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https://issues.apache.org/jira/browse/HIVE-6468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14211405#comment-14211405
 ] 

Vaibhav Gumashta commented on HIVE-6468:
----------------------------------------

Patch attached is based on 0.14.0 geared towards 0.14.1. Added fix for 
Metastore SASL and HiveServer2 Kerberos SASL in addition to the Plain SASL fix 
that the previous patch had.

cc [~thejas] [~navis]

> HS2 & Metastore using SASL 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
>          Components: HiveServer2, Metastore
>    Affects Versions: 0.12.0
>         Environment: Centos 6.3, hive 12, hadoop-2.2
>            Reporter: Abin Shahab
>            Assignee: Navis
>             Fix For: 0.14.1
>
>         Attachments: HIVE-6468.1.patch.txt, HIVE-6468.2.patch.txt, 
> HIVE-6468.3.patch
>
>
> 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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