I am very new to Camus and Hadoop, and am running into an exception error. I am trying to write some avro files to a hdfs, and keep getting the following error block:
[EtlMultiOutputRecordWriter] - ExceptionWritable key: topic=_schemas partition=0leaderId=0 server= service= beginOffset=0 offset=0 msgSize=1024 server= checksum=0 time=1450371931447 value: java.lang.Exception
at com.linkedin.camus.etl.kafka.common.KafkaReader.getNext(KafkaReader.java:108)
at com.linkedin.camus.etl.kafka.mapred.EtlRecordReader.nextKeyValue(EtlRecordReader.java:232)
at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:556)
at org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue(MapContextImpl.java:80)
at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.nextKeyValue(WrappedMapper.java:91)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:145)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.NullPointerException
... 14 more
I looked up line 108 in com.linkedin.camus.etl.kafka.common.KafkaReader.getNext and found it to be this: MessageAndOffset msgAndOffset = messageIter.next();.
I am using io.confluent.camus.etl.kafka.coders.AvroMessageDecoder for my decoder and com.linkedin.camus.example.DummySchemaRegistry for my coder.
At the end of the logs I get another line indicating an error from one of the hdfs files: Error from file [hdfs://localhost:9000/user/username/exec/2015-12-17-17-05-25/errors-m-00000]. The error-m-00000 file contains a somewhat readable beginning, but then changes to an undecipherable string:
SEQ*com.linkedin.camus.etl.kafka.common.EtlKey5com.linkedin.camus.etl.kafka.common.ExceptionWritable*org.apache.hadoop.io.compress.DefaultCodec|Ò ∫±ß˝}pºHí$ò¸·:0schemasQ∞∆øÿxúïîÀN√0E7l‡+∫»¢lFMõ>á*êxU®™ËzÍ màc[ÆÕ„XÚÕÿqZ%#[ÿD±gÓô…¯∆üGœ¯Ç¿Q,·Úçë2ô'«hZL¿3ëSöXÿ5ê·ê„Sé‡ÇÖpÎS¬î4,…LËÕ¥Î{û}wFßáâ*M)>%&uZÑCfi“˚#rKÌÔ¡flÌu^Í%†B∂"Xa*•⁄0ÔQÕpùGzùidy&ñªkT…śԈ≥-#0>›…∆RG∫.ˇÅ¨«JÚ®sÃ≥Ö¡\£Rîfi˚ßéT≥D#%T8ãW®ÚµÌ∫4N˙©W∫©mst√—Ô嶥óhÓ$C~#S+Ñâ{ãÇfl¡ßí⁄L´ÏíÙºÙΩ5wfÃjM¬∏_Äò5RØ£
Ë"Eeúÿëx{ÆÏ«{XW÷XM€O¨-C#É¡Òl•ù9§‰õö2ó:wɲ%Œ-N∫ˇbFXˆ∑ :àá5fyQÑ‘ö™:roõ1⁄5•≠≈˚yM0±ú?»ÃW◊.h≈I´êöNæ
[û3
At the end it appears that a hadoop job has run, but a commit never takes place, based of the timing report:
Job time (seconds):
pre setup 1.0 (11%)
get splits 1.0 (11%)
hadoop job 4.0 (44%)
commit 0.0 (0%)
Total: 0 minutes 9 seconds
Any help or an idea of where to look to resolve this would be greatly appreciated. Thank you.
Related
I'm using rocksDB to store data where the key is a string and the value is an integer. Recently my application threw the following exception while writing into rocks.
java.lang.Exception: org.rocksdb.RocksDBException: bad entry in block
at com.techspot.store.RocksStore.encodePacket(RocksStore.java:684) ~[techspot-encoder-dev.jar:?]
at com.techspot.store.workers.PacketEncoder.run(PacketEncoder.java:67) [techspot-encoder-dev.jar:?]
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) [?:1.8.0_212]
at java.util.concurrent.FutureTask.run(FutureTask.java:266) [?:1.8.0_212]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) [?:1.8.0_212]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) [?:1.8.0_212]
at java.lang.Thread.run(Thread.java:748) [?:1.8.0_212]
Caused by: org.rocksdb.RocksDBException: bad entry in block
at org.rocksdb.RocksDB.get(Native Method) ~[rocksdbjni-6.13.3.jar:?]
at org.rocksdb.RocksDB.get(RocksDB.java:1948) ~[rocksdbjni-6.13.3.jar:?]
at com.techspot.store.RocksStore.packetExists(RocksStore.java:402) ~[techspot-encoder-dev.jar:?]
at com.techspot.store.RocksStore.encodePacket(RocksStore.java:634) ~[techspot-encoder-dev.jar:?]
... 6 more
The error first started occurring when the number of entries was ~350 million and the database size was ~18GB. This issue is hard to reproduce, I tried to reproduce it by putting almost ~700 million entries but couldn't do it. I'm using RocksDB version 6.13.3 and using the following options for rocksDB:
Options options = new Options();
BlockBasedTableConfig blockBasedTableConfig = new BlockBasedTableConfig();
blockBasedTableConfig.setBlockSize(16 * 1024);// 16Kb
options.setWriteBufferSize(64 * 1024 * 1024);// 64MB
options.setMaxWriteBufferNumber(8);
options.setMinWriteBufferNumberToMerge(1);
options.setTableCacheNumshardbits(8);
options.setLevelZeroSlowdownWritesTrigger(1000);
options.setLevelZeroStopWritesTrigger(2000);
options.setLevelZeroFileNumCompactionTrigger(1);
options.setCompressionType(CompressionType.LZ4_COMPRESSION);
options.setTableFormatConfig(blockBasedTableConfig);
options.setCompactionStyle(CompactionStyle.UNIVERSAL);
options.setCreateIfMissing(Boolean.TRUE);
options.setEnablePipelinedWrite(true);
options.setIncreaseParallelism(8);
Does anyone have any idea what might be the cause for this exception?
I know this kind of question have been asked previously, but I still don't get solution after reading their posts, so I decide to post this question again from here.
I Am working on Java multi-threaded application where I am trying to run HQL queries using JDBC on Hive environment. I have bunch of hive-sql queries and i am executing them on Hive in parallel with multiple threads and I am getting following exception when queries count more (for example, if i am running more than 100 queries). can some one please check this and help me on this?
2020-06-16 06:00:45,314 ERROR [main]: Terminal exception
java.lang.Exception: Map step agg_cas_auth_reinstate_derive failed.
at com.mine.idn.magellan.ParallelExecGraph.execute(ParallelExecGraph.java:198)
at com.mine.idn.magellan.WarehouseSession.executeMap(WarehouseSession.java:332)
at com.mine.idn.magellan.StandAloneEnv.execute(StandAloneEnv.java:872)
at com.mine.idn.magellan.StandAloneEnv.execute(StandAloneEnv.java:778)
at com.mine.idn.magellan.StandAloneEnv.executeAndExit(StandAloneEnv.java:642)
at com.mine.idn.magellan.StandAloneEnv.main(StandAloneEnv.java:77)
Caused by: java.sql.SQLException: org.apache.hive.service.cli.HiveSQLException: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask. java.io.IOException: Bad file descriptor
at org.apache.hive.service.cli.operation.Operation.toSQLException(Operation.java:380)
at org.apache.hive.service.cli.operation.SQLOperation.runQuery(SQLOperation.java:257)
at org.apache.hive.service.cli.operation.SQLOperation.access$800(SQLOperation.java:91)
at org.apache.hive.service.cli.operation.SQLOperation$BackgroundWork$1.run(SQLOperation.java:348)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1669)
at org.apache.hive.service.cli.operation.SQLOperation$BackgroundWork.run(SQLOperation.java:362)
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: java.lang.RuntimeException: java.io.IOException: Bad file descriptor
at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:2850)
at org.apache.hadoop.conf.Configuration.loadResources(Configuration.java:2685)
at org.apache.hadoop.conf.Configuration.getProps(Configuration.java:2591)
at org.apache.hadoop.conf.Configuration.get(Configuration.java:1077)
at org.apache.hadoop.mapred.JobConf.checkAndWarnDeprecation(JobConf.java:2007)
at org.apache.hadoop.mapred.JobConf.<init>(JobConf.java:479)
at org.apache.hadoop.mapred.JobConf.<init>(JobConf.java:469)
at org.apache.hadoop.mapreduce.Cluster.getJob(Cluster.java:190)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:601)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:599)
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:1669)
at org.apache.hadoop.mapred.JobClient.getJobUsingCluster(JobClient.java:599)
at org.apache.hadoop.mapred.JobClient.getJobInner(JobClient.java:609)
at org.apache.hadoop.mapred.JobClient.getJob(JobClient.java:639)
at org.apache.hadoop.hive.ql.exec.mr.HadoopJobExecHelper.progress(HadoopJobExecHelper.java:295)
at org.apache.hadoop.hive.ql.exec.mr.HadoopJobExecHelper.progress(HadoopJobExecHelper.java:559)
at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:425)
at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:151)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:201)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
at org.apache.hadoop.hive.ql.exec.TaskRunner.run(TaskRunner.java:79)
Caused by: java.io.IOException: Bad file descriptor
at java.io.FileInputStream.close0(Native Method)
at java.io.FileInputStream.access$000(FileInputStream.java:49)
at java.io.FileInputStream$1.close(FileInputStream.java:336)
at java.io.FileDescriptor.closeAll(FileDescriptor.java:212)
at java.io.FileInputStream.close(FileInputStream.java:334)
at java.io.BufferedInputStream.close(BufferedInputStream.java:483)
at org.apache.hadoop.conf.Configuration.parse(Configuration.java:2676)
at org.apache.hadoop.conf.Configuration.parse(Configuration.java:2661)
at org.apache.hadoop.conf.Configuration.loadResource(Configuration.java:2741)
... 22 more
at org.apache.hive.jdbc.HiveStatement.waitForOperationToComplete(HiveStatement.java:385)
at org.apache.hive.jdbc.HiveStatement.execute(HiveStatement.java:254)
at com.mine.idn.magellan.WarehouseSession.executeMapStep(WarehouseSession.java:797)
at com.mine.idn.magellan.WarehouseSession.access$000(WarehouseSession.java:23)
at com.mine.idn.magellan.WarehouseSession$ParallelExecResources.executeMapStep(WarehouseSession.java:91)
at com.mine.idn.magellan.ParallelExecGraph$Node.run(ParallelExecGraph.java:85)
at java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
What i dont understand is, why hadoop framework throwing - Bad File Descriptor Exception? My Java code invoking Hadoop-Hive code and its throwing this exception.
Also one more thing is this issue is intermittent, not consistent. If i re-run the same application, most of the cases, it went through.
Thank you for
I am trying to evaluate hive LLAP on a Hortonworks HDP 2.6 cluster.
Unfortunately, I get a java.lang.RuntimeException: ORC split generation failed when trying to execute queries:
ERROR : Status: Failed
ERROR : Vertex failed, vertexName=Map 1, vertexId=vertex_1504166274656_0006_3_00, diagnostics=[Vertex vertex_1504166274656_0006_3_00 [Map 1] killed/failed due to:ROOT_INPUT_INIT_FAILURE, Vertex Input: gprs_records initializer failed, vertex=vertex_1504166274656_0006_3_00 [Map 1], java.lang.RuntimeException: ORC split generation failed with exception: java.lang.ArrayIndexOutOfBoundsException: 5
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1615)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1701)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.addSplitsForGroup(HiveInputFormat.java:446)
at org.apache.hadoop.hive.ql.io.HiveInputFormat.getSplits(HiveInputFormat.java:569)
at org.apache.hadoop.hive.ql.exec.tez.HiveSplitGenerator.initialize(HiveSplitGenerator.java:196)
at org.apache.tez.dag.app.dag.RootInputInitializerManager$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.
I wrote a mapreduce job to scan an hbase table for a certain time range to count certain elements we need for analysis.
Mappers in the MR job keeps failing but I don't know why. Seems like each time I run the job, a different number of mappers fail. The YARN log (see below) from Cloudera manager isn't helpful in pointing what the problem is, although, someone said I might be running out of memory.
It seems to retry multiple times but each time it fails. What do I need to do to make it stop failing or how can I log things to help me better determine what is happening?
Below is a log from YARN for one of the mappers that failed.
Error: org.apache.hadoop.hbase.client.RetriesExhaustedException:
Failed after attempts=36, exceptions: Thu Jun 15 16:26:57 PDT 2017,
null, java.net.SocketTimeoutException: callTimeout=60000,
callDuration=60301: row '152_p3401.db161139.sjc102.dbi_1496271480' on
table 'dbi_based_data' at
region=dbi_based_data,151_p3413.db162024.iad4.dbi_1476974340,1486675565213.d83250d0682e648d165872afe5abd60e., hostname=hslave35118.ams9.mysecretdomain.com,60020,1483570489305,
seqNum=19308931 at
org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.throwEnrichedException(RpcRetryingCallerWithReadReplicas.java:276)
at
org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:207)
at
org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:60)
at
org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:200)
at
org.apache.hadoop.hbase.client.ClientScanner.call(ClientScanner.java:320)
at
org.apache.hadoop.hbase.client.ClientScanner.loadCache(ClientScanner.java:403)
at
org.apache.hadoop.hbase.client.ClientScanner.next(ClientScanner.java:364)
at
org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.nextKeyValue(TableRecordReaderImpl.java:236)
at
org.apache.hadoop.hbase.mapreduce.TableRecordReader.nextKeyValue(TableRecordReader.java:147)
at
org.apache.hadoop.hbase.mapreduce.TableInputFormatBase$1.nextKeyValue(TableInputFormatBase.java:216)
at
org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:556)
at
org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue(MapContextImpl.java:80)
at
org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.nextKeyValue(WrappedMapper.java:91)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144) at
org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787) at
org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) at
org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:164) at
java.security.AccessController.doPrivileged(Native Method) at
javax.security.auth.Subject.doAs(Subject.java:415) at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:158) Caused
by: java.net.SocketTimeoutException: callTimeout=60000,
callDuration=60301: row '152_p3401.db161139.sjc102.dbi_1496271480' on
table 'dbi_based_data' at
region=dbi_based_data,151_p3413.db162024.iad4.dbi_1476974340,1486675565213.d83250d0682e648d165872afe5abd60e., hostname=hslave35118.ams9.mysecretdomain.com,60020,1483570489305,
seqNum=19308931 at
org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:159)
at
org.apache.hadoop.hbase.client.ResultBoundedCompletionService$QueueingFuture.run(ResultBoundedCompletionService.java:65)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745) Caused by:
java.io.IOException: Call to
hslave35118.ams9.mysecretdomain.com/10.216.35.118:60020 failed on
local exception: org.apache.hadoop.hbase.ipc.CallTimeoutException:
Call id=12, waitTime=60001, operationTimeout=60000 expired. at
org.apache.hadoop.hbase.ipc.AbstractRpcClient.wrapException(AbstractRpcClient.java:291)
at
org.apache.hadoop.hbase.ipc.RpcClientImpl.call(RpcClientImpl.java:1272)
at
org.apache.hadoop.hbase.ipc.AbstractRpcClient.callBlockingMethod(AbstractRpcClient.java:226)
at
org.apache.hadoop.hbase.ipc.AbstractRpcClient$BlockingRpcChannelImplementation.callBlockingMethod(AbstractRpcClient.java:331)
at
org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ClientService$BlockingStub.scan(ClientProtos.java:34094)
at
org.apache.hadoop.hbase.client.ScannerCallable.call(ScannerCallable.java:219)
at
org.apache.hadoop.hbase.client.ScannerCallable.call(ScannerCallable.java:64)
at
org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:200)
at
org.apache.hadoop.hbase.client.ScannerCallableWithReplicas$RetryingRPC.call(ScannerCallableWithReplicas.java:360)
at
org.apache.hadoop.hbase.client.ScannerCallableWithReplicas$RetryingRPC.call(ScannerCallableWithReplicas.java:334)
at
org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:126)
... 4 more Caused by:
org.apache.hadoop.hbase.ipc.CallTimeoutException: Call id=12,
waitTime=60001, operationTimeout=60000 expired. at
org.apache.hadoop.hbase.ipc.Call.checkAndSetTimeout(Call.java:73) at
org.apache.hadoop.hbase.ipc.RpcClientImpl.call(RpcClientImpl.java:1246)
... 13 more
So it looks like for my case I needed to extend the timeout setting. In my Java program I had to add the following lines to make the exception go away:
conf.set("hbase.rpc.timeout","90000");
conf.set("hbase.client.scanner.timeout.period","90000");
The answer was found on this link on Cloudera's site
I'm trying to store a java pair RDD as a Hadoop sequence file as follows:
JavaPairRDD<ImmutableBytesWritable, Put> putRdd = ...
config.set("io.serializations","org.apache.hadoop.io.serializer.JavaSerialization,org.apache.hadoop.io.serializer.WritableSerialization");
putRdd.saveAsNewAPIHadoopFile(outputPath, ImmutableBytesWritable.class, Put.class, SequenceFileOutputFormat.class, config);
But I get the exception even if I'm setting the io.serializations:
2017-04-06 14:39:32,623 ERROR [Executor task launch worker-0] executor.Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.io.IOException: Could not find a serializer for the Value class: 'org.apache.hadoop.hbase.client.Put'. Please ensure that the configuration 'io.serializations' is properly configured, if you're usingcustom serialization.
at org.apache.hadoop.io.SequenceFile$Writer.init(SequenceFile.java:1192)
at org.apache.hadoop.io.SequenceFile$Writer.<init>(SequenceFile.java:1094)
at org.apache.hadoop.io.SequenceFile.createWriter(SequenceFile.java:273)
at org.apache.hadoop.io.SequenceFile.createWriter(SequenceFile.java:530)
at org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat.getSequenceWriter(SequenceFileOutputFormat.java:64)
at org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat.getRecordWriter(SequenceFileOutputFormat.java:75)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1030)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1$$anonfun$12.apply(PairRDDFunctions.scala:1014)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
2017-04-06 14:39:32,669 ERROR [task-result-getter-0] scheduler.TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Any idea on how I can fix this??
I find the fix, apparently Put (and all HBase mutations) have a specific serialiser MutationSerialization.
The following line fixes the issue:
config.setStrings("io.serializations",
config.get("io.serializations"),
MutationSerialization.class.getName(),
ResultSerialization.class.getName());