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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-17356) Out of memory when calling TreeNode.toJSON
Date Thu, 01 Sep 2016 09:08:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-17356:
------------------------------------

    Assignee:     (was: Apache Spark)

> Out of memory when calling TreeNode.toJSON
> ------------------------------------------
>
>                 Key: SPARK-17356
>                 URL: https://issues.apache.org/jira/browse/SPARK-17356
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Sean Zhong
>         Attachments: jmap.txt, jstack.txt, queryplan.txt
>
>
> When using MLLib, when calling toJSON on a plan with many level of sub-queries, it may
cause out of memory exception with stack trace like this
> {code}
> java.lang.OutOfMemoryError: GC overhead limit exceeded
> 	at scala.collection.mutable.AbstractSeq.<init>(Seq.scala:47)
> 	at scala.collection.mutable.AbstractBuffer.<init>(Buffer.scala:48)
> 	at scala.collection.mutable.ListBuffer.<init>(ListBuffer.scala:46)
> 	at scala.collection.immutable.List$.newBuilder(List.scala:396)
> 	at scala.collection.generic.GenericTraversableTemplate$class.newBuilder(GenericTraversableTemplate.scala:64)
> 	at scala.collection.AbstractTraversable.newBuilder(Traversable.scala:105)
> 	at scala.collection.TraversableLike$class.filter(TraversableLike.scala:262)
> 	at scala.collection.AbstractTraversable.filter(Traversable.scala:105)
> 	at scala.collection.TraversableLike$class.filterNot(TraversableLike.scala:274)
> 	at scala.collection.AbstractTraversable.filterNot(Traversable.scala:105)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:25)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:20)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:25)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:25)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:25)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:25)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:20)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:20)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:25)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:20)
> 	at org.json4s.jackson.JValueSerializer.serialize(JValueSerializer.scala:7)
> 	at com.fasterxml.jackson.databind.ser.DefaultSerializerProvider.serializeValue(DefaultSerializerProvider.java:128)
> 	at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:2881)
> 	at com.fasterxml.jackson.databind.ObjectMapper.writeValueAsString(ObjectMapper.java:2338)
> 	at org.json4s.jackson.JsonMethods$class.compact(JsonMethods.scala:34)
> 	at org.json4s.jackson.JsonMethods$.compact(JsonMethods.scala:50)
> 	at org.apache.spark.sql.catalyst.trees.TreeNode.toJSON(TreeNode.scala:566)
> {code}
> The query plan, stack trace, and jmap distribution is attached.



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