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Posted to issues@spark.apache.org by "Michael Nguyen (JIRA)" <ji...@apache.org> on 2016/03/10 20:38:40 UTC
[jira] [Commented] (SPARK-13804)
org.apache.spark.sql.hive.thriftserver.HiveThriftServer2 hangs
intermittently
[ https://issues.apache.org/jira/browse/SPARK-13804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15189827#comment-15189827 ]
Michael Nguyen commented on SPARK-13804:
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HiveThriftServer2 is part of org.apache.spark.sql.hive.thriftserver package so it is an issue with with Spark SQL. Also, the root cause could be with how dynamicDataFrame.registerTempTable interacts with hiveContext.dropTempTable for the same table. So further analysis is needed to determine the root cause.
> org.apache.spark.sql.hive.thriftserver.HiveThriftServer2 hangs intermittently
> -----------------------------------------------------------------------------
>
> Key: SPARK-13804
> URL: https://issues.apache.org/jira/browse/SPARK-13804
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Michael Nguyen
>
> 1. HiveThriftServer2 was started with startWithContext
> 2. Multiple temp tables were loaded and registered via registerTempTable .
> 3. HiveThriftServer2 was accessed via JDBC to access to those tables.
> 4. Some temp tables were dropped via hiveContext.dropTempTable(registerTableName); and reloaded to refresh their data. There are 1 to 7 million rows in these tables.
> 5. The same queries ran in step 3 were re-ran over the existing JDBC connection. This time HiveThriftServer2 receives those queries but at times HiveThriftServer2 hangs and does not return the results. CPU utilization on both Spark driver and child nodes was around 1%. 10GB of RAM was used out of 30GB on the driver, and 3GB of RAM out of 30GB was used on the child nodes. So there was no resource starvation.
> 6. Wait about 5 minutes and rerun the same queries in step 5, and this time, HiveThriftServer2 returns the results of those queries fine.
> This issue occurs intermittently when the steps 1-5 are repeated, so it may take several attempts to reproduce this issue.
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