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Posted to issues@spark.apache.org by "Jackey Lee (Jira)" <ji...@apache.org> on 2019/11/12 12:15:00 UTC
[jira] [Updated] (SPARK-29771) Limit executor max failures before
failing the application
[ https://issues.apache.org/jira/browse/SPARK-29771?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jackey Lee updated SPARK-29771:
-------------------------------
Description:
ExecutorPodsAllocator does not limit the number of executor errors or deletions, which may cause executor restart continuously without application failure.
A simple example for this, add {{--conf spark.executor.extraJavaOptions=-Xmse}} after spark-submit, which can make executor restart thousands of times without application failure.
was:
At present, K8S scheduling does not limit the number of failures of the executors, which may cause executor retried continuously without failing.
A simple example, we add a resource limit on default namespace. After the driver is started, if the quota is full, the executor will retry the creation continuously, resulting in a large amount of pod information accumulation. When many applications encounter such situations, they will affect the K8S cluster.
> Limit executor max failures before failing the application
> ----------------------------------------------------------
>
> Key: SPARK-29771
> URL: https://issues.apache.org/jira/browse/SPARK-29771
> Project: Spark
> Issue Type: Improvement
> Components: Kubernetes
> Affects Versions: 3.0.0
> Reporter: Jackey Lee
> Priority: Major
>
> ExecutorPodsAllocator does not limit the number of executor errors or deletions, which may cause executor restart continuously without application failure.
> A simple example for this, add {{--conf spark.executor.extraJavaOptions=-Xmse}} after spark-submit, which can make executor restart thousands of times without application failure.
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