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From "Lefty Leverenz (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-6468) HS2 out of memory error when curl sends a get request
Date Tue, 11 Nov 2014 20:38:34 GMT

    [ https://issues.apache.org/jira/browse/HIVE-6468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14207009#comment-14207009
] 

Lefty Leverenz commented on HIVE-6468:
--------------------------------------

bq.  Since THRIFT-2660 has been committed, it appears we can resolve this issue by upgrading
thrift when released?

Is this issue resolved?  (So *hive.server2.sasl.message.limit* won't ever be added to HiveConf.java?)

> HS2 out of memory error when curl sends a get request
> -----------------------------------------------------
>
>                 Key: HIVE-6468
>                 URL: https://issues.apache.org/jira/browse/HIVE-6468
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: 0.12.0
>         Environment: Centos 6.3, hive 12, hadoop-2.2
>            Reporter: Abin Shahab
>            Assignee: Navis
>         Attachments: HIVE-6468.1.patch.txt, HIVE-6468.2.patch.txt
>
>
> We see an out of memory error when we run simple beeline calls.
> (The hive.server2.transport.mode is binary)
> curl localhost:10000
> Exception in thread "pool-2-thread-8" java.lang.OutOfMemoryError: Java heap space
> 	at org.apache.thrift.transport.TSaslTransport.receiveSaslMessage(TSaslTransport.java:181)
> 	at org.apache.thrift.transport.TSaslServerTransport.handleSaslStartMessage(TSaslServerTransport.java:125)
> 	at org.apache.thrift.transport.TSaslTransport.open(TSaslTransport.java:253)
> 	at org.apache.thrift.transport.TSaslServerTransport.open(TSaslServerTransport.java:41)
> 	at org.apache.thrift.transport.TSaslServerTransport$Factory.getTransport(TSaslServerTransport.java:216)
> 	at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:189)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:744)



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