when I use Spark: rdd.saveAsText(path, LzopCodec.class),get Exception like this, Is that casue java buffer size limit?
maybe there is one row string size is over 2G ?
Caused by: java.lang.IllegalArgumentException
at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
at java.nio.charset.CharsetEncoder.encode(CharsetEncoder.java:810)
at org.apache.hadoop.io.Text.encode(Text.java:451)
at org.apache.hadoop.io.Text.set(Text.java:198)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$2$$anonfun$31$$anonfun$apply$54.apply(RDD.scala:1505)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$2$$anonfun$31$$anonfun$apply$54.apply(RDD.scala:1504)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:125)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1413)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)
org.apache.spark.SparkException: Job aborted due to stage failure: Task 3224 in stage 22.0 failed 4 times, most recent failure: Lost task 3224.3 in stage 22.0 (TID 10280, hadoop12.fj8.yiducloud.cn, executor 14): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException
at java.nio.ByteBuffer.allocate(ByteBuffer.java:334)
at java.nio.charset.CharsetEncoder.encode(CharsetEncoder.java:810)
at org.apache.hadoop.io.Text.encode(Text.java:451)
at org.apache.hadoop.io.Text.set(Text.java:198)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$2$$anonfun$31$$anonfun$apply$54.apply(RDD.scala:1505)
at org.apache.spark.rdd.RDD$$anonfun$saveAsTextFile$2$$anonfun$31$$anonfun$apply$54.apply(RDD.scala:1504)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:125)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1413)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)
Related
I have partitioned reader and writer. There are some queries getting transaction timedout while getting resultset back from cursor. But I couldn't able to get catch the exception. I need to catch the exception and update the status back to track those reports.
Below is the exception from logs:
com.ibm.ws.batch.JobLogger CWWKY0024W: The current chunk was rolled back to the previous checkpoint for step genGAHJSONReport in job instance 553 and job execution 553. Step metrics = [(READ_SKIP_COUNT,0), (PROCESS_SKIP_COUNT,0), (WRITE_SKIP_COUNT,0), (FILTER_COUNT,0), (COMMIT_COUNT,1), (READ_COUNT,5000), (WRITE_COUNT,5000), (ROLLBACK_COUNT,0)]
com.ibm.ws.batch.JobLogger CWWKY0030I: An exception occurred while running the step genGAHJSONReport.
com.ibm.jbatch.container.exception.BatchContainerRuntimeException: Failure in Read-Process-Write Loop
at com.ibm.jbatch.container.controller.impl.ChunkStepControllerImpl.invokeChunk(ChunkStepControllerImpl.java:704)
at com.ibm.jbatch.container.controller.impl.ChunkStepControllerImpl.invokeCoreStep(ChunkStepControllerImpl.java:795)
at com.ibm.jbatch.container.controller.impl.BaseStepControllerImpl.execute(BaseStepControllerImpl.java:295)
at com.ibm.jbatch.container.controller.impl.ExecutionTransitioner.doExecutionLoop(ExecutionTransitioner.java:118)
at com.ibm.jbatch.container.controller.impl.WorkUnitThreadControllerImpl.executeCoreTransitionLoop(WorkUnitThreadControllerImpl.java:96)
at com.ibm.jbatch.container.controller.impl.WorkUnitThreadControllerImpl.executeWorkUnit(WorkUnitThreadControllerImpl.java:178)
at com.ibm.jbatch.container.controller.impl.WorkUnitThreadControllerImpl$AbstractControllerHelper.runExecutionOnThread(WorkUnitThreadControllerImpl.java:503)
at com.ibm.jbatch.container.controller.impl.WorkUnitThreadControllerImpl.runExecutionOnThread(WorkUnitThreadControllerImpl.java:92)
at com.ibm.jbatch.container.util.BatchWorkUnit.run(BatchWorkUnit.java:113)
at com.ibm.ws.context.service.serializable.ContextualRunnable.run(ContextualRunnable.java:79)
at com.ibm.ws.threading.internal.ExecutorServiceImpl$RunnableWrapper.run(ExecutorServiceImpl.java:232)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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: com.ibm.jbatch.container.exception.TransactionManagementException: javax.transaction.RollbackException
at com.ibm.jbatch.container.transaction.impl.JTAUserTransactionAdapter.commit(JTAUserTransactionAdapter.java:108)
at com.ibm.jbatch.container.controller.impl.ChunkStepControllerImpl.invokeChunk(ChunkStepControllerImpl.java:656)
... 15 more
Caused by: javax.transaction.RollbackException
at com.ibm.tx.jta.impl.TransactionImpl.stage3CommitProcessing(TransactionImpl.java:978)
at com.ibm.tx.jta.impl.TransactionImpl.processCommit(TransactionImpl.java:778)
at com.ibm.tx.jta.impl.TransactionImpl.commit(TransactionImpl.java:711)
at com.ibm.tx.jta.impl.TranManagerImpl.commit(TranManagerImpl.java:165)
at com.ibm.tx.jta.impl.TranManagerSet.commit(TranManagerSet.java:113)
at com.ibm.tx.jta.impl.UserTransactionImpl.commit(UserTransactionImpl.java:162)
at com.ibm.tx.jta.embeddable.impl.EmbeddableUserTransactionImpl.commit(EmbeddableUserTransactionImpl.java:101)
at com.ibm.ws.transaction.services.UserTransactionService.commit(UserTransactionService.java:72)
at com.ibm.jbatch.container.transaction.impl.JTAUserTransactionAdapter.commit(JTAUserTransactionAdapter.java:101)
I Want to push data to kafka from spark job.
I am using spark kafka streaming as following..
pivotDataDataset.selectExpr("CAST(columnName as STRING) value")
.write()
.format("kafka")
.option("kafka.bootstrap.servers","kafkaServerIp:9092")
.option("topic", "topicname")
.save();
It is giving me following exception.
Driver stacktrace:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 4, prod-fdphadoop-krios-dn-1015, executor 1): org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms.
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1517)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1505)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1504)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1504)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1732)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1687)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1676)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2029)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2050)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2069)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2094)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:926)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:924)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:924)
at org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1.apply$mcV$sp(KafkaWriter.scala:89)
at org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1.apply(KafkaWriter.scala:89)
at org.apache.spark.sql.kafka010.KafkaWriter$$anonfun$write$1.apply(KafkaWriter.scala:89)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecutio Caused by: org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms.
18/11/26 21:38:47 INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 15, (reason: User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 4, prod-fdphadoop-krios-dn-1015, executor 1): org.apache.kafka.common.errors.TimeoutException: Failed to update metadata after 60000 ms.
I am trying to debug this.. but not able to do the same.
I want to perform some action if my code gets an org.apache.kafka.clients.consumer.OffsetOutOfRangeException. I tried with this check
if(e.getCause().getCause() instanceof OffsetOutOfRangeException)
but am still getting a SparkException, not an OffsetOutOfRangeException.
ERROR Driver:86 - Error in executing stream
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3.0 (TID 11, localhost, executor 0): org.apache.kafka.clients.consumer.OffsetOutOfRangeException: Offsets out of range with no configured reset policy for partitions: {dns_data-0=23245772}
at org.apache.kafka.clients.consumer.internals.Fetcher.parseFetchedData(Fetcher.java:588)
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:354)
at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1000)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:938)
at org.apache.spark.streaming.kafka010.CachedKafkaConsumer.poll(CachedKafkaConsumer.scala:136)
at org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:68)
at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:271)
at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:231)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$10.next(Iterator.scala:393)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)`
Caused by: org.apache.kafka.clients.consumer.OffsetOutOfRangeException: Offsets out of range with no configured reset policy for partitions: {dns_data-0=23245772}
at org.apache.kafka.clients.consumer.internals.Fetcher.parseFetchedData(Fetcher.java:588)
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:354)
at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1000)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:938)
at org.apache.spark.streaming.kafka010.CachedKafkaConsumer.poll(CachedKafkaConsumer.scala:136)
at org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:68)
at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:271)
at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:231)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
try the below condition:
e.getCause().getClass().equals(OffsetOutOfRangeException.class)
I am trying to evaluate hive LLAP on a Hortonworks HDP 2.6 cluster.
Unfortunately, I get a java.lang.RuntimeException: ORC split generation failed when trying to execute queries:
ERROR : Status: Failed
ERROR : Vertex failed, vertexName=Map 1, vertexId=vertex_1504166274656_0006_3_00, diagnostics=[Vertex vertex_1504166274656_0006_3_00 [Map 1] killed/failed due to:ROOT_INPUT_INIT_FAILURE, Vertex Input: gprs_records initializer failed, vertex=vertex_1504166274656_0006_3_00 [Map 1], java.lang.RuntimeException: ORC split generation failed with exception: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1615)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1701)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.addSplitsForGroup(HiveInputFormat.java:446)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.getSplits(HiveInputFormat.java:569)
at org.apache.hadoop.hive.ql.exec.tez.HiveSplitGenerator.initialize(HiveSplitGenerator.java:196)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable$1.run(RootInputInitializerManager.java:278)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable$1.run(RootInputInitializerManager.java:269)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable.call(RootInputInitializerManager.java:269)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable.call(RootInputInitializerManager.java:253)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
Caused by: java.util.concurrent.ExecutionException: java.lang.ArrayIndexOutOfBoundsException: 5
at java.util.concurrent.FutureTask.report(FutureTask.java:122)
at java.util.concurrent.FutureTask.get(FutureTask.java:192)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1609)
... 15 more
Caused by: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.orc.OrcFile$WriterVersion.from(OrcFile.java:145)
at org.apache.orc.impl.OrcTail.getWriterVersion(OrcTail.java:73)
at org.apache.orc.impl.ReaderImpl.<init>(ReaderImpl.java:383)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.<init>(ReaderImpl.java:63)
at org.apache.hadoop.hive.ql.io.orc.OrcFile.createReader(OrcFile.java:89)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.populateAndCacheStripeDetails(OrcInputFormat.java:1419)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.callInternal(OrcInputFormat.java:1305)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.access$2600(OrcInputFormat.java:1104)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1285)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1282)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1282)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1104)
... 4 more
]
ERROR : Vertex killed, vertexName=Reducer 2, vertexId=vertex_1504166274656_0006_3_01, diagnostics=[Vertex received Kill in INITED state., Vertex vertex_1504166274656_0006_3_01 [Reducer 2] killed/failed due to:OTHER_VERTEX_FAILURE]
ERROR : DAG did not succeed due to VERTEX_FAILURE. failedVertices:1 killedVertices:1
INFO : org.apache.tez.common.counters.DAGCounter:
INFO : AM_CPU_MILLISECONDS: 840
INFO : AM_GC_TIME_MILLIS: 23
ERROR : FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.tez.TezTask. Vertex failed, vertexName=Map 1, vertexId=vertex_1504166274656_0006_3_00, diagnostics=[Vertex vertex_1504166274656_0006_3_00 [Map 1] killed/failed due to:ROOT_INPUT_INIT_FAILURE, Vertex Input: gprs_records initializer failed, vertex=vertex_1504166274656_0006_3_00 [Map 1], java.lang.RuntimeException: ORC split generation failed with exception: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1615)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1701)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.addSplitsForGroup(HiveInputFormat.java:446)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.getSplits(HiveInputFormat.java:569)
at org.apache.hadoop.hive.ql.exec.tez.HiveSplitGenerator.initialize(HiveSplitGenerator.java:196)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable$1.run(RootInputInitializerManager.java:278)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable$1.run(RootInputInitializerManager.java:269)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable.call(RootInputInitializerManager.java:269)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable.call(RootInputInitializerManager.java:253)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
Caused by: java.util.concurrent.ExecutionException: java.lang.ArrayIndexOutOfBoundsException: 5
at java.util.concurrent.FutureTask.report(FutureTask.java:122)
at java.util.concurrent.FutureTask.get(FutureTask.java:192)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1609)
... 15 more
Caused by: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.orc.OrcFile$WriterVersion.from(OrcFile.java:145)
at org.apache.orc.impl.OrcTail.getWriterVersion(OrcTail.java:73)
at org.apache.orc.impl.ReaderImpl.<init>(ReaderImpl.java:383)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.<init>(ReaderImpl.java:63)
at org.apache.hadoop.hive.ql.io.orc.OrcFile.createReader(OrcFile.java:89)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.populateAndCacheStripeDetails(OrcInputFormat.java:1419)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.callInternal(OrcInputFormat.java:1305)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.access$2600(OrcInputFormat.java:1104)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1285)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1282)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1282)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1104)
... 4 more
]Vertex killed, vertexName=Reducer 2, vertexId=vertex_1504166274656_0006_3_01, diagnostics=[Vertex received Kill in INITED state., Vertex vertex_1504166274656_0006_3_01 [Reducer 2] killed/failed due to:OTHER_VERTEX_FAILURE]DAG did not succeed due to VERTEX_FAILURE. failedVertices:1 killedVertices:1
INFO : Resetting the caller context to HIVE_SSN_ID:2415846c-fb92-480f-b869-240a0b0f30ed
INFO : Completed executing command(queryId=hive_20170831085623_51baf1df-5823-459e-80cf-76fa1f81789f); Time taken: 0.342 seconds
Error: Error while processing statement: FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.tez.TezTask. Vertex failed, vertexName=Map 1, vertexId=vertex_1504166274656_0006_3_00, diagnostics=[Vertex vertex_1504166274656_0006_3_00 [Map 1] killed/failed due to:ROOT_INPUT_INIT_FAILURE, Vertex Input: gprs_records initializer failed, vertex=vertex_1504166274656_0006_3_00 [Map 1], java.lang.RuntimeException: ORC split generation failed with exception: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1615)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1701)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.addSplitsForGroup(HiveInputFormat.java:446)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.getSplits(HiveInputFormat.java:569)
at org.apache.hadoop.hive.ql.exec.tez.HiveSplitGenerator.initialize(HiveSplitGenerator.java:196)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable$1.run(RootInputInitializerManager.java:278)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable$1.run(RootInputInitializerManager.java:269)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable.call(RootInputInitializerManager.java:269)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$InputInitializerCallable.call(RootInputInitializerManager.java:253)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
Caused by: java.util.concurrent.ExecutionException: java.lang.ArrayIndexOutOfBoundsException: 5
at java.util.concurrent.FutureTask.report(FutureTask.java:122)
at java.util.concurrent.FutureTask.get(FutureTask.java:192)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1609)
... 15 more
Caused by: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.orc.OrcFile$WriterVersion.from(OrcFile.java:145)
at org.apache.orc.impl.OrcTail.getWriterVersion(OrcTail.java:73)
at org.apache.orc.impl.ReaderImpl.<init>(ReaderImpl.java:383)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.<init>(ReaderImpl.java:63)
at org.apache.hadoop.hive.ql.io.orc.OrcFile.createReader(OrcFile.java:89)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.populateAndCacheStripeDetails(OrcInputFormat.java:1419)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.callInternal(OrcInputFormat.java:1305)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.access$2600(OrcInputFormat.java:1104)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1285)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator$1.run(OrcInputFormat.java:1282)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1866)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1282)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:1104)
... 4 more
]Vertex killed, vertexName=Reducer 2, vertexId=vertex_1504166274656_0006_3_01, diagnostics=[Vertex received Kill in INITED state., Vertex vertex_1504166274656_0006_3_01 [Reducer 2] killed/failed due to:OTHER_VERTEX_FAILURE]DAG did not succeed due to VERTEX_FAILURE. failedVertices:1 killedVertices:1 (state=08S01,code=2)
Here's some information to complete the picture:
I've enabled LLAP using the Ambari interface, installed HiveServer interactive, restarted the services. I am using Beeline version 1.2.1000.2.6.0 to connect to it.
The table being queried is in ORC format. ORC files are generated by an ETL pipeline and written by Java code using ORC Core. I have no problem querying it without LLAP using HiveServer2.
Any advice is really appreciated. Thank you all!
The issue seems to be related to several known issues of ORC split generation. Try running the query with the following config:
hive.exec.orc.split.strategy=BI
https://community.hortonworks.com/questions/131609/hive-llap-orc-split-generation-failed.html
Your orc file is written by OrcFileWriter with larger version.
Is your hive's version 2.1.1?
1. Fix the problem by using this patch file.
https://patch-diff.githubusercontent.com/raw/apache/orc/pull/75.patch
2. Recompile the hive project.
3. Replace the hive-exec-2.1.1.jar and hive-orc-2.1.1.jar in the lib directory.
Getting the following error on running the spark Job on Spark 2.0.
The error is Random in nature & does not occur all the time.
Once the tasks are being created most of them are completed properly while a few gets hung & throws the following error after a while.
I have tried increasing the following properties spark.executor.heartbeatInterval & spark.network.timeout but of no use.
17/07/23 20:46:35 WARN NettyRpcEndpointRef: Error sending message [message = Heartbeat(driver,[Lscala.Tuple2;#597e9d16,BlockManagerId(driver, 128.164.190.35, 38337))] in 1 attempts
org.apache.spark.rpc.RpcTimeoutException: Futures timed out after [120 seconds]. This timeout is controlled by spark.executor.heartbeatInterval
at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$reportHeartBeat(Executor.scala:518)
at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply$mcV$sp(Executor.scala:547)
at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
at org.apache.spark.executor.Executor$$anon$1$$anonfun$run$1.apply(Executor.scala:547)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1857)
at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:547)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [120 seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:190)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:81)
... 14 more
Yes, the problem is indeed due to GC as it used to pause the tasks, changing the default GC to G1GC reduced the problem. Thanks
XX:+UseG1GC
https://databricks.com/blog/2015/05/28/tuning-java-garbage-collection-for-spark-applications.html