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Posted to issues@flink.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/01/12 14:58:00 UTC

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

     [ https://issues.apache.org/jira/browse/FLINK-20933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated FLINK-20933:
-----------------------------------
    Labels: pull-request-available  (was: )

> 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
>            Priority: Major
>              Labels: pull-request-available
>
> 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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