You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Slava (JIRA)" <ji...@apache.org> on 2016/07/05 10:35:10 UTC

[jira] [Created] (SPARK-16378) HiveContext doesn't release resources

Slava created SPARK-16378:
-----------------------------

             Summary: HiveContext doesn't release resources
                 Key: SPARK-16378
                 URL: https://issues.apache.org/jira/browse/SPARK-16378
             Project: Spark
          Issue Type: Bug
          Components: Java API, SQL
    Affects Versions: 1.6.0
         Environment: Linux Ubuntu
            Reporter: Slava
            Priority: Critical


I am running this simple code:
HiveContext hiveContext = new HiveContext(new JavaSparkContext(conf));
hiveContext.sparkContext().stop();
Each HiveContext creation creates 100+ .dat files.
They could be counted by running "ls -l | grep dat | wc -l" and listed with "ls -l | grep dat" commands in /proc/PID/fd directory:

lrwx------ 1 dropwizard dropwizard 64 Jul  4 21:39 891 -> /tmp/spark-3625050e-6d18-421f-89ae-9859e9edfb9f/metastore/seg0/c650.dat
lrwx------ 1 dropwizard dropwizard 64 Jul  4 21:39 893 -> /tmp/spark-3625050e-6d18-421f-89ae-9859e9edfb9f/metastore/seg0/c670.dat
lrwx------ 1 dropwizard dropwizard 64 Jul  4 21:39 895 -> /tmp/spark-3625050e-6d18-421f-89ae-9859e9edfb9f/metastore/seg0/c690.dat

In my application I use "short living " context. I create it and stop repeatedly.
It seems that stopping the SparkContext doesn't stop the HiveContext. So these files (and it seems other resources) don't released (deleted). HiveContext itself doesn't have stop method.
Thus next time I create the context, it creates another 100+ files. Finally I am running out of max open file descriptors and getting "Too many open files" error that eventually leads to the server crash.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org