Bump beam.version from 2.56.0 to 2.57.0 #833

dependabot · 2024-06-28T03:26:59Z

Bumps beam.version from 2.56.0 to 2.57.0.
Updates org.apache.beam:beam-sdks-java-bom from 2.56.0 to 2.57.0

Release notes

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

Beam 2.57.0 Release

We are happy to present the new 2.57.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.57.0, check out the detailed release notes.

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

Some pipelines will work on Java and Python, but this is in part to prepare for real runner wrappers in 2.58.0

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

... (truncated)

Changelog

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

[2.57.0] - 2024-06-26

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

Running a 2.57.0+ remote SDK pipeline containing a pre-2.57.0 Java SchemaTransform

All direct uses of Python's SchemaAwareExternalTransform should be updated to use new snake_case parameter names.

Upgraded Jackson Databind to 2.15.4 (Java) (#26743). jackson-2.15 has known breaking changes. An important one is it imposed a buffer limit for parser. If your custom PTransform/DoFn are affected, refer to #31580 for mitigation.

Commits

e3314d4 Set version for 2.57.0 RC1
96766f2 Merge pull request #31626: [release-2.57.0] Cherrypick #31490 into the releas...
40653e7 Merge pull request #31642: Use correct name for tox doc task.
4b132b2 Use correct name for tox doc task.
2ff8b61 Plumb Redistribute "allow duplicates" property to Dataflow (#31490)
df480af Merge pull request #31562: Cherrypick #31550 and #31602 onto release branch
f1da72d Fix internal test failure caused by PR 31550 (#31602)
6df1214 Merge pull request #31589: [Release-2.57.0] Cherry-pick #31580 into release b...
d64f8ca Merge pull request #31598: [release-2.57.0] Cherrypick #31581 into the releas...
d7da9d3 Use a type-compliant sentinel.
Additional commits viewable in compare view

Updates org.apache.beam:beam-sdks-java-core from 2.56.0 to 2.57.0

Release notes

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

Beam 2.57.0 Release

We are happy to present the new 2.57.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.57.0, check out the detailed release notes.

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

Some pipelines will work on Java and Python, but this is in part to prepare for real runner wrappers in 2.58.0

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

... (truncated)

Changelog

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

[2.57.0] - 2024-06-26

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

Running a 2.57.0+ remote SDK pipeline containing a pre-2.57.0 Java SchemaTransform

All direct uses of Python's SchemaAwareExternalTransform should be updated to use new snake_case parameter names.

Upgraded Jackson Databind to 2.15.4 (Java) (#26743). jackson-2.15 has known breaking changes. An important one is it imposed a buffer limit for parser. If your custom PTransform/DoFn are affected, refer to #31580 for mitigation.

Commits

e3314d4 Set version for 2.57.0 RC1
96766f2 Merge pull request #31626: [release-2.57.0] Cherrypick #31490 into the releas...
40653e7 Merge pull request #31642: Use correct name for tox doc task.
4b132b2 Use correct name for tox doc task.
2ff8b61 Plumb Redistribute "allow duplicates" property to Dataflow (#31490)
df480af Merge pull request #31562: Cherrypick #31550 and #31602 onto release branch
f1da72d Fix internal test failure caused by PR 31550 (#31602)
6df1214 Merge pull request #31589: [Release-2.57.0] Cherry-pick #31580 into release b...
d64f8ca Merge pull request #31598: [release-2.57.0] Cherrypick #31581 into the releas...
d7da9d3 Use a type-compliant sentinel.
Additional commits viewable in compare view

Updates org.apache.beam:beam-runners-direct-java from 2.56.0 to 2.57.0

Release notes

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

Beam 2.57.0 Release

We are happy to present the new 2.57.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.57.0, check out the detailed release notes.

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

Some pipelines will work on Java and Python, but this is in part to prepare for real runner wrappers in 2.58.0

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

... (truncated)

Changelog

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

[2.57.0] - 2024-06-26

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

Running a 2.57.0+ remote SDK pipeline containing a pre-2.57.0 Java SchemaTransform

All direct uses of Python's SchemaAwareExternalTransform should be updated to use new snake_case parameter names.

Upgraded Jackson Databind to 2.15.4 (Java) (#26743). jackson-2.15 has known breaking changes. An important one is it imposed a buffer limit for parser. If your custom PTransform/DoFn are affected, refer to #31580 for mitigation.

Commits

e3314d4 Set version for 2.57.0 RC1
96766f2 Merge pull request #31626: [release-2.57.0] Cherrypick #31490 into the releas...
40653e7 Merge pull request #31642: Use correct name for tox doc task.
4b132b2 Use correct name for tox doc task.
2ff8b61 Plumb Redistribute "allow duplicates" property to Dataflow (#31490)
df480af Merge pull request #31562: Cherrypick #31550 and #31602 onto release branch
f1da72d Fix internal test failure caused by PR 31550 (#31602)
6df1214 Merge pull request #31589: [Release-2.57.0] Cherry-pick #31580 into release b...
d64f8ca Merge pull request #31598: [release-2.57.0] Cherrypick #31581 into the releas...
d7da9d3 Use a type-compliant sentinel.
Additional commits viewable in compare view

Updates org.apache.beam:beam-runners-google-cloud-dataflow-java from 2.56.0 to 2.57.0

Release notes

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

Beam 2.57.0 Release

We are happy to present the new 2.57.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.57.0, check out the detailed release notes.

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

Some pipelines will work on Java and Python, but this is in part to prepare for real runner wrappers in 2.58.0

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

... (truncated)

Changelog

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

[2.57.0] - 2024-06-26

Highlights

Apache Beam adds Python 3.12 support (#29149).

Added FlinkRunner for Flink 1.18 (#30789).

I/Os

Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

Added Feast feature store handler for enrichment transform (Python) (#30957).

BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)

Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.

Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.

DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).

Added BigQuery handler for enrichment transform (Python) (#31295)

Disable soft delete policy when creating the default bucket for a project (Java) (#31324).

Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

Go SDK Prism Runner

Pre-built Prism binaries are now part of the release and are available via the Github release page. (#29697).

ProcessingTime is now handled synthetically with TestStream pipelines and Non-TestStream pipelines, for fast test pipeline execution by default. (#30083).

Prism does NOT yet support "real time" execution for this release.

Improve processing for large elements to reduce the chances for exceeding 2GB protobuf limits (Python)([https://redirect.github.com/[Bug]: Beam Python pipelines with large elements sometimes fail with: Exception serializing message: Elements exceeds maximum protobuf size of 2GB apache/beam#31607]).

Breaking Changes

Java's View.asList() side inputs are now optimized for iterating rather than indexing when in the global window. This new implementation still supports all (immutable) List methods as before, but some of the random access methods like get() and size() will be slower. To use the old implementation one can use View.asList().withRandomAccess().

SchemaTransforms implemented with TypedSchemaTransformProvider now produce a configuration Schema with snake_case naming convention (#31374). This will make the following cases problematic:

Running a pre-2.57.0 remote SDK pipeline containing a 2.57.0+ Java SchemaTransform, and vice versa:

Running a 2.57.0+ remote SDK pipeline containing a pre-2.57.0 Java SchemaTransform

All direct uses of Python's SchemaAwareExternalTransform should be updated to use new snake_case parameter names.

Upgraded Jackson Databind to 2.15.4 (Java) (#26743). jackson-2.15 has known breaking changes. An important one is it imposed a buffer limit for parser. If your custom PTransform/DoFn are affected, refer to #31580 for mitigation.

Commits

e3314d4 Set version for 2.57.0 RC1
96766f2 Merge pull request #31626: [release-2.57.0] Cherrypick #31490 into the releas...
40653e7 Merge pull request #31642: Use correct name for tox doc task.
4b132b2 Use correct name for tox doc task.
2ff8b61 Plumb Redistribute "allow duplicates" property to Dataflow (#31490)
df480af Merge pull request #31562: Cherrypick #31550 and #31602 onto release branch
f1da72d Fix internal test failure caused by PR 31550 (#31602)
6df1214 Merge pull request #31589: [Release-2.57.0] Cherry-pick #31580 into release b...
d64f8ca Merge pull request #31598: [release-2.57.0] Cherrypick #31581 into the releas...
d7da9d3 Use a type-compliant sentinel.
Additional commits viewable in compare view

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Bumps `beam.version` from 2.56.0 to 2.57.0. Updates `org.apache.beam:beam-sdks-java-bom` from 2.56.0 to 2.57.0 - [Release notes](https://github.com/apache/beam/releases) - [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md) - [Commits](apache/beam@v2.56.0...v2.57.0) Updates `org.apache.beam:beam-sdks-java-core` from 2.56.0 to 2.57.0 - [Release notes](https://github.com/apache/beam/releases) - [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md) - [Commits](apache/beam@v2.56.0...v2.57.0) Updates `org.apache.beam:beam-runners-direct-java` from 2.56.0 to 2.57.0 - [Release notes](https://github.com/apache/beam/releases) - [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md) - [Commits](apache/beam@v2.56.0...v2.57.0) Updates `org.apache.beam:beam-runners-google-cloud-dataflow-java` from 2.56.0 to 2.57.0 - [Release notes](https://github.com/apache/beam/releases) - [Changelog](https://github.com/apache/beam/blob/master/CHANGES.md) - [Commits](apache/beam@v2.56.0...v2.57.0) --- 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] <[email protected]>

codecov · 2024-07-15T10:59:44Z

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 91.47%. Comparing base (56adec9) to head (d492a4c).

Additional details and impacted files

@@            Coverage Diff            @@
##             master     #833   +/-   ##
=========================================
  Coverage     91.47%   91.47%           
  Complexity      243      243           
=========================================
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dependabot · 2024-07-17T11:25:36Z

OK, I won't notify you again about this release, but will get in touch when a new version is available. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.

dependabot bot added the dependencies Pull requests that update a dependency file label Jun 28, 2024

dependabot bot force-pushed the dependabot/maven/beam.version-2.57.0 branch from e175250 to d492a4c Compare July 15, 2024 10:57

labianchin closed this Jul 17, 2024

dependabot bot deleted the dependabot/maven/beam.version-2.57.0 branch July 17, 2024 11:25

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Bump beam.version from 2.56.0 to 2.57.0 #833

Bump beam.version from 2.56.0 to 2.57.0 #833

dependabot bot commented on behalf of github Jun 28, 2024 •

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codecov bot commented Jul 15, 2024

dependabot bot commented on behalf of github Jul 17, 2024

Bump beam.version from 2.56.0 to 2.57.0 #833

Bump beam.version from 2.56.0 to 2.57.0 #833

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dependabot bot commented on behalf of github Jun 28, 2024 • edited Loading

Beam 2.57.0 Release

Highlights

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Breaking Changes

[2.57.0] - 2024-06-26

Highlights

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Breaking Changes

Beam 2.57.0 Release

Highlights

I/Os

New Features / Improvements

Breaking Changes

[2.57.0] - 2024-06-26

Highlights

I/Os

New Features / Improvements

Breaking Changes

Beam 2.57.0 Release

Highlights

I/Os

New Features / Improvements

Breaking Changes

[2.57.0] - 2024-06-26

Highlights

I/Os

New Features / Improvements

Breaking Changes

Beam 2.57.0 Release

Highlights

I/Os

New Features / Improvements

Breaking Changes

[2.57.0] - 2024-06-26

Highlights

I/Os

New Features / Improvements

Breaking Changes

codecov bot commented Jul 15, 2024

Codecov Report

dependabot bot commented on behalf of github Jul 17, 2024

dependabot bot commented on behalf of github Jun 28, 2024 •

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