[
https://issues.apache.org/jira/browse/FLINK-18235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Flink Jira Bot updated FLINK-18235:
-----------------------------------
Labels: auto-deprioritized-major (was: stale-major)
Priority: Minor (was: Major)
This issue was labeled "stale-major" 7 ago and has not received any updates so
it is being deprioritized. If this ticket is actually Major, please raise the
priority and ask a committer to assign you the issue or revive the public
discussion.
> Improve the checkpoint strategy for Python UDF execution
> --------------------------------------------------------
>
> Key: FLINK-18235
> URL: https://issues.apache.org/jira/browse/FLINK-18235
> Project: Flink
> Issue Type: Improvement
> Components: API / Python
> Reporter: Dian Fu
> Priority: Minor
> Labels: auto-deprioritized-major
> Fix For: 1.14.0
>
>
> Currently, when a checkpoint is triggered for the Python operator, all the
> data buffered will be flushed to the Python worker to be processed. This will
> increase the overall checkpoint time in case there are a lot of elements
> buffered and Python UDF is slow. We should improve the checkpoint strategy to
> improve this, e.g. buffering the data into state instead of flushing them
> out. We can also let users to config the checkpoint strategy if needed.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
