目前我们遇到了问题，提交一个带有--master local [*]和--master yarn的火花应用会导致不同的行为。本地提交的应用程序运行正常，从纱线引线开始 - 在前5到7个阶段之后 - 到以下错误：
WARN TaskSetManager: Lost task 1.0 in stage 7.0 (TID 210, quickstart.cloudera): java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1177)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
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)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1174)
... 11 more
[Stage 7:> (0 + 1) / 2]16/07/22 07:34:53 ERROR TaskSetManager: Task 1 in stage 7.0 failed 4 times; aborting job
16/07/22 07:34:53 ERROR InsertIntoHadoopFsRelation: Aborting job.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 7.0 failed 4 times, most recent failure: Lost task 1.3 in stage 7.0 (TID 214, quickstart.cloudera): java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1177)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
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)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1174)
... 11 more
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:1914)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:150)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:325)
at dataCreator.DataSetGenerator$$anonfun$createVP$1.apply(DataSetGenerator.scala:160)
at dataCreator.DataSetGenerator$$anonfun$createVP$1.apply(DataSetGenerator.scala:144)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at dataCreator.DataSetGenerator$.createVP(DataSetGenerator.scala:144)
at dataCreator.DataSetGenerator$.generateDataSet(DataSetGenerator.scala:78)
at runDriver$.main(runDriver.scala:14)
at runDriver.main(runDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
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$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1177)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1174)
... 11 more
16/07/22 07:34:53 ERROR DefaultWriterContainer: Job job_201607220734_0000 aborted.
Exception in thread "main" org.apache.spark.SparkException: Job aborted.
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:156)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply(InsertIntoHadoopFsRelation.scala:108)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation.run(InsertIntoHadoopFsRelation.scala:108)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:57)
at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:69)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd$lzycompute(SQLContext.scala:933)
at org.apache.spark.sql.SQLContext$QueryExecution.toRdd(SQLContext.scala:933)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:197)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:325)
at dataCreator.DataSetGenerator$$anonfun$createVP$1.apply(DataSetGenerator.scala:160)
at dataCreator.DataSetGenerator$$anonfun$createVP$1.apply(DataSetGenerator.scala:144)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at dataCreator.DataSetGenerator$.createVP(DataSetGenerator.scala:144)
at dataCreator.DataSetGenerator$.generateDataSet(DataSetGenerator.scala:78)
at runDriver$.main(runDriver.scala:14)
at runDriver.main(runDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
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$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 7.0 failed 4 times, most recent failure: Lost task 1.3 in stage 7.0 (TID 214, quickstart.cloudera): java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1177)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1174)
... 11 more
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:1914)
at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1.apply$mcV$sp(InsertIntoHadoopFsRelation.scala:150)
... 34 more
Caused by: java.io.IOException: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1177)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: Failed to get broadcast_8_piece0 of broadcast_8
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1$$anonfun$2.apply(TorrentBroadcast.scala:138)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:137)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:120)
at scala.collection.immutable.List.foreach(List.scala:318)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:120)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:175)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1174)
... 11 more
我们猜这应该是代码中有趣的部分。当方法 handleTypes 未被调用时。该应用程序运行时也没有错误。
/**
* Generates VP table for each unique predicate in input RDF dataset.
* All tables have to be cached, since they are used for generation of ExtVP
* tables.
*/
private def createVP() = {
// create directory for all vp tables
Helper.removeDirInHDFS(Settings.vpDir)
Helper.createDirInHDFS(Settings.vpDir)
StatisticWriter.initNewStatisticFile("VP")
// create and cache vpTables for all predicates in input RDF dataset
for (predicate <- _uPredicates){
var vpTable = _sqlContext.sql("select sub, obj "
+ "from triples where pred='"+predicate+"'")
val cleanPredicate = Helper.getPartName(predicate)
// --> without this call no error occurs <--
vpTable = handleTypes(vpTable, predicate)
vpTable.registerTempTable(cleanPredicate)
_sqlContext.cacheTable(cleanPredicate)
_vpTableSizes(predicate) = vpTable.count()
//vpTable.saveAsParquetFile(Settings.vpDir + cleanPredicate + ".parquet")
vpTable.write.parquet(Settings.vpDir + cleanPredicate + ".parquet")
// print statistic line
StatisticWriter.incSavedTables()
StatisticWriter.addTableStatistic("<" + predicate + ">",
-1,
_vpTableSizes(predicate))
writeLoadScript(Settings.vpDir + cleanPredicate + ".parquet", cleanPredicate, "", vpTable)
}
StatisticWriter.closeStatisticFile()
}
private def handleTypes(vTable: DataFrame, predIn: String) = {
var pred = predIn
//println("'" + pred + "'")
if(pred.startsWith("<") && pred.endsWith(">")) {
pred = pred.substring(1, pred.length() - 1)
}
var newSchema = StructType( StructField("sub", StringType, false) :: StructField("obj", StringType, false) :: Nil)
var predType = ""
// type check of object
if(integerPred.contains(pred)) {
newSchema = StructType( StructField("sub", StringType, false) :: StructField("obj", IntegerType, true) :: Nil)
predType = "int"
}else if (doublePred.contains(pred)) {
newSchema = StructType( StructField("sub", StringType, false) :: StructField("obj", DoubleType, false) :: Nil)
predType = "double"
}else if (datePred.contains(pred)) {
newSchema = StructType( StructField("sub", StringType, false) :: StructField("obj", DateType, false) :: Nil)
predType = "date"
}else if (dateTimePred.contains(pred)) {
newSchema = StructType( StructField("sub", StringType, false) :: StructField("obj", TimestampType, false) :: Nil)
predType = "timestamp"
}
var newRdd = vTable.rdd
newRdd = newRdd.map( r => extractObj(r, predType))
var newDF = _sqlContext.createDataFrame(newRdd, newSchema)
newDF
}
private def extractObj(r: Row, predType: String) = {
var pattern = new Regex("(?<=\").*?(?=\")")
var obj = r.getString(1)
var result = obj
if(obj.contains("^^")) {
result = pattern.findFirstIn(obj).get
if(predType.equals("timestamp")){
result = result.replace("T", " ")
}
}
var result2 = Row(r.getString(0), result)
if(predType.equals("int")){
val ret = result.toInt
result2 = Row(r.getString(0), ret)
}else if(predType.equals("double")){
val ret = result.toDouble
result2 = Row(r.getString(0), ret)
}else if(predType.equals("date")){
val ret = getDate(result)
result2 = Row(r.getString(0), ret)
}else if(predType.equals("timestamp")){
val ret = getTimestamp(result)
result2 = Row(r.getString(0), ret)
}
result2
}
def getDate(x:Any) :java.sql.Date = {
val format = new SimpleDateFormat("yyyy-MM-dd")
if (x.toString() == "")
return null
else {
val d = format.parse(x.toString());
val t = new Date(d.getDate());
return t
}
}
def getTimestamp(x:Any) :java.sql.Timestamp = {
val format = new SimpleDateFormat("yyyy-MM-dd' 'HH:mm:ss")
if (x.toString() == "")
return null
else {
val d = format.parse(x.toString());
val t = new Timestamp(d.getTime());
return t
}
}
def writeLoadScript(path: String, tableName: String, relType: String, table: DataFrame) = {
var relationType = relType.toUpperCase
var columnList = table.schema.toSeq
var subType = columnList(0).dataType.simpleString
var objType = columnList(1).dataType.simpleString
val fw = new java.io.FileWriter(_loadScriptName, true)
try {
if(tableName == "triples") {
fw.write("DROP TABLE IF EXISTS triples;\n")
fw.write("CREATE EXTERNAL TABLE triples (sub STRING, pred STRING, obj STRING)\n")
fw.write("STORED AS PARQUET LOCATION \'${hiveconf:prepath}" + path + "\';\n\n")
}else {
fw.write("DROP TABLE IF EXISTS " + relationType + _delimiter + tableName + ";\n")
fw.write("CREATE EXTERNAL TABLE " + relationType + _delimiter + tableName + " (sub " + subType + ", obj " + objType +")\n")
fw.write("STORED AS PARQUET LOCATION \'${hiveconf:prepath}" + path + "\';\n\n")
}
}
finally fw.close()
}
def initLoadScript() = {
val fw = new java.io.FileWriter(_loadScriptName, false)
try {
fw.write("-- Hive 1.2.0 or later is needed! \n")
}
finally fw.close()
}
我们在Spark 1.6.1和Hadoop 2.7.1以及版本1.5.0-cdh5.5.2和2.6.0-cdh5.5.2的Cloudera Quickstart VM上运行。如果您有任何建议，请告诉我们！
由于
答案 0 :(得分：0)
似乎这个错误与这个开放的火花问题有关： https://issues.apache.org/jira/browse/SPARK-5594
根据问题post的建议，我们序列化了函数 extractObj ，现在代码如下：
object FunctionSerializable extends Serializable{
def extractObj(r: Row, predType: String): Row = {
var pattern = new Regex("(?<=\").*?(?=\")")
var obj = r.getString(1)
var result = obj
if(obj.contains("^^")) {
result = pattern.findFirstIn(obj).get
if(predType.equals("timestamp")){
result = result.replace("T", " ")
}
}
var result2 = Row(r.getString(0), result)
if(predType.equals("int")){
val ret = result.toInt
result2 = Row(r.getString(0), ret)
}else if(predType.equals("double")){
val ret = result.toDouble
result2 = Row(r.getString(0), ret)
}else if(predType.equals("date")){
val ret = getDate(result)
result2 = Row(r.getString(0), ret)
}else if(predType.equals("timestamp")){
val ret = getTimestamp(result)
result2 = Row(r.getString(0), ret)
}
result2
}
def getDate(x:Any) :java.sql.Date = {
val format = new SimpleDateFormat("yyyy-MM-dd")
if (x.toString() == "")
return null
else {
val d = format.parse(x.toString());
val t = new Date(d.getDate());
return t
}
}
def getTimestamp(x:Any) :java.sql.Timestamp = {
val format = new SimpleDateFormat("yyyy-MM-dd' 'HH:mm:ss")
if (x.toString() == "")
return null
else {
val d = format.parse(x.toString());
val t = new Timestamp(d.getTime());
return t
}
}
}
handleTypes 中的调用如下所示：
newRdd = newRdd.map( r => FunctionSerializable.extractObj(r, predType))
一切都很好......： - ）