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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 Mon, 17 Mar 2014 05:33:43 GMT

    [ https://issues.apache.org/jira/browse/HIVE-6468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13937470#comment-13937470
] 

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

I added this sentence to the second paragraph of the wiki's Beeline section:

{quote}
In remote mode HiveServer2 only accepts valid Thrift calls; you cannot call it via http or
telnet (HIVE-6468).
{quote}

Please review and correct if necessary.

* [Beeline -- New Command Line Shell |https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#HiveServer2Clients-Beeline–NewCommandLineShell]

> 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
>
>
> 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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