Publishing github LinkedIn Kafka artifacts to bintray#1
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jonlee2 merged 2 commits intolinkedin:2.0-lifrom Mar 7, 2019
Merged
Publishing github LinkedIn Kafka artifacts to bintray#1jonlee2 merged 2 commits intolinkedin:2.0-lifrom
jonlee2 merged 2 commits intolinkedin:2.0-lifrom
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To publish a new release, use the following command: ./gradlew -Pversion=<version> uploadArchivesAll
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you also want to ammend the commit msg to make it clear this is to be called by the CI pipeline and not individual devs |
radai-rosenblatt
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Mar 7, 2019
xiowu0
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Jun 11, 2019
…cts to bintray (#1) TICKET = LI_DESCRIPTION = [NOTE] This is a temporary measure to publish artifacts until CI is properly set up to do the job automatically. Users are not expected to run this themselves. EXIT_CRITERIA = MANUAL ["describe exit criteria"]
xiowu0
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Jul 17, 2019
TICKET = LI_DESCRIPTION = Add build changes to publish github LinkedIn Kafka artifacts to bintray (#1) [NOTE] This is a temporary measure to publish artifacts until CI is properly set up to do the job automatically. Users are not expected to run this themselves. Add changes for CI builds and publishing artifacts to bintray. (#2) Travis will kick off a build and publish artifacts to bintray upon creating a tag in the "x.y.z.w" format. Try different encrypted bintray-related env variables for Travis (#4) Travis couldn't access one of the initially encrypted variables for some reason. Set Bintray-related env variables via repository setting instead of in .travis.yml (#5) Use the maven repo under the LinkedIn Bintray account to publish artifacts (#25) EXIT_CRITERIA = MANUAL [""]
kidkun
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Dec 14, 2019
…pache#7305) A partition log in initialized in following steps: 1. Fetch log config from ZK 2. Call LogManager.getOrCreateLog which creates the Log object, then 3. Registers the Log object Step linkedin#3 enables Configuration update thread to deliver configuration updates to the log. But if any update arrives between step linkedin#1 and linkedin#3 then that update is missed. It breaks following use case: 1. Create a topic with default configuration, and immediately after that 2. Update the configuration of topic There is a race condition here and in random cases update made in second step will get dropped. This change fixes it by tracking updates arriving between step linkedin#1 and linkedin#3 Once a Partition is done initializing log, it checks if it has missed any update. If yes, then the configuration is read from ZK again. Added unit tests to make sure a dirty configuration is refreshed. Tested on local cluster to make sure that topic configuration and updates are handled correctly. Reviewers: Jason Gustafson <jason@confluent.io>
gitlw
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May 4, 2020
…pache#7305) A partition log in initialized in following steps: 1. Fetch log config from ZK 2. Call LogManager.getOrCreateLog which creates the Log object, then 3. Registers the Log object Step linkedin#3 enables Configuration update thread to deliver configuration updates to the log. But if any update arrives between step linkedin#1 and linkedin#3 then that update is missed. It breaks following use case: 1. Create a topic with default configuration, and immediately after that 2. Update the configuration of topic There is a race condition here and in random cases update made in second step will get dropped. This change fixes it by tracking updates arriving between step linkedin#1 and linkedin#3 Once a Partition is done initializing log, it checks if it has missed any update. If yes, then the configuration is read from ZK again. Added unit tests to make sure a dirty configuration is refreshed. Tested on local cluster to make sure that topic configuration and updates are handled correctly. Reviewers: Jason Gustafson <jason@confluent.io>
gitlw
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Jul 28, 2021
…to get end offsets and create topics (apache#9780) The existing `Kafka*BackingStore` classes used by Connect all use `KafkaBasedLog`, which needs to frequently get the end offsets for the internal topic to know whether they are caught up. `KafkaBasedLog` uses its consumer to get the end offsets and to consume the records from the topic. However, the Connect internal topics are often written very infrequently. This means that when the `KafkaBasedLog` used in the `Kafka*BackingStore` classes is already caught up and its last consumer poll is waiting for new records to appear, the call to the consumer to fetch end offsets will block until the consumer returns after a new record is written (unlikely) or the consumer’s `fetch.max.wait.ms` setting (defaults to 500ms) ends and the consumer returns no more records. IOW, the call to `KafkaBasedLog.readToEnd()` may block for some period of time even though it’s already caught up to the end. Instead, we want the `KafkaBasedLog.readToEnd()` to always return quickly when the log is already caught up. The best way to do this is to have the `KafkaBackingStore` use the admin client (rather than the consumer) to fetch end offsets for the internal topic. The consumer and the admin API both use the same `ListOffset` broker API, so the functionality is ultimately the same but we don't have to block for any ongoing consumer activity. Each Connect distributed runtime includes three instances of the `Kafka*BackingStore` classes, which means we have three instances of `KafkaBasedLog`. We don't want three instances of the admin client, and should have all three instances of the `KafkaBasedLog` share a single admin client instance. In fact, each `Kafka*BackingStore` instance currently creates, uses and closes an admin client instance when it checks and initializes that store's internal topic. If we change `Kafka*BackingStores` to share one admin client instance, we can change that initialization logic to also reuse the supplied admin client instance. The final challenge is that `KafkaBasedLog` has been used by projects outside of Apache Kafka. While `KafkaBasedLog` is definitely not in the public API for Connect, we can make these changes in ways that are backward compatible: create new constructors and deprecate the old constructors. Connect can be changed to only use the new constructors, and this will give time for any downstream users to make changes. These changes are implemented as follows: 1. Add a `KafkaBasedLog` constructor to accept in its parameters a supplier from which it can get an admin instance, and deprecate the old constructor. We need a supplier rather than just passing an instance because `KafkaBasedLog` is instantiated before Connect starts up, so we need to create the admin instance only when needed. At the same time, we'll change the existing init function parameter from a no-arg function to accept an admin instance as an argument, allowing that init function to reuse the shared admin instance used by the `KafkaBasedLog`. Note: if no admin supplier is provided (in deprecated constructor that is no longer used in AK), the consumer is still used to get latest offsets. 2. Add to the `Kafka*BackingStore` classes a new constructor with the same parameters but with an admin supplier, and deprecate the old constructor. When the classes instantiate its `KafkaBasedLog` instance, it would pass the admin supplier and pass an init function that takes an admin instance. 3. Create a new `SharedTopicAdmin` that lazily creates the `TopicAdmin` (and underlying Admin client) when required, and closes the admin objects when the `SharedTopicAdmin` is closed. 4. Modify the existing `TopicAdmin` (used only in Connect) to encapsulate the logic of fetching end offsets using the admin client, simplifying the logic in `KafkaBasedLog` mentioned in linkedin#1 above. Doing this also makes it easier to test that logic. 5. Change `ConnectDistributed` to create a `SharedTopicAdmin` instance (that is `AutoCloseable`) before creating the `Kafka*BackingStore` instances, passing the `SharedTopicAdmin` (which is an admin supplier) to all three `Kafka*BackingStore objects`, and finally always closing the `SharedTopicAdmin` upon termination. (Shutdown of the worker occurs outside of the `ConnectDistributed` code, so modify `DistributedHerder` to take in its constructor additional `AutoCloseable` objects that should be closed when the herder is closed, and then modify `ConnectDistributed` to pass the `SharedTopicAdmin` as one of those `AutoCloseable` instances.) 6. Change `MirrorMaker` similarly to `ConnectDistributed`. 7. Change existing unit tests to no longer use deprecated constructors. 8. Add unit tests for new functionality. Author: Randall Hauch <rhauch@gmail.com> Reviewer: Konstantine Karantasis <konstantine@confluent.io>
bringhurst
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Mar 16, 2026
…ker provisioning (apache#21394) ## Summary Fixes bugs where `--jdk-version` and `--jdk-arch` parameters were ignored during system test worker provisioning, and refactors `vagrant/base.sh` to support flexible JDK versions without code changes. --- ## Problem The Vagrant provisioning script (`vagrant/base.sh`) had two bugs that caused JDK version parameters to be ignored: | Bug | Problem | |-----|---------| | **linkedin#1: `--jdk-version` ignored** | `JDK_FULL` was hardcoded to `17-linux-x64`, so passing `--jdk-version 25` still downloaded JDK 17 | | **linkedin#2: `--jdk-arch` ignored** | Architecture parameter was passed but never used in the S3 download URL | --- ## Solution - Validate `JDK_MAJOR` and `JDK_ARCH` input parameters with regex - Dynamically construct `JDK_FULL` from `JDK_MAJOR` and `JDK_ARCH` - Update S3 path to use `/jdk/` subdirectory - Add logging for debugging --- ## Changes ### `vagrant/base.sh` | Change | Description | |--------|-------------| | **Input validation** | Added regex validation for `JDK_MAJOR` and `JDK_ARCH` with sensible defaults | | **Dynamic construction** | `JDK_FULL` is now constructed from `JDK_MAJOR` and `JDK_ARCH` if not explicitly provided | | **Updated S3 path** | Changed URL from `/kafka-packages/jdk-{version}.tar.gz` to `/kafka-packages/jdk/jdk-{version}.tar.gz` | | **Logging** | Added debug output for JDK configuration | | **Backward compatibility** | Vagrantfile can still pass `JDK_FULL` directly; the script validates and uses it if valid | --- ## S3 Path Change ### Old Path ``` s3://kafka-packages/jdk-{version}.tar.gz ``` ### New Path ``` s3://kafka-packages/jdk/jdk-{version}.tar.gz ``` ### Available JDKs in `s3://kafka-packages/jdk/` | File | Version | Architecture | |------|---------|--------------| | `jdk-7u80-linux-x64.tar.gz` | 7u80 | x64 | | `jdk-8u144-linux-x64.tar.gz` | 8u144 | x64 | | `jdk-8u161-linux-x64.tar.gz` | 8u161 | x64 | | `jdk-8u171-linux-x64.tar.gz` | 8u171 | x64 | | `jdk-8u191-linux-x64.tar.gz` | 8u191 | x64 | | `jdk-8u202-linux-x64.tar.gz` | 8u202 | x64 | | `jdk-11.0.2-linux-x64.tar.gz` | 11.0.2 | x64 | | `jdk-17-linux-x64.tar.gz` | 17 | x64 | | `jdk-18.0.2-linux-x64.tar.gz` | 18.0.2 | x64 | | `jdk-21.0.1-linux-x64.tar.gz` | 21.0.1 | x64 | | `jdk-21.0.1-linux-aarch64.tar.gz` | 21.0.1 | aarch64 | | `jdk-25-linux-x64.tar.gz` | 25 | x64 | | `jdk-25-linux-aarch64.tar.gz` | 25 | aarch64 | | `jdk-25.0.1-linux-x64.tar.gz` | 25.0.1 | x64 | | `jdk-25.0.1-linux-aarch64.tar.gz` | 25.0.1 | aarch64 | | `jdk-25.0.2-linux-x64.tar.gz` | 25.0.2 | x64 | | `jdk-25.0.2-linux-aarch64.tar.gz` | 25.0.2 | aarch64 | --- ## Future JDK Releases > **IMPORTANT: No code changes required for future Java major/minor releases!** The validation regex supports all version formats: - **Major versions**: `17`, `25`, `26` - **Minor versions**: `25.0.1`, `25.0.2`, `26.0.1` - **Legacy format**: `8u144`, `8u202` ### Adding New JDK Versions To add support for a new JDK version (e.g., JDK 26, 25.0.3): 1. Download the JDK tarball from Oracle/Adoptium 2. Rename to follow naming convention: `jdk-{VERSION}-linux-{ARCH}.tar.gz` 3. Upload to S3: `aws s3 cp jdk-{VERSION}-linux-{ARCH}.tar.gz s3://kafka-packages/jdk/` 4. Use in tests: `--jdk-version {VERSION} --jdk-arch {ARCH}` No modifications to `base.sh` or any other scripts are needed. --- ## Benefits | Before | After | |--------|-------| | `--jdk-version` ignored | ✅ Correctly uses specified version | | `--jdk-arch` ignored | ✅ Correctly uses specified architecture | | Only major version support | ✅ Full version support (e.g., `25.0.2`) | | Code change needed for new JDK | ✅ Just upload to S3 and pass version | --- ## Testing Tested with different JDK versions to confirm the fix works correctly: | Test | JDK_MAJOR | Expected | Actual | Result | Test Report | |------|-----------|----------|--------|--------|-------------| | JDK 17 | `17` | javac 17.0.4 | javac 17.0.4 | ✅ | | JDK 25 | `25` | javac 25.0.2 | javac 25.0.2 | ✅ | --- ## Backward Compatibility - **Vagrantfile**: Continues to work as before - **Existing workflows**: Default behavior unchanged (JDK 17 on x64 architecture) - **No breaking changes**: All existing configurations continue to work --- Reviewers: Manikumar Reddy <manikumar.reddy@gmail.com>, Chia-Ping Tsai <chia7712@gmail.com>
bringhurst
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Mar 16, 2026
…to get end offsets and create topics (apache#9780) The existing `Kafka*BackingStore` classes used by Connect all use `KafkaBasedLog`, which needs to frequently get the end offsets for the internal topic to know whether they are caught up. `KafkaBasedLog` uses its consumer to get the end offsets and to consume the records from the topic. However, the Connect internal topics are often written very infrequently. This means that when the `KafkaBasedLog` used in the `Kafka*BackingStore` classes is already caught up and its last consumer poll is waiting for new records to appear, the call to the consumer to fetch end offsets will block until the consumer returns after a new record is written (unlikely) or the consumer’s `fetch.max.wait.ms` setting (defaults to 500ms) ends and the consumer returns no more records. IOW, the call to `KafkaBasedLog.readToEnd()` may block for some period of time even though it’s already caught up to the end. Instead, we want the `KafkaBasedLog.readToEnd()` to always return quickly when the log is already caught up. The best way to do this is to have the `KafkaBackingStore` use the admin client (rather than the consumer) to fetch end offsets for the internal topic. The consumer and the admin API both use the same `ListOffset` broker API, so the functionality is ultimately the same but we don't have to block for any ongoing consumer activity. Each Connect distributed runtime includes three instances of the `Kafka*BackingStore` classes, which means we have three instances of `KafkaBasedLog`. We don't want three instances of the admin client, and should have all three instances of the `KafkaBasedLog` share a single admin client instance. In fact, each `Kafka*BackingStore` instance currently creates, uses and closes an admin client instance when it checks and initializes that store's internal topic. If we change `Kafka*BackingStores` to share one admin client instance, we can change that initialization logic to also reuse the supplied admin client instance. The final challenge is that `KafkaBasedLog` has been used by projects outside of Apache Kafka. While `KafkaBasedLog` is definitely not in the public API for Connect, we can make these changes in ways that are backward compatible: create new constructors and deprecate the old constructors. Connect can be changed to only use the new constructors, and this will give time for any downstream users to make changes. These changes are implemented as follows: 1. Add a `KafkaBasedLog` constructor to accept in its parameters a supplier from which it can get an admin instance, and deprecate the old constructor. We need a supplier rather than just passing an instance because `KafkaBasedLog` is instantiated before Connect starts up, so we need to create the admin instance only when needed. At the same time, we'll change the existing init function parameter from a no-arg function to accept an admin instance as an argument, allowing that init function to reuse the shared admin instance used by the `KafkaBasedLog`. Note: if no admin supplier is provided (in deprecated constructor that is no longer used in AK), the consumer is still used to get latest offsets. 2. Add to the `Kafka*BackingStore` classes a new constructor with the same parameters but with an admin supplier, and deprecate the old constructor. When the classes instantiate its `KafkaBasedLog` instance, it would pass the admin supplier and pass an init function that takes an admin instance. 3. Create a new `SharedTopicAdmin` that lazily creates the `TopicAdmin` (and underlying Admin client) when required, and closes the admin objects when the `SharedTopicAdmin` is closed. 4. Modify the existing `TopicAdmin` (used only in Connect) to encapsulate the logic of fetching end offsets using the admin client, simplifying the logic in `KafkaBasedLog` mentioned in linkedin#1 above. Doing this also makes it easier to test that logic. 5. Change `ConnectDistributed` to create a `SharedTopicAdmin` instance (that is `AutoCloseable`) before creating the `Kafka*BackingStore` instances, passing the `SharedTopicAdmin` (which is an admin supplier) to all three `Kafka*BackingStore objects`, and finally always closing the `SharedTopicAdmin` upon termination. (Shutdown of the worker occurs outside of the `ConnectDistributed` code, so modify `DistributedHerder` to take in its constructor additional `AutoCloseable` objects that should be closed when the herder is closed, and then modify `ConnectDistributed` to pass the `SharedTopicAdmin` as one of those `AutoCloseable` instances.) 6. Change `MirrorMaker` similarly to `ConnectDistributed`. 7. Change existing unit tests to no longer use deprecated constructors. 8. Add unit tests for new functionality. Author: Randall Hauch <rhauch@gmail.com> Reviewer: Konstantine Karantasis <konstantine@confluent.io>
bringhurst
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Mar 16, 2026
…to get end offsets and create topics (apache#9780) The existing `Kafka*BackingStore` classes used by Connect all use `KafkaBasedLog`, which needs to frequently get the end offsets for the internal topic to know whether they are caught up. `KafkaBasedLog` uses its consumer to get the end offsets and to consume the records from the topic. However, the Connect internal topics are often written very infrequently. This means that when the `KafkaBasedLog` used in the `Kafka*BackingStore` classes is already caught up and its last consumer poll is waiting for new records to appear, the call to the consumer to fetch end offsets will block until the consumer returns after a new record is written (unlikely) or the consumer’s `fetch.max.wait.ms` setting (defaults to 500ms) ends and the consumer returns no more records. IOW, the call to `KafkaBasedLog.readToEnd()` may block for some period of time even though it’s already caught up to the end. Instead, we want the `KafkaBasedLog.readToEnd()` to always return quickly when the log is already caught up. The best way to do this is to have the `KafkaBackingStore` use the admin client (rather than the consumer) to fetch end offsets for the internal topic. The consumer and the admin API both use the same `ListOffset` broker API, so the functionality is ultimately the same but we don't have to block for any ongoing consumer activity. Each Connect distributed runtime includes three instances of the `Kafka*BackingStore` classes, which means we have three instances of `KafkaBasedLog`. We don't want three instances of the admin client, and should have all three instances of the `KafkaBasedLog` share a single admin client instance. In fact, each `Kafka*BackingStore` instance currently creates, uses and closes an admin client instance when it checks and initializes that store's internal topic. If we change `Kafka*BackingStores` to share one admin client instance, we can change that initialization logic to also reuse the supplied admin client instance. The final challenge is that `KafkaBasedLog` has been used by projects outside of Apache Kafka. While `KafkaBasedLog` is definitely not in the public API for Connect, we can make these changes in ways that are backward compatible: create new constructors and deprecate the old constructors. Connect can be changed to only use the new constructors, and this will give time for any downstream users to make changes. These changes are implemented as follows: 1. Add a `KafkaBasedLog` constructor to accept in its parameters a supplier from which it can get an admin instance, and deprecate the old constructor. We need a supplier rather than just passing an instance because `KafkaBasedLog` is instantiated before Connect starts up, so we need to create the admin instance only when needed. At the same time, we'll change the existing init function parameter from a no-arg function to accept an admin instance as an argument, allowing that init function to reuse the shared admin instance used by the `KafkaBasedLog`. Note: if no admin supplier is provided (in deprecated constructor that is no longer used in AK), the consumer is still used to get latest offsets. 2. Add to the `Kafka*BackingStore` classes a new constructor with the same parameters but with an admin supplier, and deprecate the old constructor. When the classes instantiate its `KafkaBasedLog` instance, it would pass the admin supplier and pass an init function that takes an admin instance. 3. Create a new `SharedTopicAdmin` that lazily creates the `TopicAdmin` (and underlying Admin client) when required, and closes the admin objects when the `SharedTopicAdmin` is closed. 4. Modify the existing `TopicAdmin` (used only in Connect) to encapsulate the logic of fetching end offsets using the admin client, simplifying the logic in `KafkaBasedLog` mentioned in linkedin#1 above. Doing this also makes it easier to test that logic. 5. Change `ConnectDistributed` to create a `SharedTopicAdmin` instance (that is `AutoCloseable`) before creating the `Kafka*BackingStore` instances, passing the `SharedTopicAdmin` (which is an admin supplier) to all three `Kafka*BackingStore objects`, and finally always closing the `SharedTopicAdmin` upon termination. (Shutdown of the worker occurs outside of the `ConnectDistributed` code, so modify `DistributedHerder` to take in its constructor additional `AutoCloseable` objects that should be closed when the herder is closed, and then modify `ConnectDistributed` to pass the `SharedTopicAdmin` as one of those `AutoCloseable` instances.) 6. Change `MirrorMaker` similarly to `ConnectDistributed`. 7. Change existing unit tests to no longer use deprecated constructors. 8. Add unit tests for new functionality. Author: Randall Hauch <rhauch@gmail.com> Reviewer: Konstantine Karantasis <konstantine@confluent.io>
bringhurst
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Mar 16, 2026
…to get end offsets and create topics (apache#9780) The existing `Kafka*BackingStore` classes used by Connect all use `KafkaBasedLog`, which needs to frequently get the end offsets for the internal topic to know whether they are caught up. `KafkaBasedLog` uses its consumer to get the end offsets and to consume the records from the topic. However, the Connect internal topics are often written very infrequently. This means that when the `KafkaBasedLog` used in the `Kafka*BackingStore` classes is already caught up and its last consumer poll is waiting for new records to appear, the call to the consumer to fetch end offsets will block until the consumer returns after a new record is written (unlikely) or the consumer’s `fetch.max.wait.ms` setting (defaults to 500ms) ends and the consumer returns no more records. IOW, the call to `KafkaBasedLog.readToEnd()` may block for some period of time even though it’s already caught up to the end. Instead, we want the `KafkaBasedLog.readToEnd()` to always return quickly when the log is already caught up. The best way to do this is to have the `KafkaBackingStore` use the admin client (rather than the consumer) to fetch end offsets for the internal topic. The consumer and the admin API both use the same `ListOffset` broker API, so the functionality is ultimately the same but we don't have to block for any ongoing consumer activity. Each Connect distributed runtime includes three instances of the `Kafka*BackingStore` classes, which means we have three instances of `KafkaBasedLog`. We don't want three instances of the admin client, and should have all three instances of the `KafkaBasedLog` share a single admin client instance. In fact, each `Kafka*BackingStore` instance currently creates, uses and closes an admin client instance when it checks and initializes that store's internal topic. If we change `Kafka*BackingStores` to share one admin client instance, we can change that initialization logic to also reuse the supplied admin client instance. The final challenge is that `KafkaBasedLog` has been used by projects outside of Apache Kafka. While `KafkaBasedLog` is definitely not in the public API for Connect, we can make these changes in ways that are backward compatible: create new constructors and deprecate the old constructors. Connect can be changed to only use the new constructors, and this will give time for any downstream users to make changes. These changes are implemented as follows: 1. Add a `KafkaBasedLog` constructor to accept in its parameters a supplier from which it can get an admin instance, and deprecate the old constructor. We need a supplier rather than just passing an instance because `KafkaBasedLog` is instantiated before Connect starts up, so we need to create the admin instance only when needed. At the same time, we'll change the existing init function parameter from a no-arg function to accept an admin instance as an argument, allowing that init function to reuse the shared admin instance used by the `KafkaBasedLog`. Note: if no admin supplier is provided (in deprecated constructor that is no longer used in AK), the consumer is still used to get latest offsets. 2. Add to the `Kafka*BackingStore` classes a new constructor with the same parameters but with an admin supplier, and deprecate the old constructor. When the classes instantiate its `KafkaBasedLog` instance, it would pass the admin supplier and pass an init function that takes an admin instance. 3. Create a new `SharedTopicAdmin` that lazily creates the `TopicAdmin` (and underlying Admin client) when required, and closes the admin objects when the `SharedTopicAdmin` is closed. 4. Modify the existing `TopicAdmin` (used only in Connect) to encapsulate the logic of fetching end offsets using the admin client, simplifying the logic in `KafkaBasedLog` mentioned in linkedin#1 above. Doing this also makes it easier to test that logic. 5. Change `ConnectDistributed` to create a `SharedTopicAdmin` instance (that is `AutoCloseable`) before creating the `Kafka*BackingStore` instances, passing the `SharedTopicAdmin` (which is an admin supplier) to all three `Kafka*BackingStore objects`, and finally always closing the `SharedTopicAdmin` upon termination. (Shutdown of the worker occurs outside of the `ConnectDistributed` code, so modify `DistributedHerder` to take in its constructor additional `AutoCloseable` objects that should be closed when the herder is closed, and then modify `ConnectDistributed` to pass the `SharedTopicAdmin` as one of those `AutoCloseable` instances.) 6. Change `MirrorMaker` similarly to `ConnectDistributed`. 7. Change existing unit tests to no longer use deprecated constructors. 8. Add unit tests for new functionality. Author: Randall Hauch <rhauch@gmail.com> Reviewer: Konstantine Karantasis <konstantine@confluent.io>
bringhurst
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Mar 16, 2026
…to get end offsets and create topics (apache#9780) The existing `Kafka*BackingStore` classes used by Connect all use `KafkaBasedLog`, which needs to frequently get the end offsets for the internal topic to know whether they are caught up. `KafkaBasedLog` uses its consumer to get the end offsets and to consume the records from the topic. However, the Connect internal topics are often written very infrequently. This means that when the `KafkaBasedLog` used in the `Kafka*BackingStore` classes is already caught up and its last consumer poll is waiting for new records to appear, the call to the consumer to fetch end offsets will block until the consumer returns after a new record is written (unlikely) or the consumer’s `fetch.max.wait.ms` setting (defaults to 500ms) ends and the consumer returns no more records. IOW, the call to `KafkaBasedLog.readToEnd()` may block for some period of time even though it’s already caught up to the end. Instead, we want the `KafkaBasedLog.readToEnd()` to always return quickly when the log is already caught up. The best way to do this is to have the `KafkaBackingStore` use the admin client (rather than the consumer) to fetch end offsets for the internal topic. The consumer and the admin API both use the same `ListOffset` broker API, so the functionality is ultimately the same but we don't have to block for any ongoing consumer activity. Each Connect distributed runtime includes three instances of the `Kafka*BackingStore` classes, which means we have three instances of `KafkaBasedLog`. We don't want three instances of the admin client, and should have all three instances of the `KafkaBasedLog` share a single admin client instance. In fact, each `Kafka*BackingStore` instance currently creates, uses and closes an admin client instance when it checks and initializes that store's internal topic. If we change `Kafka*BackingStores` to share one admin client instance, we can change that initialization logic to also reuse the supplied admin client instance. The final challenge is that `KafkaBasedLog` has been used by projects outside of Apache Kafka. While `KafkaBasedLog` is definitely not in the public API for Connect, we can make these changes in ways that are backward compatible: create new constructors and deprecate the old constructors. Connect can be changed to only use the new constructors, and this will give time for any downstream users to make changes. These changes are implemented as follows: 1. Add a `KafkaBasedLog` constructor to accept in its parameters a supplier from which it can get an admin instance, and deprecate the old constructor. We need a supplier rather than just passing an instance because `KafkaBasedLog` is instantiated before Connect starts up, so we need to create the admin instance only when needed. At the same time, we'll change the existing init function parameter from a no-arg function to accept an admin instance as an argument, allowing that init function to reuse the shared admin instance used by the `KafkaBasedLog`. Note: if no admin supplier is provided (in deprecated constructor that is no longer used in AK), the consumer is still used to get latest offsets. 2. Add to the `Kafka*BackingStore` classes a new constructor with the same parameters but with an admin supplier, and deprecate the old constructor. When the classes instantiate its `KafkaBasedLog` instance, it would pass the admin supplier and pass an init function that takes an admin instance. 3. Create a new `SharedTopicAdmin` that lazily creates the `TopicAdmin` (and underlying Admin client) when required, and closes the admin objects when the `SharedTopicAdmin` is closed. 4. Modify the existing `TopicAdmin` (used only in Connect) to encapsulate the logic of fetching end offsets using the admin client, simplifying the logic in `KafkaBasedLog` mentioned in linkedin#1 above. Doing this also makes it easier to test that logic. 5. Change `ConnectDistributed` to create a `SharedTopicAdmin` instance (that is `AutoCloseable`) before creating the `Kafka*BackingStore` instances, passing the `SharedTopicAdmin` (which is an admin supplier) to all three `Kafka*BackingStore objects`, and finally always closing the `SharedTopicAdmin` upon termination. (Shutdown of the worker occurs outside of the `ConnectDistributed` code, so modify `DistributedHerder` to take in its constructor additional `AutoCloseable` objects that should be closed when the herder is closed, and then modify `ConnectDistributed` to pass the `SharedTopicAdmin` as one of those `AutoCloseable` instances.) 6. Change `MirrorMaker` similarly to `ConnectDistributed`. 7. Change existing unit tests to no longer use deprecated constructors. 8. Add unit tests for new functionality. Author: Randall Hauch <rhauch@gmail.com> Reviewer: Konstantine Karantasis <konstantine@confluent.io>
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Mar 16, 2026
…to get end offsets and create topics (apache#9780) The existing `Kafka*BackingStore` classes used by Connect all use `KafkaBasedLog`, which needs to frequently get the end offsets for the internal topic to know whether they are caught up. `KafkaBasedLog` uses its consumer to get the end offsets and to consume the records from the topic. However, the Connect internal topics are often written very infrequently. This means that when the `KafkaBasedLog` used in the `Kafka*BackingStore` classes is already caught up and its last consumer poll is waiting for new records to appear, the call to the consumer to fetch end offsets will block until the consumer returns after a new record is written (unlikely) or the consumer’s `fetch.max.wait.ms` setting (defaults to 500ms) ends and the consumer returns no more records. IOW, the call to `KafkaBasedLog.readToEnd()` may block for some period of time even though it’s already caught up to the end. Instead, we want the `KafkaBasedLog.readToEnd()` to always return quickly when the log is already caught up. The best way to do this is to have the `KafkaBackingStore` use the admin client (rather than the consumer) to fetch end offsets for the internal topic. The consumer and the admin API both use the same `ListOffset` broker API, so the functionality is ultimately the same but we don't have to block for any ongoing consumer activity. Each Connect distributed runtime includes three instances of the `Kafka*BackingStore` classes, which means we have three instances of `KafkaBasedLog`. We don't want three instances of the admin client, and should have all three instances of the `KafkaBasedLog` share a single admin client instance. In fact, each `Kafka*BackingStore` instance currently creates, uses and closes an admin client instance when it checks and initializes that store's internal topic. If we change `Kafka*BackingStores` to share one admin client instance, we can change that initialization logic to also reuse the supplied admin client instance. The final challenge is that `KafkaBasedLog` has been used by projects outside of Apache Kafka. While `KafkaBasedLog` is definitely not in the public API for Connect, we can make these changes in ways that are backward compatible: create new constructors and deprecate the old constructors. Connect can be changed to only use the new constructors, and this will give time for any downstream users to make changes. These changes are implemented as follows: 1. Add a `KafkaBasedLog` constructor to accept in its parameters a supplier from which it can get an admin instance, and deprecate the old constructor. We need a supplier rather than just passing an instance because `KafkaBasedLog` is instantiated before Connect starts up, so we need to create the admin instance only when needed. At the same time, we'll change the existing init function parameter from a no-arg function to accept an admin instance as an argument, allowing that init function to reuse the shared admin instance used by the `KafkaBasedLog`. Note: if no admin supplier is provided (in deprecated constructor that is no longer used in AK), the consumer is still used to get latest offsets. 2. Add to the `Kafka*BackingStore` classes a new constructor with the same parameters but with an admin supplier, and deprecate the old constructor. When the classes instantiate its `KafkaBasedLog` instance, it would pass the admin supplier and pass an init function that takes an admin instance. 3. Create a new `SharedTopicAdmin` that lazily creates the `TopicAdmin` (and underlying Admin client) when required, and closes the admin objects when the `SharedTopicAdmin` is closed. 4. Modify the existing `TopicAdmin` (used only in Connect) to encapsulate the logic of fetching end offsets using the admin client, simplifying the logic in `KafkaBasedLog` mentioned in linkedin#1 above. Doing this also makes it easier to test that logic. 5. Change `ConnectDistributed` to create a `SharedTopicAdmin` instance (that is `AutoCloseable`) before creating the `Kafka*BackingStore` instances, passing the `SharedTopicAdmin` (which is an admin supplier) to all three `Kafka*BackingStore objects`, and finally always closing the `SharedTopicAdmin` upon termination. (Shutdown of the worker occurs outside of the `ConnectDistributed` code, so modify `DistributedHerder` to take in its constructor additional `AutoCloseable` objects that should be closed when the herder is closed, and then modify `ConnectDistributed` to pass the `SharedTopicAdmin` as one of those `AutoCloseable` instances.) 6. Change `MirrorMaker` similarly to `ConnectDistributed`. 7. Change existing unit tests to no longer use deprecated constructors. 8. Add unit tests for new functionality. Author: Randall Hauch <rhauch@gmail.com> Reviewer: Konstantine Karantasis <konstantine@confluent.io>
bringhurst
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… for aborted txns (apache#17676) (linkedin#1 7733) Reviewers: Jun Rao <junrao@gmail.com>
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