How to deal with categoricalFeaturesInfo?

How to deal with categoricalFeaturesInfo? - apache-spark

How do I deal with categoricalFeaturesInfo in RandomForest?
I created a list of variables like this:
alllist = listdouble + listint + listcategorielfeatures
But when I create LabeledPoint I lose this order.
How can I keep type of my variable like int for categorial features that I had StringIndexer before.
Error :
Py4JJavaError: An error occurred while calling o20271.trainRandomForestModel.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 29 in stage 1898.0 failed 4 times, most recent failure: Lost task 29.3 in stage 1898.0 (TID 748788, prbigdata1s013.bigplay.bigdata.intraxa): java.lang.IllegalArgumentException: DecisionTree given invalid data: Feature 517 is categorical with values in {0,...,16, but a data point gives it value 48940.0.
Bad data point: (1.0,(825,[0,1,2,4,8,17,19,21,27,31,32,50,52,56,57,75,77,78,79,80,83,89,96,97,98,99,101,103,104,105,108,114,121,122,123,124,126,128,129,130,132,133,134,135,136,138,139,140,141,142,156,157,160,161,163,164,165,166,167,181,182,185,186,187,190,191,202,203,204,205,206,207,208,209,210,213,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,238,245,246,247,248,249,250,251,260,262,263,264,265,266,269,270,271,272,273,275,276,277,278,279,280,281,282,283,284,293,294,295,298,308,309,312,328,350,368,371,379,384,385,388,389,390,391,392,393,394,395,396,397,398,402,403,404,405,406,407,408,409,410,411,412,416,417,418,419,420,421,422,423,424,425,426,428,429,430,431,432,433,434,435,436,437,438,439,440,447,448,449,450,451,452,453,454,455,456,457,460,464,465,466,470,473,477,481,482,483,484,485,486,487,488,489,490,491,492,493,496,497,498,499,500,501,502,503,504,505,506,507,508,511,512,513,514,515,516,517,518,519,520,521,522,523,526,527,528,529,530,531,532,533,534,535,536,537,538,541,542,550,554,556,562,564,565,566,567,568,569,570,571,572,573,574,575,576,644,646,647,648,649,651,654,655,656,657,663,664,666,667,668,669,670,671,672,673,675,677,678,679,680,681,682,683,684,685,687,688,689,690,691,692,693,694,695,696,697,698,699,700,704,709,710,711,712,713,714,715,716,717,718,729,734,735,737,738,739,740,741,742,743,744,745,747,748,749,750,751,752,753,754,755,756,758,760,761,764,765,766,767,768,769,774,776,777,779,780,781,782,783,784,786,787,788,789,790,791,793,794,796,797,798,799,800,801,802,803,804,805,808,809,810,811,814,816,817,824],[10.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,200.0,2000.0,2000.0,460.0,305.0,2000.0,2000.0,460.0,305.0,81.76,69.8,31.66,5.28,18.8,162.06,20.6,51.96,27.6,108.74,77.5,66.16,30.0,5.0,17.82,153.62,19.52,49.24,26.18,103.08,1.23456789E9,1.23456789E9,1.23456789E9,0.01,2.0,14.0,14.0,63.0,3.0,1.0,1.0,1.0,1.0,2.0,1.0,1.0,3.0,3.0,1.0,1.0,1.0,1.0,3.0,2.0,2.0,3.0,1.0,400.0,1.0,1.0,13.0,15.0,19.0,20.0,25.0,1.23456789E9,1.23456789E9,1.23456789E9,3.0,5.0,6.0,7.0,8.0,9.0,10.0,12.0,1.0,13.0,15.0,19.0,20.0,25.0,1.23456789E9,1.23456789E9,1.23456789E9,3.0,5.0,6.0,7.0,8.0,9.0,10.0,12.0,1210.0,8.0,121112.0,130912.0,28.0,1.0,17450.0,1.0,8.0,1.0,1.0,8508.0,8508.0,10550.0,10000.0,8889.0,8426.0,8889.0,8426.0,8889.0,8426.0,8889.0,8426.0,2.0,1.0,100.0,100.0,4.0,1.0,1.0,1.0,1.0,3.0,1.0,1.0,4.0,5.0,3.0,4.0,10.0,11.0,12.0,10.0,10.0,7.0,4.0,4.0,4.0,3.0,4.0,10.0,11.0,12.0,10.0,10.0,7.0,4.0,4.0,4.0,3.0,4.0,10.0,11.0,13.0,10.0,9.0,7.0,5.0,1.0,1.0,4.0,4.0,3.0,4.0,10.0,11.0,14.0,10.0,9.0,7.0,5.0,4.0,5.0,3.0,4.0,10.0,11.0,12.0,10.0,10.0,7.0,4.0,2.0,1.0,1.0,1.0,15.0,1.0,1.0,38335.0,8815.0,78408.0,44160.0,37187.0,1079.0,51630.0,11873.0,17102.0,11839.0,10126.0,22676.0,7000.0,39303.0,9037.0,81842.0,48036.0,37187.0,1116.0,51630.0,11873.0,17102.0,11839.0,10126.0,22676.0,7000.0,40971.0,9422.0,80086.0,44257.0,37000.0,1064.0,48940.0,11255.0,16212.0,11224.0,9598.0,18600.0,7948.0,40971.0,9422.0,80086.0,44257.0,37000.0,1064.0,48940.0,11255.0,16212.0,11224.0,9598.0,18600.0,7948.0,1.2345678901234567E9,1.2345678901234567E9,1381780.0,1183365.0,1.23456789E9,1.0,1400.0,1400.0,1400.0,1400.0,1400.0,800.0,1400.0,1400.0,1400.0,1400.0,1400.0,1400.0,1400.0,462191.0,462191.0,677785.0,694715.0,729570.0,8.0,2.0,16.0,6.0,1.0,4.0,1.0,1.23456789E9,1.0,1.23456789E9,1.23456789E9,1.23456789E9,1.23456789E9,1.23456789E9,68.0,3304.0,24.0,54.0,34.0,2654.0,84.0,2494.0,2504.0,2534.0,44.0,6908.9,766.7,176.3,1568.16,883.2,743.74,21.58,1032.6,237.46,342.04,236.78,202.52,453.52,140.0,1.0,3.0,1.0,3.0,3.0,5.0,6.0,3.0,2.0,1.0,1.0,13.0,16.0,1.23456789E9,1.0,743.74,1595.08,342.52,21.58,1910.2,413.76,453.52,1119.98,1799.3,6804.6,2.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,4621.91,1.0,2533.0,2940.49,2940.49,-1242.0,64.0,8832.67,1.0,2.0,1.0,101.0,1398.0,1581.0,1581.0,2281.0,1145.0,5.0,1.23456789E9,1070.0,4.0,50.0,1.2345678901234567E9,3000.0,1.23456789E9,5499.0,66240.0,66.0,1.23456789E9,1.23456789E9,1.0,1.0,1.23456789E9,3.0,1.23456789E9,1.23456789E9,1.23456789E9,3.0,3.0,1.0,6.0,1.23456789E9,1.23456789E9]))
at org.apache.spark.mllib.tree.impl.TreePoint$.findBin(TreePoint.scala:140)
at org.apache.spark.mllib.tree.impl.TreePoint$.org$apache$spark$mllib$tree$impl$TreePoint$$labeledPointToTreePoint(TreePoint.scala:84)
at org.apache.spark.mllib.tree.impl.TreePoint$$anonfun$convertToTreeRDD$2.apply(TreePoint.scala:66)
at org.apache.spark.mllib.tree.impl.TreePoint$$anonfun$convertToTreeRDD$2.apply(TreePoint.scala:65)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:278)
at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1294)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1282)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1281)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1281)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1507)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1469)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1850)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1921)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
at org.apache.spark.rdd.RDD.collect(RDD.scala:904)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$collectAsMap$1.apply(PairRDDFunctions.scala:686)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$collectAsMap$1.apply(PairRDDFunctions.scala:685)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
at org.apache.spark.rdd.PairRDDFunctions.collectAsMap(PairRDDFunctions.scala:685)
at org.apache.spark.mllib.tree.DecisionTree$.findBestSplits(DecisionTree.scala:654)
at org.apache.spark.mllib.tree.RandomForest.run(RandomForest.scala:235)
at org.apache.spark.mllib.tree.RandomForest$.trainClassifier(RandomForest.scala:291)
at org.apache.spark.mllib.api.python.PythonMLLibAPI.trainRandomForestModel(PythonMLLibAPI.scala:742)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.IllegalArgumentException: DecisionTree given invalid data: Feature 517 is categorical with values in {0,...,16, but a data point gives it value 48940.0.

Related

Job aborted due to stage failure: Task 0 in stage 15.0 failed 1 times error in PYSPARK

Hi everyone I am new in spark world. I am trying to write DF to csv file.
df1.coalesce(1).write.mode("overwrite").option("sep",",").option("header","True").option("inferSchema", "True").csv("Scala_ve_Python_ile_Spark\\3_SparkDF_API\\temiz_veri")
But I am getting an error.
I read topics about that error but it couldn't help. One's about in linux and IDE, other one was telling NULL values shouldn't be in df but it doesn't matter because when I tried without null values I got same error again.
Spark version 2.4.7
Java Version 8
JDK Version jdk1.8.0_351
Error:
An error occurred while calling o383.csv.
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:198)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:83)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:81)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:696)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:696)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:696)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:305)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:291)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:249)
at org.apache.spark.sql.DataFrameWriter.csv(DataFrameWriter.scala:684)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 15.0 failed 1 times, most recent failure: Lost task 0.0 in stage 15.0 (TID 15, localhost, executor driver): java.io.IOException: (null) entry in command string: null chmod 0644 C:\Users\TOTORO\OneDrive\Masaüstü\Veri_Bilimi_Genel\Scala_ve_Python_ile_Spark\3_SparkDF_API\yeni\_temporary\0\_temporary\attempt_20221101221248_0015_m_000000_15\part-00000-3ab0d89d-2c1e-47c7-8867-4f3aa7154794-c000.csv
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:770)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:81)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:85)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:236)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1925)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1913)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1912)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1912)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:948)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2146)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2095)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2084)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:759)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:167)
... 33 more
Caused by: java.io.IOException: (null) entry in command string: null chmod 0644 C:\Users\TOTORO\OneDrive\Masaüstü\Veri_Bilimi_Genel\Scala_ve_Python_ile_Spark\3_SparkDF_API\yeni\_temporary\0\_temporary\attempt_20221101221248_0015_m_000000_15\part-00000-3ab0d89d-2c1e-47c7-8867-4f3aa7154794-c000.csv
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:770)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:866)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:849)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:733)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:225)
at org.apache.hadoop.fs.RawLocalFileSystem$LocalFSFileOutputStream.<init>(RawLocalFileSystem.java:209)
at org.apache.hadoop.fs.RawLocalFileSystem.createOutputStreamWithMode(RawLocalFileSystem.java:307)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:296)
at org.apache.hadoop.fs.RawLocalFileSystem.create(RawLocalFileSystem.java:328)
at org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSOutputSummer.<init>(ChecksumFileSystem.java:398)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:461)
at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStream(CodecStreams.scala:81)
at org.apache.spark.sql.execution.datasources.CodecStreams$.createOutputStreamWriter(CodecStreams.scala:92)
at org.apache.spark.sql.execution.datasources.csv.CsvOutputWriter.<init>(CSVFileFormat.scala:177)
at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anon$1.newInstance(CSVFileFormat.scala:85)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:120)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:236)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
I read topics about that error but it couldn't help. One's about in linux and IDE, other one was telling NULL values shouldn't be in df but it doesn't matter because when I tried without null values I got same error again.

Write a CSV file to ADLS container from DataBricks

Have given Public access to the container as well as storage account has full access.
Using scope and key to read the data.
I can able to read the data but not able to write. Facing below error.
Py4JJavaError: An error occurred while calling o4764.save.
: org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:198)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:201)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:110)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:108)
at org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:128)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:146)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:134)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$5.apply(SparkPlan.scala:187)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:183)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:134)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:116)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:116)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:711)
at org.apache.spark.sql.execution.SQLExecution$$anonfun$withCustomExecutionEnv$1.apply(SQLExecution.scala:111)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:241)
at org.apache.spark.sql.execution.SQLExecution$.withCustomExecutionEnv(SQLExecution.scala:97)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:171)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:711)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:307)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:235)
at sun.reflect.GeneratedMethodAccessor526.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:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380)
at py4j.Gateway.invoke(Gateway.java:295)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:251)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 129.0 failed 4 times, most recent failure: Lost task 0.3 in stage 129.0 (TID 1872, localhost, executor driver): shaded.databricks.org.apache.hadoop.fs.azure.AzureException: java.util.NoSuchElementException: An error occurred while enumerating the result, check the original exception for details.
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.retrieveMetadata(AzureNativeFileSystemStore.java:2109)
at shaded.databricks.org.apache.hadoop.fs.azure.NativeAzureFileSystem.getAncestor(NativeAzureFileSystem.java:2665)
at shaded.databricks.org.apache.hadoop.fs.azure.NativeAzureFileSystem.create(NativeAzureFileSystem.java:1743)
at shaded.databricks.org.apache.hadoop.fs.azure.NativeAzureFileSystem.create(NativeAzureFileSystem.java:1593)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789)
at com.databricks.sql.transaction.directory.DirectoryAtomicCommitProtocol.newTaskTempFileAbsPath(DirectoryAtomicCommitProtocol.scala:121)
at com.databricks.sql.transaction.directory.DirectoryAtomicCommitProtocol.newTaskTempFile(DirectoryAtomicCommitProtocol.scala:102)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:115)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:236)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:139)
at org.apache.spark.scheduler.Task.run(Task.scala:112)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1526)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:503)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.util.NoSuchElementException: An error occurred while enumerating the result, check the original exception for details.
at com.microsoft.azure.storage.core.LazySegmentedIterator.hasNext(LazySegmentedIterator.java:113)
at shaded.databricks.org.apache.hadoop.fs.azure.StorageInterfaceImpl$WrappingIterator.hasNext(StorageInterfaceImpl.java:133)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.retrieveMetadata(AzureNativeFileSystemStore.java:2087)
... 22 more
Caused by: com.microsoft.azure.storage.StorageException: The specified resource does not exist.
at com.microsoft.azure.storage.StorageException.translateException(StorageException.java:89)
at com.microsoft.azure.storage.core.StorageRequest.materializeException(StorageRequest.java:305)
at com.microsoft.azure.storage.core.ExecutionEngine.executeWithRetry(ExecutionEngine.java:178)
at com.microsoft.azure.storage.core.LazySegmentedIterator.hasNext(LazySegmentedIterator.java:109)
... 24 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:2355)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2343)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:2342)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2342)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1096)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:1096)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1096)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2574)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2522)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2510)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:893)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2243)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:167)
... 32 more
Caused by: shaded.databricks.org.apache.hadoop.fs.azure.AzureException: java.util.NoSuchElementException: An error occurred while enumerating the result, check the original exception for details.
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.retrieveMetadata(AzureNativeFileSystemStore.java:2109)
at shaded.databricks.org.apache.hadoop.fs.azure.NativeAzureFileSystem.getAncestor(NativeAzureFileSystem.java:2665)
at shaded.databricks.org.apache.hadoop.fs.azure.NativeAzureFileSystem.create(NativeAzureFileSystem.java:1743)
at shaded.databricks.org.apache.hadoop.fs.azure.NativeAzureFileSystem.create(NativeAzureFileSystem.java:1593)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789)
at com.databricks.sql.transaction.directory.DirectoryAtomicCommitProtocol.newTaskTempFileAbsPath(DirectoryAtomicCommitProtocol.scala:121)
at com.databricks.sql.transaction.directory.DirectoryAtomicCommitProtocol.newTaskTempFile(DirectoryAtomicCommitProtocol.scala:102)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.newOutputWriter(FileFormatDataWriter.scala:115)
at org.apache.spark.sql.execution.datasources.SingleDirectoryDataWriter.<init>(FileFormatDataWriter.scala:108)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:236)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:139)
at org.apache.spark.scheduler.Task.run(Task.scala:112)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$13.apply(Executor.scala:497)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1526)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:503)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Caused by: java.util.NoSuchElementException: An error occurred while enumerating the result, check the original exception for details.
at com.microsoft.azure.storage.core.LazySegmentedIterator.hasNext(LazySegmentedIterator.java:113)
at shaded.databricks.org.apache.hadoop.fs.azure.StorageInterfaceImpl$WrappingIterator.hasNext(StorageInterfaceImpl.java:133)
at shaded.databricks.org.apache.hadoop.fs.azure.AzureNativeFileSystemStore.retrieveMetadata(AzureNativeFileSystemStore.java:2087)
... 22 more
Caused by: com.microsoft.azure.storage.StorageException: The specified resource does not exist.
at com.microsoft.azure.storage.StorageException.translateException(StorageException.java:89)
at com.microsoft.azure.storage.core.StorageRequest.materializeException(StorageRequest.java:305)
at com.microsoft.azure.storage.core.ExecutionEngine.executeWithRetry(ExecutionEngine.java:178)
at com.microsoft.azure.storage.core.LazySegmentedIterator.hasNext(LazySegmentedIterator.java:109)
... 24 more

How to permute an array in PySpark? [duplicate]

This question already has answers here:
Spark Error:expected zero arguments for construction of ClassDict (for numpy.core.multiarray._reconstruct)
(6 answers)
Closed 5 years ago.
I have a DataFrame column with an array of strings. I've tried creating a udf and using numpy to permute (unit is the column name):
def permute(row):
return np.random.permutation(row)
udfPermute = udf(permute, ArrayType(StringType()))
print(units.withColumn("shuffled", udfPermute("unit")).head(5))
Py4JJavaError: An error occurred while calling o4246.collectToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 871.0 failed 1 times, most recent failure: Lost task 0.0 in stage 871.0 (TID 1224, localhost, executor driver): net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for numpy.core.multiarray._reconstruct)
at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23)
at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707)
at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175)
at net.razorvine.pickle.Unpickler.load(Unpickler.java:99)
at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$$anonfun$doExecute$1$$anonfun$apply$6.apply(BatchEvalPythonExec.scala:156)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$$anonfun$doExecute$1$$anonfun$apply$6.apply(BatchEvalPythonExec.scala:155)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:333)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply$mcI$sp(Dataset.scala:2745)
at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2742)
at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:2742)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765)
at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:2742)
at sun.reflect.GeneratedMethodAccessor77.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:244)
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: net.razorvine.pickle.PickleException: expected zero arguments for construction of ClassDict (for numpy.core.multiarray._reconstruct)
at net.razorvine.pickle.objects.ClassDictConstructor.construct(ClassDictConstructor.java:23)
at net.razorvine.pickle.Unpickler.load_reduce(Unpickler.java:707)
at net.razorvine.pickle.Unpickler.dispatch(Unpickler.java:175)
at net.razorvine.pickle.Unpickler.load(Unpickler.java:99)
at net.razorvine.pickle.Unpickler.loads(Unpickler.java:112)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$$anonfun$doExecute$1$$anonfun$apply$6.apply(BatchEvalPythonExec.scala:156)
at org.apache.spark.sql.execution.python.BatchEvalPythonExec$$anonfun$doExecute$1$$anonfun$apply$6.apply(BatchEvalPythonExec.scala:155)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:231)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:225)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:826)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
In [161]:
How can I accomplish this?

You are returning a numpy array, you need to return a list instead.
Change your UDF as below and it should work.
def permute(row):
return np.random.permutation(row).tolist()

Inspecting GraphX Graph Object

Spark version 1.6.1
Creating Edge and Vertex RDDs
val vertices_raw = sqlContext.read.json("vertices.json.gz")
val vertices = vertices_raw.rdd.map(row=> ((row.getAs[String]("toid").stripPrefix("osgb").toLong),row.getAs[String]("index")))
val verticesRDD: RDD[(VertexId, String)] = vertices
val edges_raw = sqlContext.read.json("edges.json.gz")
val edgesRDD = edges_raw.rdd.map(row=>(Edge(row.getAs[String]("positiveNode").stripPrefix("osgb").toLong, row.getAs[String]("negativeNode").stripPrefix("osgb").toLong, row.getAs[Double]("length"))))
I have an EdgesRDD that I can inspect
[IN] edgesRDD
res10: org.apache.spark.rdd.RDD[org.apache.spark.graphx.Edge[Double]] = MapPartitionsRDD[19] at map at <console>:38
[IN] edgesRDD.foreach(println)
Edge(5000005125036254,5000005125036231,42.26548472559799)
Edge(5000005125651333,5000005125651330,29.557979625165135)
Edge(5000005125651329,5000005125651330,81.9310872300414)
I have a verticesRDD
[IN] verticesRDD
res12: org.apache.spark.rdd.RDD[(Long, String)] = MapPartitionsRDD[9] at map at <console>:38
[IN] verticesRDD.foreach(println)
(5000005125651331,343722)
(5000005125651332,343723)
(5000005125651333,343724)
I combine these to create a graph.
[IN] val graph: Graph[(String),Double] = Graph(verticesRDD, edgesRDD)
graph: org.apache.spark.graphx.Graph[String,Double] = org.apache.spark.graphx.impl.GraphImpl#303bbd02
I can inspect the edgesRDD within the graph object:
[IN] graph.edges.foreach(println)
Edge(5000005125774813,4000000029917080,72.9742898009203)
Edge(5000005125774814,5000005125774813,49.87951589790352)
Edge(5000005125775080,4000000029936370,69.62871049042008)
However, when I inspect the verticesRDD:
[IN] graph.vertices.foreach(println)
Is there an issue with my graph construction?
ERROR Executor: Exception in task 0.0 in stage 15.0 (TID 13)
java.lang.ArrayStoreException: java.lang.Long
at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
at org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap.setMerge(GraphXPrimitiveKeyOpenHashMap.scala:87)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:61)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:60)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.graphx.impl.ShippableVertexPartition$.apply(ShippableVertexPartition.scala:60)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:328)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:325)
at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
at org.apache.spark.graphx.VertexRDD.compute(VertexRDD.scala:71)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/08/17 12:27:16 WARN TaskSetManager: Lost task 0.0 in stage 15.0 (TID 13, localhost): java.lang.ArrayStoreException: java.lang.Long
at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
at org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap.setMerge(GraphXPrimitiveKeyOpenHashMap.scala:87)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:61)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:60)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.graphx.impl.ShippableVertexPartition$.apply(ShippableVertexPartition.scala:60)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:328)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:325)
at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
at org.apache.spark.graphx.VertexRDD.compute(VertexRDD.scala:71)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/08/17 12:27:16 ERROR TaskSetManager: Task 0 in stage 15.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 15.0 failed 1 times, most recent failure: Lost task 0.0 in stage 15.0 (TID 13, localhost): java.lang.ArrayStoreException: java.lang.Long
at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
at org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap.setMerge(GraphXPrimitiveKeyOpenHashMap.scala:87)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:61)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:60)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.graphx.impl.ShippableVertexPartition$.apply(ShippableVertexPartition.scala:60)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:328)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:325)
at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
at org.apache.spark.graphx.VertexRDD.compute(VertexRDD.scala:71)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$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:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:912)
at org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:910)
at org.apache.spark.rdd.RDDOperationScope$.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.foreach(RDD.scala:910)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:52)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:54)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:56)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:58)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:60)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:62)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:64)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:66)
at $iwC$$iwC$$iwC.<init>(<console>:68)
at $iwC$$iwC.<init>(<console>:70)
at $iwC.<init>(<console>:72)
at <init>(<console>:74)
at .<init>(<console>:78)
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$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ArrayStoreException: java.lang.Long
at scala.runtime.ScalaRunTime$.array_update(ScalaRunTime.scala:88)
at org.apache.spark.graphx.util.collection.GraphXPrimitiveKeyOpenHashMap.setMerge(GraphXPrimitiveKeyOpenHashMap.scala:87)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:61)
at org.apache.spark.graphx.impl.ShippableVertexPartition$$anonfun$apply$5.apply(ShippableVertexPartition.scala:60)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
at org.apache.spark.graphx.impl.ShippableVertexPartition$.apply(ShippableVertexPartition.scala:60)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:328)
at org.apache.spark.graphx.VertexRDD$$anonfun$2.apply(VertexRDD.scala:325)
at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:88)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
at org.apache.spark.graphx.VertexRDD.compute(VertexRDD.scala:71)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$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)
Edit. After some digging, is this related? I have checked the VertexId requirements:
VertexId = type Long
A 64-bit vertex identifier that uniquely identifies a vertex within a graph.
The unique fields I have provided, for example, 5000005125036318 are satisfactory.

Yes. Your issue is related to ArrayStoreException as your current code tries to store Long type into an array of String.
ArrayStoreException is thrown to indicate that an attempt has been made to store the wrong
type of object into an array of objects
Why ArrayStoreException?
Below is a snapshot from your vertices.json.gz file:
{"toid": "osgb4000000031043205", "index": 1, "point": [508180.748, 195333.973]}
{"toid": "osgb4000000031043206", "index": 2, "point": [508163.122, 195316.627]}
{"toid": "osgb4000000031043207", "index": 3, "point": [508172.075, 195325.719]}
{"toid": "osgb4000000031043208", "index": 4, "point": [508513, 196023]}
Where "index" values are by default read as LongType when creating vertices_raw DataFrame, as seen below:
scala> vertices_raw.schema
res4: org.apache.spark.sql.types.StructType = StructType(StructField(index,LongType,true), StructField(point,ArrayType(DoubleType,true),true), StructField(toid,StringType,true))
and when you create your graph, Long types are getting stored into array of String which causes this exception:
val graph: Graph[(String),Double] = Graph(verticesRDD, edgesRDD)
Solution 1:
Use Long for index, i.e. replace below lines:
val vertices = vertices_raw.rdd.map(row=> ((row.getAs[String]("toid").stripPrefix("osgb").toLong),row.getAs[String]("index")))
val verticesRDD: RDD[(VertexId, String)] = vertices
val graph: Graph[(String),Double] = Graph(verticesRDD, edgesRDD)
with:
val vertices = vertices_raw.rdd.map(row=> ((row.getAs[String]("toid").stripPrefix("osgb").toLong),row.getAs[Long]("index")))
val verticesRDD: RDD[(VertexId, Long)] = vertices
val graph: Graph[(Long),Double] = Graph(verticesRDD, edgesRDD)
Solution 2:
Create a new DataFrame vertices_raw2 from vertices_raw to convert index's type from LongType to StringType as show below:
import org.apache.spark.sql.functions._
val to_string = udf[String, Long]( _.toString)
val vertices_raw2 = vertices_raw.withColumn("index", to_string(vertices_raw("index"))).select("index", "toid")
and then further use vertices_raw2 DataFrame to create your vertices RDD:
val vertices = vertices_raw2.rdd.map(row=> ((row.getAs[String]("toid").stripPrefix("osgb").toLong),row.getAs[String]("index")))
Output:
scala> graph.edges.foreach(println)
Edge(5000005125740769,4000000029965899,51.55460482650549)
Edge(5000005125740770,5000005125740759,26.108461618676447)
Edge(5000005125740771,5000005125740763,30.841246458481766) ...
scala> graph.vertices.foreach(println)
(4000000029867298,58335)
(4000000029892180,10846)
(4000000027730512,338018)
(4000000023185673,43945) ...

exception thrown on worker gets "Task exception could not be deserialized" ClassNotFoundException error

When an exception defined in my application is thrown on a worker, for example in a map:
sc.parallelize(0 until 10000).map(x =>
if (x == 7938)
throw new FatalException("oops")
else
x).sum()
I get a error of the form:
16/04/06 15:07:55 WARN ThrowableSerializationWrapper: Task exception could not be deserialized
java.lang.ClassNotFoundException: $line15.$read$$iwC$$iwC$FatalException
which is propagated to the driver as a SparkException: ReasonUnknown:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 0.0 failed 1 times, most recent failure: Lost task 6.0 in stage 0.0 (TID 6, localhost): UnknownReason
This is a serious problem since I can't diagnose errors in the driver or report them meaningfully to the application user.
If I throw a SparkException, on the other hand, I get a nice:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 1.0 failed 1 times, most recent failure: Lost task 6.0 in stage 1.0 (TID 14, localhost): org.apache.spark.SparkException: oops
I'm guess the class loader deserializing the propagated exception isn't seeing my application jar (or in this case, the class defined in spark-shell), but I haven't been able to find a workaround. Any ideas?
I'm seeing this in an application run through spark-submit, but here's a full example through spark-shell:
$ /usr/local/spark-1.5.2-bin-hadoop2.6/bin/spark-shell
log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Using Spark's repl log4j profile: org/apache/spark/log4j-defaults-repl.properties
To adjust logging level use sc.setLogLevel("INFO")
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 1.5.2
/_/
Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_45)
Type in expressions to have them evaluated.
Type :help for more information.
16/04/06 15:07:38 WARN MetricsSystem: Using default name DAGScheduler for source because spark.app.id is not set.
Spark context available as sc.
16/04/06 15:07:39 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/04/06 15:07:39 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/04/06 15:07:41 WARN ObjectStore: Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
16/04/06 15:07:41 WARN ObjectStore: Failed to get database default, returning NoSuchObjectException
16/04/06 15:07:42 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/04/06 15:07:42 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
16/04/06 15:07:42 WARN Connection: BoneCP specified but not present in CLASSPATH (or one of dependencies)
SQL context available as sqlContext.
scala> class FatalException(msg: String) extends RuntimeException(msg)
defined class FatalException
scala> sc.parallelize(0 until 10000).map(x => if (x == 7938) throw new FatalException("oops") else x).sum()
[Stage 0:> (0 + 0) / 8]16/04/06 15:07:55 ERROR Executor: Exception in task 6.0 in stage 0.0 (TID 6)
$line15.$read$$iwC$$iwC$FatalException: oops
at $line19.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply$mcII$sp(<console>:23)
at $line19.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:23)
at $line19.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:23)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.fold(TraversableOnce.scala:199)
at scala.collection.AbstractIterator.fold(Iterator.scala:1157)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/04/06 15:07:55 WARN ThrowableSerializationWrapper: Task exception could not be deserialized
java.lang.ClassNotFoundException: $line15.$read$$iwC$$iwC$FatalException
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.ThrowableSerializationWrapper.readObject(TaskEndReason.scala:167)
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:497)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1896)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1993)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1918)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1993)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1918)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply$mcV$sp(TaskResultGetter.scala:108)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply(TaskResultGetter.scala:105)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply(TaskResultGetter.scala:105)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1699)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:105)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/04/06 15:07:55 ERROR TaskResultGetter: Could not deserialize TaskEndReason: ClassNotFound with classloader org.apache.spark.repl.SparkIMain$TranslatingClassLoader#4538856f
16/04/06 15:07:55 WARN TaskSetManager: Lost task 6.0 in stage 0.0 (TID 6, localhost): UnknownReason
16/04/06 15:07:55 ERROR TaskSetManager: Task 6 in stage 0.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 0.0 failed 1 times, most recent failure: Lost task 6.0 in stage 0.0 (TID 6, localhost): UnknownReason
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.rdd.RDD$$anonfun$fold$1.apply(RDD.scala:1063)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at org.apache.spark.rdd.RDD.fold(RDD.scala:1057)
at org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply$mcD$sp(DoubleRDDFunctions.scala:34)
at org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply(DoubleRDDFunctions.scala:34)
at org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply(DoubleRDDFunctions.scala:34)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at org.apache.spark.rdd.DoubleRDDFunctions.sum(DoubleRDDFunctions.scala:33)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:23)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:28)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:30)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:34)
at $iwC$$iwC$$iwC.<init>(<console>:36)
at $iwC$$iwC.<init>(<console>:38)
at $iwC.<init>(<console>:40)
at <init>(<console>:42)
at .<init>(<console>:46)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$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$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
scala> import org.apache.spark._
import org.apache.spark._
scala> sc.parallelize(0 until 10000).map(x => if (x == 7938) throw new SparkException("oops") else x).sum()
16/04/06 15:08:05 ERROR Executor: Exception in task 6.0 in stage 1.0 (TID 14)
org.apache.spark.SparkException: oops
at $line23.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply$mcII$sp(<console>:25)
at $line23.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at $line23.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.fold(TraversableOnce.scala:199)
at scala.collection.AbstractIterator.fold(Iterator.scala:1157)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
16/04/06 15:08:05 WARN TaskSetManager: Lost task 6.0 in stage 1.0 (TID 14, localhost): org.apache.spark.SparkException: oops
at $line23.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply$mcII$sp(<console>:25)
at $line23.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at $line23.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.fold(TraversableOnce.scala:199)
at scala.collection.AbstractIterator.fold(Iterator.scala:1157)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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)
16/04/06 15:08:05 ERROR TaskSetManager: Task 6 in stage 1.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 6 in stage 1.0 failed 1 times, most recent failure: Lost task 6.0 in stage 1.0 (TID 14, localhost): org.apache.spark.SparkException: oops
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply$mcII$sp(<console>:25)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.fold(TraversableOnce.scala:199)
at scala.collection.AbstractIterator.fold(Iterator.scala:1157)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
at org.apache.spark.rdd.RDD$$anonfun$fold$1.apply(RDD.scala:1063)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at org.apache.spark.rdd.RDD.fold(RDD.scala:1057)
at org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply$mcD$sp(DoubleRDDFunctions.scala:34)
at org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply(DoubleRDDFunctions.scala:34)
at org.apache.spark.rdd.DoubleRDDFunctions$$anonfun$sum$1.apply(DoubleRDDFunctions.scala:34)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:310)
at org.apache.spark.rdd.DoubleRDDFunctions.sum(DoubleRDDFunctions.scala:33)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:25)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:30)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:40)
at $iwC$$iwC$$iwC.<init>(<console>:42)
at $iwC$$iwC.<init>(<console>:44)
at $iwC.<init>(<console>:46)
at <init>(<console>:48)
at .<init>(<console>:52)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$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$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:674)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: oops
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply$mcII$sp(<console>:25)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:25)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
at scala.collection.TraversableOnce$class.fold(TraversableOnce.scala:199)
at scala.collection.AbstractIterator.fold(Iterator.scala:1157)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.rdd.RDD$$anonfun$fold$1$$anonfun$19.apply(RDD.scala:1061)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.SparkContext$$anonfun$36.apply(SparkContext.scala:1943)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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)
scala>
Any ideas?
edit 1:
The relevant code in Spark is in TaskResultGetter.scala:
try {
if (serializedData != null && serializedData.limit() > 0) {
reason = serializer.get().deserialize[TaskEndReason](
serializedData, Utils.getSparkClassLoader)
}
} catch {
case cnd: ClassNotFoundException =>
// Log an error but keep going here -- the task failed, so not catastrophic
// if we can't deserialize the reason.
val loader = Utils.getContextOrSparkClassLoader
logError(
"Could not deserialize TaskEndReason: ClassNotFound with classloader " + loader)
case ex: Exception => {}
}
which calls spark.util.Utils.getSparkClassLoader:
def getSparkClassLoader: ClassLoader = getClass.getClassLoader
which is using the class loader which loaded the Spark jar.

This is a known issue: SPARK-11195. You need to upgrade your Spark to 1.6.0 or 1.6.1.

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