Bump org.apache.beam:beam-sdks-java-google-cloud-platform-bom from 2.42.0 to 2.51.0

[dependabot[bot]]

Bumps org.apache.beam:beam-sdks-java-google-cloud-platform-bom from 2.42.0 to 2.51.0.

Release notes

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

Beam 2.50.0 release

We are happy to present the new 2.50.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.50.0, check out the detailed release notes.

Highlights

• Spark 3.2.2 is used as default version for Spark runner (#23804).
• The Go SDK has a new default local runner, called Prism (#24789).
• All Beam released container images are now multi-arch images that support both x86 and ARM CPU architectures.

I/Os

• Java KafkaIO now supports picking up topics via topicPattern (#26948)
• Support for read from Cosmos DB Core SQL API (#23604)
• Upgraded to HBase 2.5.5 for HBaseIO. (Java) (#27711)
• Added support for GoogleAdsIO source (Java) (#27681).

New Features / Improvements

• The Go SDK now requires Go 1.20 to build. (#27558)
• The Go SDK has a new default local runner, Prism. (#24789).
  • Prism is a portable runner that executes each transform independantly, ensuring coders.
  • At this point it supercedes the Go direct runner in functionality. The Go direct runner is now deprecated.
  • See https://github.com/apache/beam/blob/master/sdks/go/pkg/beam/runners/prism/README.md for the goals and features of Prism.
• Hugging Face Model Handler for RunInference added to Python SDK. (#26632)
• Hugging Face Pipelines support for RunInference added to Python SDK. (#27399)
• Vertex AI Model Handler for RunInference now supports private endpoints (#27696)
• MLTransform transform added with support for common ML pre/postprocessing operations (#26795)
• Upgraded the Kryo extension for the Java SDK to Kryo 5.5.0. This brings in bug fixes, performance improvements, and serialization of Java 14 records. (#27635)
• All Beam released container images are now multi-arch images that support both x86 and ARM CPU architectures. (#27674). The multi-arch container images include:
  • All versions of Go, Python, Java and Typescript SDK containers.
  • All versions of Flink job server containers.
  • Java and Python expansion service containers.
  • Transform service controller container.
  • Spark3 job server container.
• Added support for batched writes to AWS SQS for improved throughput (Java, AWS 2).(#21429)

Breaking Changes

• Python SDK: Legacy runner support removed from Dataflow, all pipelines must use runner v2.
• Python SDK: Dataflow Runner will no longer stage Beam SDK from PyPI in the --staging_location at pipeline submission. Custom container images that are not based on Beam's default image must include Apache Beam installation.(#26996)

Deprecations

• The Go Direct Runner is now Deprecated. It remains available to reduce migration churn.

... (truncated)

Changelog

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

[2.51.0] - Unreleased

Highlights

• New highly anticipated feature X added to Python SDK (#X).
• New highly anticipated feature Y added to Java SDK (#Y).

I/Os

• Support for X source added (Java/Python) (#X).

New Features / Improvements

• In Python, RunInference now supports loading many models in the same transform using a KeyedModelHandler (#27628).
• In Python, the VertexAIModelHandlerJSON now supports passing in inference_args. These will be passed through to the Vertex endpoint as parameters.
• Added support to run mypy on user pipelines (#27906)

Breaking Changes

• Removed fastjson library dependency for Beam SQL. Table property is changed to be based on jackson ObjectNode (Java) (#24154).
• Removed TensorFlow from Beam Python container images PR. If you have been negatively affected by this change, please comment on #20605.
• Removed the parameter t reflect.Type from parquetio.Write. The element type is derived from the input PCollection (Go) (#28490)
• Refactor BeamSqlSeekableTable.setUp adding a parameter joinSubsetType. #28283

Deprecations

• X behavior is deprecated and will be removed in X versions (#X).

Bugfixes

• Fixed exception chaining issue in GCS connector (Python) (#26769).
• Fixed streaming inserts exception handling, GoogleAPICallErrors are now retried according to retry strategy and routed to failed rows where appropriate rather than causing a pipeline error (Python) (#21080).
• Fixed a bug in Python SDK's cross-language Bigtable sink that mishandled records that don't have an explicit timestamp set: #28632.

Security Fixes

• Python containers updated, fixing CVE-2021-30474, CVE-2021-30475, CVE-2021-30473, CVE-2020-36133, CVE-2020-36131, CVE-2020-36130, and CVE-2020-36135
• Used go 1.21.1 to build, fixing CVE-2023-39320

Known Issues

• (#X).

[2.50.0] - 2023-08-30

Highlights

• Spark 3.2.2 is used as default version for Spark runner (#23804).
• The Go SDK has a new default local runner, called Prism (#24789).
• All Beam released container images are now multi-arch images that support both x86 and ARM CPU architectures.

... (truncated)

Commits

• cd653e3 Set version for 2.51.0 RC1
• 2420c90 Cherry picking PR #28618 into 2.51.0 (setting numShards for Python BigQuery x...
• 70f4a1a CP for #28624 into release 2.51.0 (Bigtable Python timestamp bug fix) (#28634)
• 34ff286 Merge pull request #28658: [release-2.51.0] Cherrypick #28571 to release branch.
• 94adacd Use a single marker for Vertex AI tests to not run them twice.
• 22abcde Merge pull request #28628: [Cherry-pick #28625 for 2.51.0] Update Python base...
• 042ac52 Update Python container image deps in preparation for 2.51.0
• 6306b21 Merge pull request #28594: [Release-2.51.0] Cherry pick #28588: Fix sync it f...
• 693380f Fix sync it (#28588)
• 20e11a6 Set Dataflow container to release version.
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Superseded by #2512.