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
- Remove the need for --test-pipeline-options in flink/spark Python tests.
- Support qualified function names in CREATE FUNCTION statement.
- PubsubIO not showing errors when serviceAccount doesn't have the permission (GCP)
- Make GHA job triggers predictable.
- Remove flogger dependency once bigdataoss_utils have newer version
- BigQuery source creates new dataset IDs during split
- getting issue to load file into database (java.lang.ClassCastException: java.lang.String cannot be cast to org.apache.beam.sdk.values.KV)
- TestStream.testDiscardingMode gives wrong answer on FlinkRunner
- TestStream.testLateDataAccumulating gives wrong answer on FlinkRunner
- TestStream.testFirstElementLate gives wrong answer on FlinkRunner
- Docs
- Java not yet supported