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https://issues.apache.org/jira/browse/SPARK-37254?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17442046#comment-17442046
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Hyukjin Kwon commented on SPARK-37254:
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it would be much easier to investigate the issue if there're reproducible steps.
> 100% CPU usage on Spark Thrift Server.
> --------------------------------------
>
> Key: SPARK-37254
> URL: https://issues.apache.org/jira/browse/SPARK-37254
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.1.2
> Reporter: ramakrishna chilaka
> Priority: Major
>
> We are trying to use Spark thrift server as a distributed sql query engine,
> the queries work when the resident memory occupied by Spark thrift server
> identified through HTOP is comparatively less than the driver memory. The
> same queries result in 100% cpu usage when the resident memory occupied by
> spark thrift server is greater than the configured driver memory and keeps
> running at 100% cpu usage. I am using incremental collect as false, as i need
> faster responses for exploratory queries. I am trying to understand the
> following points
> * Why isn't spark thrift server releasing back the memory, when there are no
> queries.
> * What is causing spark thrift server to go into 100% cpu usage on all the
> cores, when spark thrift server's memory is greater than the driver memory
> (by 10% usually) and why are queries just stuck.
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