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Posted to user@spark.apache.org by linkpatrickliu <li...@live.com> on 2014/09/12 08:04:01 UTC
SparkSQL hang due to
I am running Spark Standalone mode with Spark 1.1
I started SparkSQL thrift server as follows:
./sbin/start-thriftserver.sh
Then I use beeline to connect to it.
Now, I can "CREATE", "SELECT", "SHOW" the databases or the tables;
But when I "DROP" or "Load data inpath 'kv1.txt' into table src", the
Beeline client will hang.
Here is the log of thriftServer:
14/09/12 13:59:41 INFO Driver: </PERFLOG method=doAuthorization
start=1410501581524 end=1410501581549 duration=25>
14/09/12 13:59:41 INFO Driver: </PERFLOG method=compile start=1410501581500
end=1410501581549 duration=49>
14/09/12 13:59:41 INFO Driver: <PERFLOG method=acquireReadWriteLocks>
Anyone can help on this? Many thanks!
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Re: SparkSQL hang due to
Posted by Michael Armbrust <mi...@databricks.com>.
What is in your hive-site.xml?
On Thu, Sep 11, 2014 at 11:04 PM, linkpatrickliu <li...@live.com>
wrote:
> I am running Spark Standalone mode with Spark 1.1
>
> I started SparkSQL thrift server as follows:
> ./sbin/start-thriftserver.sh
>
> Then I use beeline to connect to it.
> Now, I can "CREATE", "SELECT", "SHOW" the databases or the tables;
> But when I "DROP" or "Load data inpath 'kv1.txt' into table src", the
> Beeline client will hang.
>
> Here is the log of thriftServer:
>
> 14/09/12 13:59:41 INFO Driver: </PERFLOG method=doAuthorization
> start=1410501581524 end=1410501581549 duration=25>
> 14/09/12 13:59:41 INFO Driver: </PERFLOG method=compile start=1410501581500
> end=1410501581549 duration=49>
> 14/09/12 13:59:41 INFO Driver: <PERFLOG method=acquireReadWriteLocks>
>
> Anyone can help on this? Many thanks!
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/SparkSQL-hang-due-to-PERFLOG-method-acquireReadWriteLocks-tp14055.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
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> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
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>