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Posted to issues@systemml.apache.org by "Matthias Boehm (JIRA)" <ji...@apache.org> on 2018/08/03 19:48:00 UTC
[jira] [Closed] (SYSTEMML-2483) Failing matrix market to binary
reblock with zero rows/columns
[ https://issues.apache.org/jira/browse/SYSTEMML-2483?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Matthias Boehm closed SYSTEMML-2483.
------------------------------------
Resolution: Fixed
Assignee: Matthias Boehm
Fix Version/s: SystemML 1.2
> Failing matrix market to binary reblock with zero rows/columns
> --------------------------------------------------------------
>
> Key: SYSTEMML-2483
> URL: https://issues.apache.org/jira/browse/SYSTEMML-2483
> Project: SystemML
> Issue Type: Bug
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Priority: Major
> Fix For: SystemML 1.2
>
>
> {code}
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 0
> at org.apache.sysml.runtime.matrix.mapred.ReblockBuffer.appendCell(ReblockBuffer.java:68)
> at org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtils$TextToBinaryBlockFunction.call(RDDConverterUtils.java:544)
> at org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtils$TextToBinaryBlockFunction.call(RDDConverterUtils.java:1)
> at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186)
> at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:186)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:796)
> at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:796)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$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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