You are viewing a plain text version of this content. The canonical link for it is here.
Posted to user@spark.apache.org by Andy Zhao <an...@gmail.com> on 2015/10/14 11:36:10 UTC

spark sql OOM

Hi guys,

I'm testing sparkSql 1.5.1, and I use hadoop-2.5.0-cdh5.3.2.
One sql which can ran successfully using hive failed when I ran it using
sparkSql.
I got the following errno:
<http://apache-spark-user-list.1001560.n3.nabble.com/file/n25059/%E5%B1%8F%E5%B9%95%E5%BF%AB%E7%85%A7_2015-10-14_%E4%B8%8B%E5%8D%885.png> 

I read the source code, It seems that the compute method of HadoopRDD is
called infinite times, every time it got called, some new instance need to
be allocated on the heap and finally OOM.

Does anyone have same problem?

Thanks



--
View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/spark-sql-OOM-tp25059.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.

---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
For additional commands, e-mail: user-help@spark.apache.org