Thanks Vino,
Comparing functionalities in terms of the transformations is clear but what about timestamps and state? On Tue, Jul 31, 2018 at 6:47 PM vino yang <[email protected]> wrote: > 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 <[email protected]>: > >> Which java features of flink are not supported by the python API when >> writing a pipeline? >> > >
