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Original file line number Diff line number Diff line change
Expand Up @@ -58,6 +58,14 @@ default boolean compareAndSwap(
throw new UnsupportedOperationException("compareAndSwap is not implemented.");
}

default void exportTable(
String tableName,
String outputPath
)
{
throw new UnsupportedOperationException("exportTable is not implemented.");
}

void createDataSourceTable();

void createPendingSegmentsTable();
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,17 @@ static String getDefaultStorageDir(DataSegment segment, boolean useUniquePath)
);
}

static String getDefaultStorageDirWithExistingUniquePath(DataSegment segment, String uniquePath)
{
return JOINER.join(
segment.getDataSource(),
StringUtils.format("%s_%s", segment.getInterval().getStart(), segment.getInterval().getEnd()),
segment.getVersion(),
segment.getShardSpec().getPartitionNum(),
uniquePath
);
}

static String generateUniquePath()
{
return UUID.randomUUID().toString();
Expand Down
66 changes: 66 additions & 0 deletions docs/content/operations/deep-storage-migration.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,66 @@
---
layout: doc_page
title: "Deep Storage Migration"
---

<!--
~ Licensed to the Apache Software Foundation (ASF) under one
~ or more contributor license agreements. See the NOTICE file
~ distributed with this work for additional information
~ regarding copyright ownership. The ASF licenses this file
~ to you under the Apache License, Version 2.0 (the
~ "License"); you may not use this file except in compliance
~ with the License. You may obtain a copy of the License at
~
~ http://www.apache.org/licenses/LICENSE-2.0
~
~ Unless required by applicable law or agreed to in writing,
~ software distributed under the License is distributed on an
~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
~ KIND, either express or implied. See the License for the
~ specific language governing permissions and limitations
~ under the License.
-->

# Deep Storage Migration

If you have been running an evaluation Druid cluster using local deep storage and wish to migrate to a
more production-capable deep storage system such as S3 or HDFS, this document describes the necessary steps.

Migration of deep storage involves the following steps at a high level:
- Copying segments from local deep storage to the new deep storage
- Exporting Druid's segments table from metadata
- Rewriting the load specs in the exported segment data to reflect the new deep storage location
- Reimporting the edited segments into metadata

## Shut down cluster services

To ensure a clean migration, shut down the non-coordinator services to ensure that metadata state will not
change as you do the migration.

When migrating from Derby, the coordinator processes will still need to be up initially, as they host the Derby database.

## Copy segments from old deep storage to new deep storage.

Before migrating, you will need to copy your old segments to the new deep storage.

For information on what path structure to use in the new deep storage, please see [deep storage migration options](../operations/export-metadata.html#deep-storage-migration).

## Export segments with rewritten load specs

Druid provides an [Export Metadata Tool](../operations/export-metadata.html) for exporting metadata from Derby into CSV files
which can then be reimported.

By setting [deep storage migration options](../operations/export-metadata.html#deep-storage-migration), the `export-metadata` tool will export CSV files where the segment load specs have been rewritten to load from your new deep storage location.

Run the `export-metadata` tool on your existing cluster, using the migration options appropriate for your new deep storage location, and save the CSV files it generates. After a successful export, you can shut down the coordinator.

### Import metadata

After generating the CSV exports with the modified segment data, you can reimport the contents of the Druid segments table from the generated CSVs.

Please refer to [import commands](../operations/export-metadata.html#importing-metadata) for examples. Only the `druid_segments` table needs to be imported.

### Restart cluster

After importing the segment table successfully, you can now restart your cluster.
201 changes: 201 additions & 0 deletions docs/content/operations/export-metadata.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,201 @@
---
layout: doc_page
title: "Export Metadata Tool"
---

<!--
~ Licensed to the Apache Software Foundation (ASF) under one
~ or more contributor license agreements. See the NOTICE file
~ distributed with this work for additional information
~ regarding copyright ownership. The ASF licenses this file
~ to you under the Apache License, Version 2.0 (the
~ "License"); you may not use this file except in compliance
~ with the License. You may obtain a copy of the License at
~
~ http://www.apache.org/licenses/LICENSE-2.0
~
~ Unless required by applicable law or agreed to in writing,
~ software distributed under the License is distributed on an
~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
~ KIND, either express or implied. See the License for the
~ specific language governing permissions and limitations
~ under the License.
-->

# Export Metadata Tool

Druid includes an `export-metadata` tool for assisting with migration of cluster metadata and deep storage.

This tool exports the contents of the following Druid metadata tables:
- segments
- rules
- config
- datasource
- supervisors

Additionally, the tool can rewrite the local deep storage location descriptors in the rows of the segments table
to point to new deep storage locations (S3, HDFS, and local rewrite paths are supported).

The tool has the following limitations:
- Only exporting from Derby metadata is currently supported
- If rewriting load specs for deep storage migration, only migrating from local deep storage is currently supported.

## `export-metadata` Options

The `export-metadata` tool provides the following options:

### Connection Properties

`--connectURI`: The URI of the Derby database, e.g. `jdbc:derby://localhost:1527/var/druid/metadata.db;create=true`
`--user`: Username
`--password`: Password
`--base`: corresponds to the value of `druid.metadata.storage.tables.base` in the configuration, `druid` by default.

### Output Path

`--output-path`, `-o`: The output directory of the tool. CSV files for the Druid segments, rules, config, datasource, and supervisors tables will be written to this directory.

### Export Format Options

`--use-hex-blobs`, `-x`: If set, export BLOB payload columns as hexadecimal strings. This needs to be set if importing back into Derby. Default is false.

`--booleans-as-strings`, `-t`: If set, write boolean values as "true" or "false" instead of "1" and "0". This needs to be set if importing back into Derby. Default is false.

### Deep Storage Migration

#### Migration to S3 Deep Storage

By setting the options below, the tool will rewrite the segment load specs to point to a new S3 deep storage location.

This helps users migrate segments stored in local deep storage to S3.

`--s3bucket`, `-b`: The S3 bucket that will hold the migrated segments
`--s3baseKey`, `-k`: The base S3 key where the migrated segments will be stored

When copying the local deep storage segments to S3, the rewrite performed by this tool requires that the directory structure of the segments be unchanged.

For example, if the cluster had the following local deep storage configuration:

```
druid.storage.type=local
druid.storage.storageDirectory=/druid/segments
```

If the target S3 bucket was `migration`, with a base key of `example`, the contents of `s3://migration/example/` must be identical to that of `/druid/segments` on the old local filesystem.

#### Migration to HDFS Deep Storage

By setting the options below, the tool will rewrite the segment load specs to point to a new HDFS deep storage location.

This helps users migrate segments stored in local deep storage to HDFS.

`--hadoopStorageDirectory`, `-h`: The HDFS path that will hold the migrated segments

When copying the local deep storage segments to HDFS, the rewrite performed by this tool requires that the directory structure of the segments be unchanged, with the exception of directory names containing colons (`:`).

For example, if the cluster had the following local deep storage configuration:

```
druid.storage.type=local
druid.storage.storageDirectory=/druid/segments
```

If the target hadoopStorageDirectory was `/migration/example`, the contents of `hdfs:///migration/example/` must be identical to that of `/druid/segments` on the old local filesystem.

Additionally, the segments paths in local deep storage contain colons(`:`) in their names, e.g.:

`wikipedia/2016-06-27T02:00:00.000Z_2016-06-27T03:00:00.000Z/2019-05-03T21:57:15.950Z/1/index.zip`

HDFS cannot store files containing colons, and this tool expects the colons to be replaced with underscores (`_`) in HDFS.

In this example, the `wikipedia` segment above under `/druid/segments` in local deep storage would need to be migrated to HDFS under `hdfs:///migration/example/` with the following path:

`wikipedia/2016-06-27T02_00_00.000Z_2016-06-27T03_00_00.000Z/2019-05-03T21_57_15.950Z/1/index.zip`

#### Migration to New Local Deep Storage Path

By setting the options below, the tool will rewrite the segment load specs to point to a new local deep storage location.

This helps users migrate segments stored in local deep storage to a new path (e.g., a new NFS mount).

`--newLocalPath`, `-n`: The new path on the local filesystem that will hold the migrated segments

When copying the local deep storage segments to a new path, the rewrite performed by this tool requires that the directory structure of the segments be unchanged.

For example, if the cluster had the following local deep storage configuration:

```
druid.storage.type=local
druid.storage.storageDirectory=/druid/segments
```

If the new path was `/migration/example`, the contents of `/migration/example/` must be identical to that of `/druid/segments` on the local filesystem.

## Running the tool

To use the tool, you can run the following from the root of the Druid package:

```bash
cd ${DRUID_ROOT}
mkdir -p /tmp/csv
java -classpath "lib/*" -Dlog4j.configurationFile=conf/druid/cluster/_common/log4j2.xml -Ddruid.extensions.directory="extensions" -Ddruid.extensions.loadList=[] org.apache.druid.cli.Main tools export-metadata --connectURI "jdbc:derby://localhost:1527/var/druid/metadata.db;" -o /tmp/csv
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@jihoonson jihoonson May 7, 2019

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Would you please add mkdir -p /tmp/csv too? Looks like the output directory must exist before running this command.

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Added that and a note about making sure the directory exists

```

In the example command above:
- `lib` is the the Druid lib directory
- `extensions` is the Druid extensions directory
- `/tmp/csv` is the output directory. Please make sure that this directory exists.

## Importing Metadata

After running the tool, the output directory will contain `<table-name>_raw.csv` and `<table-name>.csv` files.

The `<table-name>_raw.csv` files are intermediate files used by the tool, containing the table data as exported by Derby without modification.

The `<table-name>.csv` files are used for import into another database such as MySQL and PostgreSQL and have any configured deep storage location rewrites applied.

Example import commands for Derby, MySQL, and PostgreSQL are shown below.

These example import commands expect `/tmp/csv` and its contents to be accessible from the server. For other options, such as importing from the client filesystem, please refer to the database's documentation.

### Derby

```sql
CALL SYSCS_UTIL.SYSCS_IMPORT_TABLE (null,'DRUID_SEGMENTS','/tmp/csv/druid_segments.csv',',','"',null,0);

CALL SYSCS_UTIL.SYSCS_IMPORT_TABLE (null,'DRUID_RULES','/tmp/csv/druid_rules.csv',',','"',null,0);

CALL SYSCS_UTIL.SYSCS_IMPORT_TABLE (null,'DRUID_CONFIG','/tmp/csv/druid_config.csv',',','"',null,0);

CALL SYSCS_UTIL.SYSCS_IMPORT_TABLE (null,'DRUID_DATASOURCE','/tmp/csv/druid_dataSource.csv',',','"',null,0);

CALL SYSCS_UTIL.SYSCS_IMPORT_TABLE (null,'DRUID_SUPERVISORS','/tmp/csv/druid_supervisors.csv',',','"',null,0);
```

### MySQL

```sql
LOAD DATA INFILE '/tmp/csv/druid_segments.csv' INTO TABLE druid_segments FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\"' (id,dataSource,created_date,start,end,partitioned,version,used,payload); SHOW WARNINGS;

LOAD DATA INFILE '/tmp/csv/druid_rules.csv' INTO TABLE druid_rules FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\"' (id,dataSource,version,payload); SHOW WARNINGS;

LOAD DATA INFILE '/tmp/csv/druid_config.csv' INTO TABLE druid_config FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\"' (name,payload); SHOW WARNINGS;

LOAD DATA INFILE '/tmp/csv/druid_dataSource.csv' INTO TABLE druid_dataSource FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\"' (dataSource,created_date,commit_metadata_payload,commit_metadata_sha1); SHOW WARNINGS;

LOAD DATA INFILE '/tmp/csv/druid_supervisors.csv' INTO TABLE druid_supervisors FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\"' (id,spec_id,created_date,payload); SHOW WARNINGS;
```

### PostgreSQL

```sql
COPY druid_segments(id,dataSource,created_date,start,"end",partitioned,version,used,payload) FROM '/tmp/csv/druid_segments.csv' DELIMITER ',' CSV;

COPY druid_rules(id,dataSource,version,payload) FROM '/tmp/csv/druid_rules.csv' DELIMITER ',' CSV;

COPY druid_config(name,payload) FROM '/tmp/csv/druid_config.csv' DELIMITER ',' CSV;

COPY druid_dataSource(dataSource,created_date,commit_metadata_payload,commit_metadata_sha1) FROM '/tmp/csv/druid_dataSource.csv' DELIMITER ',' CSV;

COPY druid_supervisors(id,spec_id,created_date,payload) FROM '/tmp/csv/druid_supervisors.csv' DELIMITER ',' CSV;
```
92 changes: 92 additions & 0 deletions docs/content/operations/metadata-migration.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,92 @@
---
layout: doc_page
title: "Metadata Migration"
---

<!--
~ Licensed to the Apache Software Foundation (ASF) under one
~ or more contributor license agreements. See the NOTICE file
~ distributed with this work for additional information
~ regarding copyright ownership. The ASF licenses this file
~ to you under the Apache License, Version 2.0 (the
~ "License"); you may not use this file except in compliance
~ with the License. You may obtain a copy of the License at
~
~ http://www.apache.org/licenses/LICENSE-2.0
~
~ Unless required by applicable law or agreed to in writing,
~ software distributed under the License is distributed on an
~ "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
~ KIND, either express or implied. See the License for the
~ specific language governing permissions and limitations
~ under the License.
-->

# Metadata Migration

If you have been running an evaluation Druid cluster using the built-in Derby metadata storage and wish to migrate to a
more production-capable metadata store such as MySQL or PostgreSQL, this document describes the necessary steps.

## Shut down cluster services

To ensure a clean migration, shut down the non-coordinator services to ensure that metadata state will not
change as you do the migration.

When migrating from Derby, the coordinator processes will still need to be up initially, as they host the Derby database.

## Exporting metadata

Druid provides an [Export Metadata Tool](../operations/export-metadata.html) for exporting metadata from Derby into CSV files
which can then be imported into your new metadata store.

The tool also provides options for rewriting the deep storage locations of segments; this is useful
for [deep storage migration](../operations/deep-storage-migration.html).

Run the `export-metadata` tool on your existing cluster, and save the CSV files it generates. After a successful export, you can shut down the coordinator.

## Initializing the new metadata store

### Create database

Before importing the existing cluster metadata, you will need to set up the new metadata store.

The [MySQL extension](../development/extensions-core/mysql.html) and [PostgreSQL extension](../development/extensions-core/postgresql.html) docs have instructions for initial database setup.

### Update configuration

Update your Druid runtime properties with the new metadata configuration.

### Create Druid tables

Druid provides a `metadata-init` tool for creating Druid's metadata tables. After initializing the Druid database, you can run the commands shown below from the root of the Druid package to initialize the tables.

In the example commands below:
- `lib` is the the Druid lib directory
- `extensions` is the Druid extensions directory
- `base` corresponds to the value of `druid.metadata.storage.tables.base` in the configuration, `druid` by default.
- The `--connectURI` parameter corresponds to the value of `druid.metadata.storage.connector.connectURI`.
- The `--user` parameter corresponds to the value of `druid.metadata.storage.connector.user`.
- The `--password` parameter corresponds to the value of `druid.metadata.storage.connector.password`.

#### MySQL

```bash
cd ${DRUID_ROOT}
java -classpath "lib/*" -Dlog4j.configurationFile=conf/druid/cluster/_common/log4j2.xml -Ddruid.extensions.directory="extensions" -Ddruid.extensions.loadList=[\"mysql-metadata-storage\"] -Ddruid.metadata.storage.type=mysql org.apache.druid.cli.Main tools metadata-init --connectURI="<mysql-uri>" --user <user> --password <pass> --base druid
```

#### PostgreSQL

```bash
cd ${DRUID_ROOT}
java -classpath "lib/*" -Dlog4j.configurationFile=conf/druid/cluster/_common/log4j2.xml -Ddruid.extensions.directory="extensions" -Ddruid.extensions.loadList=[\"postgresql-metadata-storage\"] -Ddruid.metadata.storage.type=postgresql org.apache.druid.cli.Main tools metadata-init --connectURI="<postgresql-uri>" --user <user> --password <pass> --base druid
```

### Import metadata

After initializing the tables, please refer to the [import commands](../operations/export-metadata.html#importing-metadata) for your target database.

### Restart cluster

After importing the metadata successfully, you can now restart your cluster.

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