You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Sital Kedia (JIRA)" <ji...@apache.org> on 2016/08/05 17:59:20 UTC
[jira] [Created] (SPARK-16922) Query failure due to executor OOM in
Spark 2.0
Sital Kedia created SPARK-16922:
-----------------------------------
Summary: Query failure due to executor OOM in Spark 2.0
Key: SPARK-16922
URL: https://issues.apache.org/jira/browse/SPARK-16922
Project: Spark
Issue Type: Bug
Components: Shuffle
Affects Versions: 2.0.0
Reporter: Sital Kedia
A query which used to work in Spark 1.6 fails with executor OOM in 2.0.
Stack trace -
{code}
at org.apache.spark.unsafe.types.UTF8String.getBytes(UTF8String.java:229)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator$agg_VectorizedHashMap.hash$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator$agg_VectorizedHashMap.findOrInsert(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:161)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
at org.apache.spark.scheduler.Task.run(Task.scala:85)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
{code}
Query plan in Spark 1.6
{code}
== Physical Plan ==
TungstenAggregate(key=[field1#101], functions=[(sum((field2#74 / 100.0)),mode=Final,isDistinct=false)], output=[field1#101,field3#3])
+- TungstenExchange hashpartitioning(field1#101,200), None
+- TungstenAggregate(key=[field1#101], functions=[(sum((field2#74 / 100.0)),mode=Partial,isDistinct=false)], output=[field1#101,sum#111])
+- Project [field1#101,field2#74]
+- BroadcastHashJoin [field5#63L], [cast(cast(field4#97 as decimal(20,0)) as bigint)], BuildRight
:- ConvertToUnsafe
: +- HiveTableScan [field2#74,field5#63L], MetastoreRelation foo, table1, Some(a), [(ds#57 >= 2013-10-01),(ds#57 <= 2013-12-31)]
+- ConvertToUnsafe
+- HiveTableScan [field1#101,field4#97], MetastoreRelation foo, table2, Some(b)
{code}
Query plan in 2.0
{code}
== Physical Plan ==
*HashAggregate(keys=[field1#160], functions=[sum((field2#133 / 100.0))])
+- Exchange hashpartitioning(field1#160, 200)
+- *HashAggregate(keys=[field1#160], functions=[partial_sum((field2#133 / 100.0))])
+- *Project [field2#133, field1#160]
+- *BroadcastHashJoin [field5#122L], [cast(cast(field4#156 as decimal(20,0)) as bigint)], Inner, BuildRight
:- *Filter isnotnull(field5#122L)
: +- HiveTableScan [field5#122L, field2#133], MetastoreRelation foo, table1, a, [isnotnull(ds#116), (ds#116 >= 2013-10-01), (ds#116 <= 2013-12-31)]
+- BroadcastExchange HashedRelationBroadcastMode(List(cast(cast(input[0, string, false] as decimal(20,0)) as bigint)))
+- *Filter isnotnull(field4#156)
+- HiveTableScan [field4#156, field1#160], MetastoreRelation foo, table2, b
{code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org