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Posted to issues@beam.apache.org by "Ismaël Mejía (Jira)" <ji...@apache.org> on 2019/11/20 07:08:00 UTC
[jira] [Updated] (BEAM-8384) Spark runner is not respecting
spark.default.parallelism user defined configuration
[ https://issues.apache.org/jira/browse/BEAM-8384?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ismaël Mejía updated BEAM-8384:
-------------------------------
Fix Version/s: (was: 2.17.0)
> Spark runner is not respecting spark.default.parallelism user defined configuration
> -----------------------------------------------------------------------------------
>
> Key: BEAM-8384
> URL: https://issues.apache.org/jira/browse/BEAM-8384
> Project: Beam
> Issue Type: Bug
> Components: runner-spark
> Affects Versions: 2.16.0
> Reporter: Ismaël Mejía
> Assignee: Ismaël Mejía
> Priority: Major
>
> It was reported in [the mailing list|https://lists.apache.org/thread.html/792fb7fc2a5113837fbcdafce6a5d9100309881b366c1a7163d2c898@%3Cdev.beam.apache.org%3E] that the Spark runner is not respecting the user defined Spark default parallelism configuration. We should investigate and if it is the case ensure that a user defined configuration is always respected. Runner optimizations should apply only for default (unconfigured) values otherwise we will confuse users and limit them from parametrizing Spark for their best convenience.
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