[jira] [Updated] (SPARK-32007) Spark Driver Supervise does not work reliably

["Prashant Sharma (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Prashant Sharma updated SPARK-32007:
------------------------------------
    Priority: Major  (was: Critical)

> Spark Driver Supervise does not work reliably
> ---------------------------------------------
>
>                 Key: SPARK-32007
>                 URL: https://issues.apache.org/jira/browse/SPARK-32007
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.4.4
>         Environment: |Java Version|1.8.0_121 (Oracle Corporation)|
> |Java Home|/usr/java/jdk1.8.0_121/jre|
> |Scala Version|version 2.11.12|
> |OS|Amazon Linux|
> h4.  
>            Reporter: Suraj Sharma
>            Priority: Major
>
> I have a standalone cluster setup. I DO NOT have a streaming use case. I use AWS EC2 machines to have spark master and worker processes.
> *Problem*: If a spark worker machine running some drivers and executor dies, then the driver is not spawned again on other healthy machines.
> *Below are my findings:*
> ||Action/Behaviour||Executor||Driver||
> |Worker Machine Stop|Relaunches on an active machine|NO Relaunch|
> |kill -9 to process|Relaunches on other machines|Relaunches on other machines|
> |kill to process|Relaunches on other machines|Relaunches on other machines|
> *Cluster Setup:*
>  # I have a spark standalone cluster
>  # {{spark.driver.supervise=true}}
>  # Spark Master HA is enabled and is backed by zookeeper
>  # Spark version = 2.4.4
>  # I am using a systemd script for the spark worker process



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