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https://issues.apache.org/jira/browse/SPARK-22625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-22625:
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Labels: bulk-closed leak (was: leak)
> Properly cleanup inheritable thread-locals
> ------------------------------------------
>
> Key: SPARK-22625
> URL: https://issues.apache.org/jira/browse/SPARK-22625
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: Tolstopyatov Vsevolod
> Priority: Major
> Labels: bulk-closed, leak
>
> Memory leak is present due to inherited thread locals, SPARK-20558 didn't
> fixed it properly.
> Our production application has the following logic: one thread is reading
> from HDFS and another one creates spark context, processes HDFS files and
> then closes it on regular schedule.
> Depending on what thread started first, SparkContext thread local may or may
> not be inherited by HDFS-daemon (DataStreamer), causing memory leak when
> streamer was created after spark context. Memory consumption increases every
> time new spark context is created, related yourkit paths:
> https://screencast.com/t/tgFBYMEpW
> The problem is more general and is not related to HDFS in particular.
> Proper fix: register all cloned properties (in `localProperties#childValue`)
> in ConcurrentHashMap and forcefully clear all of them in `SparkContext#close`
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