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Bump beam.version from 2.59.0 to 2.60.0 #928

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@dependabot dependabot bot commented on behalf of github Nov 22, 2024

Bumps beam.version from 2.59.0 to 2.60.0.
Updates org.apache.beam:beam-sdks-java-bom from 2.59.0 to 2.60.0

Release notes

Sourced from org.apache.beam:beam-sdks-java-bom's releases.

Beam 2.60.0 release

We are happy to present the new 2.60.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.60.0, check out the detailed release notes.

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

N/A

... (truncated)

Changelog

Sourced from org.apache.beam:beam-sdks-java-bom's changelog.

[2.60.0] - 2024-10-17

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

I/Os

  • PubsubIO can validate that the Pub/Sub topic exists before running the Read/Write pipeline (Java) (#32465)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

  • BigQuery Enrichment (Python): The following issues are present when using the BigQuery enrichment transform (#32780):

... (truncated)

Commits

Updates org.apache.beam:beam-sdks-java-core from 2.59.0 to 2.60.0

Release notes

Sourced from org.apache.beam:beam-sdks-java-core's releases.

Beam 2.60.0 release

We are happy to present the new 2.60.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.60.0, check out the detailed release notes.

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

N/A

... (truncated)

Changelog

Sourced from org.apache.beam:beam-sdks-java-core's changelog.

[2.60.0] - 2024-10-17

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

I/Os

  • PubsubIO can validate that the Pub/Sub topic exists before running the Read/Write pipeline (Java) (#32465)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

  • BigQuery Enrichment (Python): The following issues are present when using the BigQuery enrichment transform (#32780):

... (truncated)

Commits

Updates org.apache.beam:beam-runners-direct-java from 2.59.0 to 2.60.0

Release notes

Sourced from org.apache.beam:beam-runners-direct-java's releases.

Beam 2.60.0 release

We are happy to present the new 2.60.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.60.0, check out the detailed release notes.

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

N/A

... (truncated)

Changelog

Sourced from org.apache.beam:beam-runners-direct-java's changelog.

[2.60.0] - 2024-10-17

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

I/Os

  • PubsubIO can validate that the Pub/Sub topic exists before running the Read/Write pipeline (Java) (#32465)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

  • BigQuery Enrichment (Python): The following issues are present when using the BigQuery enrichment transform (#32780):

... (truncated)

Commits

Updates org.apache.beam:beam-runners-google-cloud-dataflow-java from 2.59.0 to 2.60.0

Release notes

Sourced from org.apache.beam:beam-runners-google-cloud-dataflow-java's releases.

Beam 2.60.0 release

We are happy to present the new 2.60.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.60.0, check out the detailed release notes.

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

N/A

... (truncated)

Changelog

Sourced from org.apache.beam:beam-runners-google-cloud-dataflow-java's changelog.

[2.60.0] - 2024-10-17

Highlights

  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • [Managed Iceberg] Added support for streaming writes (#32451)
  • [Managed Iceberg] Added auto-sharding for streaming writes (#32612)
  • [Managed Iceberg] Added support for writing to dynamic destinations (#32565)

I/Os

  • PubsubIO can validate that the Pub/Sub topic exists before running the Read/Write pipeline (Java) (#32465)

New Features / Improvements

  • Dataflow worker can install packages from Google Artifact Registry Python repositories (Python) (#32123).
  • Added support for Zstd codec in SerializableAvroCodecFactory (Java) (#32349)
  • Added support for using vLLM in the RunInference transform (Python) (#32528)
  • Prism release binaries and container bootloaders are now being built with the latest Go 1.23 patch. (#32575)
  • Prism
    • Prism now supports Bundle Finalization. (#32425)
  • Significantly improved performance of Kafka IO reads that enable commitOffsetsInFinalize by removing the data reshuffle from SDF implementation. (#31682).
  • Added support for dynamic writing in MqttIO (Java) (#19376)
  • Optimized Spark Runner parDo transform evaluator (Java) (#32537)
  • [Managed Iceberg] More efficient manifest file writes/commits (#32666)

Breaking Changes

  • In Python, assert_that now throws if it is not in a pipeline context instead of silently succeeding (#30771)
  • In Python and YAML, ReadFromJson now override the dtype from None to an explicit False. Most notably, string values like "123" are preserved as strings rather than silently coerced (and possibly truncated) to numeric values. To retain the old behavior, pass dtype=True (or any other value accepted by pandas.read_json).
  • Users of KafkaIO Read transform that enable commitOffsetsInFinalize might encounter pipeline graph compatibility issues when updating the pipeline. To mitigate, set the updateCompatibilityVersion option to the SDK version used for the original pipeline, example --updateCompatabilityVersion=2.58.1

Deprecations

  • Python 3.8 is reaching EOL and support is being removed in Beam 2.61.0. The 2.60.0 release will warn users when running on 3.8. (#31192)

Bugfixes

  • (Java) Fixed custom delimiter issues in TextIO (#32249, #32251).
  • (Java, Python, Go) Fixed PeriodicSequence backlog bytes reporting, which was preventing Dataflow Runner autoscaling from functioning properly (#32506).
  • (Java) Fix improper decoding of rows with schemas containing nullable fields when encoded with a schema with equal encoding positions but modified field order. (#32388).

Known Issues

  • BigQuery Enrichment (Python): The following issues are present when using the BigQuery enrichment transform (#32780):

... (truncated)

Commits

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Bumps `beam.version` from 2.59.0 to 2.60.0.

Updates `org.apache.beam:beam-sdks-java-bom` from 2.59.0 to 2.60.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.59.0...v2.60.0)

Updates `org.apache.beam:beam-sdks-java-core` from 2.59.0 to 2.60.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.59.0...v2.60.0)

Updates `org.apache.beam:beam-runners-direct-java` from 2.59.0 to 2.60.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.59.0...v2.60.0)

Updates `org.apache.beam:beam-runners-google-cloud-dataflow-java` from 2.59.0 to 2.60.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.59.0...v2.60.0)

---
updated-dependencies:
- dependency-name: org.apache.beam:beam-sdks-java-bom
  dependency-type: direct:production
  update-type: version-update:semver-minor
- dependency-name: org.apache.beam:beam-sdks-java-core
  dependency-type: direct:production
  update-type: version-update:semver-minor
- dependency-name: org.apache.beam:beam-runners-direct-java
  dependency-type: direct:production
  update-type: version-update:semver-minor
- dependency-name: org.apache.beam:beam-runners-google-cloud-dataflow-java
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Nov 22, 2024
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codecov bot commented Nov 22, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 91.47%. Comparing base (9c72eac) to head (cc64b1f).

Additional details and impacted files
@@            Coverage Diff            @@
##             master     #928   +/-   ##
=========================================
  Coverage     91.47%   91.47%           
  Complexity      243      243           
=========================================
  Files            26       26           
  Lines           927      927           
  Branches         67       67           
=========================================
  Hits            848      848           
  Misses           52       52           
  Partials         27       27           
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