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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2020/05/31 05:24:30 UTC

[GitHub] [flink] dianfu commented on pull request #12370: [FLINK-17923][python] Allow Python worker to use off-heap memory

dianfu commented on pull request #12370:
URL: https://github.com/apache/flink/pull/12370#issuecomment-636424283


   @xintongsong @zhuzhurk Thanks for the review. Have updated the PR. The changes are as following:
   - DO NOT set the value of "taskmanager.memory.task.off-heap.size" automatically
   - If Python UDF and RocksDB are used together and both Python UDF and RocksDB are configured to use managed memory, throw exceptions with meaningful suggestions.
   - If Python UDF is configured to use off-heap memory and the task off-heap memory could not meet the requirement, throw exceptions with meaningful suggestions.
   
   Please note that the default value of "python.fn-execution.memory.managed" is still false which means that Python UDF will not use managed memory by default.


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