Why Druid cluster crashed for indexing task? - druid

Can anyone tell me what & why cause my Druid cluster crashed during run indexing service?
2018-06-15T11:20:30,005 ERROR [forking-task-runner-1]
com.google.common.util.concurrent.ExecutionList - RuntimeException
while executing runnable
com.google.common.util.concurrent.Futures$4#5d6c7c87 with executor
com.google.common.util.concurrent.MoreExecutors$SameThreadExecutorService#13d11704
java.util.concurrent.RejectedExecutionException: Task
io.druid.indexing.worker.WorkerTaskManager$$Lambda$39/1941452734#3eb73694
rejected from
java.util.concurrent.ThreadPoolExecutor#75b7801a[Terminated, pool size
= 0, active threads = 0, queued tasks = 0, completed tasks = 25] at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2063)
~[?:1.8.0_171] at
java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:830)
~[?:1.8.0_171] at
java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1379)
~[?:1.8.0_171] at
java.util.concurrent.Executors$DelegatedExecutorService.execute(Executors.java:668)
~[?:1.8.0_171] at
io.druid.indexing.worker.WorkerTaskManager.submitNoticeToExec(WorkerTaskManager.java:179)
~[druid-indexing-service-0.12.0-iap10.jar:0.12.0-iap10] at
io.druid.indexing.worker.WorkerTaskManager.access$000(WorkerTaskManager.java:77)
~[druid-indexing-service-0.12.0-iap10.jar:0.12.0-iap10] at
io.druid.indexing.worker.WorkerTaskManager$2.onSuccess(WorkerTaskManager.java:243)
~[druid-indexing-service-0.12.0-iap10.jar:0.12.0-iap10] at
io.druid.indexing.worker.WorkerTaskManager$2.onSuccess(WorkerTaskManager.java:239)
~[druid-indexing-service-0.12.0-iap10.jar:0.12.0-iap10] at
com.google.common.util.concurrent.Futures$4.run(Futures.java:1181)
~[guava-16.0.1.jar:?] at
com.google.common.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:297)
~[guava-16.0.1.jar:?] at
com.google.common.util.concurrent.ExecutionList.executeListener(ExecutionList.java:156)
[guava-16.0.1.jar:?] at
com.google.common.util.concurrent.ExecutionList.execute(ExecutionList.java:145)
[guava-16.0.1.jar:?] at
com.google.common.util.concurrent.ListenableFutureTask.done(ListenableFutureTask.java:91)
[guava-16.0.1.jar:?] at
java.util.concurrent.FutureTask.finishCompletion(FutureTask.java:384)
[?:1.8.0_171] at
java.util.concurrent.FutureTask.set(FutureTask.java:233) [?:1.8.0_171]
at java.util.concurrent.FutureTask.run(FutureTask.java:274)
[?:1.8.0_171] at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[?:1.8.0_171] at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[?:1.8.0_171] at java.lang.Thread.run(Thread.java:748) [?:1.8.0_171]

Related

how to resolve "Py4JJavaError" error facing with pyspark

I tried to run show() method over data frame then after i started getting this error
Py4JJavaError: An error occurred while calling o152.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7.0 failed 1 times, most recent failure: Lost task 0.0 in stage 7.0 (TID 10) (host.docker.internal executor driver): org.apache.spark.SparkException: Python worker failed to connect back.
at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:189)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:109)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:124)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:164)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: java.net.SocketTimeoutException: Accept timed out
at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
at java.net.ServerSocket.implAccept(ServerSocket.java:545)
at java.net.ServerSocket.accept(ServerSocket.java:513)
at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:176)
... 29 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2860)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2791)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:952)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2228)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2249)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2268)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:506)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:459)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:48)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3868)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2863)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:3858)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:510)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3856)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3856)
at org.apache.spark.sql.Dataset.head(Dataset.scala:2863)
at org.apache.spark.sql.Dataset.take(Dataset.scala:3084)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:288)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:327)
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.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.lang.Thread.run(Thread.java:750)
Caused by: org.apache.spark.SparkException: Python worker failed to connect back.
at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:189)
at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:109)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:124)
at org.apache.spark.api.python.BasePythonRunner.compute(PythonRunner.scala:164)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:65)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
Caused by: java.net.SocketTimeoutException: Accept timed out
at java.net.DualStackPlainSocketImpl.waitForNewConnection(Native Method)
at java.net.DualStackPlainSocketImpl.socketAccept(DualStackPlainSocketImpl.java:131)
at java.net.AbstractPlainSocketImpl.accept(AbstractPlainSocketImpl.java:535)
at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:189)
at java.net.ServerSocket.implAccept(ServerSocket.java:545)
at java.net.ServerSocket.accept(ServerSocket.java:513)
at org.apache.spark.api.python.PythonWorkerFactory.createSimpleWorker(PythonWorkerFactory.scala:176)
... 29 more
I have installed a updated version of pyspark then after I started getting error Py4JJavaError
can anyone help me with this error
normally what is root cause of this error
i tried to resolve it with few available references but didn't succeeded

Insert large amount of data in sql using pyspark sql connector

I have a Pyspark job which reads about 1M record from upstream data source and and tries to add it to SQL. I am using Pyspark 3.1 with Pyspark sql connector and when writing anything over 2K records into SQL it returns me the error that connection closed (: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8.0 failed 4 times, most recent failure: Lost task 0.3 in stage 8.0 (TID 11) (vm-1286783 executor 1): com.microsoft.sqlserver.jdbc.SQLServerException: The connection is closed)
I am not repartitioning the data from upstream when writing to SQL. Also this job will be run on Azure Synapse in Spark Pool.
These are the options I`m using for the SQL connector:
"schemaCheckEnabled": "false",
"url": "test-url",
"hostNameInCertificate": "*.database.windows.net",
"database": "testdb",
"dbtable": "testtable",
"batchsize": "5000",
"tableLock": "true",
"queryTimeout": "0",
"reliabilityLevel": "BEST_EFFORT"
This is the pyspark config:
"driver_cores": 4,
"driver_memory": "20g",
"executor_memory": "32g",
"num_executors": 24,
"executor_cores": 5,
Any help would be appreciated.
This is the complete stack trace:
2022-09-08 05:53:22,146 - __main__ - WARNING - An error occurred while calling o1179.save.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 9.0 failed 4 times, most recent failure: Lost task 1.3 in stage 9.0 (TID 23) (vm-24f65417 executor 2): com.microsoft.sqlserver.jdbc.SQLServerException: The connection is closed.
at com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDriverError(SQLServerException.java:234)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.checkClosed(SQLServerConnection.java:1202)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.rollback(SQLServerConnection.java:3442)
at com.microsoft.sqlserver.jdbc.spark.BulkCopyUtils$.savePartition(BulkCopyUtils.scala:68)
at com.microsoft.sqlserver.jdbc.spark.SingleInstanceWriteStrategies$.$anonfun$write$2(BestEffortSingleInstanceStrategy.scala:43)
at com.microsoft.sqlserver.jdbc.spark.SingleInstanceWriteStrategies$.$anonfun$write$2$adapted(BestEffortSingleInstanceStrategy.scala:42)
at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1027)
at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1027)
at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2341)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:498)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2313)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2262)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2261)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2261)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1132)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1132)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1132)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2500)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2442)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2431)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:908)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2301)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2322)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2341)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2366)
at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$1(RDD.scala:1027)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:415)
at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:1025)
at com.microsoft.sqlserver.jdbc.spark.SingleInstanceWriteStrategies$.write(BestEffortSingleInstanceStrategy.scala:42)
at com.microsoft.sqlserver.jdbc.spark.SingleInstanceConnector$.writeInParallel(SingleInstanceConnector.scala:35)
at com.microsoft.sqlserver.jdbc.spark.Connector.write(Connector.scala:80)
at com.microsoft.sqlserver.jdbc.spark.DefaultSource.createRelation(DefaultSource.scala:66)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:218)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:256)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:253)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:214)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:148)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:147)
at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:1013)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:107)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:181)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:94)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:1013)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:462)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:434)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:303)
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: com.microsoft.sqlserver.jdbc.SQLServerException: The connection is closed.
at com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDriverError(SQLServerException.java:234)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.checkClosed(SQLServerConnection.java:1202)
at com.microsoft.sqlserver.jdbc.SQLServerConnection.rollback(SQLServerConnection.java:3442)
at com.microsoft.sqlserver.jdbc.spark.BulkCopyUtils$.savePartition(BulkCopyUtils.scala:68)
at com.microsoft.sqlserver.jdbc.spark.SingleInstanceWriteStrategies$.$anonfun$write$2(BestEffortSingleInstanceStrategy.scala:43)
at com.microsoft.sqlserver.jdbc.spark.SingleInstanceWriteStrategies$.$anonfun$write$2$adapted(BestEffortSingleInstanceStrategy.scala:42)
at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1027)
at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1027)
at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2341)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:131)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:498)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)

Use Databricks job to output Hadoop HFile

I to use a Databricks job to use the saveAsNewAPIHadoopFile interface to write an HFile.
Inside a local spark test instance it works great, but inside a Databricks job it fails with:
NoClassDefFoundError: Could not initialize class org.apache.hadoop.hbase.io.hfile.HFile.
In details
My current dependencies look like that:
My test notebook has the following steps:
1. Some imports
import java.sql.Timestamp
import java.nio.ByteBuffer
import org.apache.hadoop.hbase.client.{Admin, ConnectionFactory, HTable}
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.{HBaseConfiguration, KeyValue, TableName}
import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2
import java.util.UUID
import org.apache.hadoop.mapreduce.Job
2. Setup hbase config (copied from HBase cluster)
val hbaseConfig = HBaseConfiguration.create()
hbaseConfig.set("dfs.domain.socket.path", "/var/lib/hadoop-hdfs/dn_socket")
hbaseConfig.set("dfs.support.append", "false")
[...]
hbaseConfig.set("zookeeper.session.timeout", "120000")
hbaseConfig.set("zookeeper.znode.parent", "/hbase-unsecure")
hbaseConfig.set("hbase.mapreduce.hfileoutputformat.table.name", "DeviceData")
3. Save DataSet
mappedData.saveAsNewAPIHadoopFile(
stagingDir,
classOf[ImmutableBytesWritable],
classOf[KeyValue],
classOf[HFileOutputFormat2],
hbaseConfig
)
The error
Caused by: Job aborted due to stage failure.
Caused by: Task failed while writing rows
Caused by: NoClassDefFoundError: Could not initialize class org.apache.hadoop.hbase.io.hfile.HFile
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:109)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$saveAsNewAPIHadoopDataset$1(PairRDDFunctions.scala:1077)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:125)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:419)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1075)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$saveAsNewAPIHadoopFile$2(PairRDDFunctions.scala:994)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:125)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:419)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:985)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:6)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:90)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:92)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:94)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:96)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:98)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw.<init>(command-4454301442308183:100)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw.<init>(command-4454301442308183:102)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw.<init>(command-4454301442308183:104)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read.<init>(command-4454301442308183:106)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$.<init>(command-4454301442308183:110)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$.<clinit>(command-4454301442308183)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$eval$.$print$lzycompute(<notebook>:7)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$eval$.$print(<notebook>:6)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$eval.$print(<notebook>)
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 scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:745)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1021)
at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:574)
at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:41)
at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:37)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:600)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:570)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:219)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.$anonfun$repl$1(ScalaDriverLocal.scala:235)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:903)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:856)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:235)
at com.databricks.backend.daemon.driver.DriverLocal.$anonfun$execute$13(DriverLocal.scala:544)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:240)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:235)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:232)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:53)
at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:279)
at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:271)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:53)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:521)
at com.databricks.backend.daemon.driver.DriverWrapper.$anonfun$tryExecutingCommand$1(DriverWrapper.scala:689)
at scala.util.Try$.apply(Try.scala:213)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:681)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:522)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:634)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:427)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:370)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:221)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 3.0 failed 4 times, most recent failure: Lost task 1.3 in stage 3.0 (TID 38) (10.42.240.4 executor driver): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:166)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$write$1(SparkHadoopWriter.scala:92)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$3(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$1(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:55)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:150)
at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:119)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.Task.run(Task.scala:91)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$13(Executor.scala:788)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1643)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:791)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:647)
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.lang.NoClassDefFoundError: Could not initialize class org.apache.hadoop.hbase.io.hfile.HFile
at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2$1.getNewWriter(HFileOutputFormat2.java:419)
at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2$1.write(HFileOutputFormat2.java:321)
at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2$1.write(HFileOutputFormat2.java:239)
at org.apache.spark.internal.io.HadoopMapReduceWriteConfigUtil.write(SparkHadoopWriter.scala:371)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$executeTask$1(SparkHadoopWriter.scala:141)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1677)
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:138)
... 19 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2765)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2712)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2706)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2706)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1255)
at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1255)
at scala.Option.foreach(Option.scala:407)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1255)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2973)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2914)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2902)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:1028)
at org.apache.spark.SparkContext.runJobInternal(SparkContext.scala:2446)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2429)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2467)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2499)
at org.apache.spark.internal.io.SparkHadoopWriter$.write(SparkHadoopWriter.scala:87)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$saveAsNewAPIHadoopDataset$1(PairRDDFunctions.scala:1077)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:125)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:419)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopDataset(PairRDDFunctions.scala:1075)
at org.apache.spark.rdd.PairRDDFunctions.$anonfun$saveAsNewAPIHadoopFile$2(PairRDDFunctions.scala:994)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:165)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:125)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:419)
at org.apache.spark.rdd.PairRDDFunctions.saveAsNewAPIHadoopFile(PairRDDFunctions.scala:985)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:6)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:90)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:92)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:94)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:96)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw$$iw.<init>(command-4454301442308183:98)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw$$iw.<init>(command-4454301442308183:100)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw$$iw.<init>(command-4454301442308183:102)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$$iw.<init>(command-4454301442308183:104)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read.<init>(command-4454301442308183:106)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$.<init>(command-4454301442308183:110)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$read$.<clinit>(command-4454301442308183)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$eval$.$print$lzycompute(<notebook>:7)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$eval$.$print(<notebook>:6)
at $line3506744ecc8e4b3a8d207e04b18fbe0595.$eval.$print(<notebook>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:745)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1021)
at scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:574)
at scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:41)
at scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:37)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:600)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:570)
at com.databricks.backend.daemon.driver.DriverILoop.execute(DriverILoop.scala:219)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.$anonfun$repl$1(ScalaDriverLocal.scala:235)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExitInternal$.trapExit(DriverLocal.scala:903)
at com.databricks.backend.daemon.driver.DriverLocal$TrapExit$.apply(DriverLocal.scala:856)
at com.databricks.backend.daemon.driver.ScalaDriverLocal.repl(ScalaDriverLocal.scala:235)
at com.databricks.backend.daemon.driver.DriverLocal.$anonfun$execute$13(DriverLocal.scala:544)
at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:240)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:235)
at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:232)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionContext(DriverLocal.scala:53)
at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:279)
at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:271)
at com.databricks.backend.daemon.driver.DriverLocal.withAttributionTags(DriverLocal.scala:53)
at com.databricks.backend.daemon.driver.DriverLocal.execute(DriverLocal.scala:521)
at com.databricks.backend.daemon.driver.DriverWrapper.$anonfun$tryExecutingCommand$1(DriverWrapper.scala:689)
at scala.util.Try$.apply(Try.scala:213)
at com.databricks.backend.daemon.driver.DriverWrapper.tryExecutingCommand(DriverWrapper.scala:681)
at com.databricks.backend.daemon.driver.DriverWrapper.getCommandOutputAndError(DriverWrapper.scala:522)
at com.databricks.backend.daemon.driver.DriverWrapper.executeCommand(DriverWrapper.scala:634)
at com.databricks.backend.daemon.driver.DriverWrapper.runInnerLoop(DriverWrapper.scala:427)
at com.databricks.backend.daemon.driver.DriverWrapper.runInner(DriverWrapper.scala:370)
at com.databricks.backend.daemon.driver.DriverWrapper.run(DriverWrapper.scala:221)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:166)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$write$1(SparkHadoopWriter.scala:92)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$3(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$1(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:55)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:150)
at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:119)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.Task.run(Task.scala:91)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$13(Executor.scala:788)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1643)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:791)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:647)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.apache.hadoop.hbase.io.hfile.HFile
at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2$1.getNewWriter(HFileOutputFormat2.java:419)
at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2$1.write(HFileOutputFormat2.java:321)
at org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2$1.write(HFileOutputFormat2.java:239)
at org.apache.spark.internal.io.HadoopMapReduceWriteConfigUtil.write(SparkHadoopWriter.scala:371)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$executeTask$1(SparkHadoopWriter.scala:141)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1677)
at org.apache.spark.internal.io.SparkHadoopWriter$.executeTask(SparkHadoopWriter.scala:138)
at org.apache.spark.internal.io.SparkHadoopWriter$.$anonfun$write$1(SparkHadoopWriter.scala:92)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$3(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.$anonfun$runTask$1(ResultTask.scala:75)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:55)
at org.apache.spark.scheduler.Task.doRunTask(Task.scala:150)
at org.apache.spark.scheduler.Task.$anonfun$run$1(Task.scala:119)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.scheduler.Task.run(Task.scala:91)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$13(Executor.scala:788)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1643)
at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$4(Executor.scala:791)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at com.databricks.spark.util.ExecutorFrameProfiler$.record(ExecutorFrameProfiler.scala:110)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:647)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
The question
I tried everything to understand whats the difference between the Databricks job and my local one.
I'm absolut out of ideas.
Update 1 - 2021-08-09
We have no also reduced the installed libs to the minimum needed, to use the default installed Hadoop-Common lib and avoid conflicts.
Still getting this neasty error even on really basic static operations.
Update 2
Based on the compatibility matrix of HBase, it would be good to know with Hadoop version DataBricks cluster is using by default and how to replace them with a compatible one.

The basic problem were some missing dependencies.
The point that I was not able to detect this was, that after cluster restart the concrete error was only showed one time. After this point, any operation on the running cluster only showing the misleading error NoClassDefFoundError. I think this is because at cluster start, HBase libraries are doing some initial stuff. If this fails, it will not produce any useful error message until you restart the cluster.
The concrete error here were two missing libraries org.apache.hbase:hbase-metrics and ‎org.apache.hbase:hbase-metrics-api.

Sparkling water local mode cluster error

I'm trying to extend the hamorspam example(https://github.com/h2oai/sparkling-water/blob/master/examples/scripts/hamOrSpam.script.scala
) to make parallel predictions for large dataset using spark's parallel computation power(during the inference stage, not the training phase).
Below is the code I have written for the same. Moreover, it perfectly works fine in single node localmode (for export MASTER="local[*] ``), but fails when I run with export MASTER="local-cluster[2,2,1024] when 2 worker nodes are spawn.(to check the prediction parallelisation)
val data_test = load("smsData.txt") // Should be a large(in GBs) test dataset - using same training data for testing purposes just to test the workflow
val message_test = data.map( r => r(1))
message.take(1000).map(x => isSpam(x, dlModel, hashingTF, idfModel, h2oContext))
So the code fails when executing scala> val table:H2OFrame = resultRDD (
https://github.com/h2oai/sparkling-water/blob/master/examples/scripts/hamOrSpam.script.scala#L110)
I have attached the error from the console below:
17/06/26 20:25:49 WARN TaskSetManager: Lost task 0.0 in stage 6.0 (TID 43, 144.27.27.98, executor 1): java.lang.NoClassDefFoundError: Could not ini
tialize class $line32.$read$
at $line41.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$1.apply(<console>:57)
at $line41.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$anonfun$1.apply(<console>:57)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$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 scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1$$anonfun$15.apply(RDD.scala:1010)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1$$anonfun$15.apply(RDD.scala:1009)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)
17/06/26 20:25:49 ERROR TaskSetManager: Task 0 in stage 6.0 failed 4 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 6.0 failed 4 times, most recent failure: Lost task 0.3 in stage
6.0 (TID 49, 144.27.27.98, executor 0): java.lang.NoClassDefFoundError: Could not initialize class
at $anonfun$1.apply(<console>:57)
at $anonfun$1.apply(<console>:57)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1$$anonfun$15.apply(RDD.scala:1010)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1$$anonfun$15.apply(RDD.scala:1009)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$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:1981)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:1025)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.reduce(RDD.scala:1007)
at org.apache.spark.h2o.utils.H2OSchemaUtils$.collectMaxArrays(H2OSchemaUtils.scala:229)
at org.apache.spark.h2o.utils.H2OSchemaUtils$.expandedSchema(H2OSchemaUtils.scala:107)
at org.apache.spark.h2o.converters.SparkDataFrameConverter$.toH2OFrame(SparkDataFrameConverter.scala:59)
at org.apache.spark.h2o.H2OContext.asH2OFrame(H2OContext.scala:167)
at org.apache.spark.h2o.H2OContextImplicits.asH2OFrameFromDataFrame(H2OContextImplicits.scala:54)
... 58 elided
Caused by: java.lang.NoClassDefFoundError: Could not initialize class
at $anonfun$1.apply(<console>:57)
at $anonfun$1.apply(<console>:57)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:377)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1$$anonfun$15.apply(RDD.scala:1010)
at org.apache.spark.rdd.RDD$$anonfun$reduce$1$$anonfun$15.apply(RDD.scala:1009)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1980)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:99)
at org.apache.spark.executor.Executor$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:748)
Any ideas?. Thanks in advance.

Spark (using Scala) throws SocketException: Connection reset and SocketTimeoutException: Read timed out

I am trying to load a (very big) serialized RDD of objects into the memory of a cluster of ec2 nodes, and then do some extraction on those objects and store the resulting RDD on disk (as object files). Unluckily I get SocketException: Connection reset once and SocketTimeoutException: Read timed out a few times.
Here is the relevant part of my code:
val pairsLocation = args(0)
val pairsRDD = sc.objectFile[Pair](pairLocation)
// taking individual objects out of "Pair" objects (containing two of those simple objects)
val extracted = pairsRDD.filter(myFunc(_._1)).
flatMap(x => List(x._1, x._2)).distinct
val savePath = "s3 URI"
extracted.saveAsObjectFile(savePath)
Here are the details of the errors (warnings) I get:
15/03/12 18:40:27 WARN scheduler.TaskSetManager: Lost task 574.0 in stage 0.0 (TID 574, ip-10-45-14-27.us-west-2.compute.internal):
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:196)
at java.net.SocketInputStream.read(SocketInputStream.java:122)
at sun.security.ssl.InputRecord.readFully(InputRecord.java:442)
at sun.security.ssl.InputRecord.readV3Record(InputRecord.java:554)
at sun.security.ssl.InputRecord.read(InputRecord.java:509)
at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:934)
at sun.security.ssl.SSLSocketImpl.readDataRecord(SSLSocketImpl.java:891)
at sun.security.ssl.AppInputStream.read(AppInputStream.java:102)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:273)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at org.apache.commons.httpclient.ContentLengthInputStream.read(ContentLengthInputStream.java:170)
at java.io.FilterInputStream.read(FilterInputStream.java:133)
at org.apache.commons.httpclient.AutoCloseInputStream.read(AutoCloseInputStream.java:108)
at org.jets3t.service.io.InterruptableInputStream.read(InterruptableInputStream.java:76)
at org.jets3t.service.impl.rest.httpclient.HttpMethodReleaseInputStream.read(HttpMethodReleaseInputStream.java:136)
at org.apache.hadoop.fs.s3native.NativeS3FileSystem$NativeS3FsInputStream.read(NativeS3FileSystem.java:98)
at java.io.BufferedInputStream.fill(BufferedInputStream.java:235)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:275)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at java.io.DataInputStream.readFully(DataInputStream.java:195)
at org.apache.hadoop.io.DataOutputBuffer$Buffer.write(DataOutputBuffer.java:63)
at org.apache.hadoop.io.DataOutputBuffer.write(DataOutputBuffer.java:101)
at org.apache.hadoop.io.SequenceFile$Reader.next(SequenceFile.java:1988)
at org.apache.hadoop.io.SequenceFile$Reader.next(SequenceFile.java:2120)
at org.apache.hadoop.mapred.SequenceFileRecordReader.next(SequenceFileRecordReader.java:76)
at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:244)
at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:210)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:202)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:58)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
15/03/12 18:42:16 WARN scheduler.TaskSetManager: Lost task 380.0 in stage 0.0 (TID 380, ip-10-47-3-111.us-west-2.compute.internal):
java.net.SocketTimeoutException: Read timed out
at java.net.SocketInputStream.socketRead0(Native Method)
at java.net.SocketInputStream.read(SocketInputStream.java:152)
at java.net.SocketInputStream.read(SocketInputStream.java:122)
at sun.security.ssl.InputRecord.readFully(InputRecord.java:442)
at sun.security.ssl.InputRecord.readV3Record(InputRecord.java:554)
at sun.security.ssl.InputRecord.read(InputRecord.java:509)
at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:934)
at sun.security.ssl.SSLSocketImpl.readDataRecord(SSLSocketImpl.java:891)
at sun.security.ssl.AppInputStream.read(AppInputStream.java:102)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:273)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at org.apache.commons.httpclient.ContentLengthInputStream.read(ContentLengthInputStream.java:170)
at java.io.FilterInputStream.read(FilterInputStream.java:133)
at org.apache.commons.httpclient.AutoCloseInputStream.read(AutoCloseInputStream.java:108)
at org.jets3t.service.io.InterruptableInputStream.read(InterruptableInputStream.java:76)
at org.jets3t.service.impl.rest.httpclient.HttpMethodReleaseInputStream.read(HttpMethodReleaseInputStream.java:136)
at org.apache.hadoop.fs.s3native.NativeS3FileSystem$NativeS3FsInputStream.read(NativeS3FileSystem.java:98)
at java.io.BufferedInputStream.fill(BufferedInputStream.java:235)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:275)
at java.io.BufferedInputStream.read(BufferedInputStream.java:334)
at java.io.DataInputStream.readFully(DataInputStream.java:195)
at org.apache.hadoop.io.DataOutputBuffer$Buffer.write(DataOutputBuffer.java:63)
at org.apache.hadoop.io.DataOutputBuffer.write(DataOutputBuffer.java:101)
at org.apache.hadoop.io.SequenceFile$Reader.next(SequenceFile.java:1988)
at org.apache.hadoop.io.SequenceFile$Reader.next(SequenceFile.java:2120)
at org.apache.hadoop.mapred.SequenceFileRecordReader.next(SequenceFileRecordReader.java:76)
at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:244)
at org.apache.spark.rdd.HadoopRDD$$anon$1.getNext(HadoopRDD.scala:210)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:388)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:202)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:58)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
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)