[jira] [Resolved] (SPARK-22793) Memory leak in Spark Thrift Server

["Xiao Li (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22793?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiao Li resolved SPARK-22793.
-----------------------------
       Resolution: Fixed
         Assignee: zuotingbing
    Fix Version/s: 2.3.0

> Memory leak in Spark Thrift Server
> ----------------------------------
>
>                 Key: SPARK-22793
>                 URL: https://issues.apache.org/jira/browse/SPARK-22793
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.2, 2.2.1
>            Reporter: zuotingbing
>            Assignee: zuotingbing
>            Priority: Critical
>             Fix For: 2.3.0
>
>
> 1. Start HiveThriftServer2.
> 2. Connect to thriftserver through beeline.
> 3. Close the beeline.
> 4. repeat step2 and step 3 for several times, which caused the leak of Memory.
> we found there are many directories never be dropped under the path
> {code:java}
> hive.exec.local.scratchdir
> {code} and 
> {code:java}
> hive.exec.scratchdir
> {code} , as we know the scratchdir has been added to deleteOnExit when it be created. So it means that the cache size of FileSystem deleteOnExit will keep increasing until JVM terminated.
> In addition, we use 
> {code:java}
> jmap -histo:live [PID]
> {code} to printout the size of objects in HiveThriftServer2 Process, we can find the object "org.apache.spark.sql.hive.client.HiveClientImpl" and "org.apache.hadoop.hive.ql.session.SessionState" keep increasing even though we closed all the beeline connections, which caused the leak of Memory.



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