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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/09/26 21:58:00 UTC
[jira] [Commented] (SPARK-22134) StackOverflowError issue when
applying large nested UDF calls
[ https://issues.apache.org/jira/browse/SPARK-22134?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16181650#comment-16181650 ]
Sean Owen commented on SPARK-22134:
-----------------------------------
I mean, if you chain enough method calls, of course this will happen. This looks like a very contrived example. I don't think this can be considered a bug.
> StackOverflowError issue when applying large nested UDF calls
> -------------------------------------------------------------
>
> Key: SPARK-22134
> URL: https://issues.apache.org/jira/browse/SPARK-22134
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.1.0
> Environment: Spark 2.1.0 on Cloudera CDH 5u8
> Reporter: Andrew Hu Zheng
> Priority: Critical
>
> Spark throws a StackOverflowError whenever there is a large nested call of UDFs.
> I have tried increasing the memory, but the same issue still happens.
> Sample code of the nested calls :
> {code:java}
> val v4 = u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat(u_concat($"C0_0", $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0"), $"C0_0");
> {code}
> stack trace
> {code:java}
> java.lang.reflect.InvocationTargetException
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at com.informatica.compiler.InfaSparkMain$.main(InfaSparkMain.scala:74)
> at com.informatica.compiler.InfaSparkMain.main(InfaSparkMain.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:637)
> Caused by: java.lang.StackOverflowError
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:358)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:329)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:307)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:307)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:307)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5$$anonfun$apply$11.apply(TreeNode.scala:360)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:358)
> at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:188)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformChildren(TreeNode.scala:329)
> at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:307)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:307)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:307)
> at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5$$anonfun$apply$11.apply(TreeNode.scala:360)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> {code}
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