with old owner_id should fail - let result = advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), // Using old owner_id - "owner_1", - ) - .await; - assert!( - result.is_err(), - "Should fail when using old owner_id for advance generation" - ); - - // Check the specific error message - let error = result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } has owner_id: new_owner_id, but expected owner_0"), - "Error message should indicate owner_id mismatch, got: {}", error); - - // Test 5: merge_insert with mark_mem_wal_as_merged using old owner_id should fail - // First flush the MemWAL using the correct owner_id so it's ready for merging - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "new_owner_id") - .await - .unwrap(); - - // Try to create merge insert job that merges using the old owner_id - let mut merge_insert_job_builder = crate::dataset::MergeInsertBuilder::try_new( - Arc::new(dataset.clone()), - vec!["i".to_string()], - ) - .unwrap(); - - let build_result = merge_insert_job_builder - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll) - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 0), "owner_0") // Using old owner_id - .await; - - assert!( - build_result.is_err(), - "Should fail when using old owner_id for merge insert merge" - ); - - // Check the specific error message - let error = build_result.unwrap_err(); - assert!(error.to_string().contains("MemWAL MemWalId { region: \"GLOBAL\", generation: 0 } has owner_id: new_owner_id, but expected owner_0"), - "Error message should indicate owner_id mismatch for merge insert, got: {}", error); - } - - #[tokio::test] - async fn test_concurrent_mem_wal_replay_and_modifications() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Add some entries to the MemWAL - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 456, "owner_0") - .await - .unwrap(); - - // Clone the dataset multiple times to simulate concurrent operations - let mut dataset_clone_append = dataset.clone(); - let mut dataset_clone_seal = dataset.clone(); - let mut dataset_clone_flush = dataset.clone(); - let mut dataset_clone_advance = dataset.clone(); - - // Start replay operation on the original dataset - let replay_result = update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 0, - "new_owner_id", - Some("new_mem_table_location"), - ) - .await; - - // Test all concurrent operations against the replay - let append_result = - append_mem_wal_entry(&mut dataset_clone_append, "GLOBAL", 0, 789, "owner_0").await; - let seal_result = - mark_mem_wal_as_sealed(&mut dataset_clone_seal, "GLOBAL", 0, "owner_0").await; - let flush_result = - mark_mem_wal_as_flushed(&mut dataset_clone_flush, "GLOBAL", 0, "owner_0").await; - let advance_result = advance_mem_wal_generation( - &mut dataset_clone_advance, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", - ) - .await; - - // Test merge_insert merge operation separately (requires flushed MemWAL) - // Advance to a new generation and seal it for merge insert test - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("new_owner_id"), - "owner_1", - ) - .await - .unwrap(); - - // Seal and flush the new generation - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 1, "owner_1") - .await - .unwrap(); - - let dataset_clone_merge_insert = dataset.clone(); - - // Start replay operation on the new generation - let replay_result_merge_insert = update_mem_wal_owner( - &mut dataset, - "GLOBAL", - 1, - "new_owner_id", - Some("new_mem_table_location_merge"), - ) - .await; - - // Test merge_insert merge operation - let mut merge_insert_job_builder = crate::dataset::MergeInsertBuilder::try_new( - Arc::new(dataset_clone_merge_insert), - vec!["i".to_string()], - ) - .unwrap(); - - let merge_insert_job = merge_insert_job_builder - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll) - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 1), "owner_1") - .await - .unwrap() - .try_build() - .unwrap(); - - // Create some data for the merge insert - let new_data = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step_custom::(2000, 1)) - .into_df_stream(RowCount::from(50), BatchCount::from(5)); - - // Execute the merge insert (this should fail due to version conflict) - let merge_insert_result = merge_insert_job.execute_reader(new_data).await; - - // Replay should succeed and all other operations should fail due to version conflict - assert!(replay_result.is_ok(), "Replay operation should succeed"); - assert!( - append_result.is_err(), - "Append operation should fail due to version conflict" - ); - assert!( - seal_result.is_err(), - "Seal operation should fail due to version conflict" - ); - assert!( - flush_result.is_err(), - "Flush operation should fail due to version conflict" - ); - assert!( - advance_result.is_err(), - "Advance generation operation should fail due to version conflict" - ); - - // For merge insert test, replay should succeed and merge insert should fail - assert!( - replay_result_merge_insert.is_ok(), - "Replay operation for merge insert test should succeed" - ); - assert!( - merge_insert_result.is_err(), - "Merge insert flush operation should fail due to version conflict" - ); - } - - #[tokio::test] - async fn test_concurrent_mem_wal_append_and_merge_insert_flush() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Add some entries to generation 0 - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 456, "owner_0") - .await - .unwrap(); - - // Seal and flush generation 0 (required for merge insert merge) - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Advance to generation 1 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", - ) - .await - .unwrap(); - - // Add some entries to generation 1 - append_mem_wal_entry(&mut dataset, "GLOBAL", 1, 789, "owner_1") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 1, 790, "owner_1") - .await - .unwrap(); - - // Clone the dataset to simulate concurrent operations - let mut dataset_clone_append = dataset.clone(); - let dataset_clone_merge_insert = dataset.clone(); - - // Test concurrent operations: append to generation 1 and merge_insert merge generation 0 - let append_result = - append_mem_wal_entry(&mut dataset_clone_append, "GLOBAL", 1, 791, "owner_1").await; - - // Create merge insert job that merges generation 0 - let mut merge_insert_job_builder = crate::dataset::MergeInsertBuilder::try_new( - Arc::new(dataset_clone_merge_insert), - vec!["i".to_string()], - ) - .unwrap(); - - let merge_insert_job = merge_insert_job_builder - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll) - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 0), "owner_0") - .await - .unwrap() - .try_build() - .unwrap(); - - // Create some data for the merge insert - let new_data = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step_custom::(2000, 1)) - .into_df_stream(RowCount::from(50), BatchCount::from(5)); - - // Execute the merge insert - let merge_insert_result = merge_insert_job.execute_reader(new_data).await; - - // Both operations should succeed since they operate on different generations - assert!( - append_result.is_ok(), - "Append to generation 1 should succeed" - ); - assert!( - merge_insert_result.is_ok(), - "Merge insert flush of generation 0 should succeed" - ); - - // Get the updated dataset from the merge insert result - let (updated_dataset, _stats) = merge_insert_result.unwrap(); - - // Verify the final state using the updated dataset - let indices = updated_dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - - // Find generation 0 and generation 1 - let gen_0 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 0) - .expect("Generation 0 should exist"); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - - // Verify generation 0 is merged (after merge_insert) - assert_eq!( - gen_0.state, - lance_index::mem_wal::State::Merged, - "Generation 0 should be merged" - ); - - // Verify generation 1 is unsealed and unflushed - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Open, - "Generation 1 should be open" - ); - - // Verify that generation 1 has the new entry - let wal_entries = gen_1.wal_entries(); - assert!( - wal_entries.contains(791), - "Generation 1 should contain the new entry 791" - ); - } - - #[tokio::test] - async fn test_concurrent_mem_wal_advance_and_merge_insert_flush() { - // Create a dataset with some data - let mut dataset = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step::()) - .into_ram_dataset(FragmentCount::from(2), FragmentRowCount::from(1000)) - .await - .unwrap(); - - // Create MemWAL index and generation 0 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_0", - "wal_location_0", - None, - "owner_0", - ) - .await - .unwrap(); - - // Add some entries to generation 0 - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 123, "owner_0") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 0, 456, "owner_0") - .await - .unwrap(); - - // Seal and flush generation 0 (required for merge insert merge) - mark_mem_wal_as_sealed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - mark_mem_wal_as_flushed(&mut dataset, "GLOBAL", 0, "owner_0") - .await - .unwrap(); - - // Advance to generation 1 - advance_mem_wal_generation( - &mut dataset, - "GLOBAL", - "mem_table_location_1", - "wal_location_1", - Some("owner_0"), - "owner_1", - ) - .await - .unwrap(); - - // Add some entries to generation 1 - append_mem_wal_entry(&mut dataset, "GLOBAL", 1, 789, "owner_1") - .await - .unwrap(); - append_mem_wal_entry(&mut dataset, "GLOBAL", 1, 790, "owner_1") - .await - .unwrap(); - - // Clone the dataset to simulate concurrent operations - let mut dataset_clone_advance = dataset.clone(); - let dataset_clone_merge_insert = dataset.clone(); - - // Test concurrent operations: advance to generation 2 and merge_insert flush generation 0 - let advance_result = advance_mem_wal_generation( - &mut dataset_clone_advance, - "GLOBAL", - "mem_table_location_2", - "wal_location_2", - Some("owner_1"), - "owner_2", - ) - .await; - - // Create merge insert job that merges generation 0 - let mut merge_insert_job_builder = crate::dataset::MergeInsertBuilder::try_new( - Arc::new(dataset_clone_merge_insert), - vec!["i".to_string()], - ) - .unwrap(); - - let merge_insert_job = merge_insert_job_builder - .when_matched(crate::dataset::WhenMatched::UpdateAll) - .when_not_matched(crate::dataset::WhenNotMatched::InsertAll) - .mark_mem_wal_as_merged(MemWalId::new("GLOBAL", 0), "owner_0") - .await - .unwrap() - .try_build() - .unwrap(); - - // Create some data for the merge insert - let new_data = lance_datagen::gen_batch() - .col( - "vec", - lance_datagen::array::rand_vec::(Dimension::from(128)), - ) - .col("i", lance_datagen::array::step_custom::(2000, 1)) - .into_df_stream(RowCount::from(50), BatchCount::from(5)); - - // Execute the merge insert - let merge_insert_result = merge_insert_job.execute_reader(new_data).await; - - // Both operations should succeed since they operate on different generations - assert!( - advance_result.is_ok(), - "Advance to generation 2 should succeed" - ); - assert!( - merge_insert_result.is_ok(), - "Merge insert flush of generation 0 should succeed" - ); - - // Get the updated dataset from the merge insert result - let (updated_dataset, _stats) = merge_insert_result.unwrap(); - - // Verify the final state using the updated dataset - let indices = updated_dataset.load_indices().await.unwrap(); - let mem_wal_index_meta = indices - .iter() - .find(|idx| idx.name == MEM_WAL_INDEX_NAME) - .expect("MemWAL index should exist"); - - let mem_wal_details = load_mem_wal_index_details(mem_wal_index_meta.clone()).unwrap(); - - // Find all generations - let gen_0 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 0) - .expect("Generation 0 should exist"); - let gen_1 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 1) - .expect("Generation 1 should exist"); - let gen_2 = mem_wal_details - .mem_wal_list - .iter() - .find(|m| m.id.generation == 2) - .expect("Generation 2 should exist"); - - // Verify generation 0 is merged (after merge_insert) - assert_eq!( - gen_0.state, - lance_index::mem_wal::State::Merged, - "Generation 0 should be merged" - ); - - // Verify generation 1 is sealed (due to advance) but unflushed - assert_eq!( - gen_1.state, - lance_index::mem_wal::State::Sealed, - "Generation 1 should be sealed due to advance" - ); + #[test] + fn test_empty_merged_generations_noop() { + let mut indices = Vec::new(); - // Verify generation 2 is unsealed and unflushed - assert_eq!( - gen_2.state, - lance_index::mem_wal::State::Open, - "Generation 2 should be open" - ); + // Empty update should be a no-op + update_mem_wal_index_merged_generations(&mut indices, 1, vec![]).unwrap(); - // Verify that generation 1 has the expected entries - let wal_entries = gen_1.wal_entries(); - assert!( - wal_entries.contains(789), - "Generation 1 should contain entry 789" - ); - assert!( - wal_entries.contains(790), - "Generation 1 should contain entry 790" - ); + assert!(indices.is_empty()); } } diff --git a/rust/lance/src/io/commit/conflict_resolver.rs b/rust/lance/src/io/commit/conflict_resolver.rs index 0fd52ab2a8b..c09c5dbcd90 100644 --- a/rust/lance/src/io/commit/conflict_resolver.rs +++ b/rust/lance/src/io/commit/conflict_resolver.rs @@ -13,7 +13,7 @@ use lance_core::{ Error, Result, }; use lance_index::frag_reuse::FRAG_REUSE_INDEX_NAME; -use lance_index::mem_wal::MemWal; +use lance_index::mem_wal::MergedGeneration; use lance_table::format::IndexMetadata; use lance_table::{format::Fragment, io::deletion::write_deletion_file}; use snafu::{location, Location}; @@ -343,8 +343,8 @@ impl<'a> TransactionRebase<'a> { other_version: u64, ) -> Result<()> { if let Operation::Update { - mem_wal_to_merge, inserted_rows_filter: self_inserted_rows_filter, + merged_generations: self_merged_generations, .. } = &self.transaction.operation { @@ -515,21 +515,14 @@ impl<'a> TransactionRebase<'a> { Operation::Overwrite { .. } | Operation::Restore { .. } => Err( self.incompatible_conflict_err(other_transaction, other_version, location!()) ), - Operation::UpdateMemWalState { added, updated, .. } => { - self.check_update_mem_wal_state_not_modify_same_mem_wal( - added, - mem_wal_to_merge.as_slice(), - other_transaction, - other_version, - )?; - self.check_update_mem_wal_state_not_modify_same_mem_wal( - updated, - mem_wal_to_merge.as_slice(), - other_transaction, - other_version, - )?; - Ok(()) - } + Operation::UpdateMemWalState { + merged_generations: other_merged_generations, + } => self.check_merged_generations_conflict( + other_merged_generations, + self_merged_generations, + other_transaction, + other_version, + ), } } else { Err(wrong_operation_err(&self.transaction.operation)) @@ -1205,68 +1198,33 @@ impl<'a> TransactionRebase<'a> { other_version: u64, ) -> Result<()> { if let Operation::UpdateMemWalState { - added, - updated, - removed: _, - .. + merged_generations: self_merged_generations, } = &self.transaction.operation { match &other_transaction.operation { Operation::UpdateMemWalState { - added: committed_added, - updated: committed_updated, - removed: _, + merged_generations: other_merged_generations, } => { - // 1. if the current or last committed job is trimming flushed MemWALs, - // it is compatible with any other UpdateMemWalState commits - if (committed_added.is_empty() && committed_updated.is_empty()) - || (added.is_empty() && updated.is_empty()) - { - return Ok(()); - } - - // 2. MemWALs of different regions can be changed at the same time - self.check_update_mem_wal_state_not_modify_same_mem_wal( - committed_added, - added, - other_transaction, - other_version, - )?; - self.check_update_mem_wal_state_not_modify_same_mem_wal( - committed_added, - updated, + // Two UpdateMemWalState transactions conflict if they're updating + // the same region's merged_generation + self.check_merged_generations_conflict( + other_merged_generations, + self_merged_generations, other_transaction, other_version, - )?; - self.check_update_mem_wal_state_not_modify_same_mem_wal( - committed_updated, - added, - other_transaction, - other_version, - )?; - self.check_update_mem_wal_state_not_modify_same_mem_wal( - committed_updated, - updated, - other_transaction, - other_version, - )?; - Ok(()) + ) } Operation::Update { - mem_wal_to_merge, .. + merged_generations: other_merged_generations, + .. } => { - if mem_wal_to_merge.is_some() { - // TODO: This check could be more detailed, there is an assumption that - // once a MemWAL is sealed, there is no other operation that could change - // the state back to open, and at that point it can always be flushed. - Ok(()) - } else { - Err(self.incompatible_conflict_err( - other_transaction, - other_version, - location!(), - )) - } + // Update transactions with merged_generations can conflict + self.check_merged_generations_conflict( + other_merged_generations, + self_merged_generations, + other_transaction, + other_version, + ) } Operation::UpdateConfig { .. } | Operation::Rewrite { .. } @@ -1343,50 +1301,26 @@ impl<'a> TransactionRebase<'a> { } } - fn check_update_mem_wal_state_not_modify_same_mem_wal( + fn check_merged_generations_conflict( &self, - committed: &[MemWal], - to_commit: &[MemWal], + committed: &[MergedGeneration], + to_commit: &[MergedGeneration], other_transaction: &Transaction, other_version: u64, ) -> Result<()> { - if !committed.is_empty() { - if to_commit.is_empty() { - return Ok(()); - } - - if committed.len() > 1 { - return Err(Error::Internal { - message: format!( - "Committing multiple MemWALs is not supported, but found committed: {:?}", - committed - ), - location: location!(), - }); - } - - if to_commit.len() > 1 { - return Err(Error::NotSupported { - source: format!( - "Committing multiple MemWALs is not supported, but found attempt to commit: {:?}", - to_commit - ) - .into(), - location: location!(), - }); - } - - let committed_mem_wal = committed.first().unwrap(); - let to_commit_mem_wal = to_commit.first().unwrap(); - if committed_mem_wal.id == to_commit_mem_wal.id { - return Err(self.incompatible_conflict_err( - other_transaction, - other_version, - location!(), - )); + // Check if any region has conflicting updates + for committed_mg in committed { + for to_commit_mg in to_commit { + if committed_mg.region_id == to_commit_mg.region_id { + // Same region being updated - this is a conflict + return Err(self.retryable_conflict_err( + other_transaction, + other_version, + location!(), + )); + } } } - Ok(()) } @@ -1861,7 +1795,7 @@ mod tests { removed_fragment_ids: vec![], new_fragments: vec![], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -1873,7 +1807,7 @@ mod tests { removed_fragment_ids: vec![2], new_fragments: vec![], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -1888,7 +1822,7 @@ mod tests { updated_fragments: vec![Fragment::new(4)], new_fragments: vec![], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -1990,7 +1924,7 @@ mod tests { removed_fragment_ids: vec![], new_fragments: vec![sample_file.clone()], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -2005,7 +1939,7 @@ mod tests { removed_fragment_ids: vec![], new_fragments: vec![sample_file], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -2127,7 +2061,7 @@ mod tests { removed_fragment_ids: vec![0], new_fragments: vec![sample_file.clone()], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -2140,7 +2074,7 @@ mod tests { removed_fragment_ids: vec![], new_fragments: vec![sample_file.clone()], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -2299,7 +2233,7 @@ mod tests { updated_fragments: vec![fragment0.clone()], new_fragments: vec![fragment2.clone()], fields_modified: vec![0], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -2495,7 +2429,7 @@ mod tests { removed_fragment_ids: vec![], new_fragments: vec![fragment2], fields_modified: vec![0], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, @@ -2918,7 +2852,7 @@ mod tests { removed_fragment_ids: vec![], new_fragments: vec![], fields_modified: vec![], - mem_wal_to_merge: None, + merged_generations: Vec::new(), fields_for_preserving_frag_bitmap: vec![], update_mode: None, inserted_rows_filter: None, From 27f3efcf755d1f4986f1aef028a2c32261c8f81b Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Mon, 12 Jan 2026 22:07:21 -0800 Subject: [PATCH 2/9] docs: address PR review comments on MemWAL spec - Mark as experimental - Restructure sections (architecture first, then components) - Use bloom filter instead of btree for PK existence - Fix vector index: use same IVF type/centroids/codebook as base - Add region pruning, sync/async ops summary - Update query plans for multi-region (no cross-region dedup) - Rename _memwal to _mem_wal - Remove redundant sections Co-Authored-By: Claude Opus 4.5 --- docs/src/format/table/mem_wal.md | 1010 +++++++++--------------------- 1 file changed, 295 insertions(+), 715 deletions(-) diff --git a/docs/src/format/table/mem_wal.md b/docs/src/format/table/mem_wal.md index 060f174e53c..6de8ac2d921 100644 --- a/docs/src/format/table/mem_wal.md +++ b/docs/src/format/table/mem_wal.md @@ -1,37 +1,6 @@ -# MemTable & WAL Specification +# MemTable & WAL Specification (Experimental) -Lance MemTable & WAL (MemWAL) specification describes an Log-Structured-Merge (LSM) tree architecture for Lance tables, enabling high-performance streaming write workloads. - -## Prerequisites - -### Unenforced Primary Key - -MemWAL only works for Lance tables with unenforced primary key defined, -also the unenforced primary key: - -- Must have a [btree index](./index/scalar/btree.md) -- Must be included in the region spec's `source_ids` if a region spec is specified (see [Region Spec](#region-sepc) for more details) - -The last constraint is critical for correctness. -If two regions contain rows with the same primary key, the following scenario can cause data corruption: - -1. Region A receives a write with primary key `pk=1` at time T1 -2. Region B receives a write with primary key `pk=1` at time T2 (T2 > T1) -3. The row in region B is merged into the base table first -4. The row in region A is merged into the base table second -5. The row from Region A (older) now overwrites the row from Region B (newer) - -This violates the expected "last write wins" semantics. -By ensuring each primary key is assigned to exactly one region via the region spec, merge order between regions becomes irrelevant for correctness. - -### IVF Vector Index - -Although later migration is possible, if the main use case is IVF family vector index, -it is recommended to have these indexes on the Lance table before enabling MemWAL. -This is because IVF index needs to remain the same quantization codebook (e.g. PQ codebook) -across all the layers of the LSM tree for vector distance to be comparable. -Migrating one codebook to another is a complicated proceses requiring gradual migration -and coordination between readers and writers. +Lance MemTable & WAL (MemWAL) specification describes a Log-Structured-Merge (LSM) tree architecture for Lance tables, enabling high-performance streaming write workloads. ## Overall Architecture @@ -41,84 +10,13 @@ and coordination between readers and writers. Under the MemWAL setup, the Lance table is called the **base table**. -### MemWAL Region +### Region -**MemWAL Region** is the main unit to horizontally scale out writes. +A **Region** is the main unit to horizontally scale out writes. Each region has exactly one active writer at any time, using **epoch-based fencing** to guarantee single-writer semantics without distributed coordination. Writers claim a region by incrementing the writer epoch, then write data to that region. Data in each region is merged into the base table gradually in the background. -#### Region Identifier - -Each region has a unique identifier across all regions following UUID v4 standard. -When a new region is created, it is assigned a new identifier. - -#### Region Spec - -A **Region Spec** defines how the all rows in a table is logically divided into different regions, -enabling automatic region assignment and query-time region pruning. - -Each region spec has: - -- **Spec ID**: A positive integer that uniquely identifies this spec within the MemWAL index. IDs are never reused. -- **Region fields**: An array of field definitions that determine how to compute region identifiers. - -Each region is bound to a specific region spec ID, recorded in its [manifest](#region-manifest). -Regions without a spec ID (`spec_id = 0`) are manually-created regions not governed by any spec. - -A region spec's field array consists of **region field** definitions. -Each region field has the following properties: - -| Property | Description | -|----------|-------------| -| `field_id` | Unique string identifier for this region field | -| `source_ids` | Array of field IDs referencing source columns in the schema | -| `transform` | A well-known region expression, specify this or `expression` | -| `expression` | A DataFusion SQL expression for custom logic, specify this or `transform` | -| `result_type` | The output type of the region value | - -#### Unenforced Primary key Constraint - -The `source_ids` across all region fields must include all primary key columns. -This ensures rows with the same primary key always map to the same region, which is required for correctness (see [Unenforced Primary Key](#unenforced-primary-key)). - -#### Region Expression - -A **Region Expression** is a [DataFusion SQL expression](https://datafusion.apache.org/user-guide/sql/index.html) that derives a region value from source column(s). -Source columns are referenced as `col0`, `col1`, etc., corresponding to the order of field IDs in `source_ids`. - -Region expressions must satisfy the following requirements: - -1. **Deterministic**: The same input value must always produce the same output value. -2. **Stateless**: The expression must not depend on external state (e.g., current time, random values, session variables). -3. **Type-promotion resistant**: The expression must produce the same result for equivalent values regardless of their numeric type (e.g., `int32(5)` and `int64(5)` must yield the same region value). -4. **Column removal resistant**: If a source field ID is not found in the schema, the column should be interpreted as NULL. -5. **NULL-safe**: The expression should properly handle NULL inputs and have defined behavior (e.g., return NULL if input is NULL for single-column expressions). -6. **Consistent with result type**: The expression's return type must be consistent with `result_type` in non-NULL cases. - -#### Region Transform - -A **Region Transform** is a well-known region expression with a predefined name. -When a transform is specified, the expression is derived automatically. - -| Transform | Parameters | Region Expression | Result Type | -|-----------|------------|-------------------|-------------| -| `identity` | (none) | `col0` | same as source | -| `year` | (none) | `date_part('year', col0)` | `int32` | -| `month` | (none) | `date_part('month', col0)` | `int32` | -| `day` | (none) | `date_part('day', col0)` | `int32` | -| `hour` | (none) | `date_part('hour', col0)` | `int32` | -| `bucket` | `num_buckets` | `abs(murmur3(col0)) % N` | `int32` | -| `multi_bucket` | `num_buckets` | `abs(murmur3_multi(col0, col1, ...)) % N` | `int32` | -| `truncate` | `width` | `left(col0, W)` (string) or `col0 - (col0 % W)` (numeric) | same as source | - -The `bucket` and `multi_bucket` transforms use Murmur3 hash functions: - -- **`murmur3(col)`**: Computes the 32-bit Murmur3 hash (x86 variant, seed 0) of a single column. Returns a signed 32-bit integer. Returns NULL if input is NULL. -- **`murmur3_multi(col0, col1, ...)`**: Computes the Murmur3 hash across multiple columns. Returns a signed 32-bit integer. NULL fields are ignored during hashing; returns NULL only if all inputs are NULL. - -The hash result is wrapped with `abs()` and modulo `N` to produce a non-negative bucket number in the range `[0, N)`. - ### MemWAL Index A **MemWAL Index** is the centralized structure for all MemWAL metadata for a base table. @@ -129,12 +27,12 @@ It stores: - **Merge progress**: Last generation merged to base table for each region - **Region snapshots**: Point-in-time snapshot of all region states for read optimization -The index is the source of truth for **configuration** and **merge progress**, but region state snapshots are read-only (each region's manifest is authoritative for its own state). +The index is the source of truth for **configuration** and **merge progress**, but region state snapshots are for read-only optimization (each region's manifest is authoritative for its own state). Writers read the MemWAL index to get configuration (region specs, maintained indexes) before writing. -Readers use the index to get a snapshot of all region states, then query each region's data alongside the base table and merge results at runtime. +Readers use the index to get a [snapshot of all region states](#reader-consistency), then query each region's data alongside the base table and merge results at runtime. -A background process periodically updates region snapshots by listing regions and loading their manifests. +A [background process](#memwal-index-builder) periodically updates region snapshots by listing regions and loading their manifests. See [MemWAL Index Details](#memwal-index-details) for the complete structure. ## Region Architecture @@ -145,64 +43,47 @@ Within a region, writes enter its MemTable and are flushed to the regional WAL f The MemTable is flushed to storage as a Flushed MemTable based on memory pressure and other conditions. Flushed MemTables are then asynchronously merged into the base table. -Here are the details of the related components and concepts: - ### MemTable -An in-memory Lance table that buffers incoming writes. +An in-memory Lance table that buffers incoming writes. Each write inserts a fragment in the MemTable, making data immediately queryable without waiting for persistence. ### WAL -Write-Ahead Log (WAL) seves as the durable sotrage of MemTable. +Write-Ahead Log (WAL) serves as the durable storage of MemTable. A write to MemTable must be persisted also to the WAL to become fully durable. Every time we write to the WAL, we call it a **WAL Flush**. The whole LSM tree's durability is determined by the durability of the WAL. For example, if WAL is stored in Amazon S3, it has the 99.999999999% durability. -If it is stored in local disk, the data will be lost if the local disk is damanaged. - -#### WAL Entry +If it is stored in local disk, the data will be lost if the local disk is damaged. A WAL consists of an ordered sequence of WAL entries starting from 1. Each entry is a Lance format file. The writer epoch is stored in the Lance file's schema metadata with key `writer_epoch` for fencing validation during replay. -#### File Location - -Each WAL entry is stored within the WAL directory of the region located at `_memwal/{region_id}/wal`. - -#### File Naming +Each WAL entry is stored within the WAL directory of the region located at `_mem_wal/{region_id}/wal`. WAL files use bit-reversed 64-bit binary naming to distribute files evenly across the directory keyspace. This optimizes S3 throughput by spreading sequential writes across S3's internal partitions, minimizing throttling. - The filename is the bit-reversed binary representation of the entry ID with suffix `.lance`. For example, entry ID 5 (binary `000...101`) becomes `1010000000000000000000000000000000000000000000000000000000000000.lance`. -This bit-reversal permutation ensures that sequential entry IDs are spread across the entire keyspace, similar to how [data files use UUID-based naming](layout.md#data-files) for S3 throughput optimization. - ### Flushed MemTable A flushed MemTable is a complete Lance table created by flushing the MemTable to storage. !!!note This is called Sorted String Table (SSTable) or Sorted Run in many LSM-tree literatures and implementations. - However, since our MemTable is not sorted, we just use the term flushed memtable avoid confusion. - -#### Generation + However, since our MemTable is not sorted, we just use the term flushed MemTable to avoid confusion. Each flushed MemTable has a **generation** number starting from 1 that identifies its relative position among all flushed MemTables in the region. When MemTable with generation `i` is flushed, the next MemTable gets generation number `i+1`. -#### Flush Location - -The MemTable of generation `i` is flushed to `_memwal/{region_uuid}/{random_hash}_gen_{i}/` directory, where `{random_hash}` is an 8-character hex value generated at flush time. +The MemTable of generation `i` is flushed to `_mem_wal/{region_uuid}/{random_hash}_gen_{i}/` directory, where `{random_hash}` is an 8-character hex value generated at flush time. The directory content follows [Lance table layout](layout.md). The actual directory path for each generation is recorded in the region manifest's `flushed_generations` list (see [Region Manifest](#region-manifest)). -#### Merging Flushed MemTable - Generation numbers determine merge order: lower numbers represent older data and must be merged to the base table first to preserve correct upsert semantics. ### Region Manifest @@ -211,8 +92,6 @@ Each region has a manifest file containing epoch-based fencing tokens, WAL point The manifest is serialized as a protobuf binary file using the `RegionManifest` message. -#### Contents - The manifest contains: - **Fencing state**: `writer_epoch` (writer fencing token) @@ -221,7 +100,7 @@ The manifest contains: - **Flushed generations**: `flushed_generations` list of generation number and directory path pairs (e.g., generation 1 at `a1b2c3d4_gen_1`) Note: `wal_id_last_seen` is a hint that may be stale since it's not updated on WAL write. -The manifest itself is atomically written, but recovery must try get newer WAL files to find the actual state beyond this hint. +The manifest itself is atomically written, but recovery must try to get newer WAL files to find the actual state beyond this hint.

RegionManifest protobuf message @@ -232,10 +111,8 @@ The manifest itself is atomically written, but recovery must try get newer WAL f
-#### Versioning and Atomicity - Manifests are versioned starting from 1 and immutable. Each update creates a new manifest file at the next version number. -Updates use put-if-not-exists or file rename to ensure atomicity depending on the storage system. +Updates use put-if-not-exists or file rename to ensure atomicity depending on the storage system. If two processes compete, one wins and the other retries. To commit a manifest version: @@ -251,21 +128,16 @@ To read the latest manifest version: 3. Continue until a version is not found 4. The latest version is the last found version -This approach uses HEAD requests instead of LIST operations in cloud storage, -which is in general faster on cloud storage systems and -is friendly to systems like S3 Express that do not support lexicographically sorted listing. - -#### File Location +This approach uses HEAD requests instead of LIST operations in cloud storage, which is generally faster and is friendly to systems like S3 Express that do not support lexicographically sorted listing. -All region manifest versions are stored in `_memwal/{region_id}/manifest` directory. +!!!note + This works because the write rate to region manifests is significantly lower than typical read rates. Region manifests are only updated when region metadata changes (MemTable flush, merge completion), not on every write. This ensures HEAD requests will eventually terminate and find the latest version. -#### File Naming +All region manifest versions are stored in `_mem_wal/{region_id}/manifest` directory. -Each region manifest version file uses bit-reversed 64-bit binary naming, the same scheme as [WAL files](#wal-file-naming). +Each region manifest version file uses bit-reversed 64-bit binary naming, the same scheme as WAL files. For example, version 5 becomes `1010000000000000000000000000000000000000000000000000000000000000.binpb`. -#### Region Manifest Transactions - The region manifest is updated atomically in the following cases: | Trigger | Fields Updated | Details | @@ -278,12 +150,10 @@ The region manifest is updated atomically in the following cases: !!!note WAL flush does **not** update the manifest to keep the hot write path fast. -#### Fencing - Writers use epoch-based fencing (`writer_epoch`) to ensure single-writer semantics. See [Writer Fencing](#writer-fencing) for details. -### Storage Layout +## Storage Layout Here is a recap of the storage layout with all the files and concepts defined so far: @@ -293,7 +163,7 @@ Here is a recap of the storage layout with all the files and concepts defined so │ └── {index_uuid}/ # MemWAL Index (uses standard index storage) │ └── regions.binpb # Serialized region snapshots (protobuf binary) │ -└── _memwal/ +└── _mem_wal/ └── {region_uuid}/ # Region directory (UUID v4) ├── manifest/ │ ├── {bit_reversed_version}.binpb # Serialized region manifest (bit-reversed naming) @@ -304,12 +174,13 @@ Here is a recap of the storage layout with all the files and concepts defined so └── {random_hash}_gen_{i}/ # Flushed MemTable (generation i, random prefix) ├── _versions/ │ └── {version}.manifest # Table manifest (V2 naming scheme) - └── _indices/ # indexes - ├── {vector_index}/ - └── {scalar_index}/ + ├── _indices/ # Indexes + │ ├── {vector_index}/ + │ └── {scalar_index}/ + └── bloom_filter.bin # Primary key bloom filter ``` -### MemWAL Index Details +## MemWAL Index Details The MemWAL Index uses the [standard index storage](index/index.md#index-storage) at `_indices/{UUID}/`. @@ -318,7 +189,7 @@ The index stores its data in two parts: 1. **Index details** (`index_details` in `IndexMetadata`): Contains configuration, merge progress, and snapshot metadata 2. **Region snapshots**: Stored as a Lance file or inline, depending on region count -#### Index Details Schema +### Index Details Schema The `index_details` field in `IndexMetadata` contains a `MemWalIndexDetails` protobuf message with: @@ -334,15 +205,13 @@ The `index_details` field in `IndexMetadata` contains a `MemWalIndexDetails` pro **Configuration fields** (`region_specs`, `maintained_indexes`) are the source of truth for MemWAL configuration. Writers read these fields to determine how to partition data and which indexes to maintain. -- **Region specs** define how rows are partitioned into regions. Multiple specs can coexist during migration. Each spec has a unique `spec_id` that is never reused. See [Region Spec](#region-spec) for field definitions. -- **Maintained indexes** lists indexes (by name) to maintain in MemTables. The primary key btree index is always maintained implicitly and should not be listed here. For vector indexes, MemTables inherit quantization parameters (PQ codebook, SQ params) from the base table index to ensure distance comparability. See [Vector Indexes](#vector-indexes). - **Merge progress** (`merged_generations`) tracks the last generation merged to the base table for each region. This field is updated atomically with merge-insert data commits, enabling conflict resolution when multiple mergers operate concurrently. Each entry contains the region UUID and generation number. **Region snapshot fields** (`snapshot_timestamp`, `num_regions`, `inline_snapshots`) provide a point-in-time snapshot of region states. The actual region manifests remain authoritative for region state. +When `num_regions` is 0, the `inline_snapshots` field may be `None` or an empty Lance file with 0 rows but proper schema.
MemWalIndexDetails protobuf message @@ -353,7 +222,89 @@ The actual region manifests remain authoritative for region state.
-#### Region Snapshot Storage +### Region Identifier + +Each region has a unique identifier across all regions following UUID v4 standard. +When a new region is created, it is assigned a new identifier. + +### Region Spec + +A **Region Spec** defines how all rows in a table are logically divided into different regions, +enabling automatic region assignment and query-time region pruning. + +Each region spec has: + +- **Spec ID**: A positive integer that uniquely identifies this spec within the MemWAL index. IDs are never reused. +- **Region fields**: An array of field definitions that determine how to compute region values. + +Each region is bound to a specific region spec ID, recorded in its [manifest](#region-manifest). +Regions without a spec ID (`spec_id = 0`) are manually-created regions not governed by any spec. + +A region spec's field array consists of **region field** definitions. +Each region field has the following properties: + +| Property | Description | +|----------|-------------| +| `field_id` | Unique string identifier for this region field | +| `source_ids` | Array of field IDs referencing source columns in the schema | +| `transform` | A well-known region expression, specify this or `expression` | +| `expression` | A DataFusion SQL expression for custom logic, specify this or `transform` | +| `result_type` | The output type of the region value | + +#### Primary Key Constraint + +The `source_ids` across all region fields must include all primary key columns. +This ensures rows with the same primary key always map to the same region, which is required for correctness. + +If two regions contain rows with the same primary key, the following scenario can cause data corruption: + +1. Region A receives a write with primary key `pk=1` at time T1 +2. Region B receives a write with primary key `pk=1` at time T2 (T2 > T1) +3. The row in region B is merged into the base table first +4. The row in region A is merged into the base table second +5. The row from Region A (older) now overwrites the row from Region B (newer) + +This violates the expected "last write wins" semantics. +By ensuring each primary key is assigned to exactly one region via the region spec, merge order between regions becomes irrelevant for correctness. + +#### Region Expression + +A **Region Expression** is a [DataFusion SQL expression](https://datafusion.apache.org/user-guide/sql/index.html) that derives a region value from source column(s). +Source columns are referenced as `col0`, `col1`, etc., corresponding to the order of field IDs in `source_ids`. + +Region expressions must satisfy the following requirements: + +1. **Deterministic**: The same input value must always produce the same output value. +2. **Stateless**: The expression must not depend on external state (e.g., current time, random values, session variables). +3. **Type-promotion resistant**: The expression must produce the same result for equivalent values regardless of their numeric type (e.g., `int32(5)` and `int64(5)` must yield the same region value). +4. **Column removal resistant**: If a source field ID is not found in the schema, the column should be interpreted as NULL. +5. **NULL-safe**: The expression should properly handle NULL inputs and have defined behavior (e.g., return NULL if input is NULL for single-column expressions). +6. **Consistent with result type**: The expression's return type must be consistent with `result_type` in non-NULL cases. + +#### Region Transform + +A **Region Transform** is a well-known region expression with a predefined name. +When a transform is specified, the expression is derived automatically. + +| Transform | Parameters | Region Expression | Result Type | +|-----------|------------|-------------------|-------------| +| `identity` | (none) | `col0` | same as source | +| `year` | (none) | `date_part('year', col0)` | `int32` | +| `month` | (none) | `date_part('month', col0)` | `int32` | +| `day` | (none) | `date_part('day', col0)` | `int32` | +| `hour` | (none) | `date_part('hour', col0)` | `int32` | +| `bucket` | `num_buckets` | `abs(murmur3(col0)) % N` | `int32` | +| `multi_bucket` | `num_buckets` | `abs(murmur3_multi(col0, col1, ...)) % N` | `int32` | +| `truncate` | `width` | `left(col0, W)` (string) or `col0 - (col0 % W)` (numeric) | same as source | + +The `bucket` and `multi_bucket` transforms use Murmur3 hash functions: + +- **`murmur3(col)`**: Computes the 32-bit Murmur3 hash (x86 variant, seed 0) of a single column. Returns a signed 32-bit integer. Returns NULL if input is NULL. +- **`murmur3_multi(col0, col1, ...)`**: Computes the Murmur3 hash across multiple columns. Returns a signed 32-bit integer. NULL fields are ignored during hashing; returns NULL only if all inputs are NULL. + +The hash result is wrapped with `abs()` and modulo `N` to produce a non-negative bucket number in the range `[0, N)`. + +### Region Snapshot Storage Region snapshots are stored using one of two strategies based on the number of regions: @@ -370,10 +321,10 @@ This keeps the index metadata compact while avoiding an additional file read for **External Lance file**: For large region counts, snapshots are stored as a Lance file at `_indices/{UUID}/index.lance`. This file uses standard Lance format with the region snapshot schema, enabling efficient columnar access and compression. -#### Region Snapshot Schema +### Region Snapshot Schema Region snapshots are stored as a Lance file with one row per region. -The schema has one column per `RegionManifest` field, with region fields as columns: +The schema has one column per `RegionManifest` field plus region spec columns: | Column | Type | Description | |--------|------|-------------| @@ -386,10 +337,11 @@ The schema has one column per `RegionManifest` field, with region fields as colu | `current_generation` | `uint64` | Next generation to flush | | `merged_generation` | `uint64` | Last generation merged to base | | `flushed_generations` | `list>` | Flushed MemTable paths | +| `region_values` | `struct<{field_id}: {result_type}, ...>` | Region field values from spec | -This schema directly corresponds to the fields in the `RegionManifest` protobuf message. +This schema directly corresponds to the fields in the `RegionManifest` protobuf message plus the computed region values. -#### Staleness Handling +### Staleness Handling Since the index is eventually consistent, readers should handle stale data: @@ -399,7 +351,19 @@ Since the index is eventually consistent, readers should handle stale data: The `snapshot_timestamp` field indicates when the index was built; readers can use this to estimate staleness and decide whether to refresh. -For authoritative state, readers may load individual region manifests directly from `_memwal/{region_uuid}/manifest/`. +For authoritative state, readers may load individual region manifests directly from `_mem_wal/{region_uuid}/manifest/`. + +### Vector Index Configuration + +If the main use case is IVF family vector index, it is recommended to have these indexes on the Lance table before enabling MemWAL. +This is because IVF index needs to remain the same quantization codebook (e.g. PQ codebook) across all the layers of the LSM tree for vector distance to be comparable. + +MemTables automatically inherit vector indexing from base table indexes. +For each vector index on the base table, MemTable uses the same index type (IVF-PQ, IVF-SQ, etc.) with the same centroids and quantization parameters. +This ensures distances are precise and comparable across generations. + +The base table vector index should not change the codebook once MemWAL is enabled. +To switch codebooks, a migration is required: create another vector index with the new codebook, configure MemTable to maintain both indexes, and eventually drop the old index after all data has been merged with the new codebook. ## Writer Expectations @@ -417,6 +381,18 @@ Both options can be enabled independently. When disabled: - **Non-durable writes** buffer data in memory until a flush threshold is reached, accepting potential data loss on crash - **Non-indexed writes** defer index updates, meaning newly written data may not appear in index-accelerated queries until the next index refresh +### Synchronous vs Asynchronous Operations + +Writer operations can be categorized by their synchronous or asynchronous nature: + +| Operation | Mode | Description | +|-----------|------|-------------| +| Write to MemTable | Synchronous | Data inserted into in-memory fragments | +| WAL Flush | Configurable | Synchronous with durable writes, asynchronous otherwise | +| Index Update | Configurable | Synchronous with indexed writes, asynchronous otherwise | +| MemTable Flush | Asynchronous | Triggered by thresholds, runs in background | +| Merge to Base Table | Asynchronous | Background job merges flushed MemTables | + ### Initialization & Recovery A writer must claim a region before performing any write operations: @@ -425,22 +401,11 @@ A writer must claim a region before performing any write operations: 2. Increment `writer_epoch` by one 3. Atomically write a new manifest 4. If the write fails (another writer claimed the epoch), reload the manifest and retry with a higher epoch -5. Read WAL entries sequentially from `replay_after_wal_id + 1` until not found -6. Replay valid WAL entries (those with `writer_epoch` ≤ current epoch) to reconstruct the MemTable with 1:1 fragment mapping (each WAL entry becomes one MemTable fragment) +5. After initialization, read WAL entries sequentially from `replay_after_wal_id + 1` until not found +6. Replay valid WAL entries (those with `writer_epoch` <= current epoch) to reconstruct the MemTable with 1:1 fragment mapping (each WAL entry becomes one MemTable fragment) After recovery, the writer tracks subsequent fragment mappings as new WAL flushes occur (see [WAL Flush](#wal-flush)). -### Writer Fencing - -Before any manifest update (MemTable flush), a writer must verify its `writer_epoch` remains valid: - -- If `local_writer_epoch == stored_writer_epoch`: The writer is still active and may proceed -- If `local_writer_epoch < stored_writer_epoch`: The writer has been fenced and must abort - -Fenced writers must stop all operations immediately and notify pending writes of the failure. - -For a concrete example of fencing between two writers, see [Appendix 1: Writer Fencing Example](#appendix-1-writer-fencing-example). - ### Write Operations Each write operation follows this sequence: @@ -451,8 +416,8 @@ Each write operation follows this sequence: 4. Optionally trigger WAL flush based on size, count, or time thresholds 5. For [durable writes](#writer-configuration), wait for WAL flush to complete before returning 6. For [indexed writes](#writer-configuration), update MemTable indexes before returning: - - Insert primary keys into the btree index - - For each vector column with a base table index: encode and insert into HNSW graph + - Insert primary keys into the bloom filter + - For each vector column with a base table index: encode and insert using the same index type as base table - For each index in `maintained_indexes`: update the corresponding index structure ### WAL Flush @@ -465,17 +430,17 @@ WAL flush batches pending MemTable fragments into a single Lance data file: 4. Write the footer containing batched data file metadata and `writer_epoch` in schema metadata 5. Complete the WAL entry write atomically 6. Mark fragments as flushed in the MemTable -7. Record fragment mappings (MemTable fragment IDs in this batch → WAL entry ID relative to last replay) for index remapping during [MemTable Flush](#memtable-flush) +7. Record fragment mappings (MemTable fragment IDs in this batch -> WAL entry ID relative to last replay) for index remapping during [MemTable Flush](#memtable-flush) !!!note The region manifest is **not** updated on every WAL flush. The `wal_id_last_seen` field is a hint that can be updated: - + 1. **During MemTable flush** - when the region manifest is updated anyway 2. **By a background index builder** - which scans WAL entries and updates each region's `wal_id_last_seen` This keeps the hot write path fast. On recovery, the writer reads WAL entries sequentially starting from `wal_id_last_seen + 1` to discover any WAL entries beyond what the manifest indicates. -The [durable write](#writer-configuration) option also impacts flush behavior: +The WAL flush behavior depends on the [durable write](#writer-configuration) option: | Mode | Behavior | Result | |------|----------|--------| @@ -487,230 +452,36 @@ The [durable write](#writer-configuration) option also impacts flush behavior: MemTable indexing differs from base table indexing to balance write performance with query capability. Rather than maintaining all base table indexes, MemTables maintain a subset specified in the [MemWAL Index](#memwal-index). -#### Primary Key Index - -The **primary key btree index** is always maintained for every MemTable, regardless of other index configuration. -This index is essential for: - -- **Staleness detection**: During vector/FTS search, checking if a candidate from an older generation has a newer version -- **Point lookups**: Fast O(log n) access by primary key -- **Deduplication**: Efficiently finding duplicate primary keys during merge - -The primary key index is implemented as an in-memory `BTreeMap` where `OrderableScalarValue` wraps Arrow's `ScalarValue` with `Ord` implementation (see `lance-index::scalar::btree::OrderableScalarValue`). -For multi-column primary keys, the map key is a tuple of `OrderableScalarValue` for each column. - -#### Vector Indexes - -MemTables **automatically inherit** vector indexing from base table indexes. -This inheritance is critical for **distance comparability** across generations. - -**Why inheritance is required:** - -When ranking search results across generations, distances must be comparable: - -| Component | Must Match Base Table? | Reason | -|-----------|------------------------|--------| -| Quantization (PQ codebook, SQ params) | **Yes** | Determines distance calculation | -| IVF centroids | No | Only affects partition assignment | -| Search structure (HNSW vs flat) | No | Only affects search efficiency | - -If MemTable used independent quantization, distances from MemTable and base table would not be comparable, leading to incorrect ranking. - -**Inheritance behavior:** - -For each vector index on the base table, MemTable automatically: - -1. **Inherits quantization parameters**: PQ codebook, SQ min/max, or no quantization (flat) -2. **Encodes vectors** using inherited quantization during writes -3. **Stores both** raw vectors (for potential refinement) and quantized codes -4. **Uses HNSW** as the search structure (optimal for small MemTable scale) - -| Base Table Index | MemTable Inherits | MemTable Search | -|------------------|-------------------|-----------------| -| IVF-PQ | PQ codebook | HNSW on PQ codes | -| IVF-SQ | SQ parameters | HNSW on SQ codes | -| IVF-FLAT | Nothing (no quantization) | HNSW on raw vectors | -| IVF-HNSW-PQ | PQ codebook | HNSW on PQ codes | - -**Write path with inheritance:** - -``` -Write batch with vectors: - 1. Load PQ/SQ codebook from base table index (cached) - 2. Encode vectors using inherited quantization - 3. Store raw vectors + quantized codes in MemTable - 4. Insert into HNSW graph for search - 5. On MemTable flush, serialize both raw vectors and codes -``` - -**Query path with comparable distances:** - -``` -Search across generations: - 1. Search MemTable HNSW → candidates with quantized distances - 2. Search base table IVF-PQ → candidates with quantized distances - 3. Distances are COMPARABLE (same quantization) - 4. Sort by distance directly - 5. Apply staleness filtering -``` - -!!!warning "PQ Codebook Migration" - When the base table's PQ codebook is retrained, MemTable must switch to the new codebook. - During migration, maintain compatibility by: - 1. Flushing current MemTable before codebook change - 2. New MemTable uses new codebook - 3. Query both old flushed MemTables (old codebook) and new MemTable (new codebook) separately - 4. Merge flushed MemTables to base table before they become incompatible - -#### Scalar Indexes - -The `maintained_indexes` field in `MemWalIndexDetails` lists additional base table indexes to maintain in MemTables. -These include both scalar indexes (typically full-text search indexes needed for real-time text search) and vector indexes. - -Most scalar indexes other than FTS are not needed in MemTables since the primary key btree handles point lookups and staleness detection. - -#### Full-Text Search Indexes - -FTS indexes in MemTables **inherit tokenizer configuration** from base table indexes to ensure consistent tokenization across generations. - -**Inheritance behavior:** - -| Inherited | Not Inherited | -|-----------|---------------| -| Tokenizer type (simple, ngram, jieba, etc.) | Corpus statistics (IDF, avgdl) | -| Language settings | Document frequencies | -| Token filters (lowercase, stemming, etc.) | Posting lists | -| Position storage setting | | - -**Why corpus statistics are NOT inherited:** - -BM25 scoring depends on corpus-level statistics: -- `N`: Total document count -- `avgdl`: Average document length -- `df(t)`: Documents containing term t - -These statistics are specific to each corpus (generation). If MemTable used base table's statistics, scores would be incorrect because: -- IDF would be wrong (term rarity differs between 10K MemTable vs 10M base table) -- avgdl would be wrong (document length distribution may differ) - -**Global BM25 scoring (Lucene-style):** - -At query time, statistics are **aggregated across all generations** for globally-comparable BM25 scores: - -``` -Query: "machine learning" +MemTables maintain a **primary key bloom filter** for efficiently checking whether a primary key exists in a generation. +This enables staleness detection during search queries without requiring expensive point lookups. -Step 1: Aggregate corpus statistics - N_global = Σ gen.doc_count - avgdl_global = Σ gen.sum_total_term_freq / N_global +For vector indexes, MemTables use the same index type as the base table (e.g., IVF-PQ with the same centroids and PQ codebook). +This ensures distances are precise and directly comparable across generations. +The centroid assignment also impacts recall, so using the same centroids ensures consistent search quality. -Step 2: Aggregate term statistics (for query terms only) - df_global("machine") = Σ gen.fts_index.df("machine") - df_global("learning") = Σ gen.fts_index.df("learning") - -Step 3: Compute global IDF - IDF("machine") = log(1 + (N_global - df_global) / (df_global + 0.5)) - -Step 4: Search each generation with global stats - Each FTS index returns candidates scored with global IDF and avgdl - Scores are now COMPARABLE across generations - -Step 5: Merge and rank globally -``` - -This follows the same pattern as [Apache Lucene's multi-segment BM25 scoring](https://github.com/apache/lucene), where: -- Each segment (generation) stores its own corpus statistics -- At query time, statistics are summed across segments -- A single scorer with global parameters is used for all segments - -**Required FTS index statistics:** - -Each MemTable FTS index must expose: - -| Statistic | Description | Used For | -|-----------|-------------|----------| -| `doc_count` | Documents in this index | Global N | -| `sum_total_term_freq` | Sum of all document lengths | Global avgdl | -| `df(term)` | Documents containing term | Global IDF | - -These are summed at query time to compute global BM25 parameters. - -#### In-Memory Index Structure - -Each MemTable maintains indexes as in-memory data structures: - -| Index Type | In-Memory Structure | Description | -|------------|---------------------|-------------| -| Primary key btree | `BTreeMap` | Maps primary key value(s) to row ID | -| Vector (HNSW + quantization) | `HnswBuilder` + `Quantizer` | HNSW graph + inherited PQ/SQ codebook | -| Additional btree | `BTreeMap` | Maps indexed column value(s) to row ID | - -**Memory overhead** for ~20K vectors (64MB MemTable): - -| Component | Size | Notes | -|-----------|------|-------| -| HNSW graph structure | ~5-10MB | Neighbors + distances | -| Thread-safe overhead | ~1MB | `RwLock` per node | -| PQ codebook (cached) | ~1MB | Shared across MemTables | -| PQ codes storage | ~1-2MB | 64 bytes/vector typical | -| **Total** | ~10-15% of MemTable size | - -#### Index Update Timing - -Index update timing depends on the [indexed write](#writer-configuration) setting: - -| Mode | Index Update Timing | Query Behavior | -|------|---------------------|----------------| -| Indexed write | Synchronous: indexes updated before write returns | New data immediately searchable via indexes | -| Non-indexed write | Deferred: indexes updated in background or at next flush | New data may require full scan until index refresh | - -When indexes are updated (either synchronously or deferred): - -1. **Primary key btree**: Insert `(pk_value, row_id)` into `BTreeMap` -2. **Vector indexes**: For each vector column with a base table index: - - Encode vector using inherited quantization (PQ/SQ codebook) - - Insert into HNSW graph with `O(log n)` complexity -3. **Other indexes**: Update according to index-specific logic - -Entries reference MemTable fragment IDs and row offsets. - -#### Flushed MemTable Index Caching +For full-text search indexes, MemTables inherit tokenizer configuration from base table indexes to ensure consistent tokenization across generations. +Each generation maintains its own corpus statistics (document count, term frequencies) which are aggregated at query time for globally-comparable BM25 scores. When a MemTable is flushed to storage: -1. In-memory indexes are serialized to disk in the flushed MemTable's `_indices/` directory: - - **Primary key btree**: Written as Lance btree index format - - **Vector indexes**: HNSW graph + quantized codes written in Lance format - - **Raw vectors**: Stored in data files for potential exact distance refinement - - **Other indexes**: Written in their respective formats -2. The in-memory index structures are retained as a **cache** for readers in the same process -3. Remote readers load indexes from disk; local readers use the cached in-memory structures - -This caching strategy provides: - -- **Zero-latency index access** for readers in the writer's process -- **No index rebuild overhead** for local readers after flush -- **Standard disk-based access** for remote readers - -Fragment mappings enable index remapping during [MemTable Flush](#memtable-flush). These mappings are recorded: - -- During [Initialization & Recovery](#initialization--recovery): 1:1 mapping from replayed WAL entries -- During [WAL Flush](#wal-flush): mapping from batched MemTable fragments to WAL entry +1. Indexes are serialized to disk in the flushed MemTable's `_indices/` directory following the Lance table index format +2. The primary key bloom filter is serialized to `bloom_filter.bin` in the generation directory +3. The in-memory index structures may be retained as a cache for readers in the same process ### MemTable Flush Flushing the MemTable creates a new flushed MemTable (generation) with data and indexes: 1. Generate a random 8-character hex prefix (e.g., `a1b2c3d4`) -2. Create directory `_memwal/{region_uuid}/{random_hash}_gen_{current_generation}/` +2. Create directory `_mem_wal/{region_uuid}/{random_hash}_gen_{current_generation}/` 3. Identify WAL entries to include (from `replay_after_wal_id + 1` to the last flushed entry) 4. Create table manifest with `base_paths` pointing to the WAL directory 5. Add fragment entries referencing WAL files via `base_id` 6. Remap indexes using in-memory fragment mappings: - Read index entries referencing MemTable fragment IDs - - Translate to flushed MemTable fragment IDs using mappings (MemTable fragment ID → WAL entry ID relative to last replay) - - Write remapped indexes to `_memwal/{region_uuid}/{random_hash}_gen_{current_generation}/_indices/` -7. Write the manifest to `_memwal/{region_uuid}/{random_hash}_gen_{current_generation}/_versions/{version}.manifest` (using [V2 naming scheme](transaction.md#manifest-naming-schemes)) + - Translate to flushed MemTable fragment IDs using mappings (MemTable fragment ID -> WAL entry ID relative to last replay) + - Write remapped indexes to `_mem_wal/{region_uuid}/{random_hash}_gen_{current_generation}/_indices/` +7. Write the manifest to `_mem_wal/{region_uuid}/{random_hash}_gen_{current_generation}/_versions/{version}.manifest` (using [V2 naming scheme](transaction.md#manifest-naming-schemes)) 8. Update the region manifest: - Advance `replay_after_wal_id` to the last flushed WAL entry - Update `wal_id_last_seen` @@ -721,6 +492,17 @@ The random prefix ensures that flush retries write to a new directory, avoiding If the writer crashes before completing MemTable flush, the new writer replays WAL entries into memory with 1:1 fragment mapping, rebuilds the in-memory indexes, and can then perform a fresh MemTable flush with a new random prefix. +### Writer Fencing + +Before any manifest update (MemTable flush), a writer must verify its `writer_epoch` remains valid: + +- If `local_writer_epoch == stored_writer_epoch`: The writer is still active and may proceed +- If `local_writer_epoch < stored_writer_epoch`: The writer has been fenced and must abort + +Fenced writers must stop all operations immediately and notify pending writes of the failure. + +For a concrete example of fencing between two writers, see [Appendix 1: Writer Fencing Example](#appendix-1-writer-fencing-example). + ## Background Job Expectations Background jobs run independently from writers and handle asynchronous maintenance tasks. @@ -776,37 +558,12 @@ The MemWAL Index is authoritative for conflict resolution; the region manifest i For a concrete example, see [Appendix 2: Concurrent Merger Example](#appendix-2-concurrent-merger-example). -#### Implementation Consideration: Atomic Index Maintenance - -The merge commit should atomically update both data and indexes in the base table. -If data is merged but indexes are updated separately (e.g., via a background rebuild), there is a window where: - -1. Merged data exists in the base table but is not covered by base table indexes -2. The flushed MemTable (with its indexes) has been garbage collected -3. Queries must fall back to brute-force scans for the unindexed data, degrading performance - -To avoid this performance degradation: - -| Index Type | Recommended Approach | -|------------|---------------------| -| **Btree** | Incremental insert during merge transaction | -| **FTS** | Incremental update to posting lists and statistics | -| **Vector (IVF)** | Add vectors to existing partitions without retraining centroids | - -For vector indexes, adding to existing IVF partitions may cause partition imbalance over time. -Periodic rebalancing (e.g., SPFresh-style centroid updates) can address this, but the rebalancing operation itself should also be atomic with any data changes it affects. - -If atomic index maintenance is not feasible for a particular index type, implementations should either: - -- **Delay garbage collection**: Keep flushed MemTable indexes until base table indexes are updated -- **Track index coverage**: Maintain separate `index_merged_generation` to know which generations are covered by base table indexes - ### MemWAL Index Builder A background process periodically builds a new region snapshot: 1. Load the existing MemWAL Index to preserve configuration (`region_specs`, `maintained_indexes`) and merge progress (`merged_generations`) -2. List all region directories under `_memwal/` +2. List all region directories under `_mem_wal/` 3. For each region: - Load the region manifest - Scan WAL entries sequentially to find the actual last entry ID @@ -854,97 +611,66 @@ Garbage collection must verify that no flushed MemTable still references a WAL f ## Reader Expectations -### Consistency Guarantees +### Reader Consistency -Reader consistency depends on two dimensions: +Reader consistency depends on two factors: access to in-memory MemTables and the source of region metadata. -| Dimension | Options | -|-----------|---------| -| **MemTable access** | Has access to in-memory MemTable, or only persisted data | -| **Manifest source** | Reads region manifests directly, or uses MemWAL Index | +Strong consistency requires access to in-memory MemTables for all regions involved in the query and reading region manifests directly. +Otherwise, the query is eventually consistent due to missing unflushed data or stale MemWAL Index snapshots. -**Strong consistency** requires both: +### Region Pruning -1. Access to in-memory MemTables for **all** regions involved in the query -2. Reading region manifests directly (not via MemWAL Index) +Before executing queries, the planner evaluates filter predicates against region specs to determine which regions may contain matching data. +This pruning step reduces the number of regions to scan. -Otherwise, the query is **eventually consistent**. +For each filter predicate: -#### Consistency Matrix +1. Extract predicates on columns used in region specs +2. Evaluate which region values can satisfy the predicate +3. Prune regions whose values cannot match -| MemTable Access | Manifest Source | Consistency | -|-----------------|-----------------|-------------| -| All regions | Region manifest | **Strong** | -| All regions | MemWAL Index | Eventually consistent (index may be stale) | -| Partial/None | Region manifest | Eventually consistent (missing unflushed data) | -| Partial/None | MemWAL Index | Eventually consistent (both sources of staleness) | +For example, with a region spec using `bucket(user_id, 10)` and a filter `user_id = 123`: -#### Sources of Staleness +1. Compute `bucket(123, 10) = 3` +2. Only scan regions with bucket value 3 +3. Skip all other regions -- **Missing MemTable access**: Unflushed data in a writer's in-memory MemTable is not visible -- **Stale MemWAL Index**: Newly flushed MemTables are not visible until the index is rebuilt -- **Stale region manifest cache**: If readers cache region manifests, newly flushed MemTables may not be visible +Region pruning applies to both scan queries and prefilters in search queries. ### Query Planning -From the query planner's perspective, MemWAL data is abstracted as a mapping: - -``` -region -> generation -> Dataset -``` - -Where: +The query planner collects datasets from multiple sources and assembles them for unified query execution. +Datasets come from the base table (representing already-merged data), flushed MemTables (persisted but not yet merged), and optionally in-memory MemTables (if accessible). -- **Region**: UUID identifying the region -- **Generation**: Integer generation number (`-1` for base table, `1+` for MemTables) -- **Dataset**: Either in-memory MemTable or persisted flushed MemTable (Lance table) +Each dataset is tagged with a generation number: -1 for the base table, and positive integers for MemTable generations. +Within a region, the generation number determines data freshness, with higher numbers representing newer data. +Rows from different regions do not need deduplication since each primary key maps to exactly one region. -The planner collects datasets from: - -1. **Base table**: generation = -1 -2. **Flushed MemTables**: generations in range `(merged_generation, current_generation)` from region manifest or MemWAL Index -3. **In-memory MemTable**: generation = `current_generation` (if accessible) +The planner also collects bloom filters from each generation for staleness detection during search queries. ### Query Execution -Query execution unions all datasets and deduplicates by primary key. - -**Deduplication ranking** uses two virtual columns: - -- `_gen`: Generation number (-1 for base, 1+ for MemTables) -- `_rowaddr`: Row address within the dataset - +Query execution unions datasets within each region and deduplicates by primary key. +Deduplication uses two virtual columns: `_gen` (generation number, same value for all rows in a generation) and `_rowaddr` (row address within the dataset). The ordering for "newest" is: highest `_gen` first, then highest `_rowaddr` (within the same generation, later rows win). A single write batch may contain duplicate primary keys. Query execution must deduplicate, keeping only the newest row for each key. -For detailed query plans by query type, see [Appendix 3: Query Execution Examples](#appendix-3-query-execution-examples). - -## Durability Guarantees - -| Mode | Guarantee | Latency | -|------|-----------|---------| -| Durable write | Data persisted to object storage before return | Higher (S3 PUT latency) | -| Non-durable write | Data in memory only until next flush | Lower (memory write only) | - -Writers using non-durable writes accept potential data loss between the last flush and a crash. -The flush interval and buffer size thresholds control the maximum data at risk. - -For configuration details, see [Writer Configuration](#writer-configuration). - -## MemWAL Optimizations - -One key reason we call the whole system MemWAL is that we could perform the following 2 optimziations -to minimize flush latency: +For scan queries with filters, the plan unions datasets from relevant regions (after pruning), deduplicates within each region, then applies any remaining filters. +Early termination is possible with a streaming deduplicate operator. -### WAL Flush +For vector search queries, each generation's index is searched independently. +Results from base table and MemTable generations use the same distance metric since they share identical index configuration. +The bloom filter is used to detect stale results: for each candidate from generation G, check if the primary key exists in any bloom filter from generations > G. +If found, the candidate is filtered out because a newer version exists that did not match the query as well. -the list of fragments in MemTable can be viewed as an in-memory buffer of the WAL. This means instead of writing the same data twice to MemTable and WAL, we write data once to MemTable, and then WAL can be flushed from the data file in the fragments. +For full-text search queries, corpus statistics (document count, term frequencies) are aggregated across all generations to compute global BM25 parameters. +Each generation's FTS index is then searched with the global parameters, producing comparable scores. +Staleness filtering uses bloom filters similar to vector search. -### MemTable Flush +For point lookups, the planner can short-circuit by checking newest generations first and returning immediately when the key is found. -because the list of WAL entries are Lance data files, -we can directly treat them as the data files of the flushed MemTable. +For detailed query plan examples, see [Appendix 3: Query Execution Examples](#appendix-3-query-execution-examples). ## Appendices @@ -987,8 +713,8 @@ When Writer B performs crash recovery or MemTable flush: 3. Continues until an entry is not found (e.g., entry 18 doesn't exist) 4. Finds entries 13, 14, 15, 16, 17 5. Reads each file's `writer_epoch` from schema metadata -6. Entries 13, 14, 15 have `writer_epoch=6` which is ≤ current epoch (7) → **valid, will be replayed** -7. Entries 16, 17 have `writer_epoch=7` → **valid, will be replayed** +6. Entries 13, 14, 15 have `writer_epoch=6` which is <= current epoch (7) -> **valid, will be replayed** +7. Entries 16, 17 have `writer_epoch=7` -> **valid, will be replayed** #### Key Points @@ -1037,27 +763,7 @@ Two mergers both try to merge generation 6 concurrently. Merger B's conflict resolution detected that generation 6 was already merged by checking the MemWAL Index in the conflicting commit. -#### Scenario 2: Stale Merger with Out-of-Order Attempt - -Merger B has a stale view and tries to merge an older generation. - -| Step | Merger A | Merger B | MemWAL Index | Region Manifest | -|------|----------|----------|--------------|-----------------| -| 1 | Reads index, region manifest | | merged_gen=5 | merged_gen=5 | -| 2 | Merges gen 6, commits | | **merged_gen=6** | merged_gen=5 | -| 3 | Updates region manifest | | merged_gen=6 | **merged_gen=6** | -| 4 | Merges gen 7, commits | | **merged_gen=7** | merged_gen=6 | -| 5 | Updates region manifest | | merged_gen=7 | **merged_gen=7** | -| 6 | | Reads stale index | merged_gen=7 | merged_gen=7 | -| 7 | | Thinks gen 6 needs merging | | | -| 8 | | Tries to commit gen 6 | | | -| 9 | | **Conflict**: reads new index | | | -| 10 | | Sees merged_gen=7 >= 6, aborts | | | -| 11 | | Reloads index, skips gen 6, 7 | | | - -Even with a stale MemWAL Index, Merger B correctly detected that generation 6 was already merged by checking the authoritative MemWAL Index in the conflicting commit. - -#### Scenario 3: Crash After Table Commit +#### Scenario 2: Crash After Table Commit Merger A crashes after committing to the table but before updating the region manifest. @@ -1086,264 +792,138 @@ The MemWAL Index is authoritative. Even though the region manifest was stale, Me 4. **No progress regression**: Because MemWAL Index is updated atomically with data, concurrent mergers cannot regress the merge progress. -5. **Crash recovery is safe**: If a merger crashes after table commit but before region manifest update, subsequent mergers use MemWAL Index to skip already-merged generations. - ### Appendix 3: Query Execution Examples -This appendix provides query plan examples. All examples assume the planner has collected datasets as: +This appendix provides query plan examples using custom execution nodes optimized for MemWAL's data model. +See [Appendix 4: Execution Nodes](#appendix-4-execution-nodes) for detailed node descriptions. -``` -datasets = { - -1: base_table, # generation -1 = base table - 1: flushed_gen_1, # flushed MemTable generation 1 - 2: flushed_gen_2, # flushed MemTable generation 2 - 3: in_memory_memtable, # current generation (if accessible) -} -``` +All examples assume multiple regions with datasets organized as: -The core pattern for all queries: +``` +region_A: + gen -1: base_table (rows with region_A's pk range) + gen 1: flushed_gen_1 + gen 2: in_memory_memtable -1. **Union** all datasets with their generation number -2. **Deduplicate** by primary key, ranking by `(_gen DESC, _rowaddr DESC)` -3. **Apply** query-specific operators (filter, sort, limit) +region_B: + gen -1: base_table (rows with region_B's pk range) + gen 1: flushed_gen_1 + gen 2: flushed_gen_2 + gen 3: in_memory_memtable +``` #### Scan Queries +For scan queries, each region is processed independently since primary keys don't overlap between regions. + ``` -GlobalLimitExec: limit=n - DeduplicateExec: partition_by=[primary_key], order_by=[_gen DESC, _rowaddr DESC] +UnionExec # Union results from all regions + # Region A + DeduplicateExec: partition_by=[pk], order_by=[_gen DESC, _rowaddr DESC] UnionExec - ScanExec: dataset[gen=-1], projection=[columns], filter=[pushed_down] - ScanExec: dataset[gen=1], projection=[columns], filter=[pushed_down] - ScanExec: dataset[gen=2], projection=[columns], filter=[pushed_down] - ScanExec: dataset[gen=3], projection=[columns] + ScanExec: region_A[gen=2], filter=[pushed_down] + ScanExec: region_A[gen=1], filter=[pushed_down] + ScanExec: region_A[gen=-1], filter=[pushed_down] + # Region B + DeduplicateExec: partition_by=[pk], order_by=[_gen DESC, _rowaddr DESC] + UnionExec + ScanExec: region_B[gen=3], filter=[pushed_down] + ScanExec: region_B[gen=2], filter=[pushed_down] + ScanExec: region_B[gen=1], filter=[pushed_down] + ScanExec: region_B[gen=-1], filter=[pushed_down] ``` -Early termination is possible with a streaming deduplicate operator. - #### Vector Search Queries -Vector search requires special handling for staleness detection. Consider this scenario: - -1. Base table has `pk=123` with vector `v1` that matches the query (distance = 0.1) -2. MemTable has `pk=123` with updated vector `v2` that doesn't match (distance = 0.9) -3. KNN search on base table returns `pk=123` (good score) -4. KNN search on MemTable does NOT return `pk=123` (v2 is far from query) -5. Without staleness detection, the old version from base table would be incorrectly returned - -The solution uses the **primary key btree index** to filter out stale results: +Vector search uses bloom filters to detect stale results across generations within each region. ``` GlobalLimitExec: limit=k SortExec: order_by=[_dist ASC] - FilterStaleExec: pk_indexes=[btree[gen=3], btree[gen=2], btree[gen=1]] - UnionExec - KNNExec: dataset[gen=3], k=k*overfetch -- highest gen first - KNNExec: dataset[gen=2], k=k*overfetch - KNNExec: dataset[gen=1], k=k*overfetch - KNNExec: dataset[gen=-1], k=k*overfetch + UnionExec # Union results from all regions + # Region A + FilterStaleExec: bloom_filters=[bf[gen=2], bf[gen=1]] + UnionExec + KNNExec: region_A[gen=2], k=k*overfetch + KNNExec: region_A[gen=1], k=k*overfetch + KNNExec: region_A[gen=-1], k=k*overfetch + # Region B + FilterStaleExec: bloom_filters=[bf[gen=3], bf[gen=2], bf[gen=1]] + UnionExec + KNNExec: region_B[gen=3], k=k*overfetch + KNNExec: region_B[gen=2], k=k*overfetch + KNNExec: region_B[gen=1], k=k*overfetch + KNNExec: region_B[gen=-1], k=k*overfetch ``` -For each candidate from generation G, `FilterStaleExec` checks if the primary key exists in btree indexes of generations > G. If found, the candidate is filtered out. The newer version doesn't participate in ranking since it didn't match the query. +For each candidate from generation G, `FilterStaleExec` checks if the primary key exists in bloom filters of generations > G. +If found, the candidate is filtered out because a newer version exists that was not as relevant to the query. #### Full-Text Search Queries -Full-text search has two challenges across generations: - -1. **Staleness**: A document may match a query in an older generation but not in a newer generation after the text was updated -2. **Score comparability**: BM25 scores depend on corpus statistics which differ per generation - -**Solution:** Use global BM25 scoring (Lucene-style) with staleness filtering. +Full-text search aggregates corpus statistics across generations for globally-comparable BM25 scores. ``` --- Physical plan GlobalLimitExec: limit=k SortExec: order_by=[_bm25 DESC] - FilterStaleExec: pk_indexes=[btree[gen=3], btree[gen=2], btree[gen=1]] - GlobalBM25Exec: -- aggregates stats, creates single scorer - UnionExec - FTSExec: dataset[gen=3], query="search terms" - FTSExec: dataset[gen=2], query="search terms" - FTSExec: dataset[gen=1], query="search terms" - FTSExec: dataset[gen=-1], query="search terms" -``` - -**GlobalBM25Exec** performs: - -1. Collects `doc_count` and `sum_total_term_freq` from all FTS indexes -2. Computes global `N` and `avgdl` -3. For query terms, sums `df(term)` from all indexes to compute global IDF -4. Passes global BM25 parameters to each `FTSExec` -5. All candidates receive globally-comparable BM25 scores - -This ensures fair ranking between base table (large corpus) and MemTable (small corpus) results. -See [Full-Text Search Indexes](#full-text-search-indexes) for details on the global scoring approach. + UnionExec # Union results from all regions + # Region A + FilterStaleExec: bloom_filters=[bf[gen=2], bf[gen=1]] + GlobalBM25Exec # Aggregates stats across region A generations + UnionExec + FTSExec: region_A[gen=2], query="search terms" + FTSExec: region_A[gen=1], query="search terms" + FTSExec: region_A[gen=-1], query="search terms" + # Region B + FilterStaleExec: bloom_filters=[bf[gen=3], bf[gen=2], bf[gen=1]] + GlobalBM25Exec # Aggregates stats across region B generations + UnionExec + FTSExec: region_B[gen=3], query="search terms" + FTSExec: region_B[gen=2], query="search terms" + FTSExec: region_B[gen=1], query="search terms" + FTSExec: region_B[gen=-1], query="search terms" +``` + +`GlobalBM25Exec` collects document counts and term frequencies from all FTS indexes within the region, computes global BM25 parameters, and passes them to each `FTSExec` for comparable scoring. #### Point Lookups -Point lookups can short-circuit by checking newest generations first: +Point lookups first determine the target region using the region spec, then short-circuit by checking newest generations first. ``` --- Physical plan (short-circuit evaluation) -CoalesceExec: return_first_non_null - -- Check newest generation first, take last row (scan is ordered by _rowaddr) - TakeLastExec: - ScanExec: dataset[gen=3], filter=[primary_key = target] +# After region pruning: only region_A needs to be checked +CoalesceFirstExec: return_first_non_null TakeLastExec: - ScanExec: dataset[gen=2], filter=[primary_key = target] + ScanExec: region_A[gen=2], filter=[pk = target] TakeLastExec: - ScanExec: dataset[gen=1], filter=[primary_key = target] + ScanExec: region_A[gen=1], filter=[pk = target] TakeLastExec: - ScanExec: dataset[gen=-1], filter=[primary_key = target] + ScanExec: region_A[gen=-1], filter=[pk = target] ``` -Point lookups terminate early once the key is found. Since scans are naturally ordered by `_rowaddr`, we take the last matching row without explicit sorting. +Point lookups terminate early once the key is found. ### Appendix 4: Execution Nodes -This appendix describes custom execution nodes for MemWAL query execution. These nodes are optimized for MemWAL's data model where each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`. +This appendix describes custom execution nodes for MemWAL query execution. #### DeduplicateExec Deduplicates rows by primary key, keeping the row with highest `(_gen, _rowaddr)`. - -**Semantics:** -``` -For each primary key across all input datasets: - Keep the row with max(_gen), breaking ties by max(_rowaddr) -``` - -**Optimized implementation:** - -Since each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`: - -1. Process datasets from highest `_gen` to lowest -2. Maintain a set of seen primary keys -3. For each dataset: - - Scan rows (naturally ordered by `_rowaddr`) - - For each primary key, buffer rows until key changes, emit last row - - Skip primary keys already in seen set - - Add emitted primary keys to seen set -4. Stream results without full materialization - -**Complexity:** O(n) where n = total rows, with O(k) memory where k = unique primary keys. +Since each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`, this can be implemented as a streaming operator without full materialization. #### TakeLastExec -Takes the last row from an ordered input stream. - -**Semantics:** -``` -Buffer rows until input exhausted, emit final row -``` - -**Optimized implementation:** - -Since we only need the last row: - -1. Iterate through input, keeping only the most recent row in memory -2. On input exhaustion, emit the buffered row (or nothing if empty) - -**Complexity:** O(n) time, O(1) memory (single row buffer). +Takes the last row from an ordered input stream using O(1) memory. #### CoalesceFirstExec -Returns the first non-null/non-empty result from multiple inputs, with short-circuit evaluation. - -**Semantics:** -``` -For each input in order: - Execute input - If result is non-empty, return it immediately - Otherwise, continue to next input -Return empty if all inputs are empty -``` - -**Implementation:** - -1. Inputs are evaluated lazily in order -2. On first non-empty result, return immediately without evaluating remaining inputs -3. Useful for point lookups: check newest generation first, return on match - -**Complexity:** Best case O(1) inputs evaluated, worst case O(k) where k = number of inputs. +Returns the first non-empty result from multiple inputs with short-circuit evaluation. +Inputs are evaluated lazily in order; on first non-empty result, remaining inputs are not evaluated. #### FilterStaleExec -Filters out rows that have a newer version in a higher generation. Used for search workloads where the newer version may not appear in search results (e.g., updated vector no longer matches query). - -**Parameters:** - -- `pk_indexes`: List of primary key btree indexes for each generation, ordered by generation descending - -**Why btree index lookup is necessary:** - -A naive approach would only check if the same primary key appears in search results from newer generations. However, this fails when: - -1. Vector `v1` (generation 1) matches query → returned by KNN -2. Vector `v2` (generation 2, same pk) doesn't match query → NOT returned by KNN -3. Naive approach: pk only appears once in results → not filtered (WRONG) -4. Btree approach: check btree[gen=2] for pk → found → filtered out (CORRECT) - -**Behavior:** - -Stale results are **filtered out** (not included in output). They do not participate in final ranking. This is the correct semantic for search: if a row was updated and the new version doesn't match the query, the old matching version should not be returned. - -**Algorithm (iterative roll-up):** - -Process generations from highest to lowest, accumulating known primary keys: - -``` -known_pks = {} # pks confirmed to exist in processed generations - -For gen in [highest_gen, ..., lowest_gen]: - gen_candidates = candidates.filter(_gen == gen) - - For each candidate (pk, gen) in gen_candidates: - # Fast path: pk already seen in a higher generation's results - If pk in known_pks: - Filter out candidate (stale) - Continue - - # Slow path: check btree indexes of higher generations - For check_gen in [highest_gen, ..., gen+1]: - If pk_indexes[check_gen].contains(pk): - Filter out candidate (stale) - Break - - If not filtered: - Emit candidate - - # Roll up: add all pks from this generation's btree to known set - # This enables fast-path checks for lower generations - known_pks.add_all(pk_indexes[gen].keys()) -``` - -**Why roll-up matters:** - -Without roll-up, each candidate requires btree lookups in all higher generations. With roll-up: - -1. Process gen 3: emit candidates, add gen 3 pks to `known_pks` -2. Process gen 2: check `known_pks` first (O(1)), then btree if needed -3. Process gen 1: many pks already in `known_pks`, fewer btree lookups - -**Complexity:** - -- Best case: O(n) when most pks are found via `known_pks` fast path -- Worst case: O(n × g × log m) where n = candidates, g = generations, m = rows per generation - -**Optimization:** For in-memory btree indexes (cached from flushed MemTables), lookups are O(log m) with no I/O. The base table may use a different staleness check mechanism (e.g., deletion vectors) since it doesn't maintain an in-memory btree. - -#### Usage in Query Plans - -| Query Type | Execution Pattern | -|------------|-------------------| -| Scan | `DeduplicateExec` → streams deduplicated rows | -| Point Lookup | `CoalesceFirstExec` → `TakeLastExec` per dataset | -| Vector Search | `FilterStaleExec(pk_indexes)` → `SortExec(_dist)` → `LimitExec` | -| Full-Text Search | `GlobalBM25Exec` → `FilterStaleExec(pk_indexes)` → `SortExec(_bm25)` → `LimitExec` | - -**Note on Vector/FTS Search:** - -- **Staleness filtering:** `FilterStaleExec` uses primary key btree indexes to filter out stale versions even when the newer version doesn't appear in search results (e.g., updated vector/text no longer matches query). Stale results are removed before ranking, ensuring top-k contains only current versions. -- **Vector scoring:** Distances are directly comparable across generations because MemTable inherits quantization (PQ codebook) from base table. -- **FTS scoring:** BM25 scores are made comparable via `GlobalBM25Exec`, which aggregates corpus statistics across generations (Lucene-style multi-segment scoring). +Filters out rows that have a newer version in a higher generation. +For each candidate with primary key `pk` from generation G, checks bloom filters of generations > G. +If the bloom filter indicates the key may exist in a newer generation, the candidate is filtered out. +False positives from bloom filters may cause some valid results to be filtered, but this is acceptable for search workloads where approximate results are expected. From 5a7d3790440de52093f7648cc3899cb033c4d291 Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 00:07:48 -0800 Subject: [PATCH 3/9] Update --- docs/src/format/table/mem_wal.md | 454 +++++++++++---------- docs/src/format/table/mem_wal_regional.png | Bin 551389 -> 0 bytes docs/src/images/mem_wal_regional.png | Bin 0 -> 566176 bytes 3 files changed, 237 insertions(+), 217 deletions(-) delete mode 100644 docs/src/format/table/mem_wal_regional.png create mode 100644 docs/src/images/mem_wal_regional.png diff --git a/docs/src/format/table/mem_wal.md b/docs/src/format/table/mem_wal.md index 6de8ac2d921..c8d514c171f 100644 --- a/docs/src/format/table/mem_wal.md +++ b/docs/src/format/table/mem_wal.md @@ -2,6 +2,9 @@ Lance MemTable & WAL (MemWAL) specification describes a Log-Structured-Merge (LSM) tree architecture for Lance tables, enabling high-performance streaming write workloads. +!!!note + MemWAL requires the table to have an [unenforced primary key](index.md#unenforced-primary-key) defined. + ## Overall Architecture ![MemWAL Overview](../../images/mem_wal_overview.png) @@ -13,10 +16,23 @@ Under the MemWAL setup, the Lance table is called the **base table**. ### Region A **Region** is the main unit to horizontally scale out writes. + Each region has exactly one active writer at any time, using **epoch-based fencing** to guarantee single-writer semantics without distributed coordination. Writers claim a region by incrementing the writer epoch, then write data to that region. Data in each region is merged into the base table gradually in the background. +Regions must contain rows that are **mutually exclusive**. +Two regions contain rows with the same primary key, the following scenario can cause data corruption: + +1. Region A receives a write with primary key `pk=1` at time T1 +2. Region B receives a write with primary key `pk=1` at time T2 (T2 > T1) +3. The row in region B is merged into the base table first +4. The row in region A is merged into the base table second +5. The row from Region A (older) now overwrites the row from Region B (newer) + +This violates the expected "last write wins" semantics. +By ensuring each primary key is assigned to exactly one region via the region spec, merge order between regions becomes irrelevant for correctness. + ### MemWAL Index A **MemWAL Index** is the centralized structure for all MemWAL metadata for a base table. @@ -37,7 +53,7 @@ See [MemWAL Index Details](#memwal-index-details) for the complete structure. ## Region Architecture -![Region Architecture](mem_wal_regional.png) +![Region Architecture](../../images/mem_wal_regional.png) Within a region, writes enter its MemTable and are flushed to the regional WAL for durability. The MemTable is flushed to storage as a Flushed MemTable based on memory pressure and other conditions. @@ -48,6 +64,12 @@ Flushed MemTables are then asynchronously merged into the base table. An in-memory Lance table that buffers incoming writes. Each write inserts a fragment in the MemTable, making data immediately queryable without waiting for persistence. +In addition to the data fragments, a MemTable maintains: + +- **Primary key bloom filter**: For efficient existence checks during staleness detection +- **In-memory index builders**: Incremental index structures that mirror base table indexes, enabling indexed queries on unflushed data +- **WAL fragment mapping**: Tracks correspondence between MemTable fragment IDs and WAL entry IDs for index remapping during flush + ### WAL Write-Ahead Log (WAL) serves as the durable storage of MemTable. @@ -131,7 +153,7 @@ To read the latest manifest version: This approach uses HEAD requests instead of LIST operations in cloud storage, which is generally faster and is friendly to systems like S3 Express that do not support lexicographically sorted listing. !!!note - This works because the write rate to region manifests is significantly lower than typical read rates. Region manifests are only updated when region metadata changes (MemTable flush, merge completion), not on every write. This ensures HEAD requests will eventually terminate and find the latest version. + This works because the write rate to region manifests is significantly lower than read rates. Region manifests are only updated when region metadata changes (MemTable flush, merge completion), not on every write. This ensures HEAD requests will eventually terminate and find the latest version. All region manifest versions are stored in `_mem_wal/{region_id}/manifest` directory. @@ -144,7 +166,7 @@ The region manifest is updated atomically in the following cases: |---------|----------------|---------| | [Initialization & Recovery](#initialization--recovery) | `writer_epoch` | Incremented when writer claims the region | | [MemTable Flush](#memtable-flush) | `replay_after_wal_id`, `wal_id_last_seen`, `current_generation`, `flushed_generations` | After flushing MemTable to storage | -| [Merge to Base Table](#merge-workflow) | `merged_generation`, `flushed_generations` | After merging a flushed MemTable; removes merged entry | +| [MemTable Merger](#merge-workflow) | `merged_generation`, `flushed_generations` | After merging a flushed MemTable; removes merged entry | | [MemWAL Index Builder](#memwal-index-builder) | `wal_id_last_seen` | Periodically scans WAL entries and updates hint | !!!note @@ -161,7 +183,7 @@ Here is a recap of the storage layout with all the files and concepts defined so {table_path}/ ├── _indices/ │ └── {index_uuid}/ # MemWAL Index (uses standard index storage) -│ └── regions.binpb # Serialized region snapshots (protobuf binary) +│ └── index.lance # Serialized region snapshots (Lance file) │ └── _mem_wal/ └── {region_uuid}/ # Region directory (UUID v4) @@ -189,18 +211,9 @@ The index stores its data in two parts: 1. **Index details** (`index_details` in `IndexMetadata`): Contains configuration, merge progress, and snapshot metadata 2. **Region snapshots**: Stored as a Lance file or inline, depending on region count -### Index Details Schema +### Index Details -The `index_details` field in `IndexMetadata` contains a `MemWalIndexDetails` protobuf message with: - -| Field | Type | Description | -|-------|------|-------------| -| `snapshot_timestamp` | int64 | When the index was built (Unix timestamp in seconds) | -| `num_regions` | uint32 | Number of regions in the snapshot | -| `inline_snapshots` | bytes | Inline snapshot data for small region counts (optional) | -| `region_specs` | repeated RegionSpec | Region specs defining how rows map to regions | -| `maintained_indexes` | repeated string | Index names to maintain in MemTables | -| `merged_generations` | repeated MergedGeneration | Last generation merged to base table per region | +The `index_details` field in `IndexMetadata` contains a `MemWalIndexDetails` protobuf message with the following key fields: **Configuration fields** (`region_specs`, `maintained_indexes`) are the source of truth for MemWAL configuration. Writers read these fields to determine how to partition data and which indexes to maintain. @@ -209,7 +222,7 @@ Writers read these fields to determine how to partition data and which indexes t This field is updated atomically with merge-insert data commits, enabling conflict resolution when multiple mergers operate concurrently. Each entry contains the region UUID and generation number. -**Region snapshot fields** (`snapshot_timestamp`, `num_regions`, `inline_snapshots`) provide a point-in-time snapshot of region states. +**Region snapshot fields** (`snapshot_ts_millis`, `num_regions`, `inline_snapshots`) provide a point-in-time snapshot of region states. The actual region manifests remain authoritative for region state. When `num_regions` is 0, the `inline_snapshots` field may be `None` or an empty Lance file with 0 rows but proper schema. @@ -251,22 +264,6 @@ Each region field has the following properties: | `expression` | A DataFusion SQL expression for custom logic, specify this or `transform` | | `result_type` | The output type of the region value | -#### Primary Key Constraint - -The `source_ids` across all region fields must include all primary key columns. -This ensures rows with the same primary key always map to the same region, which is required for correctness. - -If two regions contain rows with the same primary key, the following scenario can cause data corruption: - -1. Region A receives a write with primary key `pk=1` at time T1 -2. Region B receives a write with primary key `pk=1` at time T2 (T2 > T1) -3. The row in region B is merged into the base table first -4. The row in region A is merged into the base table second -5. The row from Region A (older) now overwrites the row from Region B (newer) - -This violates the expected "last write wins" semantics. -By ensuring each primary key is assigned to exactly one region via the region spec, merge order between regions becomes irrelevant for correctness. - #### Region Expression A **Region Expression** is a [DataFusion SQL expression](https://datafusion.apache.org/user-guide/sql/index.html) that derives a region value from source column(s). @@ -321,7 +318,7 @@ This keeps the index metadata compact while avoiding an additional file read for **External Lance file**: For large region counts, snapshots are stored as a Lance file at `_indices/{UUID}/index.lance`. This file uses standard Lance format with the region snapshot schema, enabling efficient columnar access and compression. -### Region Snapshot Schema +### Region Snapshot Arrow Schema Region snapshots are stored as a Lance file with one row per region. The schema has one column per `RegionManifest` field plus region spec columns: @@ -337,21 +334,16 @@ The schema has one column per `RegionManifest` field plus region spec columns: | `current_generation` | `uint64` | Next generation to flush | | `merged_generation` | `uint64` | Last generation merged to base | | `flushed_generations` | `list>` | Flushed MemTable paths | -| `region_values` | `struct<{field_id}: {result_type}, ...>` | Region field values from spec | - -This schema directly corresponds to the fields in the `RegionManifest` protobuf message plus the computed region values. +| `region_field_{field_id}` | varies | Region field value (one column per field in region spec) | -### Staleness Handling +For example, with a region spec containing a field `user_bucket` of type `int32`: -Since the index is eventually consistent, readers should handle stale data: - -- A flushed MemTable listed in `flushed_generations` may have been merged and garbage collected -- New flushed MemTables may exist that are not yet in `flushed_generations` -- WAL entries may have advanced beyond what the index shows - -The `snapshot_timestamp` field indicates when the index was built; readers can use this to estimate staleness and decide whether to refresh. +| Column | Type | Description | +|--------|------|-------------| +| ... | ... | (base columns above) | +| `region_field_user_bucket` | `int32` | Bucket value for this region | -For authoritative state, readers may load individual region manifests directly from `_mem_wal/{region_uuid}/manifest/`. +This schema directly corresponds to the fields in the `RegionManifest` protobuf message plus the computed region field values. ### Vector Index Configuration @@ -363,10 +355,12 @@ For each vector index on the base table, MemTable uses the same index type (IVF- This ensures distances are precise and comparable across generations. The base table vector index should not change the codebook once MemWAL is enabled. -To switch codebooks, a migration is required: create another vector index with the new codebook, configure MemTable to maintain both indexes, and eventually drop the old index after all data has been merged with the new codebook. +To switch codebooks, a migration is required: create another vector index with the new codebook, configure MemTable to maintain both indexes, and eventually drop the old index after all readers are using the new codebook and all MemTables have indexes using the new codebook. ## Writer Expectations +A writer operates on a single region within a single process and may spawn asynchronous tasks for background operations like WAL flush and MemTable flush. + ### Writer Configuration Writers can be configured with the following options that affect write behavior: @@ -387,11 +381,11 @@ Writer operations can be categorized by their synchronous or asynchronous nature | Operation | Mode | Description | |-----------|------|-------------| -| Write to MemTable | Synchronous | Data inserted into in-memory fragments | -| WAL Flush | Configurable | Synchronous with durable writes, asynchronous otherwise | -| Index Update | Configurable | Synchronous with indexed writes, asynchronous otherwise | -| MemTable Flush | Asynchronous | Triggered by thresholds, runs in background | -| Merge to Base Table | Asynchronous | Background job merges flushed MemTables | +| [Initialization & Recovery](#initialization--recovery) | Synchronous | Claims region and replays WAL entries | +| [Write to MemTable](#write-operations) | Synchronous | Data inserted into in-memory fragments | +| [WAL Flush](#wal-flush) | Configurable | Synchronous with durable writes, asynchronous otherwise | +| [Index Update](#memtable-indexing) | Configurable | Synchronous with indexed writes, asynchronous otherwise | +| [MemTable Flush](#memtable-flush) | Asynchronous | Triggered by thresholds, runs in background | ### Initialization & Recovery @@ -402,9 +396,9 @@ A writer must claim a region before performing any write operations: 3. Atomically write a new manifest 4. If the write fails (another writer claimed the epoch), reload the manifest and retry with a higher epoch 5. After initialization, read WAL entries sequentially from `replay_after_wal_id + 1` until not found -6. Replay valid WAL entries (those with `writer_epoch` <= current epoch) to reconstruct the MemTable with 1:1 fragment mapping (each WAL entry becomes one MemTable fragment) +6. Replay valid WAL entries (those with `writer_epoch` <= current epoch) to reconstruct the MemTable with 1:1 [WAL fragment mapping](#wal-fragment-mapping-construction) (each WAL entry becomes one MemTable fragment) -After recovery, the writer tracks subsequent fragment mappings as new WAL flushes occur (see [WAL Flush](#wal-flush)). +After initialization, the writer updates the [WAL fragment mapping](#wal-fragment-mapping-construction) as new [WAL flushes](#wal-flush) occur. ### Write Operations @@ -430,7 +424,7 @@ WAL flush batches pending MemTable fragments into a single Lance data file: 4. Write the footer containing batched data file metadata and `writer_epoch` in schema metadata 5. Complete the WAL entry write atomically 6. Mark fragments as flushed in the MemTable -7. Record fragment mappings (MemTable fragment IDs in this batch -> WAL entry ID relative to last replay) for index remapping during [MemTable Flush](#memtable-flush) +7. Update the [WAL fragment mapping](#wal-fragment-mapping-construction) (MemTable fragment IDs in this batch -> WAL entry ID and positions) for index remapping during [MemTable Flush](#memtable-flush) !!!note The region manifest is **not** updated on every WAL flush. The `wal_id_last_seen` field is a hint that can be updated: @@ -468,6 +462,26 @@ When a MemTable is flushed to storage: 2. The primary key bloom filter is serialized to `bloom_filter.bin` in the generation directory 3. The in-memory index structures may be retained as a cache for readers in the same process +### WAL Fragment Mapping Construction + +The WAL fragment mapping tracks the correspondence between MemTable fragment IDs and WAL entry IDs. +This mapping is essential for remapping indexes during [MemTable flush](#memtable-flush), since indexes reference MemTable fragment IDs but the flushed MemTable references WAL entry IDs. + +The mapping is structured as: `MemTable fragment ID -> (WAL entry ID, position within entry)` + +Where: + +- **MemTable fragment ID**: The fragment's position in the MemTable (0-indexed within the current generation) +- **WAL entry ID**: The WAL entry containing this fragment's data (relative to `replay_after_wal_id`) +- **Position within entry**: The fragment's position within the WAL entry (since multiple fragments may be batched) + +The mapping is updated in two scenarios: + +1. **[Initialization & Recovery](#initialization--recovery)**: During WAL replay, each replayed WAL entry creates MemTable fragments with 1:1 mapping (one fragment per WAL entry, position 0) +2. **[WAL Flush](#wal-flush)**: After flushing pending fragments to a new WAL entry, the mapping records which MemTable fragments were written to which WAL entry and their positions + +During [MemTable flush](#memtable-flush), indexes are remapped by translating MemTable fragment IDs to the corresponding WAL entry references using this mapping. + ### MemTable Flush Flushing the MemTable creates a new flushed MemTable (generation) with data and indexes: @@ -477,9 +491,9 @@ Flushing the MemTable creates a new flushed MemTable (generation) with data and 3. Identify WAL entries to include (from `replay_after_wal_id + 1` to the last flushed entry) 4. Create table manifest with `base_paths` pointing to the WAL directory 5. Add fragment entries referencing WAL files via `base_id` -6. Remap indexes using in-memory fragment mappings: +6. Remap indexes using the [WAL fragment mapping](#wal-fragment-mapping-construction): - Read index entries referencing MemTable fragment IDs - - Translate to flushed MemTable fragment IDs using mappings (MemTable fragment ID -> WAL entry ID relative to last replay) + - Translate to flushed MemTable fragment IDs using the mapping - Write remapped indexes to `_mem_wal/{region_uuid}/{random_hash}_gen_{current_generation}/_indices/` 7. Write the manifest to `_mem_wal/{region_uuid}/{random_hash}_gen_{current_generation}/_versions/{version}.manifest` (using [V2 naming scheme](transaction.md#manifest-naming-schemes)) 8. Update the region manifest: @@ -490,7 +504,7 @@ Flushing the MemTable creates a new flushed MemTable (generation) with data and The random prefix ensures that flush retries write to a new directory, avoiding conflicts with partially written files from failed attempts. Only the directory recorded in `flushed_generations` is considered valid. -If the writer crashes before completing MemTable flush, the new writer replays WAL entries into memory with 1:1 fragment mapping, rebuilds the in-memory indexes, and can then perform a fresh MemTable flush with a new random prefix. +If the writer crashes before completing MemTable flush, the new writer replays WAL entries into memory with 1:1 [WAL fragment mapping](#wal-fragment-mapping-construction), rebuilds the in-memory indexes, and can then perform a fresh MemTable flush with a new random prefix. ### Writer Fencing @@ -507,7 +521,7 @@ For a concrete example of fencing between two writers, see [Appendix 1: Writer F Background jobs run independently from writers and handle asynchronous maintenance tasks. -### Merge to Base Table +### MemTable Merger Flushed MemTables are merged to the base table in generation order using Lance's merge-insert operation. @@ -520,32 +534,23 @@ Flushed MemTables are merged to the base table in generation order using Lance's - Open it as a Lance table - Execute merge-insert into the base table, atomically updating the MemWAL Index: - Set `merged_generations[region_id]` to this generation - - On commit conflict, apply [conflict resolution rules](#merge-commit-conflict-resolution) + - On commit conflict, apply [conflict resolution rules](#conflict-resolution-and-concurrency) - On successful commit, update the region manifest: set `merged_generation` to this generation and remove the entry from `flushed_generations` - If the region manifest update fails, continue to the next generation (MemWAL Index is authoritative) -4. After merge, the flushed MemTable and its referenced WAL files may be garbage collected (see [Garbage Collection](#garbage-collection)) +4. After merge, the flushed MemTable and its referenced WAL files may be garbage collected (see [Garbage Collector](#garbage-collector)) Ordered merge ensures correct upsert semantics: flushed MemTables with higher generation numbers overwrite those with lower numbers. -#### Merge Commit Conflict Resolution - -When a merge-insert commit to the base table encounters a version conflict, the merger reads the conflicting commit's MemWAL Index: - -- **Incompatible conflict**: If the conflicting commit's `merged_generations[region_id] >= my_generation`, abort without retry. The data is either already merged (same generation) or superseded (higher generation). -- **Compatible conflict**: Otherwise, retry the commit as normal. - -After aborting due to an incompatible conflict, reload the MemWAL Index and region manifest, then continue to the next unmerged generation. - -This conflict resolution prevents redundant work and ensures mergers don't regress the merge progress. - -#### Concurrent Mergers and Idempotency +#### Conflict Resolution and Concurrency Multiple mergers may operate on the same region concurrently. This is safe due to: 1. **Atomic MemWAL Index update**: The `merged_generations` in MemWAL Index is updated atomically with the data commit -2. **Conflict resolution**: Incompatible commits (same region, higher/equal generation) cause abort, not retry +2. **Conflict resolution**: When a merge-insert commit encounters a version conflict, the merger reads the conflicting commit's MemWAL Index. If `merged_generations[region_id] >= my_generation`, abort without retry (data already merged or superseded). Otherwise, retry the commit as normal. 3. **Merge-insert idempotency**: If two mergers merge the same generation before either commits, both write identical data (primary key upsert semantics) +After aborting due to a conflict, reload the MemWAL Index and region manifest, then continue to the next unmerged generation. + If a merger crashes after committing to the base table but before updating the region manifest: - The MemWAL Index has `merged_generations[region_id] = N` @@ -567,7 +572,7 @@ A background process periodically builds a new region snapshot: 3. For each region: - Load the region manifest - Scan WAL entries sequentially to find the actual last entry ID - - If the observed WAL ID is greater than `wal_id_last_seen`, update the region manifest + - If the observed WAL ID is greater than `wal_id_last_seen`, update the region manifest (ignore errors since this is best-effort) - Copy manifest fields (including `flushed_generations`) into a region snapshot row 4. Determine storage strategy based on region count: - If `num_regions <= threshold`: Serialize as Lance file bytes to `inline_snapshots` @@ -582,21 +587,9 @@ This process serves two purposes: The build frequency is implementation-defined. More frequent builds reduce staleness but increase I/O overhead. -#### Configuration Updates - -To update MemWAL configuration (add/remove region specs or maintained indexes): - -1. Load the existing MemWAL Index -2. Modify the configuration fields (`region_specs`, `maintained_indexes`) -3. Keep the existing `merged_generations` and region snapshots (or rebuild snapshots) -4. Write the new index with updated configuration -5. Update the table manifest with the new index metadata - -Configuration changes are versioned with the table manifest, ensuring writers and readers see consistent configuration for each table version. - -### Garbage Collection +### Garbage Collector -Garbage collection removes obsolete data from the region directory. This is a file-only operation that does not update the region manifest. +The garbage collector removes obsolete data from the region directory. This is a file-only operation that does not update the region manifest. Eligible for deletion: @@ -613,14 +606,43 @@ Garbage collection must verify that no flushed MemTable still references a WAL f ### Reader Consistency -Reader consistency depends on two factors: access to in-memory MemTables and the source of region metadata. +Reader consistency depends on two factors: + +1. access to in-memory MemTables +2. the source of region metadata (either through MemWAL index or region manifests) Strong consistency requires access to in-memory MemTables for all regions involved in the query and reading region manifests directly. Otherwise, the query is eventually consistent due to missing unflushed data or stale MemWAL Index snapshots. -### Region Pruning +Reading a stale MemWAL Index does not impact correctness, only freshness: + +- **Merged MemTable**: If a flushed MemTable has been merged to the base table but not yet garbage collected, readers query both. Deduplication by primary key ensures correct results since both contain the same data. If the MemTable has been garbage collected, readers fail to open it, which is also safe because the data already exists in the base table. +- **Stale snapshot**: The snapshot may not reflect the latest region manifest state. Flushed MemTables added after the snapshot was built are not queried. The result is eventually consistent but correct for the snapshot's point in time. + +The `snapshot_ts_millis` field indicates when the index was built; readers can use this to estimate staleness and decide whether to refresh. +For stronger consistency, readers may load individual region manifests directly from `_mem_wal/{region_uuid}/manifest/`. + +### Query Planning + +#### MemTable Collection -Before executing queries, the planner evaluates filter predicates against region specs to determine which regions may contain matching data. +The query planner collects datasets from multiple sources and assembles them for unified query execution. +Datasets come from: + +1. base table (representing already-merged data) +2. flushed MemTables (persisted but not yet merged) +3. optionally in-memory MemTables (if accessible). + +Each dataset is tagged with a generation number: -1 for the base table, and positive integers for MemTable generations. +Within a region, the generation number determines data freshness, with higher numbers representing newer data. +Rows from different regions do not need deduplication since each primary key maps to exactly one region. + +The planner also collects bloom filters from each generation for staleness detection during search queries. + +#### Region Pruning + +Before executing queries, if region spec is available, +the planner evaluates filter predicates against region specs to determine which regions may contain matching data. This pruning step reduces the number of regions to scan. For each filter predicate: @@ -637,17 +659,6 @@ For example, with a region spec using `bucket(user_id, 10)` and a filter `user_i Region pruning applies to both scan queries and prefilters in search queries. -### Query Planning - -The query planner collects datasets from multiple sources and assembles them for unified query execution. -Datasets come from the base table (representing already-merged data), flushed MemTables (persisted but not yet merged), and optionally in-memory MemTables (if accessible). - -Each dataset is tagged with a generation number: -1 for the base table, and positive integers for MemTable generations. -Within a region, the generation number determines data freshness, with higher numbers representing newer data. -Rows from different regions do not need deduplication since each primary key maps to exactly one region. - -The planner also collects bloom filters from each generation for staleness detection during search queries. - ### Query Execution Query execution unions datasets within each region and deduplicates by primary key. @@ -670,7 +681,116 @@ Staleness filtering uses bloom filters similar to vector search. For point lookups, the planner can short-circuit by checking newest generations first and returning immediately when the key is found. -For detailed query plan examples, see [Appendix 3: Query Execution Examples](#appendix-3-query-execution-examples). +### Expected Query Plans + +This section provides query plan expectations using custom execution nodes optimized for MemWAL's data model. +See [Appendix 3: Execution Nodes](#appendix-3-execution-nodes) for detailed node descriptions. + +All query plans assume the following MemWAL setup: + +``` +base_table: shared across all regions (gen -1) + +region_A: + gen 1: flushed_gen_1 + gen 2: in_memory_memtable + +region_B: + gen 1: flushed_gen_1 + gen 2: flushed_gen_2 + gen 3: in_memory_memtable +``` + +#### Scan Queries + +For scan queries, the base table is scanned once and each region's MemTables are scanned separately. +Deduplication happens per primary key across all generations. + +``` +DeduplicateExec: partition_by=[pk], order_by=[_gen DESC, _rowaddr DESC] + UnionExec + # Base table (shared) + ScanExec: base_table[gen=-1], filter=[pushed_down] + # Region A MemTables + ScanExec: region_A[gen=2], filter=[pushed_down] + ScanExec: region_A[gen=1], filter=[pushed_down] + # Region B MemTables + ScanExec: region_B[gen=3], filter=[pushed_down] + ScanExec: region_B[gen=2], filter=[pushed_down] + ScanExec: region_B[gen=1], filter=[pushed_down] +``` + +Existing Lance index optimizations (scalar indexes, fragment pruning, etc.) continue to apply within each scan. + +#### Point Lookups + +Primary key-based point lookups first determine the target region using the region spec, then short-circuit by checking newest generations first within that region, falling back to the base table. + +Bloom filters optimize point lookups by skipping generations that definitely don't contain the key: + +1. Check the bloom filter for each MemTable generation (newest first) +2. If the bloom filter returns negative, skip that generation (key definitely not present) +3. If the bloom filter returns positive, try to take last matching row of that generation +4. If the key is found, return immediately without checking older generations + +``` +# After region pruning: only region_A needs to be checked +# Bloom filters checked before each scan to skip unnecessary I/O +CoalesceFirstExec: return_first_non_null + BloomFilterGuard: bf[region_A][gen=2] + TakeLast: region_A[gen=2], filter=[pk = target] + BloomFilterGuard: bf[region_A][gen=1] + TakeLast: region_A[gen=1], filter=[pk = target] + TakeLast: base_table[gen=-1], filter=[pk = target] +``` + +Existing Lance index optimizations (scalar indexes, fragment pruning, etc.) continue to apply within each lookup. + +#### Vector Search Queries + +Vector search uses bloom filters to detect stale results across all generations. + +``` +GlobalLimitExec: limit=k + SortExec: order_by=[_dist ASC] + FilterStaleExec: bloom_filters=[bf[region_A][gen=2], bf[region_A][gen=1], bf[region_B][gen=3], bf[region_B][gen=2], bf[region_B][gen=1]] + UnionExec + # Base table (shared) + KNNExec: base_table[gen=-1], k=k + # Region A MemTables + KNNExec: region_A[gen=2], k=k + KNNExec: region_A[gen=1], k=k + # Region B MemTables + KNNExec: region_B[gen=3], k=k + KNNExec: region_B[gen=2], k=k + KNNExec: region_B[gen=1], k=k +``` + +For each candidate from generation G, `FilterStaleExec` checks if the primary key exists in bloom filters of generations > G. +If found, the candidate is filtered out because a newer version exists that was not as relevant to the query. + +#### Full-Text Search Queries + +Full-text search aggregates corpus statistics across all generations for globally-comparable BM25 scores. + +``` +GlobalLimitExec: limit=k + SortExec: order_by=[_bm25 DESC] + FilterStaleExec: bloom_filters=[bf[region_A][gen=2], bf[region_A][gen=1], bf[region_B][gen=3], bf[region_B][gen=2], bf[region_B][gen=1]] + GlobalBM25Exec # Aggregates stats across all generations + UnionExec + # Base table (shared) + FTSExec: base_table[gen=-1], query="search terms" + # Region A MemTables + FTSExec: region_A[gen=2], query="search terms" + FTSExec: region_A[gen=1], query="search terms" + # Region B MemTables + FTSExec: region_B[gen=3], query="search terms" + FTSExec: region_B[gen=2], query="search terms" + FTSExec: region_B[gen=1], query="search terms" +``` + +`GlobalBM25Exec` collects document counts and term frequencies from all FTS indexes, computes global BM25 parameters, and passes them to each `FTSExec` for comparable scoring. ## Appendices @@ -792,118 +912,7 @@ The MemWAL Index is authoritative. Even though the region manifest was stale, Me 4. **No progress regression**: Because MemWAL Index is updated atomically with data, concurrent mergers cannot regress the merge progress. -### Appendix 3: Query Execution Examples - -This appendix provides query plan examples using custom execution nodes optimized for MemWAL's data model. -See [Appendix 4: Execution Nodes](#appendix-4-execution-nodes) for detailed node descriptions. - -All examples assume multiple regions with datasets organized as: - -``` -region_A: - gen -1: base_table (rows with region_A's pk range) - gen 1: flushed_gen_1 - gen 2: in_memory_memtable - -region_B: - gen -1: base_table (rows with region_B's pk range) - gen 1: flushed_gen_1 - gen 2: flushed_gen_2 - gen 3: in_memory_memtable -``` - -#### Scan Queries - -For scan queries, each region is processed independently since primary keys don't overlap between regions. - -``` -UnionExec # Union results from all regions - # Region A - DeduplicateExec: partition_by=[pk], order_by=[_gen DESC, _rowaddr DESC] - UnionExec - ScanExec: region_A[gen=2], filter=[pushed_down] - ScanExec: region_A[gen=1], filter=[pushed_down] - ScanExec: region_A[gen=-1], filter=[pushed_down] - # Region B - DeduplicateExec: partition_by=[pk], order_by=[_gen DESC, _rowaddr DESC] - UnionExec - ScanExec: region_B[gen=3], filter=[pushed_down] - ScanExec: region_B[gen=2], filter=[pushed_down] - ScanExec: region_B[gen=1], filter=[pushed_down] - ScanExec: region_B[gen=-1], filter=[pushed_down] -``` - -#### Vector Search Queries - -Vector search uses bloom filters to detect stale results across generations within each region. - -``` -GlobalLimitExec: limit=k - SortExec: order_by=[_dist ASC] - UnionExec # Union results from all regions - # Region A - FilterStaleExec: bloom_filters=[bf[gen=2], bf[gen=1]] - UnionExec - KNNExec: region_A[gen=2], k=k*overfetch - KNNExec: region_A[gen=1], k=k*overfetch - KNNExec: region_A[gen=-1], k=k*overfetch - # Region B - FilterStaleExec: bloom_filters=[bf[gen=3], bf[gen=2], bf[gen=1]] - UnionExec - KNNExec: region_B[gen=3], k=k*overfetch - KNNExec: region_B[gen=2], k=k*overfetch - KNNExec: region_B[gen=1], k=k*overfetch - KNNExec: region_B[gen=-1], k=k*overfetch -``` - -For each candidate from generation G, `FilterStaleExec` checks if the primary key exists in bloom filters of generations > G. -If found, the candidate is filtered out because a newer version exists that was not as relevant to the query. - -#### Full-Text Search Queries - -Full-text search aggregates corpus statistics across generations for globally-comparable BM25 scores. - -``` -GlobalLimitExec: limit=k - SortExec: order_by=[_bm25 DESC] - UnionExec # Union results from all regions - # Region A - FilterStaleExec: bloom_filters=[bf[gen=2], bf[gen=1]] - GlobalBM25Exec # Aggregates stats across region A generations - UnionExec - FTSExec: region_A[gen=2], query="search terms" - FTSExec: region_A[gen=1], query="search terms" - FTSExec: region_A[gen=-1], query="search terms" - # Region B - FilterStaleExec: bloom_filters=[bf[gen=3], bf[gen=2], bf[gen=1]] - GlobalBM25Exec # Aggregates stats across region B generations - UnionExec - FTSExec: region_B[gen=3], query="search terms" - FTSExec: region_B[gen=2], query="search terms" - FTSExec: region_B[gen=1], query="search terms" - FTSExec: region_B[gen=-1], query="search terms" -``` - -`GlobalBM25Exec` collects document counts and term frequencies from all FTS indexes within the region, computes global BM25 parameters, and passes them to each `FTSExec` for comparable scoring. - -#### Point Lookups - -Point lookups first determine the target region using the region spec, then short-circuit by checking newest generations first. - -``` -# After region pruning: only region_A needs to be checked -CoalesceFirstExec: return_first_non_null - TakeLastExec: - ScanExec: region_A[gen=2], filter=[pk = target] - TakeLastExec: - ScanExec: region_A[gen=1], filter=[pk = target] - TakeLastExec: - ScanExec: region_A[gen=-1], filter=[pk = target] -``` - -Point lookups terminate early once the key is found. - -### Appendix 4: Execution Nodes +### Appendix 3: Execution Nodes This appendix describes custom execution nodes for MemWAL query execution. @@ -912,9 +921,12 @@ This appendix describes custom execution nodes for MemWAL query execution. Deduplicates rows by primary key, keeping the row with highest `(_gen, _rowaddr)`. Since each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`, this can be implemented as a streaming operator without full materialization. -#### TakeLastExec +#### TakeLast -Takes the last row from an ordered input stream using O(1) memory. +Efficiently finds the last matching row for a filter predicate without full scan. +If the primary key has a btree index, directly queries the btree to get the result. +Otherwise, scans fragments in reverse order and within each fragment takes the last matching row. +Returns immediately upon finding a match, avoiding unnecessary I/O on earlier fragments. #### CoalesceFirstExec @@ -927,3 +939,11 @@ Filters out rows that have a newer version in a higher generation. For each candidate with primary key `pk` from generation G, checks bloom filters of generations > G. If the bloom filter indicates the key may exist in a newer generation, the candidate is filtered out. False positives from bloom filters may cause some valid results to be filtered, but this is acceptable for search workloads where approximate results are expected. + +#### BloomFilterGuard + +Guards a child execution node with a bloom filter check. +Given a primary key, checks the bloom filter before executing the child node. +If the bloom filter returns negative (key definitely not present), returns empty without executing the child. +If the bloom filter returns positive (key may be present), executes the child node normally. +Used in point lookups to skip unnecessary scans of generations that don't contain the target key. diff --git a/docs/src/format/table/mem_wal_regional.png b/docs/src/format/table/mem_wal_regional.png deleted file mode 100644 index cea8eebdd652b1ccfef2d1acdb8cf33c58e26ddf..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 551389 zcmb4LcRbbm8!wTxWMyT960&8_GPBCc2qD`cdmp(f*&*2@S(({;l$lvZ$5v)YIyer8 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z@lypKFMTfz+;aQ6NmG%t4Zy~!TPw5qRc1oN=fOK}C-o}=-h(FO(cef|0dPvEpSvBs0qVIwB(GQx^24cFEVShRbqgH+aY^9k_u_irv+ zWO!hC`+?|~!~xZY2a^Ne5&N>QGR`O9fNt=&&x^mx8iu~ygX_F!fzT?71bC{_^J=8w2$zueP(k{3nBk`>h|T zjkmfE>z?#U@C`GI=0P!%cIQw}8x13c$;1~5L)Q(e3}=7*nh{j-K|eW9`c=(| zqL01J{TBieyXb4#5s=j_d%&Uzbn~&>sd*z;z@*-6B5t%|Qu@Ose|Sb?UX_l2aPdg% z9`)ddioW|i{l6SuoqVrcI3PI|{+zgI*~#xE52K5ZOeJ#rRQ#3XRT6Yt=2B76rW{|p zmf@nB6Q+-i^Eyk?UaymoO9}F;D=V^?EM|>J%dUK(h@A@|vU!T?U=rhPakhKHCOiu( z?yd>fe`7=u3uSLa*LyTcffTy^_UlM=@!Mflc?~DOeYd1y$~4Abl~V-`m>@NFJu%Oa zb%UL?%k!Sp+E&+^oLobbVab^Oi$CArQ2=4IA&y{ zfaPWtHh60&`e*Z}%W_rU`rduJjo2NU!If)$ttTub!4ixQlbO_Gv&F87LH`3AL*B~$SsQmSbcWpY!>t?w(N`V!7d z0nXto(@~k26-M8B_j>t9dmu()jc?`Du~zlL=!UddhaQ!U14Yx?DMfb?n`)g~w^GHC zB||5g-UOX!^HOrFSbXRQ*ra+V`zqrP2JG7ubm-}~tgpFx8t;z8cvO9e)=+Z$5}&c) z+a1>c~sT$8@{S{mP~d!-B2j!YCX-|FIkaVEn>6-B-OIb zRs1-kB7FIrC&G6g$k`sQZ$2BIa7fiQJzeUoT6NGm+sF0m#;yej=uLo0IMTj7%P!ik zuVuUFlt#1dgbmo)i>u1q^mb7IX)>IaaxV}FC@{*ZXVIXR-D34z*I~)xhkI_Vf8DZO zUB6OEJ~?EqAy^ML{VIF9x~^+~=-mS9s>= zU|He3xa-i-FLZoQt~ zEMXt;%<`j&vofLO#J|B!?yyLGzT#$fvg!2m@tgi;0pEsp$f0_hy5i_F+jGs6J6qWgproKX=26IRn*z1%JOd4t&%g-9R!(f?z z8j>eC+J8Gq`~mk%t-#GJiHcCbv9u6}RnGirDLYT7@~P59=m<}%Cuc+mzOYL&1#kAHJI^<7`eNd2tr(zY2pCE8XfBGyzaP0r*p)mc8Ebh0o`*i4!Gf?)6pGsf_ z{pJ61Q3oKKV_NAZKb0^@{us_b{j`r)QTYqDOb(vOzeSwY72)?wrv)yuaX|Uqca0Tzo9@H7KX$>W9H16o}M!-1WwPKd5F_9cg`ArK1_-Iy*~J5 Oj;@x$_S~(6Q~w8oee#X~ literal 0 HcmV?d00001 From 46e513c1b30292ba377aa7771125b72b7bdc1889 Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 00:16:51 -0800 Subject: [PATCH 4/9] docs: rename TakeLast and BloomFilterGuard to include Exec suffix Co-Authored-By: Claude Opus 4.5 --- docs/src/format/table/mem_wal.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/src/format/table/mem_wal.md b/docs/src/format/table/mem_wal.md index c8d514c171f..24d583021b0 100644 --- a/docs/src/format/table/mem_wal.md +++ b/docs/src/format/table/mem_wal.md @@ -737,11 +737,11 @@ Bloom filters optimize point lookups by skipping generations that definitely don # After region pruning: only region_A needs to be checked # Bloom filters checked before each scan to skip unnecessary I/O CoalesceFirstExec: return_first_non_null - BloomFilterGuard: bf[region_A][gen=2] - TakeLast: region_A[gen=2], filter=[pk = target] - BloomFilterGuard: bf[region_A][gen=1] - TakeLast: region_A[gen=1], filter=[pk = target] - TakeLast: base_table[gen=-1], filter=[pk = target] + BloomFilterGuardExec: bf[region_A][gen=2] + TakeLastExec: region_A[gen=2], filter=[pk = target] + BloomFilterGuardExec: bf[region_A][gen=1] + TakeLastExec: region_A[gen=1], filter=[pk = target] + TakeLastExec: base_table[gen=-1], filter=[pk = target] ``` Existing Lance index optimizations (scalar indexes, fragment pruning, etc.) continue to apply within each lookup. @@ -921,7 +921,7 @@ This appendix describes custom execution nodes for MemWAL query execution. Deduplicates rows by primary key, keeping the row with highest `(_gen, _rowaddr)`. Since each dataset has a fixed `_gen` and rows are naturally ordered by `_rowaddr`, this can be implemented as a streaming operator without full materialization. -#### TakeLast +#### TakeLastExec Efficiently finds the last matching row for a filter predicate without full scan. If the primary key has a btree index, directly queries the btree to get the result. @@ -940,7 +940,7 @@ For each candidate with primary key `pk` from generation G, checks bloom filters If the bloom filter indicates the key may exist in a newer generation, the candidate is filtered out. False positives from bloom filters may cause some valid results to be filtered, but this is acceptable for search workloads where approximate results are expected. -#### BloomFilterGuard +#### BloomFilterGuardExec Guards a child execution node with a bloom filter check. Given a primary key, checks the bloom filter before executing the child node. From 9136a774959e10c52b58d24680fba533ea386442 Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 01:00:55 -0800 Subject: [PATCH 5/9] feat: implement MemWAL conflict resolution for merged_generations - Replace RegionId struct with Uuid type alias for consistency - Rename snapshot_timestamp to snapshot_ts_millis per spec - Add conflict resolution between UpdateMemWalState and CreateIndex of MemWalIndex - Implement generation comparison: committed >= to_commit is non-retryable, committed < to_commit is retryable - Add rebase logic to merge merged_generations when CreateIndex rebases against UpdateMemWalState - Add comprehensive unit and integration tests for conflict scenarios Co-Authored-By: Jack Ye Co-Authored-By: Claude --- protos/table.proto | 4 +- rust/lance-index/src/mem_wal.rs | 109 ++-- rust/lance/src/index/mem_wal.rs | 310 ++++++++++- rust/lance/src/io/commit/conflict_resolver.rs | 498 +++++++++++++++--- 4 files changed, 774 insertions(+), 147 deletions(-) diff --git a/protos/table.proto b/protos/table.proto index 8c032803817..71ef98066e8 100644 --- a/protos/table.proto +++ b/protos/table.proto @@ -586,8 +586,8 @@ message MergedGeneration { // merged_generation: uint64 // flushed_generations: list> message MemWalIndexDetails { - // Snapshot timestamp (Unix timestamp in seconds). - int64 snapshot_timestamp = 1; + // Snapshot timestamp (Unix timestamp in milliseconds). + int64 snapshot_ts_millis = 1; // Number of regions in the snapshot. // Used to determine storage format without reading the snapshot data. diff --git a/rust/lance-index/src/mem_wal.rs b/rust/lance-index/src/mem_wal.rs index f80eb678e3a..ccc9cc3db0e 100644 --- a/rust/lance-index/src/mem_wal.rs +++ b/rust/lance-index/src/mem_wal.rs @@ -18,67 +18,8 @@ use crate::{Index, IndexType}; pub const MEM_WAL_INDEX_NAME: &str = "__lance_mem_wal"; -/// Region identifier (UUID v4). -#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)] -pub struct RegionId(pub Uuid); - -impl PartialOrd for RegionId { - fn partial_cmp(&self, other: &Self) -> Option { - Some(self.cmp(other)) - } -} - -impl Ord for RegionId { - fn cmp(&self, other: &Self) -> std::cmp::Ordering { - self.0.as_bytes().cmp(other.0.as_bytes()) - } -} - -impl DeepSizeOf for RegionId { - fn deep_size_of_children(&self, _context: &mut deepsize::Context) -> usize { - 0 // UUID is 16 bytes fixed size, no heap allocations - } -} - -impl RegionId { - pub fn new() -> Self { - Self(Uuid::new_v4()) - } - - pub fn from_uuid(uuid: Uuid) -> Self { - Self(uuid) - } -} - -impl Default for RegionId { - fn default() -> Self { - Self::new() - } -} - -impl From<&RegionId> for pb::Uuid { - fn from(region_id: &RegionId) -> Self { - Self { - uuid: region_id.0.as_bytes().to_vec(), - } - } -} - -impl TryFrom<&pb::Uuid> for RegionId { - type Error = Error; - - fn try_from(uuid: &pb::Uuid) -> lance_core::Result { - if uuid.uuid.len() != 16 { - return Err(Error::invalid_input( - format!("Invalid UUID length: {}", uuid.uuid.len()), - location!(), - )); - } - let mut bytes = [0u8; 16]; - bytes.copy_from_slice(&uuid.uuid); - Ok(Self(Uuid::from_bytes(bytes))) - } -} +/// Type alias for region identifier (UUID v4). +pub type RegionId = Uuid; /// A flushed MemTable generation and its storage location. #[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] @@ -106,14 +47,20 @@ impl From for FlushedGeneration { } /// A region's merged generation, used in MemWalIndexDetails. -#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Hash, Serialize, Deserialize, DeepSizeOf)] +#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Hash, Serialize, Deserialize)] pub struct MergedGeneration { - pub region_id: RegionId, + pub region_id: Uuid, pub generation: u64, } +impl DeepSizeOf for MergedGeneration { + fn deep_size_of_children(&self, _context: &mut deepsize::Context) -> usize { + 0 // UUID is 16 bytes fixed size, no heap allocations + } +} + impl MergedGeneration { - pub fn new(region_id: RegionId, generation: u64) -> Self { + pub fn new(region_id: Uuid, generation: u64) -> Self { Self { region_id, generation, @@ -124,7 +71,7 @@ impl MergedGeneration { impl From<&MergedGeneration> for pb::MergedGeneration { fn from(mg: &MergedGeneration) -> Self { Self { - region_id: Some(pb::Uuid::from(&mg.region_id)), + region_id: Some((&mg.region_id).into()), generation: mg.generation, } } @@ -134,11 +81,11 @@ impl TryFrom for MergedGeneration { type Error = Error; fn try_from(mg: pb::MergedGeneration) -> lance_core::Result { - let region_id = mg.region_id.as_ref().ok_or_else(|| { + let region_id = mg.region_id.as_ref().map(Uuid::try_from).ok_or_else(|| { Error::invalid_input("Missing region_id in MergedGeneration", location!()) - })?; + })??; Ok(Self { - region_id: RegionId::try_from(region_id)?, + region_id, generation: mg.generation, }) } @@ -146,9 +93,9 @@ impl TryFrom for MergedGeneration { /// Region manifest containing epoch-based fencing and WAL state. /// Each region has exactly one active writer at any time. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] pub struct RegionManifest { - pub region_id: RegionId, + pub region_id: Uuid, pub version: u64, pub region_spec_id: u32, pub writer_epoch: u64, @@ -159,10 +106,16 @@ pub struct RegionManifest { pub flushed_generations: Vec, } +impl DeepSizeOf for RegionManifest { + fn deep_size_of_children(&self, context: &mut deepsize::Context) -> usize { + self.flushed_generations.deep_size_of_children(context) + } +} + impl From<&RegionManifest> for pb::RegionManifest { fn from(rm: &RegionManifest) -> Self { Self { - region_id: Some(pb::Uuid::from(&rm.region_id)), + region_id: Some((&rm.region_id).into()), version: rm.version, region_spec_id: rm.region_spec_id, writer_epoch: rm.writer_epoch, @@ -179,11 +132,11 @@ impl TryFrom for RegionManifest { type Error = Error; fn try_from(rm: pb::RegionManifest) -> lance_core::Result { - let region_id = rm.region_id.as_ref().ok_or_else(|| { + let region_id = rm.region_id.as_ref().map(Uuid::try_from).ok_or_else(|| { Error::invalid_input("Missing region_id in RegionManifest", location!()) - })?; + })??; Ok(Self { - region_id: RegionId::try_from(region_id)?, + region_id, version: rm.version, region_spec_id: rm.region_spec_id, writer_epoch: rm.writer_epoch, @@ -265,7 +218,7 @@ impl From for RegionSpec { /// Index details for MemWAL Index, stored in IndexMetadata.index_details. #[derive(Debug, Clone, Default, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] pub struct MemWalIndexDetails { - pub snapshot_timestamp: i64, + pub snapshot_ts_millis: i64, pub num_regions: u32, pub inline_snapshots: Option>, pub region_specs: Vec, @@ -276,7 +229,7 @@ pub struct MemWalIndexDetails { impl From<&MemWalIndexDetails> for pb::MemWalIndexDetails { fn from(details: &MemWalIndexDetails) -> Self { Self { - snapshot_timestamp: details.snapshot_timestamp, + snapshot_ts_millis: details.snapshot_ts_millis, num_regions: details.num_regions, inline_snapshots: details.inline_snapshots.clone(), region_specs: details.region_specs.iter().map(|rs| rs.into()).collect(), @@ -295,7 +248,7 @@ impl TryFrom for MemWalIndexDetails { fn try_from(details: pb::MemWalIndexDetails) -> lance_core::Result { Ok(Self { - snapshot_timestamp: details.snapshot_timestamp, + snapshot_ts_millis: details.snapshot_ts_millis, num_regions: details.num_regions, inline_snapshots: details.inline_snapshots, region_specs: details @@ -324,7 +277,7 @@ impl MemWalIndex { Self { details } } - pub fn merged_generation_for_region(&self, region_id: &RegionId) -> Option { + pub fn merged_generation_for_region(&self, region_id: &Uuid) -> Option { self.details .merged_generations .iter() diff --git a/rust/lance/src/index/mem_wal.rs b/rust/lance/src/index/mem_wal.rs index 55a00b41d8a..6bc596dd42c 100644 --- a/rust/lance/src/index/mem_wal.rs +++ b/rust/lance/src/index/mem_wal.rs @@ -124,19 +124,317 @@ pub(crate) fn new_mem_wal_index_meta( #[cfg(test)] mod tests { use super::*; - use lance_index::mem_wal::RegionId; + + use std::sync::Arc; + + use arrow_array::{Int32Array, RecordBatch}; + use arrow_schema::{DataType, Field, Schema}; + use lance_index::DatasetIndexExt; + + use crate::dataset::transaction::{Operation, Transaction}; + use crate::dataset::{CommitBuilder, InsertBuilder, WriteParams}; + + async fn test_dataset() -> crate::Dataset { + let write_params = WriteParams { + max_rows_per_file: 10, + ..Default::default() + }; + let data = RecordBatch::try_new( + Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, true), + ])), + vec![ + Arc::new(Int32Array::from_iter_values(0..10_i32)), + Arc::new(Int32Array::from_iter_values(std::iter::repeat_n(0, 10))), + ], + ) + .unwrap(); + InsertBuilder::new("memory://test_mem_wal") + .with_params(&write_params) + .execute(vec![data]) + .await + .unwrap() + } + + /// Test that UpdateMemWalState with lower generation than committed fails without retry. + /// Per spec: If committed_generation >= to_commit_generation, abort without retry. + #[tokio::test] + async fn test_update_mem_wal_state_conflict_lower_generation_no_retry() { + let dataset = test_dataset().await; + let region = Uuid::new_v4(); + + // First commit UpdateMemWalState with generation 10 + let txn1 = Transaction::new( + dataset.manifest.version, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + let dataset = CommitBuilder::new(Arc::new(dataset)) + .execute(txn1) + .await + .unwrap(); + + // Try to commit UpdateMemWalState with generation 5 (lower than 10) + // This should fail with non-retryable conflict + let txn2 = Transaction::new( + dataset.manifest.version - 1, // Based on old version + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 5)], + }, + None, + ); + let result = CommitBuilder::new(Arc::new(dataset)).execute(txn2).await; + + assert!( + matches!(result, Err(crate::Error::CommitConflict { .. })), + "Expected non-retryable CommitConflict for lower generation, got {:?}", + result + ); + } + + /// Test that UpdateMemWalState with equal generation as committed fails without retry. + #[tokio::test] + async fn test_update_mem_wal_state_conflict_equal_generation_no_retry() { + let dataset = test_dataset().await; + let region = Uuid::new_v4(); + + // First commit UpdateMemWalState with generation 10 + let txn1 = Transaction::new( + dataset.manifest.version, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + let dataset = CommitBuilder::new(Arc::new(dataset)) + .execute(txn1) + .await + .unwrap(); + + // Try to commit UpdateMemWalState with generation 10 (equal) + let txn2 = Transaction::new( + dataset.manifest.version - 1, // Based on old version + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + let result = CommitBuilder::new(Arc::new(dataset)).execute(txn2).await; + + assert!( + matches!(result, Err(crate::Error::CommitConflict { .. })), + "Expected non-retryable CommitConflict for equal generation, got {:?}", + result + ); + } + + /// Test that UpdateMemWalState with higher generation than committed is retryable. + /// Per spec: If committed_generation < to_commit_generation, retry is allowed. + #[tokio::test] + async fn test_update_mem_wal_state_conflict_higher_generation_retryable() { + let dataset = test_dataset().await; + let region = Uuid::new_v4(); + + // First commit UpdateMemWalState with generation 5 + let txn1 = Transaction::new( + dataset.manifest.version, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 5)], + }, + None, + ); + let dataset = CommitBuilder::new(Arc::new(dataset)) + .execute(txn1) + .await + .unwrap(); + + // Try to commit UpdateMemWalState with generation 10 (higher than 5) + // This should fail with retryable conflict + let txn2 = Transaction::new( + dataset.manifest.version - 1, // Based on old version + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + let result = CommitBuilder::new(Arc::new(dataset)).execute(txn2).await; + + assert!( + matches!(result, Err(crate::Error::RetryableCommitConflict { .. })), + "Expected retryable conflict for higher generation, got {:?}", + result + ); + } + + /// Test that UpdateMemWalState on different regions don't conflict. + #[tokio::test] + async fn test_update_mem_wal_state_different_regions_no_conflict() { + let dataset = test_dataset().await; + let region1 = Uuid::new_v4(); + let region2 = Uuid::new_v4(); + + // First commit UpdateMemWalState for region1 + let txn1 = Transaction::new( + dataset.manifest.version, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region1, 10)], + }, + None, + ); + let dataset = CommitBuilder::new(Arc::new(dataset)) + .execute(txn1) + .await + .unwrap(); + + // Commit UpdateMemWalState for region2 based on old version + // This should succeed because different regions don't conflict + let txn2 = Transaction::new( + dataset.manifest.version - 1, // Based on old version + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region2, 5)], + }, + None, + ); + let result = CommitBuilder::new(Arc::new(dataset)).execute(txn2).await; + + assert!( + result.is_ok(), + "Expected success for different regions, got {:?}", + result + ); + + // Verify both regions are in the index + let dataset = result.unwrap(); + let mem_wal_idx = dataset + .load_indices() + .await + .unwrap() + .iter() + .find(|idx| idx.name == MEM_WAL_INDEX_NAME) + .unwrap() + .clone(); + let details = load_mem_wal_index_details(mem_wal_idx).unwrap(); + assert_eq!(details.merged_generations.len(), 2); + } + + /// Test that CreateIndex of MemWalIndex can be rebased against UpdateMemWalState. + /// The merged_generations from UpdateMemWalState should be merged into CreateIndex. + #[tokio::test] + async fn test_create_index_rebase_against_update_mem_wal_state() { + let dataset = test_dataset().await; + let region = Uuid::new_v4(); + + // First commit UpdateMemWalState with generation 10 + let txn1 = Transaction::new( + dataset.manifest.version, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + let dataset = CommitBuilder::new(Arc::new(dataset)) + .execute(txn1) + .await + .unwrap(); + + // CreateIndex of MemWalIndex based on old version (before UpdateMemWalState) + // This should succeed and merge the generations + let details = MemWalIndexDetails { + num_regions: 1, + ..Default::default() + }; + let mem_wal_index = new_mem_wal_index_meta(dataset.manifest.version - 1, details).unwrap(); + + let txn2 = Transaction::new( + dataset.manifest.version - 1, // Based on old version + Operation::CreateIndex { + new_indices: vec![mem_wal_index], + removed_indices: vec![], + }, + None, + ); + let result = CommitBuilder::new(Arc::new(dataset)).execute(txn2).await; + + assert!( + result.is_ok(), + "Expected CreateIndex to succeed with rebase, got {:?}", + result + ); + + // Verify the merged_generations from UpdateMemWalState were merged into CreateIndex + let dataset = result.unwrap(); + let mem_wal_idx = dataset + .load_indices() + .await + .unwrap() + .iter() + .find(|idx| idx.name == MEM_WAL_INDEX_NAME) + .unwrap() + .clone(); + let details = load_mem_wal_index_details(mem_wal_idx).unwrap(); + assert_eq!(details.merged_generations.len(), 1); + assert_eq!(details.merged_generations[0].region_id, region); + assert_eq!(details.merged_generations[0].generation, 10); + assert_eq!(details.num_regions, 1); // Config from CreateIndex preserved + } + + /// Test that UpdateMemWalState against CreateIndex of MemWalIndex checks generations. + #[tokio::test] + async fn test_update_mem_wal_state_against_create_index_lower_generation() { + let dataset = test_dataset().await; + let region = Uuid::new_v4(); + + // First commit CreateIndex of MemWalIndex with merged_generations + let details = MemWalIndexDetails { + merged_generations: vec![MergedGeneration::new(region, 10)], + ..Default::default() + }; + let mem_wal_index = new_mem_wal_index_meta(dataset.manifest.version, details).unwrap(); + + let txn1 = Transaction::new( + dataset.manifest.version, + Operation::CreateIndex { + new_indices: vec![mem_wal_index], + removed_indices: vec![], + }, + None, + ); + let dataset = CommitBuilder::new(Arc::new(dataset)) + .execute(txn1) + .await + .unwrap(); + + // Try UpdateMemWalState with lower generation + let txn2 = Transaction::new( + dataset.manifest.version - 1, // Based on old version + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 5)], + }, + None, + ); + let result = CommitBuilder::new(Arc::new(dataset)).execute(txn2).await; + + assert!( + matches!(result, Err(crate::Error::CommitConflict { .. })), + "Expected non-retryable CommitConflict when UpdateMemWalState generation is lower than CreateIndex, got {:?}", + result + ); + } #[test] fn test_update_merged_generations() { let mut indices = Vec::new(); - let region1 = RegionId::new(); - let region2 = RegionId::new(); + let region1 = Uuid::new_v4(); + let region2 = Uuid::new_v4(); // First update - creates new index update_mem_wal_index_merged_generations( &mut indices, 1, - vec![MergedGeneration::new(region1.clone(), 5)], + vec![MergedGeneration::new(region1, 5)], ) .unwrap(); @@ -150,7 +448,7 @@ mod tests { update_mem_wal_index_merged_generations( &mut indices, 2, - vec![MergedGeneration::new(region1.clone(), 10)], + vec![MergedGeneration::new(region1, 10)], ) .unwrap(); @@ -175,7 +473,7 @@ mod tests { update_mem_wal_index_merged_generations( &mut indices, 4, - vec![MergedGeneration::new(region1.clone(), 8)], // lower than 10 + vec![MergedGeneration::new(region1, 8)], // lower than 10 ) .unwrap(); diff --git a/rust/lance/src/io/commit/conflict_resolver.rs b/rust/lance/src/io/commit/conflict_resolver.rs index c09c5dbcd90..4e55bf674a5 100644 --- a/rust/lance/src/io/commit/conflict_resolver.rs +++ b/rust/lance/src/io/commit/conflict_resolver.rs @@ -2,6 +2,7 @@ // SPDX-FileCopyrightText: Copyright The Lance Authors use crate::index::frag_reuse::{build_frag_reuse_index_metadata, load_frag_reuse_index_details}; +use crate::index::mem_wal::{load_mem_wal_index_details, new_mem_wal_index_meta}; use crate::io::deletion::read_dataset_deletion_file; use crate::{ dataset::transaction::{Operation, Transaction}, @@ -13,7 +14,7 @@ use lance_core::{ Error, Result, }; use lance_index::frag_reuse::FRAG_REUSE_INDEX_NAME; -use lance_index::mem_wal::MergedGeneration; +use lance_index::mem_wal::{MergedGeneration, MEM_WAL_INDEX_NAME}; use lance_table::format::IndexMetadata; use lance_table::{format::Fragment, io::deletion::write_deletion_file}; use snafu::{location, Location}; @@ -33,6 +34,9 @@ pub struct TransactionRebase<'a> { modified_fragment_ids: HashSet, affected_rows: Option<&'a RowAddrTreeMap>, conflicting_frag_reuse_indices: Vec, + /// Merged generations from conflicting UpdateMemWalState transactions. + /// Used when rebasing CreateIndex of MemWalIndex. + conflicting_mem_wal_merged_gens: Vec, } impl<'a> TransactionRebase<'a> { @@ -58,6 +62,7 @@ impl<'a> TransactionRebase<'a> { initial_fragments: HashMap::new(), modified_fragment_ids: HashSet::new(), conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }), Operation::Delete { updated_fragments, @@ -85,6 +90,7 @@ impl<'a> TransactionRebase<'a> { modified_fragment_ids, affected_rows: None, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }); } @@ -97,6 +103,7 @@ impl<'a> TransactionRebase<'a> { initial_fragments, modified_fragment_ids, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }) } Operation::Rewrite { groups, .. } => { @@ -114,6 +121,7 @@ impl<'a> TransactionRebase<'a> { initial_fragments, modified_fragment_ids, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }) } Operation::DataReplacement { replacements } => { @@ -128,6 +136,7 @@ impl<'a> TransactionRebase<'a> { initial_fragments, modified_fragment_ids, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }) } Operation::Merge { fragments, .. } => { @@ -141,6 +150,7 @@ impl<'a> TransactionRebase<'a> { initial_fragments, modified_fragment_ids, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }) } } @@ -545,17 +555,25 @@ impl<'a> TransactionRebase<'a> { | Operation::Clone { .. } | Operation::UpdateBases { .. } => Ok(()), // Indices are identified by UUIDs, so they shouldn't conflict. - // unless it is the same frag reuse index + // unless it is the same frag reuse index or MemWAL index Operation::CreateIndex { new_indices: created_indices, .. } => { - if new_indices + let self_has_frag_reuse = new_indices .iter() - .any(|idx| idx.name == FRAG_REUSE_INDEX_NAME) - && created_indices - .iter() - .any(|idx| idx.name == FRAG_REUSE_INDEX_NAME) + .any(|idx| idx.name == FRAG_REUSE_INDEX_NAME); + let other_has_frag_reuse = created_indices + .iter() + .any(|idx| idx.name == FRAG_REUSE_INDEX_NAME); + let self_has_mem_wal = + new_indices.iter().any(|idx| idx.name == MEM_WAL_INDEX_NAME); + let other_has_mem_wal = created_indices + .iter() + .any(|idx| idx.name == MEM_WAL_INDEX_NAME); + + if (self_has_frag_reuse && other_has_frag_reuse) + || (self_has_mem_wal && other_has_mem_wal) { Err(self.retryable_conflict_err( other_transaction, @@ -657,13 +675,27 @@ impl<'a> TransactionRebase<'a> { } Ok(()) } - Operation::Overwrite { .. } - | Operation::Restore { .. } - | Operation::UpdateMemWalState { .. } => Err(self.incompatible_conflict_err( - other_transaction, - other_version, - location!(), - )), + Operation::UpdateMemWalState { + merged_generations: other_merged_gens, + } => { + // CreateIndex of MemWalIndex is compatible with UpdateMemWalState + // as they can be rebased on each other + if new_indices.iter().any(|idx| idx.name == MEM_WAL_INDEX_NAME) { + // Collect merged_generations from UpdateMemWalState for rebasing + self.conflicting_mem_wal_merged_gens + .extend(other_merged_gens.iter().cloned()); + Ok(()) + } else { + Err(self.incompatible_conflict_err( + other_transaction, + other_version, + location!(), + )) + } + } + Operation::Overwrite { .. } | Operation::Restore { .. } => Err( + self.incompatible_conflict_err(other_transaction, other_version, location!()) + ), } } else { Err(wrong_operation_err(&self.transaction.operation)) @@ -1226,9 +1258,28 @@ impl<'a> TransactionRebase<'a> { other_version, ) } + Operation::CreateIndex { new_indices, .. } => { + // Check if CreateIndex has a MemWalIndex with merged_generations + if let Some(mem_wal_idx) = new_indices + .iter() + .find(|idx| idx.name == MEM_WAL_INDEX_NAME) + { + if let Ok(details) = load_mem_wal_index_details(mem_wal_idx.clone()) { + self.check_merged_generations_conflict( + &details.merged_generations, + self_merged_generations, + other_transaction, + other_version, + ) + } else { + Ok(()) + } + } else { + Ok(()) + } + } Operation::UpdateConfig { .. } | Operation::Rewrite { .. } - | Operation::CreateIndex { .. } | Operation::ReserveFragments { .. } | Operation::UpdateBases { .. } => Ok(()), Operation::Append { .. } @@ -1312,12 +1363,22 @@ impl<'a> TransactionRebase<'a> { for committed_mg in committed { for to_commit_mg in to_commit { if committed_mg.region_id == to_commit_mg.region_id { - // Same region being updated - this is a conflict - return Err(self.retryable_conflict_err( - other_transaction, - other_version, - location!(), - )); + // Same region being updated + // If committed >= to_commit, data already merged or superseded - abort without retry + // If committed < to_commit, can retry with new state + if committed_mg.generation >= to_commit_mg.generation { + return Err(self.incompatible_conflict_err( + other_transaction, + other_version, + location!(), + )); + } else { + return Err(self.retryable_conflict_err( + other_transaction, + other_version, + location!(), + )); + } } } } @@ -1516,57 +1577,86 @@ impl<'a> TransactionRebase<'a> { async fn finish_create_index(mut self, dataset: &Dataset) -> Result { if let Operation::CreateIndex { new_indices, .. } = &mut self.transaction.operation { - if !new_indices + // Handle FRAG_REUSE_INDEX rebasing + let has_frag_reuse = new_indices .iter() - .any(|idx| idx.name == FRAG_REUSE_INDEX_NAME) - { - return Ok(self.transaction); - } - - if self.conflicting_frag_reuse_indices.is_empty() { - return Ok(self.transaction); - } + .any(|idx| idx.name == FRAG_REUSE_INDEX_NAME); + + if has_frag_reuse && !self.conflicting_frag_reuse_indices.is_empty() { + // had at least 1 previous rewrite conflict + // get the max reuse version from each run to be added to the cleaned up index + let mut max_versions = + Vec::with_capacity(self.conflicting_frag_reuse_indices.len()); + for committed_fri in &self.conflicting_frag_reuse_indices { + let committed_fri_details = Arc::try_unwrap( + load_frag_reuse_index_details(dataset, committed_fri) + .await + .unwrap(), + ) + .unwrap(); + let max_version = committed_fri_details + .versions + .into_iter() + .max_by_key(|v| v.dataset_version) + .unwrap(); + max_versions.push(max_version); + } - // had at least 1 previous rewrite conflict - // get the max reuse version from each run to be added to the cleaned up index - let mut max_versions = Vec::with_capacity(self.conflicting_frag_reuse_indices.len()); - for committed_fri in &self.conflicting_frag_reuse_indices { - let committed_fri_details = Arc::try_unwrap( - load_frag_reuse_index_details(dataset, committed_fri) + // there should be only 1 frag_reuse_index in new indices + let new_fri = &new_indices[0]; + let mut new_fri_details = Arc::try_unwrap( + load_frag_reuse_index_details(dataset, new_fri) .await .unwrap(), ) .unwrap(); - let max_version = committed_fri_details - .versions - .into_iter() - .max_by_key(|v| v.dataset_version) - .unwrap(); - max_versions.push(max_version); + new_fri_details.versions.extend(max_versions); + + let new_frag_bitmap = new_fri_details.new_frag_bitmap(); + + let new_frag_reuse_index_meta = build_frag_reuse_index_metadata( + dataset, + Some(new_fri), + new_fri_details, + new_frag_bitmap, + ) + .await?; + + new_indices.retain(|idx| idx.name != FRAG_REUSE_INDEX_NAME); + new_indices.push(new_frag_reuse_index_meta); } - // there should be only 1 frag_reuse_index in new indices - let new_fri = &new_indices[0]; - let mut new_fri_details = Arc::try_unwrap( - load_frag_reuse_index_details(dataset, new_fri) - .await - .unwrap(), - ) - .unwrap(); - new_fri_details.versions.extend(max_versions); + // Handle MEM_WAL_INDEX rebasing + let has_mem_wal = new_indices.iter().any(|idx| idx.name == MEM_WAL_INDEX_NAME); + + if has_mem_wal && !self.conflicting_mem_wal_merged_gens.is_empty() { + let pos = new_indices + .iter() + .position(|idx| idx.name == MEM_WAL_INDEX_NAME) + .unwrap(); - let new_frag_bitmap = new_fri_details.new_frag_bitmap(); + let current_meta = new_indices.remove(pos); + let mut details = load_mem_wal_index_details(current_meta)?; - let new_frag_reuse_index_meta = build_frag_reuse_index_metadata( - dataset, - Some(new_fri), - new_fri_details, - new_frag_bitmap, - ) - .await?; + // Merge conflicting merged_generations - for each region, keep higher generation + for new_mg in &self.conflicting_mem_wal_merged_gens { + if let Some(existing) = details + .merged_generations + .iter_mut() + .find(|mg| mg.region_id == new_mg.region_id) + { + if new_mg.generation > existing.generation { + existing.generation = new_mg.generation; + } + } else { + details.merged_generations.push(new_mg.clone()); + } + } + + let new_meta = new_mem_wal_index_meta(dataset.manifest.version, details)?; + new_indices.push(new_meta); + } - new_indices.retain(|idx| idx.name != FRAG_REUSE_INDEX_NAME); - new_indices.push(new_frag_reuse_index_meta); Ok(self.transaction) } else { Err(wrong_operation_err(&self.transaction.operation)) @@ -1701,6 +1791,7 @@ mod tests { use lance_core::Error; use lance_file::version::LanceFileVersion; use lance_io::assert_io_eq; + use uuid::Uuid; use lance_table::format::IndexMetadata; use lance_table::io::deletion::{deletion_file_path, read_deletion_file}; @@ -2622,6 +2713,7 @@ mod tests { modified_fragment_ids: modified_fragment_ids(operation).collect::>(), affected_rows: None, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }; for (other, expected_conflict) in other_transactions.iter().zip(expected_conflicts) { @@ -3142,6 +3234,7 @@ mod tests { modified_fragment_ids: modified_fragment_ids(&op1).collect::>(), affected_rows: None, conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), }; let result = rebase.check_txn(&txn2, 1); @@ -3173,4 +3266,287 @@ mod tests { } } } + + #[test] + fn test_merged_generations_conflict_lower_generation_fails() { + // Test: committed generation >= to_commit generation should be incompatible (no retry) + let region = Uuid::new_v4(); + + // Committed has generation 10, we're trying to commit generation 5 + let committed_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + + let to_commit_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 5)], + }, + None, + ); + + let mut rebase = TransactionRebase { + transaction: to_commit_txn, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + let result = rebase.check_txn(&committed_txn, 1); + assert!( + matches!(result, Err(Error::CommitConflict { .. })), + "Expected non-retryable CommitConflict for lower generation, got {:?}", + result + ); + } + + #[test] + fn test_merged_generations_conflict_equal_generation_fails() { + // Test: committed generation == to_commit generation should be incompatible (no retry) + let region = Uuid::new_v4(); + + let committed_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + + let to_commit_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + + let mut rebase = TransactionRebase { + transaction: to_commit_txn, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + let result = rebase.check_txn(&committed_txn, 1); + assert!( + matches!(result, Err(Error::CommitConflict { .. })), + "Expected non-retryable CommitConflict for equal generation, got {:?}", + result + ); + } + + #[test] + fn test_merged_generations_conflict_higher_generation_retryable() { + // Test: committed generation < to_commit generation should be retryable + let region = Uuid::new_v4(); + + // Committed has generation 5, we're trying to commit generation 10 + let committed_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 5)], + }, + None, + ); + + let to_commit_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + + let mut rebase = TransactionRebase { + transaction: to_commit_txn, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + let result = rebase.check_txn(&committed_txn, 1); + assert!( + matches!(result, Err(Error::RetryableCommitConflict { .. })), + "Expected retryable conflict for higher generation, got {:?}", + result + ); + } + + #[test] + fn test_merged_generations_different_regions_ok() { + // Test: different regions should not conflict + let region1 = Uuid::new_v4(); + let region2 = Uuid::new_v4(); + + let committed_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region1, 10)], + }, + None, + ); + + let to_commit_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region2, 5)], + }, + None, + ); + + let mut rebase = TransactionRebase { + transaction: to_commit_txn, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + let result = rebase.check_txn(&committed_txn, 1); + assert!( + result.is_ok(), + "Expected OK for different regions, got {:?}", + result + ); + } + + #[test] + fn test_update_mem_wal_state_vs_create_index_with_merged_generations() { + use crate::index::mem_wal::new_mem_wal_index_meta; + use lance_index::mem_wal::MemWalIndexDetails; + + let region = Uuid::new_v4(); + + // Create a MemWalIndex with merged_generations + let details = MemWalIndexDetails { + merged_generations: vec![MergedGeneration::new(region, 10)], + ..Default::default() + }; + let mem_wal_index = new_mem_wal_index_meta(1, details).unwrap(); + + // CreateIndex with MemWalIndex that has generation 10 + let committed_txn = Transaction::new( + 0, + Operation::CreateIndex { + new_indices: vec![mem_wal_index], + removed_indices: vec![], + }, + None, + ); + + // UpdateMemWalState trying to set generation 5 (lower than committed) + let to_commit_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 5)], + }, + None, + ); + + let mut rebase = TransactionRebase { + transaction: to_commit_txn, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + let result = rebase.check_txn(&committed_txn, 1); + assert!( + matches!(result, Err(Error::CommitConflict { .. })), + "Expected non-retryable CommitConflict when UpdateMemWalState generation is lower than CreateIndex, got {:?}", + result + ); + + // Now test with higher generation (should be retryable) + let to_commit_txn_higher = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 15)], + }, + None, + ); + + let mut rebase_higher = TransactionRebase { + transaction: to_commit_txn_higher, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + let result_higher = rebase_higher.check_txn(&committed_txn, 1); + assert!( + matches!(result_higher, Err(Error::RetryableCommitConflict { .. })), + "Expected retryable conflict when UpdateMemWalState generation is higher than CreateIndex, got {:?}", + result_higher + ); + } + + #[test] + fn test_create_index_vs_update_mem_wal_state_rebase() { + use crate::index::mem_wal::new_mem_wal_index_meta; + use lance_index::mem_wal::MemWalIndexDetails; + + let region = Uuid::new_v4(); + + // CreateIndex with MemWalIndex (no merged_generations initially) + let details = MemWalIndexDetails::default(); + let mem_wal_index = new_mem_wal_index_meta(1, details).unwrap(); + + let to_commit_txn = Transaction::new( + 0, + Operation::CreateIndex { + new_indices: vec![mem_wal_index], + removed_indices: vec![], + }, + None, + ); + + // UpdateMemWalState with generation 10 + let committed_txn = Transaction::new( + 0, + Operation::UpdateMemWalState { + merged_generations: vec![MergedGeneration::new(region, 10)], + }, + None, + ); + + let mut rebase = TransactionRebase { + transaction: to_commit_txn, + initial_fragments: HashMap::new(), + modified_fragment_ids: HashSet::new(), + affected_rows: None, + conflicting_frag_reuse_indices: Vec::new(), + conflicting_mem_wal_merged_gens: Vec::new(), + }; + + // CreateIndex of MemWalIndex should be compatible with UpdateMemWalState + // and should collect the merged_generations for rebasing + let result = rebase.check_txn(&committed_txn, 1); + assert!( + result.is_ok(), + "Expected OK for CreateIndex vs UpdateMemWalState, got {:?}", + result + ); + + // Verify that merged_generations were collected + assert_eq!(rebase.conflicting_mem_wal_merged_gens.len(), 1); + assert_eq!(rebase.conflicting_mem_wal_merged_gens[0].region_id, region); + assert_eq!(rebase.conflicting_mem_wal_merged_gens[0].generation, 10); + } } From c432641be1be07bac129ed945b4881df6559c7ec Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 01:07:15 -0800 Subject: [PATCH 6/9] fix: propagate errors and avoid unnecessary clones in conflict resolver - Propagate load_mem_wal_index_details errors instead of silently returning Ok - Consume conflicting_mem_wal_merged_gens directly to avoid clone Co-Authored-By: Jack Ye Co-Authored-By: Claude --- rust/lance/src/io/commit/conflict_resolver.rs | 22 +++++++++---------- 1 file changed, 10 insertions(+), 12 deletions(-) diff --git a/rust/lance/src/io/commit/conflict_resolver.rs b/rust/lance/src/io/commit/conflict_resolver.rs index 4e55bf674a5..f65d7047923 100644 --- a/rust/lance/src/io/commit/conflict_resolver.rs +++ b/rust/lance/src/io/commit/conflict_resolver.rs @@ -1264,16 +1264,13 @@ impl<'a> TransactionRebase<'a> { .iter() .find(|idx| idx.name == MEM_WAL_INDEX_NAME) { - if let Ok(details) = load_mem_wal_index_details(mem_wal_idx.clone()) { - self.check_merged_generations_conflict( - &details.merged_generations, - self_merged_generations, - other_transaction, - other_version, - ) - } else { - Ok(()) - } + let details = load_mem_wal_index_details(mem_wal_idx.clone())?; + self.check_merged_generations_conflict( + &details.merged_generations, + self_merged_generations, + other_transaction, + other_version, + ) } else { Ok(()) } @@ -1639,7 +1636,8 @@ impl<'a> TransactionRebase<'a> { let mut details = load_mem_wal_index_details(current_meta)?; // Merge conflicting merged_generations - for each region, keep higher generation - for new_mg in &self.conflicting_mem_wal_merged_gens { + // We own self so we can consume conflicting_mem_wal_merged_gens directly + for new_mg in self.conflicting_mem_wal_merged_gens { if let Some(existing) = details .merged_generations .iter_mut() @@ -1649,7 +1647,7 @@ impl<'a> TransactionRebase<'a> { existing.generation = new_mg.generation; } } else { - details.merged_generations.push(new_mg.clone()); + details.merged_generations.push(new_mg); } } From 8ac75e3f3144d4ea544b3b2ad7476ed2f5640a8f Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 10:23:34 -0800 Subject: [PATCH 7/9] fix: update Python and Java bindings for merged_generations field rename Update Operation::Update field from mem_wal_to_merge to merged_generations. Co-Authored-By: Jack Ye Co-Authored-By: Claude --- java/lance-jni/src/transaction.rs | 4 ++-- python/src/transaction.rs | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/java/lance-jni/src/transaction.rs b/java/lance-jni/src/transaction.rs index c80ef36bffa..59ca0d36eff 100644 --- a/java/lance-jni/src/transaction.rs +++ b/java/lance-jni/src/transaction.rs @@ -559,7 +559,7 @@ fn convert_to_java_operation_inner<'local>( updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge: _, + merged_generations: _, fields_for_preserving_frag_bitmap, update_mode, inserted_rows_filter: _, @@ -1048,7 +1048,7 @@ fn convert_to_rust_operation( updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge: None, + merged_generations: vec![], fields_for_preserving_frag_bitmap, update_mode, inserted_rows_filter: None, diff --git a/python/src/transaction.rs b/python/src/transaction.rs index b867b428352..4f57bf3dd49 100644 --- a/python/src/transaction.rs +++ b/python/src/transaction.rs @@ -229,7 +229,7 @@ impl FromPyObject<'_> for PyLance { updated_fragments, new_fragments, fields_modified, - mem_wal_to_merge: None, + merged_generations: vec![], fields_for_preserving_frag_bitmap, update_mode, inserted_rows_filter: None, From 27b6734a3a91f043652b9047badd18ee2849303e Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 11:54:15 -0800 Subject: [PATCH 8/9] feat: add index_catchup tracking for async index rebuilding - Add IndexCatchupProgress to track which merged generation each base table index has caught up to - Update MemWalIndexDetails proto and Rust implementation - Remove merged_generation from RegionManifest (single source of truth) - Add LSM Tree Merging section and Appendix 4 to spec - Improve Indexed Read documentation with better explanation Co-Authored-By: Jack Ye Co-Authored-By: Claude Opus 4.5 --- docs/src/format/table/mem_wal.md | 289 +++++++++++++++++++++---------- protos/table.proto | 28 ++- rust/lance-index/src/mem_wal.rs | 86 ++++++++- 3 files changed, 306 insertions(+), 97 deletions(-) diff --git a/docs/src/format/table/mem_wal.md b/docs/src/format/table/mem_wal.md index 24d583021b0..b61343674c1 100644 --- a/docs/src/format/table/mem_wal.md +++ b/docs/src/format/table/mem_wal.md @@ -1,6 +1,7 @@ # MemTable & WAL Specification (Experimental) -Lance MemTable & WAL (MemWAL) specification describes a Log-Structured-Merge (LSM) tree architecture for Lance tables, enabling high-performance streaming write workloads. +Lance MemTable & WAL (MemWAL) specification describes a Log-Structured-Merge (LSM) tree architecture for Lance tables, enabling high-performance streaming write workloads while maintaining indexed read performance for key workloads including +scan, point lookup, vector search and full-text search. !!!note MemWAL requires the table to have an [unenforced primary key](index.md#unenforced-primary-key) defined. @@ -41,6 +42,7 @@ It stores: - **Configuration**: Region specs defining how rows map to regions, and which indexes to maintain - **Merge progress**: Last generation merged to base table for each region +- **Index catchup progress**: Which merged generation each base table index has been rebuilt to cover - **Region snapshots**: Point-in-time snapshot of all region states for read optimization The index is the source of truth for **configuration** and **merge progress**, but region state snapshots are for read-only optimization (each region's manifest is authoritative for its own state). @@ -118,7 +120,7 @@ The manifest contains: - **Fencing state**: `writer_epoch` (writer fencing token) - **WAL pointers**: `replay_after_wal_id` (last entry flushed to MemTable), `wal_id_last_seen` (last entry seen at manifest update) -- **Generation trackers**: `current_generation` (next generation to flush), `merged_generation` (last generation merged to base) +- **Generation trackers**: `current_generation` (next generation to flush) - **Flushed generations**: `flushed_generations` list of generation number and directory path pairs (e.g., generation 1 at `a1b2c3d4_gen_1`) Note: `wal_id_last_seen` is a hint that may be stale since it's not updated on WAL write. @@ -153,7 +155,7 @@ To read the latest manifest version: This approach uses HEAD requests instead of LIST operations in cloud storage, which is generally faster and is friendly to systems like S3 Express that do not support lexicographically sorted listing. !!!note - This works because the write rate to region manifests is significantly lower than read rates. Region manifests are only updated when region metadata changes (MemTable flush, merge completion), not on every write. This ensures HEAD requests will eventually terminate and find the latest version. + This works because the write rate to region manifests is significantly lower than read rates. Region manifests are only updated when region metadata changes (MemTable flush), not on every write. This ensures HEAD requests will eventually terminate and find the latest version. All region manifest versions are stored in `_mem_wal/{region_id}/manifest` directory. @@ -166,8 +168,8 @@ The region manifest is updated atomically in the following cases: |---------|----------------|---------| | [Initialization & Recovery](#initialization--recovery) | `writer_epoch` | Incremented when writer claims the region | | [MemTable Flush](#memtable-flush) | `replay_after_wal_id`, `wal_id_last_seen`, `current_generation`, `flushed_generations` | After flushing MemTable to storage | -| [MemTable Merger](#merge-workflow) | `merged_generation`, `flushed_generations` | After merging a flushed MemTable; removes merged entry | | [MemWAL Index Builder](#memwal-index-builder) | `wal_id_last_seen` | Periodically scans WAL entries and updates hint | +| [Garbage Collector](#garbage-collector) | `flushed_generations` | Removes entries for deleted flushed MemTables | !!!note WAL flush does **not** update the manifest to keep the hot write path fast. @@ -175,33 +177,6 @@ The region manifest is updated atomically in the following cases: Writers use epoch-based fencing (`writer_epoch`) to ensure single-writer semantics. See [Writer Fencing](#writer-fencing) for details. -## Storage Layout - -Here is a recap of the storage layout with all the files and concepts defined so far: - -``` -{table_path}/ -├── _indices/ -│ └── {index_uuid}/ # MemWAL Index (uses standard index storage) -│ └── index.lance # Serialized region snapshots (Lance file) -│ -└── _mem_wal/ - └── {region_uuid}/ # Region directory (UUID v4) - ├── manifest/ - │ ├── {bit_reversed_version}.binpb # Serialized region manifest (bit-reversed naming) - │ └── version_hint.json # Version hint file - ├── wal/ - │ ├── {bit_reversed_entry_id}.lance # WAL data files (bit-reversed naming) - │ └── ... - └── {random_hash}_gen_{i}/ # Flushed MemTable (generation i, random prefix) - ├── _versions/ - │ └── {version}.manifest # Table manifest (V2 naming scheme) - ├── _indices/ # Indexes - │ ├── {vector_index}/ - │ └── {scalar_index}/ - └── bloom_filter.bin # Primary key bloom filter -``` - ## MemWAL Index Details The MemWAL Index uses the [standard index storage](index/index.md#index-storage) at `_indices/{UUID}/`. @@ -222,6 +197,11 @@ Writers read these fields to determine how to partition data and which indexes t This field is updated atomically with merge-insert data commits, enabling conflict resolution when multiple mergers operate concurrently. Each entry contains the region UUID and generation number. +**Index catchup progress** (`index_catchup`) tracks which merged generation each base table index has been rebuilt to cover. +When data is merged from a flushed MemTable to the base table, the base table's indexes are rebuilt asynchronously. +During this window, queries should use the flushed MemTable's pre-built indexes instead of scanning unindexed data in the base table. +See [Index Catchup and Read Path](#index-catchup-and-read-path) for details. + **Region snapshot fields** (`snapshot_ts_millis`, `num_regions`, `inline_snapshots`) provide a point-in-time snapshot of region states. The actual region manifests remain authoritative for region state. When `num_regions` is 0, the `inline_snapshots` field may be `None` or an empty Lance file with 0 rows but proper schema. @@ -332,7 +312,6 @@ The schema has one column per `RegionManifest` field plus region spec columns: | `replay_after_wal_id` | `uint64` | Last WAL entry flushed to MemTable | | `wal_id_last_seen` | `uint64` | Last WAL entry seen (hint) | | `current_generation` | `uint64` | Next generation to flush | -| `merged_generation` | `uint64` | Last generation merged to base | | `flushed_generations` | `list>` | Flushed MemTable paths | | `region_field_{field_id}` | varies | Region field value (one column per field in region spec) | @@ -357,6 +336,33 @@ This ensures distances are precise and comparable across generations. The base table vector index should not change the codebook once MemWAL is enabled. To switch codebooks, a migration is required: create another vector index with the new codebook, configure MemTable to maintain both indexes, and eventually drop the old index after all readers are using the new codebook and all MemTables have indexes using the new codebook. +## Storage Layout + +Here is a recap of the storage layout with all the files and concepts defined so far: + +``` +{table_path}/ +├── _indices/ +│ └── {index_uuid}/ # MemWAL Index (uses standard index storage) +│ └── index.lance # Serialized region snapshots (Lance file) +│ +└── _mem_wal/ + └── {region_uuid}/ # Region directory (UUID v4) + ├── manifest/ + │ ├── {bit_reversed_version}.binpb # Serialized region manifest (bit-reversed naming) + │ └── version_hint.json # Version hint file + ├── wal/ + │ ├── {bit_reversed_entry_id}.lance # WAL data files (bit-reversed naming) + │ └── ... + └── {random_hash}_gen_{i}/ # Flushed MemTable (generation i, random prefix) + ├── _versions/ + │ └── {version}.manifest # Table manifest (V2 naming scheme) + ├── _indices/ # Indexes + │ ├── {vector_index}/ + │ └── {scalar_index}/ + └── bloom_filter.bin # Primary key bloom filter +``` + ## Writer Expectations A writer operates on a single region within a single process and may spawn asynchronous tasks for background operations like WAL flush and MemTable flush. @@ -527,16 +533,14 @@ Flushed MemTables are merged to the base table in generation order using Lance's #### Merge Workflow -1. Load the MemWAL Index and read `merged_generations[region_id]` -2. Load the region manifest and identify unmerged flushed MemTables from `flushed_generations`: those with generation numbers in range `(merged_generation, current_generation)` +1. Read `merged_generations[region_id]` +2. Load the region manifest and identify unmerged flushed MemTables from `flushed_generations`: those with generation numbers > `merged_generations[region_id]` 3. For each flushed MemTable in ascending generation order: - Look up the directory path from `flushed_generations` - Open it as a Lance table - Execute merge-insert into the base table, atomically updating the MemWAL Index: - Set `merged_generations[region_id]` to this generation - On commit conflict, apply [conflict resolution rules](#conflict-resolution-and-concurrency) - - On successful commit, update the region manifest: set `merged_generation` to this generation and remove the entry from `flushed_generations` - - If the region manifest update fails, continue to the next generation (MemWAL Index is authoritative) 4. After merge, the flushed MemTable and its referenced WAL files may be garbage collected (see [Garbage Collector](#garbage-collector)) Ordered merge ensures correct upsert semantics: flushed MemTables with higher generation numbers overwrite those with lower numbers. @@ -545,21 +549,14 @@ Ordered merge ensures correct upsert semantics: flushed MemTables with higher ge Multiple mergers may operate on the same region concurrently. This is safe due to: -1. **Atomic MemWAL Index update**: The `merged_generations` in MemWAL Index is updated atomically with the data commit -2. **Conflict resolution**: When a merge-insert commit encounters a version conflict, the merger reads the conflicting commit's MemWAL Index. If `merged_generations[region_id] >= my_generation`, abort without retry (data already merged or superseded). Otherwise, retry the commit as normal. +1. **Atomic update**: `merged_generations` is updated atomically with the data commit +2. **Conflict resolution**: When a merge-insert commit encounters a version conflict, the merger reads the conflicting commit's `merged_generations`. If `merged_generations[region_id] >= my_generation`, abort without retry (data already merged or superseded). Otherwise, retry the commit as normal. 3. **Merge-insert idempotency**: If two mergers merge the same generation before either commits, both write identical data (primary key upsert semantics) After aborting due to a conflict, reload the MemWAL Index and region manifest, then continue to the next unmerged generation. -If a merger crashes after committing to the base table but before updating the region manifest: - -- The MemWAL Index has `merged_generations[region_id] = N` -- The region manifest still has `merged_generation = N-1` -- Next merger reads MemWAL Index, sees generation N already merged, skips it -- Region manifest is eventually updated to catch up - -The MemWAL Index `merged_generations` and region manifest `merged_generation` may temporarily differ. -The MemWAL Index is authoritative for conflict resolution; the region manifest is eventually consistent and used for `flushed_generations` cleanup. +`merged_generations` is the single source of truth for merge progress. +If a merger crashes after committing, the next merger reads the MemWAL Index to determine which generations are already merged. For a concrete example, see [Appendix 2: Concurrent Merger Example](#appendix-2-concurrent-merger-example). @@ -587,23 +584,58 @@ This process serves two purposes: The build frequency is implementation-defined. More frequent builds reduce staleness but increase I/O overhead. +### Base Table Index Builder + +A background process rebuilds base table indexes to cover newly merged data and updates `index_catchup` progress in the MemWAL Index. +Typically there is a dedicated builder for each index. + +The index builder workflow is expected to be: +1. Rebuild the base table index to the latest state, this automatically covers all merged generations +2. Read the current `merged_generations` +3. Update the MemWAL Index atomically: + - Set `index_catchup[index_name].caught_up_generations` to match `merged_generations` +4. On commit conflict, reload the MemWAL Index and retry + ### Garbage Collector -The garbage collector removes obsolete data from the region directory. This is a file-only operation that does not update the region manifest. +The garbage collector removes obsolete data from the region directory and updates the region manifest to remove entries from `flushed_generations` for deleted flushed MemTables. Eligible for deletion: -1. **Flushed MemTable directories**: Generation directories where `generation <= merged_generation` +1. **Flushed MemTable directories**: Generation directories where `generation <= merged_generations[region_id]` AND `generation <= min(index_catchup[I].caught_up_generation)` for all maintained indexes 2. **WAL data files**: Files referenced only by deleted generations 3. **Old region manifest versions**: Versions older than the current version minus a retention threshold 4. **Orphaned directories**: Directories matching `*_gen_*` pattern but not in `flushed_generations` (from failed flush attempts) -**Time travel consideration**: Garbage collection must not remove generations that are reachable by any retained base table version. When a reader opens an older table version, the MemWAL Index snapshot from that version references specific `merged_generation` values. Generations that satisfy `generation > merged_generation` for any retained table version must be preserved. +**Index catchup consideration**: Flushed MemTables must be retained until all base table indexes have caught up. +Since flushed MemTables contain pre-built indexes, they are used for indexed queries when the base table index has not yet been rebuilt to cover the merged data. +Only after all indexes in `maintained_indexes` have `caught_up_generation >= generation` can a flushed MemTable be safely deleted. + +**Time travel consideration**: Garbage collection must not remove generations that are reachable by any retained base table version. When a reader opens an older table version, the MemWAL Index snapshot from that version references specific `merged_generations` values. Generations that satisfy `generation > merged_generations[region_id]` for any retained table version must be preserved. Garbage collection must verify that no flushed MemTable still references a WAL file before deletion. ## Reader Expectations +### LSM Tree Merging Read + +Readers **MUST** merge results from multiple data sources (base table, flushed MemTables, in-memory MemTables) by primary key to ensure correctness. + +When the same primary key exists in multiple sources, the reader must keep only the newest version based on: + +1. **Generation number** (`_gen`): Higher generation wins. The base table has generation -1, flushed MemTables have positive integers starting from 1. +2. **Row address** (`_rowaddr`): Within the same generation, higher row address wins (later writes within a batch overwrite earlier ones). + +The ordering for "newest" is: highest `_gen` first, then highest `_rowaddr`. + +This deduplication is essential because: + +- A row updated in a MemTable also exists (with older data) in the base table +- A flushed MemTable that has been merged to the base table may not yet be garbage collected, causing the same row to appear in both +- A single write batch may contain multiple updates to the same primary key + +Without proper merging, queries would return duplicate or stale rows. + ### Reader Consistency Reader consistency depends on two factors: @@ -614,13 +646,12 @@ Reader consistency depends on two factors: Strong consistency requires access to in-memory MemTables for all regions involved in the query and reading region manifests directly. Otherwise, the query is eventually consistent due to missing unflushed data or stale MemWAL Index snapshots. -Reading a stale MemWAL Index does not impact correctness, only freshness: - -- **Merged MemTable**: If a flushed MemTable has been merged to the base table but not yet garbage collected, readers query both. Deduplication by primary key ensures correct results since both contain the same data. If the MemTable has been garbage collected, readers fail to open it, which is also safe because the data already exists in the base table. -- **Stale snapshot**: The snapshot may not reflect the latest region manifest state. Flushed MemTables added after the snapshot was built are not queried. The result is eventually consistent but correct for the snapshot's point in time. - -The `snapshot_ts_millis` field indicates when the index was built; readers can use this to estimate staleness and decide whether to refresh. -For stronger consistency, readers may load individual region manifests directly from `_mem_wal/{region_uuid}/manifest/`. +!!!note + Reading a stale MemWAL Index does not impact correctness, only freshness: + + - **Merged MemTable still in index**: If a flushed MemTable has been merged to the base table but still shows in the MemWAL index, readers query both. This results in some inefficiency for querying the same data twice, but [LSM-tree merging](#lsm-tree-merging-read) ensures correct results since both contain the same data. The inefficiency is also compensated by the fact that the data is covered by index and we rarely end up scanning both data. + - **Garbage collected MemTable still in index**: If a flushed MemTable has been garbage collected, but is still in the MemWAL index, readers would fail to open it and skip it. This is also safe because if it is garbage collected, the data must already exist in the base table. + - **Newly flushed MemTable not in index**: If a newly flushed MemTable is added after the snapshot was built, it is not queried. The result is eventually consistent but correct for the snapshot's point in time. ### Query Planning @@ -659,6 +690,41 @@ For example, with a region spec using `bucket(user_id, 10)` and a filter `user_i Region pruning applies to both scan queries and prefilters in search queries. +#### Indexed Read + +When data is merged from a flushed MemTable to the base table, the base table's indexes are rebuilt asynchronously by the [base table index builders](#base-table-index-builder). +During this window, the merged data exists in the base table but is not yet covered by the base table's indexes. + +Without special handling, indexed queries would fall back to expensive full scans for the unindexed part of the base table. +To maintain indexed read performance, the query planner should use `index_catchup` progress to determine the optimal data source for each query: + +``` +For indexed query on region R using index I: + merged_gen = merged_generations[R] + index_gen = index_catchup[I].caught_up_generations[R] # defaults to merged_gen if absent + + if index_gen >= merged_gen: + # Base table index is caught up - optimal path + base_table.indexed_query(I) + memtable.query(gen > merged_gen) + else: + # Base table index is behind - use flushed MemTable indexes for the gap + base_table.indexed_query(I) # covers data up to index_gen + flushed_memtable.indexed_query(gen in (index_gen, merged_gen]) # uses pre-built indexes + memtable.query(gen > merged_gen) +``` + +Since flushed MemTables contain pre-built indexes (created during [MemTable flush](#memtable-flush)), queries can use these indexes instead of scanning unindexed data in the base table. +This ensures all reads remain indexed regardless of how far behind the async index builder is. + +The key insight is that flushed MemTables serve as a bridge between the base table's index catchup and the current merged state. +When `index_gen < merged_gen`, the generations in the gap `(index_gen, merged_gen]` have data in the base table but are not covered by the base table's indexes. +Instead of falling back to a full scan for this gap, the query planner uses the flushed MemTable indexes which were pre-built during flush. +This maintains indexed query performance even during periods of heavy write activity where async index rebuilding falls behind. + +See [Appendix 4: Index Catchup Example](#appendix-4-index-catchup-example) for a detailed timeline showing how this works in practice. + + ### Query Execution Query execution unions datasets within each region and deduplicates by primary key. @@ -857,7 +923,6 @@ MemWAL Index: merged_generations: {region: 5} Region manifest (version 1): - merged_generation: 5 current_generation: 8 flushed_generations: [(6, "abc123_gen_6"), (7, "def456_gen_7")] ``` @@ -866,51 +931,45 @@ Region manifest (version 1): Two mergers both try to merge generation 6 concurrently. -| Step | Merger A | Merger B | MemWAL Index | Region Manifest | -|------|----------|----------|--------------|-----------------| -| 1 | Reads index: merged_gen=5 | | merged_gen=5 | merged_gen=5 | -| 2 | Reads region manifest | | | | -| 3 | Starts merging gen 6 | | | | -| 4 | | Reads index: merged_gen=5 | merged_gen=5 | merged_gen=5 | -| 5 | | Reads region manifest | | | -| 6 | | Starts merging gen 6 | | | -| 7 | Commits (merged_gen=6) | | **merged_gen=6** | merged_gen=5 | -| 8 | | Tries to commit | | | -| 9 | | **Conflict**: reads new index | | | -| 10 | | Sees merged_gen=6 >= 6, aborts | | | -| 11 | Updates region manifest | | merged_gen=6 | **merged_gen=6** | -| 12 | | Reloads, continues to gen 7 | | | +| Step | Merger A | Merger B | MemWAL Index | +|------|----------|----------|--------------| +| 1 | Reads index: merged_gen=5 | | merged_gen=5 | +| 2 | Reads region manifest | | | +| 3 | Starts merging gen 6 | | | +| 4 | | Reads index: merged_gen=5 | merged_gen=5 | +| 5 | | Reads region manifest | | +| 6 | | Starts merging gen 6 | | +| 7 | Commits (merged_gen=6) | | **merged_gen=6** | +| 8 | | Tries to commit | | +| 9 | | **Conflict**: reads new index | | +| 10 | | Sees merged_gen=6 >= 6, aborts | | +| 11 | | Reloads, continues to gen 7 | | Merger B's conflict resolution detected that generation 6 was already merged by checking the MemWAL Index in the conflicting commit. #### Scenario 2: Crash After Table Commit -Merger A crashes after committing to the table but before updating the region manifest. +Merger A crashes after committing to the table. -| Step | Merger A | Merger B | MemWAL Index | Region Manifest | -|------|----------|----------|--------------|-----------------| -| 1 | Reads index: merged_gen=5 | | merged_gen=5 | merged_gen=5 | -| 2 | Merges gen 6, commits | | **merged_gen=6** | merged_gen=5 | -| 3 | **CRASH** before region update | | merged_gen=6 | merged_gen=5 | -| 4 | | Reads index: merged_gen=6 | merged_gen=6 | merged_gen=5 | -| 5 | | Reads region manifest | | | -| 6 | | Region says gen 6 unmerged... | | | -| 7 | | But index says merged_gen=6 | | | -| 8 | | **Skips gen 6** (index authoritative) | | | -| 9 | | Merges gen 7, commits | | **merged_gen=7** | -| 10 | | Updates region manifest | | **merged_gen=7** | +| Step | Merger A | Merger B | MemWAL Index | +|------|----------|----------|--------------| +| 1 | Reads index: merged_gen=5 | | merged_gen=5 | +| 2 | Merges gen 6, commits | | **merged_gen=6** | +| 3 | **CRASH** | | merged_gen=6 | +| 4 | | Reads index: merged_gen=6 | merged_gen=6 | +| 5 | | Reads region manifest | | +| 6 | | **Skips gen 6** (already merged) | | +| 7 | | Merges gen 7, commits | **merged_gen=7** | -The MemWAL Index is authoritative. Even though the region manifest was stale, Merger B correctly used the MemWAL Index to determine that generation 6 was already merged. +The MemWAL Index is the single source of truth. Merger B correctly used it to determine that generation 6 was already merged. #### Key Points -1. **MemWAL Index is authoritative**: The `merged_generations` in MemWAL Index is the source of truth for merge progress, updated atomically with data. - -2. **Region manifest is eventually consistent**: It may lag behind MemWAL Index after crashes, but is eventually updated by subsequent mergers. +1. **Single source of truth**: `merged_generations` is the authoritative source for merge progress, updated atomically with data. -3. **Conflict resolution uses MemWAL Index**: When a commit conflicts, the merger checks the conflicting commit's MemWAL Index, not the region manifest. +2. **Conflict resolution uses MemWAL Index**: When a commit conflicts, the merger checks the conflicting commit's MemWAL Index. -4. **No progress regression**: Because MemWAL Index is updated atomically with data, concurrent mergers cannot regress the merge progress. +3. **No progress regression**: Because MemWAL Index is updated atomically with data, concurrent mergers cannot regress the merge progress. ### Appendix 3: Execution Nodes @@ -947,3 +1006,51 @@ Given a primary key, checks the bloom filter before executing the child node. If the bloom filter returns negative (key definitely not present), returns empty without executing the child. If the bloom filter returns positive (key may be present), executes the child node normally. Used in point lookups to skip unnecessary scans of generations that don't contain the target key. + +### Appendix 4: Index Catchup Example + +This example demonstrates how `index_catchup` enables indexed reads during async index rebuilding. + +#### Scenario Setup + +``` +Generation: 1 2 3 4 5 6 + | | | | | | +State: merged merged merged merged flushed active + | | | | | | +Base IVF index: [-- covers 1-3 --] + ↑ ↑ ↑ + index_gen=3 merged_gen=4 | + current_gen=6 +``` + +In this example: + +- **Generations 1-4** have been merged to the base table (`merged_gen=4`) +- **Base IVF index** has only been rebuilt to cover generations 1-3 (`index_gen=3`) +- **Generation 4** is in the base table but NOT covered by the base IVF index +- **Generation 5** is flushed to disk (not yet merged to base table) +- **Generation 6** is the active in-memory MemTable + +#### Read Strategy for Vector Search + +Without `index_catchup` tracking, the query planner would need to perform an expensive full scan on the base table for generation 4. +With `index_catchup`, the planner knows exactly which data is indexed and can use flushed MemTable indexes for the gap: + +| Data Source | Generations | Strategy | +|-------------|-------------|----------| +| Base table with IVF index | 1-3 | Use base table's IVF index | +| Flushed MemTable gen 4 | 4 | Use flushed MemTable's IVF index | +| Flushed MemTable gen 5 | 5 | Use flushed MemTable's IVF index | +| Active MemTable | 6 | Use in-memory IVF index | + +All data sources provide indexed access, maintaining query performance during async index rebuild. + +#### Why Flushed MemTables Are Retained + +Flushed MemTable files are not garbage collected until: + +1. Their data has been merged to the base table (`gen <= merged_gen`) +2. All maintained indexes have caught up (`gen <= index_gen` for all indexes) + +This ensures flushed MemTable indexes remain available to bridge the gap between `index_gen` and `merged_gen`. diff --git a/protos/table.proto b/protos/table.proto index 71ef98066e8..0d73bfdeb94 100644 --- a/protos/table.proto +++ b/protos/table.proto @@ -538,9 +538,8 @@ message RegionManifest { // Next generation ID to create (incremented after each MemTable flush). uint64 current_generation = 6; - // Last generation merged to base table. - // Generations <= merged_generation can be garbage collected. - uint64 merged_generation = 7; + // Field 7 removed: merged_generation moved to MemWalIndexDetails.merged_generations + // which is the authoritative source for merge progress. // List of flushed MemTable generations and their directory paths. repeated FlushedGeneration flushed_generations = 8; @@ -564,6 +563,18 @@ message MergedGeneration { uint64 generation = 2; } +// Tracks which merged generation a base table index has been rebuilt to cover. +// Used to determine whether to read from flushed MemTable indexes or base table. +message IndexCatchupProgress { + // Name of the base table index (must match an entry in maintained_indexes). + string index_name = 1; + + // Per-region progress: the generation up to which this index covers. + // If a region is not present, the index is assumed to be fully caught up + // (i.e., caught_up_generation >= merged_generation for that region). + repeated MergedGeneration caught_up_generations = 2; +} + // Index details for MemWAL Index, stored in IndexMetadata.index_details. // This is the centralized structure for all MemWAL metadata: // - Configuration (region specs, indexes to maintain) @@ -620,6 +631,17 @@ message MemWalIndexDetails { // 1. merged_generations is updated by mergers (atomic with data commit) // 2. region snapshots are updated by background index builder repeated MergedGeneration merged_generations = 9; + + // Per-index catchup progress tracking. + // When data is merged to the base table, base table indexes are rebuilt + // asynchronously. This field tracks which generation each index covers. + // + // For indexed queries, if an index's caught_up_generation < merged_generation, + // readers should use flushed MemTable indexes for the gap instead of + // scanning unindexed data in the base table. + // + // If an index is not present in this list, it is assumed to be fully caught up. + repeated IndexCatchupProgress index_catchup = 10; } // Region spec definition. diff --git a/rust/lance-index/src/mem_wal.rs b/rust/lance-index/src/mem_wal.rs index ccc9cc3db0e..71bda425fd8 100644 --- a/rust/lance-index/src/mem_wal.rs +++ b/rust/lance-index/src/mem_wal.rs @@ -91,6 +91,60 @@ impl TryFrom for MergedGeneration { } } +/// Tracks which merged generation a base table index has been rebuilt to cover. +/// Used to determine whether to read from flushed MemTable indexes or base table. +#[derive(Debug, Clone, Default, PartialEq, Eq, Serialize, Deserialize, DeepSizeOf)] +pub struct IndexCatchupProgress { + pub index_name: String, + pub caught_up_generations: Vec, +} + +impl IndexCatchupProgress { + pub fn new(index_name: String, caught_up_generations: Vec) -> Self { + Self { + index_name, + caught_up_generations, + } + } + + /// Get the caught up generation for a specific region. + /// Returns None if the region is not present (assumed fully caught up). + pub fn caught_up_generation_for_region(&self, region_id: &Uuid) -> Option { + self.caught_up_generations + .iter() + .find(|mg| &mg.region_id == region_id) + .map(|mg| mg.generation) + } +} + +impl From<&IndexCatchupProgress> for pb::IndexCatchupProgress { + fn from(icp: &IndexCatchupProgress) -> Self { + Self { + index_name: icp.index_name.clone(), + caught_up_generations: icp + .caught_up_generations + .iter() + .map(|mg| mg.into()) + .collect(), + } + } +} + +impl TryFrom for IndexCatchupProgress { + type Error = Error; + + fn try_from(icp: pb::IndexCatchupProgress) -> lance_core::Result { + Ok(Self { + index_name: icp.index_name, + caught_up_generations: icp + .caught_up_generations + .into_iter() + .map(MergedGeneration::try_from) + .collect::>()?, + }) + } +} + /// Region manifest containing epoch-based fencing and WAL state. /// Each region has exactly one active writer at any time. #[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] @@ -102,7 +156,6 @@ pub struct RegionManifest { pub replay_after_wal_id: u64, pub wal_id_last_seen: u64, pub current_generation: u64, - pub merged_generation: u64, pub flushed_generations: Vec, } @@ -122,7 +175,6 @@ impl From<&RegionManifest> for pb::RegionManifest { replay_after_wal_id: rm.replay_after_wal_id, wal_id_last_seen: rm.wal_id_last_seen, current_generation: rm.current_generation, - merged_generation: rm.merged_generation, flushed_generations: rm.flushed_generations.iter().map(|fg| fg.into()).collect(), } } @@ -143,7 +195,6 @@ impl TryFrom for RegionManifest { replay_after_wal_id: rm.replay_after_wal_id, wal_id_last_seen: rm.wal_id_last_seen, current_generation: rm.current_generation, - merged_generation: rm.merged_generation, flushed_generations: rm .flushed_generations .into_iter() @@ -224,6 +275,7 @@ pub struct MemWalIndexDetails { pub region_specs: Vec, pub maintained_indexes: Vec, pub merged_generations: Vec, + pub index_catchup: Vec, } impl From<&MemWalIndexDetails> for pb::MemWalIndexDetails { @@ -239,6 +291,7 @@ impl From<&MemWalIndexDetails> for pb::MemWalIndexDetails { .iter() .map(|mg| mg.into()) .collect(), + index_catchup: details.index_catchup.iter().map(|icp| icp.into()).collect(), } } } @@ -262,6 +315,11 @@ impl TryFrom for MemWalIndexDetails { .into_iter() .map(MergedGeneration::try_from) .collect::>()?, + index_catchup: details + .index_catchup + .into_iter() + .map(IndexCatchupProgress::try_from) + .collect::>()?, }) } } @@ -284,6 +342,26 @@ impl MemWalIndex { .find(|mg| &mg.region_id == region_id) .map(|mg| mg.generation) } + + /// Get the caught up generation for a specific index and region. + /// Returns None if the index is not tracked (assumed fully caught up). + pub fn index_caught_up_generation(&self, index_name: &str, region_id: &Uuid) -> Option { + self.details + .index_catchup + .iter() + .find(|icp| icp.index_name == index_name) + .and_then(|icp| icp.caught_up_generation_for_region(region_id)) + } + + /// Check if an index is fully caught up for a region. + /// Returns true if the index covers all merged data for the region. + pub fn is_index_caught_up(&self, index_name: &str, region_id: &Uuid) -> bool { + let merged_gen = self.merged_generation_for_region(region_id).unwrap_or(0); + let caught_up_gen = self.index_caught_up_generation(index_name, region_id); + + // If not tracked in index_catchup, assumed fully caught up + caught_up_gen.is_none_or(|gen| gen >= merged_gen) + } } #[derive(Serialize)] @@ -292,6 +370,7 @@ struct MemWalStatistics { num_merged_generations: usize, num_region_specs: usize, num_maintained_indexes: usize, + num_index_catchup_entries: usize, } #[async_trait] @@ -317,6 +396,7 @@ impl Index for MemWalIndex { num_merged_generations: self.details.merged_generations.len(), num_region_specs: self.details.region_specs.len(), num_maintained_indexes: self.details.maintained_indexes.len(), + num_index_catchup_entries: self.details.index_catchup.len(), }; serde_json::to_value(stats).map_err(|e| Error::Internal { message: format!("failed to serialize MemWAL index statistics: {}", e), From c7335f9989344d0f12bd8c42d1b8600cf03e8f20 Mon Sep 17 00:00:00 2001 From: Heng Ge Date: Tue, 13 Jan 2026 12:23:43 -0800 Subject: [PATCH 9/9] Fix typos --- docs/src/format/table/mem_wal.md | 84 +++++++------------------------- 1 file changed, 17 insertions(+), 67 deletions(-) diff --git a/docs/src/format/table/mem_wal.md b/docs/src/format/table/mem_wal.md index b61343674c1..74cf3ab72cb 100644 --- a/docs/src/format/table/mem_wal.md +++ b/docs/src/format/table/mem_wal.md @@ -623,7 +623,7 @@ Readers **MUST** merge results from multiple data sources (base table, flushed M When the same primary key exists in multiple sources, the reader must keep only the newest version based on: -1. **Generation number** (`_gen`): Higher generation wins. The base table has generation -1, flushed MemTables have positive integers starting from 1. +1. **Generation number** (`_gen`): Higher generation wins. The base table has generation -1, MemTables have positive integers starting from 1. 2. **Row address** (`_rowaddr`): Within the same generation, higher row address wins (later writes within a batch overwrite earlier ones). The ordering for "newest" is: highest `_gen` first, then highest `_rowaddr`. @@ -690,67 +690,27 @@ For example, with a region spec using `bucket(user_id, 10)` and a filter `user_i Region pruning applies to both scan queries and prefilters in search queries. -#### Indexed Read +#### Indexed Read Plan When data is merged from a flushed MemTable to the base table, the base table's indexes are rebuilt asynchronously by the [base table index builders](#base-table-index-builder). During this window, the merged data exists in the base table but is not yet covered by the base table's indexes. Without special handling, indexed queries would fall back to expensive full scans for the unindexed part of the base table. -To maintain indexed read performance, the query planner should use `index_catchup` progress to determine the optimal data source for each query: - -``` -For indexed query on region R using index I: - merged_gen = merged_generations[R] - index_gen = index_catchup[I].caught_up_generations[R] # defaults to merged_gen if absent - - if index_gen >= merged_gen: - # Base table index is caught up - optimal path - base_table.indexed_query(I) - memtable.query(gen > merged_gen) - else: - # Base table index is behind - use flushed MemTable indexes for the gap - base_table.indexed_query(I) # covers data up to index_gen - flushed_memtable.indexed_query(gen in (index_gen, merged_gen]) # uses pre-built indexes - memtable.query(gen > merged_gen) -``` +To maintain indexed read performance, the query planner should use `index_catchup` progress to determine the optimal data source for each query. +The key insight is that flushed MemTables serve as a bridge between the base table's index catchup and the current merged state. +For a query that requires a specific index for acceleration, when `index_gen < merged_gen`, +the generations in the gap `(index_gen, merged_gen]` have data already merged in the base table but are not covered by the base table's index. Since flushed MemTables contain pre-built indexes (created during [MemTable flush](#memtable-flush)), queries can use these indexes instead of scanning unindexed data in the base table. This ensures all reads remain indexed regardless of how far behind the async index builder is. -The key insight is that flushed MemTables serve as a bridge between the base table's index catchup and the current merged state. -When `index_gen < merged_gen`, the generations in the gap `(index_gen, merged_gen]` have data in the base table but are not covered by the base table's indexes. -Instead of falling back to a full scan for this gap, the query planner uses the flushed MemTable indexes which were pre-built during flush. -This maintains indexed query performance even during periods of heavy write activity where async index rebuilding falls behind. - See [Appendix 4: Index Catchup Example](#appendix-4-index-catchup-example) for a detailed timeline showing how this works in practice. - ### Query Execution -Query execution unions datasets within each region and deduplicates by primary key. -Deduplication uses two virtual columns: `_gen` (generation number, same value for all rows in a generation) and `_rowaddr` (row address within the dataset). -The ordering for "newest" is: highest `_gen` first, then highest `_rowaddr` (within the same generation, later rows win). - -A single write batch may contain duplicate primary keys. Query execution must deduplicate, keeping only the newest row for each key. - -For scan queries with filters, the plan unions datasets from relevant regions (after pruning), deduplicates within each region, then applies any remaining filters. -Early termination is possible with a streaming deduplicate operator. - -For vector search queries, each generation's index is searched independently. -Results from base table and MemTable generations use the same distance metric since they share identical index configuration. -The bloom filter is used to detect stale results: for each candidate from generation G, check if the primary key exists in any bloom filter from generations > G. -If found, the candidate is filtered out because a newer version exists that did not match the query as well. - -For full-text search queries, corpus statistics (document count, term frequencies) are aggregated across all generations to compute global BM25 parameters. -Each generation's FTS index is then searched with the global parameters, producing comparable scores. -Staleness filtering uses bloom filters similar to vector search. +Query execution unions datasets within each region and deduplicates by primary key according to [LSM tree merge read](#lsm-tree-merge-read). -For point lookups, the planner can short-circuit by checking newest generations first and returning immediately when the key is found. - -### Expected Query Plans - -This section provides query plan expectations using custom execution nodes optimized for MemWAL's data model. -See [Appendix 3: Execution Nodes](#appendix-3-execution-nodes) for detailed node descriptions. +The next few subsections go through the query plan expectations using custom execution nodes optimized for MemWAL's data model. All query plans assume the following MemWAL setup: @@ -767,6 +727,9 @@ region_B: gen 3: in_memory_memtable ``` +Existing Lance index optimizations (scalar indexes, fragment pruning, etc.) continue to apply within each scan and is omitted. +See [Appendix 3: Execution Nodes](#appendix-3-execution-nodes) for uncommon execution nodes we use here for optimized performance. + #### Scan Queries For scan queries, the base table is scanned once and each region's MemTables are scanned separately. @@ -786,8 +749,6 @@ DeduplicateExec: partition_by=[pk], order_by=[_gen DESC, _rowaddr DESC] ScanExec: region_B[gen=1], filter=[pushed_down] ``` -Existing Lance index optimizations (scalar indexes, fragment pruning, etc.) continue to apply within each scan. - #### Point Lookups Primary key-based point lookups first determine the target region using the region spec, then short-circuit by checking newest generations first within that region, falling back to the base table. @@ -810,8 +771,6 @@ CoalesceFirstExec: return_first_non_null TakeLastExec: base_table[gen=-1], filter=[pk = target] ``` -Existing Lance index optimizations (scalar indexes, fragment pruning, etc.) continue to apply within each lookup. - #### Vector Search Queries Vector search uses bloom filters to detect stale results across all generations. @@ -1017,11 +976,11 @@ This example demonstrates how `index_catchup` enables indexed reads during async Generation: 1 2 3 4 5 6 | | | | | | State: merged merged merged merged flushed active - | | | | | | -Base IVF index: [-- covers 1-3 --] - ↑ ↑ ↑ - index_gen=3 merged_gen=4 | - current_gen=6 + | | | | | +Base IVF index: [-- covers 1-3 --] | | + ↑ ↑ ↑ + index_gen=3 merged_gen=4 | + current_gen=6 ``` In this example: @@ -1032,7 +991,7 @@ In this example: - **Generation 5** is flushed to disk (not yet merged to base table) - **Generation 6** is the active in-memory MemTable -#### Read Strategy for Vector Search +#### Example Read Strategy for Vector Search Without `index_catchup` tracking, the query planner would need to perform an expensive full scan on the base table for generation 4. With `index_catchup`, the planner knows exactly which data is indexed and can use flushed MemTable indexes for the gap: @@ -1045,12 +1004,3 @@ With `index_catchup`, the planner knows exactly which data is indexed and can us | Active MemTable | 6 | Use in-memory IVF index | All data sources provide indexed access, maintaining query performance during async index rebuild. - -#### Why Flushed MemTables Are Retained - -Flushed MemTable files are not garbage collected until: - -1. Their data has been merged to the base table (`gen <= merged_gen`) -2. All maintained indexes have caught up (`gen <= index_gen` for all indexes) - -This ensures flushed MemTable indexes remain available to bridge the gap between `index_gen` and `merged_gen`.