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
- Properly support `convert_dtype=True` in Series.apply
- groupby cannot aggregate grouped column
- pandas IOs should set chunksize by peeking at input data at construction time
- Implement transform for Series and DataFrame
- DataFrame API does not preserve freq attribute in a DateTimeIndex
- SpannerIO.read() parallelism limited by partition count
- Spark PortableRunner (Python SDK) low parallelism
- Allow ParquetIO.read/parse without explicit schema
- "OutOfMemoryError: Direct buffer memory" in streaming dataflow at Google Cloud
- Streaming Java WordCountIT.testE2EWordCount ambiguous failure
- Docs
- Java not yet supported