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Posted to dev@zeppelin.apache.org by "Michal Vince (Jira)" <ji...@apache.org> on 2022/07/07 13:10:00 UTC
[jira] [Created] (ZEPPELIN-5760) properties are not propagated correctly to spark in k8s
Michal Vince created ZEPPELIN-5760:
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Summary: properties are not propagated correctly to spark in k8s
Key: ZEPPELIN-5760
URL: https://issues.apache.org/jira/browse/ZEPPELIN-5760
Project: Zeppelin
Issue Type: Bug
Reporter: Michal Vince
As stated in [spark configuration|https://spark.apache.org/docs/latest/configuration.html#dynamically-loading-spark-properties]
{noformat}
Spark properties mainly can be divided into two kinds: one is related to deploy, like “spark.driver.memory”, “spark.executor.instances”, this kind of properties may not be affected when setting programmatically through SparkConf in runtime, or the behavior is depending on which cluster manager and deploy mode you choose, so it would be suggested to set through configuration file or spark-submit command line options...
{noformat}
some configurations are ignored when set via SparkConf including {{{}spark.jars.packages{}}}, {{spark.driver.extraJavaOptions}} and others when running spark in K8s
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