I'm unfortunately not able to reproduce this on master. Does the query always fail deterministically?
On Mon, Jun 13, 2016 at 12:54 PM, Ovidiu-Cristian MARCU < ovidiu-cristian.ma...@inria.fr> wrote: > Yes, commit ad102af > > On 13 Jun 2016, at 21:25, Reynold Xin <r...@databricks.com> wrote: > > Did you try this on master? > > > On Mon, Jun 13, 2016 at 11:26 AM, Ovidiu-Cristian MARCU < > ovidiu-cristian.ma...@inria.fr> wrote: > >> Hi, >> >> Running the first query of tpcds on a standalone setup (4 nodes, tpcds2 >> generated for scale 10 and transformed in parquet under hdfs) it results >> in one exception [1]. >> Close to this problem I found this issue >> https://issues.apache.org/jira/browse/SPARK-12089 but it seems to be >> solved. >> >> Running the second query is successful. >> >> OpenJDK 64-Bit Server VM 1.7.0_101-b00 on Linux 3.2.0-4-amd64 >> Intel(R) Xeon(R) CPU E5-2630 v3 @ 2.40GHz >> TPCDS Snappy: Best/Avg Time(ms) Rate(M/s) >> Per Row(ns) Relative >> >> ------------------------------------------------------------------------------------------------ >> q2 4512 / 8142 0.0 >> 61769.4 1.0X >> >> Best, >> Ovidiu >> >> [1] >> WARN TaskSetManager: Lost task 17.0 in stage 80.0 (TID 4469, >> 172.16.96.70): java.lang.NegativeArraySizeException >> at >> org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder.grow(BufferHolder.java:61) >> at >> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write(UnsafeRowWriter.java:214) >> at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown >> Source) >> at >> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) >> at >> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$doExecute$3$$anon$2.hasNext(WholeStageCodegenExec.scala:386) >> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) >> at >> scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:30) >> at org.spark_project.guava.collect.Ordering.leastOf(Ordering.java:628) >> at org.apache.spark.util.collection.Utils$.takeOrdered(Utils.scala:37) >> at >> org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1365) >> at >> org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1362) >> at >> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757) >> at >> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757) >> at >> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) >> at org.apache.spark.scheduler.Task.run(Task.scala:85) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:745) >> >> ERROR TaskSetManager: Task 17 in stage 80.0 failed 4 times; aborting job >> >> Driver stacktrace: >> at org.apache.spark.scheduler.DAGScheduler.org >> <http://org.apache.spark.scheduler.dagscheduler.org/> >> $apache$spark$scheduler$DAGScheduler$$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$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:806) >> at >> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:806) >> at scala.Option.foreach(Option.scala:257) >> at >> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:806) >> at >> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1644) >> at >> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1603) >> at >> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1592) >> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1872) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1935) >> at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:974) >> at >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) >> at >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) >> at org.apache.spark.rdd.RDD.withScope(RDD.scala:357) >> at org.apache.spark.rdd.RDD.reduce(RDD.scala:956) >> at org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1.apply(RDD.scala:1371) >> at >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) >> at >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) >> at org.apache.spark.rdd.RDD.withScope(RDD.scala:357) >> at org.apache.spark.rdd.RDD.takeOrdered(RDD.scala:1358) >> at >> org.apache.spark.sql.execution.TakeOrderedAndProjectExec.executeCollect(limit.scala:128) >> at >> org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2163) >> at >> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57) >> at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2489) >> at org.apache.spark.sql.Dataset.org >> <http://org.apache.spark.sql.dataset.org/> >> $apache$spark$sql$Dataset$$execute$1(Dataset.scala:2162) >> at >> org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2167) >> at >> org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$collect$1.apply(Dataset.scala:2167) >> at org.apache.spark.sql.Dataset.withCallback(Dataset.scala:2502) >> at org.apache.spark.sql.Dataset.org >> <http://org.apache.spark.sql.dataset.org/> >> $apache$spark$sql$Dataset$$collect(Dataset.scala:2167) >> at org.apache.spark.sql.Dataset.collect(Dataset.scala:2143) >> at >> org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark$$anonfun$tpcdsAll$2$$anonfun$apply$2.apply$mcVI$sp(TPCDSQueryBenchmark.scala:88) >> at >> org.apache.spark.util.Benchmark$$anonfun$addCase$1.apply(Benchmark.scala:75) >> at >> org.apache.spark.util.Benchmark$$anonfun$addCase$1.apply(Benchmark.scala:73) >> at org.apache.spark.util.Benchmark.measure(Benchmark.scala:135) >> at org.apache.spark.util.Benchmark$$anonfun$1.apply(Benchmark.scala:104) >> at org.apache.spark.util.Benchmark$$anonfun$1.apply(Benchmark.scala:102) >> at >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> at >> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) >> at >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) >> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) >> at scala.collection.AbstractTraversable.map(Traversable.scala:104) >> at org.apache.spark.util.Benchmark.run(Benchmark.scala:102) >> at >> org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark$$anonfun$tpcdsAll$2.apply(TPCDSQueryBenchmark.scala:90) >> at >> org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark$$anonfun$tpcdsAll$2.apply(TPCDSQueryBenchmark.scala:57) >> at >> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33) >> at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35) >> at >> org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark$.tpcdsAll(TPCDSQueryBenchmark.scala:57) >> at >> org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark$.main(TPCDSQueryBenchmark.scala:135) >> at >> org.apache.spark.sql.execution.benchmark.TPCDSQueryBenchmark.main(TPCDSQueryBenchmark.scala) >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> at >> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >> at >> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >> at java.lang.reflect.Method.invoke(Method.java:606) >> at >> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729) >> at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185) >> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210) >> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124) >> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >> Caused by: java.lang.NegativeArraySizeException >> at >> org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder.grow(BufferHolder.java:61) >> at >> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter.write(UnsafeRowWriter.java:214) >> at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown >> Source) >> at >> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) >> at >> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$doExecute$3$$anon$2.hasNext(WholeStageCodegenExec.scala:386) >> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) >> at >> scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:30) >> at org.spark_project.guava.collect.Ordering.leastOf(Ordering.java:664) >> at org.apache.spark.util.collection.Utils$.takeOrdered(Utils.scala:37) >> at >> org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1365) >> at >> org.apache.spark.rdd.RDD$$anonfun$takeOrdered$1$$anonfun$30.apply(RDD.scala:1362) >> at >> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757) >> at >> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$23.apply(RDD.scala:757) >> at >> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) >> at org.apache.spark.scheduler.Task.run(Task.scala:85) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >> at java.lang.Thread.run(Thread.java:745) >> >> > > -- Sameer Agarwal Software Engineer | Databricks Inc. http://cs.berkeley.edu/~sameerag
