beam
https://github.com/apache/beam
Java
Apache Beam is a unified programming model for Batch and Streaming data processing.
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- Issues
- Make expansion service Java launcher configurable in pipeline options.
- Python io.gcp.datastore.v1new.types.Entity.to_client_entity does not handle list of Keys
- Timer API supports explicitly set watermark hold time in Python SDK
- Nexmark ratelimiting mode doesn't work
- Automated Release Performance Benchmark Regression/Improvement comparison
- Launching a job on Dataflow requires storage.bucket.get permission
- org.apache.beam.runners.portability.testing should not be under main.
- GCP BigQuery sink uses runner determined sharding by default
- Savepoints stuck in IN_PROGRESS state in beam 2.27
- Add an EnumerationType for portable schema definition
- Docs
- Java not yet supported