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https://issues.apache.org/jira/browse/SPARK-32007?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17205918#comment-17205918
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Aoyuan Liao commented on SPARK-32007:
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[~surajs21]
Can you please post master's log for more information?
> 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: Critical
>
> 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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