[jira] [Created] (FLINK-20933) Config Python Operator Use Managed Memory In Python DataStream

[Shang Yuanchun (Jira)]

Huang Xingbo created FLINK-20933:
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             Summary: Config Python Operator Use Managed Memory In Python DataStream
                 Key: FLINK-20933
                 URL: https://issues.apache.org/jira/browse/FLINK-20933
             Project: Flink
          Issue Type: Bug
          Components: API / Python
    Affects Versions: 1.12.0, 1.13.0
            Reporter: Huang Xingbo


Now the way to set `Python DataStream Operator` to use managed memory is to set a hook in the `execute` method of `Python StreamExecutionEnvironment` to traverse the `StreamGraph` and set the `Python Operator` to use managed memory.
But when the user’s job uses `from_data_stream` to convert the `DataStream` to a `Table`, the `TableEnvironment.execute` method is used at the end rather than `StreamExecutionEnvironment.execute`, so the `Python DataStream` related operators will not have `Managed Memory` set.



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