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From "Matthias Boehm (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SYSTEMML-1543) Parfor remote result merge fails w/ stackoverflowerror from rdd union
Date Wed, 19 Apr 2017 07:20:41 GMT

     [ https://issues.apache.org/jira/browse/SYSTEMML-1543?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Matthias Boehm closed SYSTEMML-1543.
------------------------------------

> Parfor remote result merge fails w/ stackoverflowerror from rdd union
> ---------------------------------------------------------------------
>
>                 Key: SYSTEMML-1543
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1543
>             Project: SystemML
>          Issue Type: Bug
>            Reporter: Matthias Boehm
>            Assignee: Matthias Boehm
>            Priority: Blocker
>             Fix For: SystemML 0.14
>
>
> The current parfor remote_spark result merge is implemented as (1) a union over all output
files from individual parfor tasks, and (2) a final aggregation with or without compare. For
many parfor tasks, the union of such many RDDs leads to stack overflow errors as shown below:
> {code}
> Exception in thread "main" java.lang.StackOverflowError
>         at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:84)
>         at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:84)
>         at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>         at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
>         at scala.collection.immutable.List.foreach(List.scala:381)
>         at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
>         at scala.collection.immutable.List.map(List.scala:285)
>         at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:84)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:252)
>         at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:250)
>         at scala.Option.getOrElse(Option.scala:121)
>         at org.apache.spark.rdd.RDD.partitions(RDD.scala:250)
>         at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:84)
>         at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:84)
>         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.immutable.List.foreach(List.scala:381)
> {code}
> This did not show up before because the parfor optimizer usually compiles in-memory result
merge operations if the outputs are moderately small, i.e., they fit into the driver.



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