[ https://issues.apache.org/jira/browse/SPARK-18496?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Harish updated SPARK-18496: --------------------------- Affects Version/s: 2.0.2 > java.lang.AssertionError: assertion failed > ------------------------------------------ > > Key: SPARK-18496 > URL: https://issues.apache.org/jira/browse/SPARK-18496 > Project: Spark > Issue Type: Bug > Affects Versions: 2.0.2 > Environment: 2.0.2 snapshot > Reporter: Harish > > I am getting this error when i store the estimates from Julia output to a DF > and then i do df.cache() > py4j.protocol.Py4JJavaError: An error occurred while calling > z:org.apache.spark.api.python.PythonRDD.runJob. > : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 > in stage 177.0 failed 4 times, most recent failure: Lost task 0.3 in stage > 177.0 (TID 9722, 10.63.136.108): java.lang.AssertionError: assertion failed > at scala.Predef$.assert(Predef.scala:156) > at > org.apache.spark.storage.BlockInfo.checkInvariants(BlockInfoManager.scala:84) > at > org.apache.spark.storage.BlockInfo.readerCount_$eq(BlockInfoManager.scala:66) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2$$anonfun$apply$2.apply(BlockInfoManager.scala:362) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2$$anonfun$apply$2.apply(BlockInfoManager.scala:361) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2.apply(BlockInfoManager.scala:361) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2.apply(BlockInfoManager.scala:356) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:356) > at > org.apache.spark.storage.BlockManager.releaseAllLocksForTask(BlockManager.scala:646) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:281) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$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$$failJobAndIndependentStages(DAGScheduler.scala:1454) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1442) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1441) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1441) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1667) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1622) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1611) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1890) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1916) > at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:441) > at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala) > at sun.reflect.GeneratedMethodAccessor37.invoke(Unknown Source) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:498) > at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237) > at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) > at py4j.Gateway.invoke(Gateway.java:280) > at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) > at py4j.commands.CallCommand.execute(CallCommand.java:79) > at py4j.GatewayConnection.run(GatewayConnection.java:214) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.lang.AssertionError: assertion failed > at scala.Predef$.assert(Predef.scala:156) > at > org.apache.spark.storage.BlockInfo.checkInvariants(BlockInfoManager.scala:84) > at > org.apache.spark.storage.BlockInfo.readerCount_$eq(BlockInfoManager.scala:66) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2$$anonfun$apply$2.apply(BlockInfoManager.scala:362) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2$$anonfun$apply$2.apply(BlockInfoManager.scala:361) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2.apply(BlockInfoManager.scala:361) > at > org.apache.spark.storage.BlockInfoManager$$anonfun$releaseAllLocksForTask$2.apply(BlockInfoManager.scala:356) > at scala.collection.Iterator$class.foreach(Iterator.scala:893) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) > at > org.apache.spark.storage.BlockInfoManager.releaseAllLocksForTask(BlockInfoManager.scala:356) > at > org.apache.spark.storage.BlockManager.releaseAllLocksForTask(BlockManager.scala:646) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:281) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org