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Posted to issues@systemml.apache.org by "Matthias Boehm (JIRA)" <ji...@apache.org> on 2017/06/23 08:54:00 UTC
[jira] [Created] (SYSTEMML-1734) Spark reshape instruction creates
incorrect outputs for sparse inputs
Matthias Boehm created SYSTEMML-1734:
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Summary: 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
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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