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https://issues.apache.org/jira/browse/FLINK-18880?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dian Fu closed FLINK-18880.
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Fix Version/s: (was: 1.11.5)
1.13.3
Resolution: Fixed
Fixed in:
- master via e3d716783a8421638095a3938e3a9d8f7911f4ba
- release-1.14 via ed022d21708626ded50b7d0e5b6a1aa79d8b59aa
- release-1.13 via 978d90715e1cddef816c2ddfb08ba3b27f38758c
> Respect configurations defined in flink-conf.yaml and environment variables
> when executing in local mode
> --------------------------------------------------------------------------------------------------------
>
> Key: FLINK-18880
> URL: https://issues.apache.org/jira/browse/FLINK-18880
> Project: Flink
> Issue Type: Bug
> Components: API / Python
> Affects Versions: 1.11.0
> Reporter: Dian Fu
> Assignee: Dian Fu
> Priority: Minor
> Labels: auto-deprioritized-major, pull-request-available
> Fix For: 1.14.0, 1.13.3
>
>
> Currently, the configurations defined in flink-conf.yaml and environment
> variables are not respected when PyFlink jobs are executed in local mode. It
> will cause a few problems, including but not limited to the following:
> - Users could not configure the heap memory used by the gateway server. It
> may cause OOM issues in scenarios such as Table.to_pandas when the content of
> the Table is big.
> - There is no easy way for users to specify hadoop classpath
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