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https://issues.apache.org/jira/browse/SYSTEMML-911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15485745#comment-15485745
]
Glenn Weidner edited comment on SYSTEMML-911 at 9/13/16 12:24 AM:
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Attached scala that was run from spark-shell launched with:
./bin/spark-shell --executor-memory 4G --driver-memory 4G --jars
../systemml/lib/systemml.jar
was (Author: gweidner):
Attached scala that was run from spark-shell.
> GC overhead limit exceeded running LinearRegressionCG from MLContext
> --------------------------------------------------------------------
>
> Key: SYSTEMML-911
> URL: https://issues.apache.org/jira/browse/SYSTEMML-911
> Project: SystemML
> Issue Type: Bug
> Components: APIs
> Reporter: Glenn Weidner
> Attachments: LinearRegrCG.0.10.scala
>
>
> Running attached scala from spark-shell using original MLContext against
> Spark 1.6 (or 2.0) encountered out-of-memory GC overhead limit exceeded:
> uncaught exception during compilation: java.lang.AssertionError
> org.apache.sysml.runtime.DMLRuntimeException:
> org.apache.sysml.runtime.DMLRuntimeException: ERROR: Runtime error in program
> block generated from statement block between lines 3 and 9 -- Error
> evaluating instruction:
> SPARK°rblk°X·MATRIX·DOUBLE°_mVar2·MATRIX·DOUBLE°1000°1000°true
> at
> org.apache.sysml.runtime.controlprogram.Program.execute(Program.java:152)
> at
> org.apache.sysml.api.MLContext.executeUsingSimplifiedCompilationChain(MLContext.java:1398)
> at
> org.apache.sysml.api.MLContext.compileAndExecuteScript(MLContext.java:1257)
> at org.apache.sysml.api.MLContext.executeScript(MLContext.java:1146)
> at org.apache.sysml.api.MLContext.executeScript(MLContext.java:1136)
> at org.apache.sysml.api.MLContext.executeScript(MLContext.java:1131)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
> at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:39)
> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:41)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
> at $iwC$$iwC$$iwC.<init>(<console>:45)
> at $iwC$$iwC.<init>(<console>:47)
> at $iwC.<init>(<console>:49)
> at <init>(<console>:51)
> at .<init>(<console>:55)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at
> org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: org.apache.sysml.runtime.DMLRuntimeException: ERROR: Runtime error
> in program block generated from statement block between lines 3 and 9 --
> Error evaluating instruction:
> SPARK°rblk°X·MATRIX·DOUBLE°_mVar2·MATRIX·DOUBLE°1000°1000°true
> at
> org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:333)
> at
> org.apache.sysml.runtime.controlprogram.ProgramBlock.executeInstructions(ProgramBlock.java:222)
> at
> org.apache.sysml.runtime.controlprogram.ProgramBlock.execute(ProgramBlock.java:166)
> at
> org.apache.sysml.runtime.controlprogram.Program.execute(Program.java:145)
> ... 51 more
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 0 in stage 6.0 failed 1 times, most recent failure: Lost task 0.0 in
> stage 6.0 (TID 10, localhost): java.lang.OutOfMemoryError: GC overhead limit
> exceeded
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$RowToBinaryBlockFunctionHelper.flushBlocksToList(RDDConverterUtilsExt.java:800)
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$RowToBinaryBlockFunctionHelper.convertToBinaryBlock(RDDConverterUtilsExt.java:736)
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$DataFrameToBinaryBlockFunction.call(RDDConverterUtilsExt.java:463)
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$DataFrameToBinaryBlockFunction.call(RDDConverterUtilsExt.java:448)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:192)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:192)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1952)
> at org.apache.spark.rdd.RDD$$anonfun$aggregate$1.apply(RDD.scala:1114)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.aggregate(RDD.scala:1107)
> at
> org.apache.spark.api.java.JavaRDDLike$class.aggregate(JavaRDDLike.scala:411)
> at
> org.apache.spark.api.java.AbstractJavaRDDLike.aggregate(JavaRDDLike.scala:46)
> at
> org.apache.sysml.runtime.instructions.spark.utils.SparkUtils.computeNNZFromBlocks(SparkUtils.java:458)
> at
> org.apache.sysml.runtime.controlprogram.context.SparkExecutionContext.writeRDDtoHDFS(SparkExecutionContext.java:802)
> at
> org.apache.sysml.runtime.controlprogram.caching.MatrixObject.readBlobFromRDD(MatrixObject.java:612)
> at
> org.apache.sysml.runtime.controlprogram.caching.MatrixObject.readBlobFromRDD(MatrixObject.java:62)
> at
> org.apache.sysml.runtime.controlprogram.caching.CacheableData.acquireRead(CacheableData.java:440)
> at
> org.apache.sysml.hops.recompile.Recompiler.executeInMemoryReblock(Recompiler.java:2067)
> at
> org.apache.sysml.runtime.instructions.spark.ReblockSPInstruction.processInstruction(ReblockSPInstruction.java:100)
> at
> org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:303)
> ... 54 more
> Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$RowToBinaryBlockFunctionHelper.flushBlocksToList(RDDConverterUtilsExt.java:800)
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$RowToBinaryBlockFunctionHelper.convertToBinaryBlock(RDDConverterUtilsExt.java:736)
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$DataFrameToBinaryBlockFunction.call(RDDConverterUtilsExt.java:463)
> at
> org.apache.sysml.runtime.instructions.spark.utils.RDDConverterUtilsExt$DataFrameToBinaryBlockFunction.call(RDDConverterUtilsExt.java:448)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:192)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$7$1.apply(JavaRDDLike.scala:192)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 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)
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