Hi Nicos, You can read the official documentation of latest Python API about DataStream transformation[1] and latest Java API transformation[2].
However, the latest documentation may not react the new feature especially for Python API, so you can also compare the implementation of DataStream(java)[3] and PythonDataStream [4]. Note, for [3], it's not completed because some API exists in other stream objects such keyed data stream. [1]: https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/stream/python.html#transformations [2]: https://ci.apache.org/projects/flink/flink-docs-release-1.5/dev/stream/operators/index.html#datastream-transformations [3]: https://github.com/apache/flink/blob/master/flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/DataStream.java [4]: https://github.com/apache/flink/blob/master/flink-libraries/flink-streaming-python/src/main/java/org/apache/flink/streaming/python/api/datastream/PythonDataStream.java Thanks, vino. 2018-07-31 22:59 GMT+08:00 Nicos Maris <nicos.ma...@gmail.com>: > Which java features of flink are not supported by the python API when > writing a pipeline? >
