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https://issues.apache.org/jira/browse/HIVE-6468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14211214#comment-14211214
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Vaibhav Gumashta commented on HIVE-6468:
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If there is a 0.14.1, I think we should get this in. For 0.15.0, bumping up the
thrift version would work. However, this patch doesn't take care of having a
max payload length for Kerberos auth mode. In addition, even Metastore running
SASL (does that when it uses Kerberos) will go OOM if it gets non-thrift
packets.
[~navis] [~thejas] [~qwertymaniac] What do you guys think? I can put up a patch
on top of #2 patch uploaded here which takes care of the remaining cases as
well.
> 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
> Fix For: 0.14.1
>
> 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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