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Bump beam.version from 2.65.0 to 2.66.0 #1002

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@dependabot dependabot bot commented on behalf of github Jul 2, 2025

Bumps beam.version from 2.65.0 to 2.66.0.
Updates org.apache.beam:beam-sdks-java-bom from 2.65.0 to 2.66.0

Release notes

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

Beam 2.66.0 release

We are happy to present the new 2.66.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.66.0, check out the detailed release notes.

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).

... (truncated)

Changelog

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

[2.66.0] - 2025-07-01

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).
Commits

Updates org.apache.beam:beam-sdks-java-core from 2.65.0 to 2.66.0

Release notes

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

Beam 2.66.0 release

We are happy to present the new 2.66.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.66.0, check out the detailed release notes.

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).

... (truncated)

Changelog

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

[2.66.0] - 2025-07-01

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).
Commits

Updates org.apache.beam:beam-runners-direct-java from 2.65.0 to 2.66.0

Release notes

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

Beam 2.66.0 release

We are happy to present the new 2.66.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.66.0, check out the detailed release notes.

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).

... (truncated)

Changelog

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

[2.66.0] - 2025-07-01

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).
Commits

Updates org.apache.beam:beam-runners-google-cloud-dataflow-java from 2.65.0 to 2.66.0

Release notes

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

Beam 2.66.0 release

We are happy to present the new 2.66.0 release of Beam. This release includes both improvements and new functionality.

For more information on changes in 2.66.0, check out the detailed release notes.

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).

... (truncated)

Changelog

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

[2.66.0] - 2025-07-01

Beam 3.0.0 Development Highlights

  • [Java] Java 8 support is now deprecated. It is still supported until Beam 3. From now, pipeline submitted by Java 8 client uses Java 11 SDK container for remote pipeline execution (35064).

Highlights

  • [Python] Several quality-of-life improvements to the vLLM model handler. If you use Beam RunInference with vLLM model handlers, we strongly recommend updating past this release.

I/Os

  • [IcebergIO] Now available with Beam SQL! (#34799)
  • [IcebergIO] Support reading with column pruning (#34856)
  • [IcebergIO] Support reading with pushdown filtering (#34827)
  • [IcebergIO] Create tables with a specified partition spec (#34966, #35268)
  • [IcebergIO] Dynamically create namespaces if needed (#35228)

New Features / Improvements

  • [Beam SQL] Introducing Beam Catalogs (#35223)
  • Adding Google Storage Requests Pays feature (Golang)(#30747).
  • [Python] Prism runner now auto-enabled for some Python pipelines using the direct runner (#34921).
  • [YAML] WriteToTFRecord and ReadFromTFRecord Beam YAML support
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).

Breaking Changes

  • Yapf version upgraded to 0.43.0 for formatting (Python) (#34801).
  • Python: Added JupyterLab 4.x extension compatibility for enhanced notebook integration (#34495).
  • Python: Argument abbreviation is no longer enabled within Beam. If you previously abbreviated arguments (e.g. --r for --runner), you will now need to specify the whole argument (#34934).
  • Java: Users of ReadFromKafkaViaSDF transform 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=2.64.0
  • Python: Updated AlloyDBVectorWriterConfig API to align with new PostgresVectorWriter transform. Heres a quick guide to update your code: (#35225)

Bugfixes

  • (Java) Fixed CassandraIO ReadAll does not let a pipeline handle or retry exceptions (#34191).
  • [Python] Fixed vLLM model handlers breaking Beam logging. (#35053).
  • [Python] Fixed vLLM connection leaks that caused a throughput bottleneck and underutilization of GPU (#35053).
  • [Python] Fixed vLLM server recovery mechanism in the event of a process termination (#35234).
  • (Python) Fixed cloudpickle overwriting class states every time loading a same object of dynamic class (#35062).
  • [Python] Fixed pip install apache-beam[interactive] causes crash on google colab (#35148).
  • [IcebergIO] Fixed Beam Iceberg conversion logic for arrays of structs and maps of structs (#35230).
Commits

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@dependabot
Bump beam.version from 2.65.0 to 2.66.0
6b7336a 
Bumps `beam.version` from 2.65.0 to 2.66.0.

Updates `org.apache.beam:beam-sdks-java-bom` from 2.65.0 to 2.66.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.65.0...v2.66.0)

Updates `org.apache.beam:beam-sdks-java-core` from 2.65.0 to 2.66.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.65.0...v2.66.0)

Updates `org.apache.beam:beam-runners-direct-java` from 2.65.0 to 2.66.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.65.0...v2.66.0)

Updates `org.apache.beam:beam-runners-google-cloud-dataflow-java` from 2.65.0 to 2.66.0
- [Release notes](https://github.com/apache/beam/releases)
- [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md)
- [Commits](apache/beam@v2.65.0...v2.66.0)

---
updated-dependencies:
- dependency-name: org.apache.beam:beam-sdks-java-bom
  dependency-version: 2.66.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
- dependency-name: org.apache.beam:beam-sdks-java-core
  dependency-version: 2.66.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
- dependency-name: org.apache.beam:beam-runners-direct-java
  dependency-version: 2.66.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
- dependency-name: org.apache.beam:beam-runners-google-cloud-dataflow-java
  dependency-version: 2.66.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file java Pull requests that update java code labels Jul 2, 2025
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dependabot bot commented on behalf of github Aug 13, 2025

Superseded by #1018.

@dependabot dependabot bot closed this Aug 13, 2025
@dependabot dependabot bot deleted the dependabot/maven/beam.version-2.66.0 branch August 13, 2025 04:16
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