Bump github.com/apache/beam/sdks/v2 from 2.0.0-20211012030016-ef4364519c94 to 2.47.0-RC1

[dependabot]

Bumps github.com/apache/beam/sdks/v2 from 2.0.0-20211012030016-ef4364519c94 to 2.47.0-RC1.

Release notes

Sourced from github.com/apache/beam/sdks/v2's releases.

Beam 2.46.0 release

We are happy to present the new 2.46.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.46.0, check out the detailed release notes.

Highlights

• Java SDK containers migrated to Eclipse Temurin as a base. This change migrates away from the deprecated OpenJDK container. Eclipse Temurin is currently based upon Ubuntu 22.04 while the OpenJDK container was based upon Debian 11.
• RunInference PTransform will accept model paths as SideInputs in Python SDK. (#24042)
• RunInference supports ONNX runtime in Python SDK (#22972)
• Tensorflow Model Handler for RunInference in Python SDK (#25366)
• Java SDK modules migrated to use :sdks:java:extensions:avro (#24748)

I/Os

• Added in JmsIO a retry policy for failed publications (Java) (#24971).
• Support for LZMA compression/decompression of text files added to the Python SDK (#25316)
• Added ReadFrom/WriteTo Csv/Json as top-level transforms to the Python SDK.

New Features / Improvements

• Add UDF metrics support for Samza portable mode.
• Option for SparkRunner to avoid the need of SDF output to fit in memory (#23852). This helps e.g. with ParquetIO reads. Turn the feature on by adding experiment use_bounded_concurrent_output_for_sdf.
• Add WatchFilePattern transform, which can be used as a side input to the RunInference PTransfrom to watch for model updates using a file pattern. (#24042)
• Add support for loading TorchScript models with PytorchModelHandler. The TorchScript model path can be passed to PytorchModelHandler using torch_script_model_path=<path_to_model>. (#25321)
• The Go SDK now requires Go 1.19 to build. (#25545)
• The Go SDK now has an initial native Go implementation of a portable Beam Runner called Prism. (#24789)
  • For more details and current state see https://github.com/apache/beam/tree/master/sdks/go/pkg/beam/runners/prism.

Breaking Changes

• The deprecated SparkRunner for Spark 2 (see 2.41.0) was removed (#25263).
• Python's BatchElements performs more aggressive batching in some cases, capping at 10 second rather than 1 second batches by default and excluding fixed cost in this computation to better handle cases where the fixed cost is larger than a single second. To get the old behavior, one can pass target_batch_duration_secs_including_fixed_cost=1 to BatchElements.

Deprecations

• Avro related classes are deprecated in module beam-sdks-java-core and will be eventually removed. Please, migrate to a new module beam-sdks-java-extensions-avro instead by importing the classes from org.apache.beam.sdk.extensions.avro package.

... (truncated)

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[mhutchinson]

This updates spanner and thus is blocked on #2957

[roger2hk]

/gcbrun