GitHub user zuotingbing opened a pull request:
https://github.com/apache/spark/pull/20029
[SPARK-22793][SQL]Memory leak in Spark Thrift Server
# What changes were proposed in this pull request?
1. Start HiveThriftServer2.
2. Connect to thriftserver through beeline.
3. Close the beeline.
4. repeat step2 and step 3 for several times.
we found there are many directories never be dropped under the path
`hive.exec.local.scratchdir` and `hive.exec.scratchdir`, 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 `jmap -histo:live [PID]`
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 may caused the leak of Memory.
# How was this patch tested?
manual tests
This PR follw-up the https://github.com/apache/spark/pull/19989
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/zuotingbing/spark SPARK-22793
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20029.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #20029
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commit 2b1e166f4f43b300d272fc7ce1d9d7997f7ae3cd
Author: zuotingbing <zuo.tingbing9@...>
Date: 2017-12-20T07:52:21Z
[SPARK-22793][SQL]Memory leak in Spark Thrift Server
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