Matthias Boehm created SYSTEMML-2013:
----------------------------------------

             Summary: Perftest genStratStatsData failed for 80GB
                 Key: SYSTEMML-2013
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-2013
             Project: SystemML
          Issue Type: Bug
            Reporter: Matthias Boehm


{code}
Caused by: org.apache.sysml.runtime.DMLRuntimeException: ERROR: Runtime error 
in program block generated from statement block between lines 107 and 0 -- 
Error evaluating instruction: 
SPARK°write°_mVar123·MATRIX·DOUBLE°mbperftest/stratstats/A_10M/data·SCALAR·STRING·true°binaryblock·SCALAR·STRING·true°·SCALAR·STRING·true
        at 
org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:294)
        at 
org.apache.sysml.runtime.controlprogram.ProgramBlock.executeInstructions(ProgramBlock.java:218)
        at 
org.apache.sysml.runtime.controlprogram.ProgramBlock.execute(ProgramBlock.java:163)
        at 
org.apache.sysml.runtime.controlprogram.Program.execute(Program.java:118)
        ... 13 more
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: 
Serialized task 15:2 was 323397641 bytes, which exceeds max allowed: 
spark.rpc.message.maxSize (134217728 bytes). Consider increasing 
spark.rpc.message.maxSize or using broadcast variables for large values.
        at 
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
        at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
        at scala.Option.foreach(Option.scala:257)
        at 
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
        at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at 
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1226)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1168)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1168)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at 
org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1168)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply$mcV$sp(PairRDDFunctions.scala:1071)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1037)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopFile$4.apply(PairRDDFunctions.scala:1037)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
        at 
org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopFile(PairRDDFunctions.scala:1037)
        at 
org.apache.spark.api.java.JavaPairRDD.saveAsHadoopFile(JavaPairRDD.scala:803)
        at 
org.apache.sysml.runtime.instructions.spark.WriteSPInstruction.processMatrixWriteInstruction(WriteSPInstruction.java:218)
        at 
org.apache.sysml.runtime.instructions.spark.WriteSPInstruction.processInstruction(WriteSPInstruction.java:144)
        at 
org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:264)

{code}



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

Reply via email to