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Posted to issues@systemml.apache.org by "Glenn Weidner (JIRA)" <ji...@apache.org> on 2017/09/09 04:19:00 UTC
[jira] [Updated] (SYSTEMML-1734) Spark reshape instruction creates
incorrect outputs for sparse inputs
[ https://issues.apache.org/jira/browse/SYSTEMML-1734?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Glenn Weidner updated SYSTEMML-1734:
------------------------------------
Fix Version/s: (was: SystemML 1.0)
Not Applicable
> Spark reshape instruction creates incorrect outputs for sparse inputs
> ---------------------------------------------------------------------
>
> Key: SYSTEMML-1734
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1734
> Project: SystemML
> Issue Type: Bug
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Fix For: Not Applicable
>
>
> Our spark reshape instruction creates incorrect partial outputs which ultimately lead to failures on the included mergeByKey (incorrect results or failures as shown below):
> {code}
> Caused by: org.apache.sysml.runtime.DMLRuntimeException: Number of non-zeros mismatch on merge disjoint (target=1000x50, nnz target=49994, nnz source=1000)
> at org.apache.sysml.runtime.matrix.data.MatrixBlock.merge(MatrixBlock.java:1686)
> at org.apache.sysml.runtime.instructions.spark.utils.RDDAggregateUtils$MergeBlocksFunction.call(RDDAggregateUtils.java:627)
> at org.apache.sysml.runtime.instructions.spark.utils.RDDAggregateUtils$MergeBlocksFunction.call(RDDAggregateUtils.java:1)
> at org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction2$1.apply(JavaPairRDD.scala:1037)
> at org.apache.spark.util.collection.ExternalSorter$$anonfun$5.apply(ExternalSorter.scala:189)
> at org.apache.spark.util.collection.ExternalSorter$$anonfun$5.apply(ExternalSorter.scala:188)
> at org.apache.spark.util.collection.AppendOnlyMap.changeValue(AppendOnlyMap.scala:150)
> at org.apache.spark.util.collection.SizeTrackingAppendOnlyMap.changeValue(SizeTrackingAppendOnlyMap.scala:32)
> at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:194)
> at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> 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}
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