[jira] [Resolved] (SPARK-22625) Properly cleanup inheritable thread-locals

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22625?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-22625.
----------------------------------
    Resolution: Incomplete

> 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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