My configurations are as follows:
Running Spark 1.2.0, Hadoop 2.5.0/YARN, Cloudera CDH5 VM Centos 6.2 running on Windows 64 bit platform 8GB RAM
Below is the sequence of commands being run from the spark-shell but while trying to print the cust RDD, I am getting the Kerberos authentication error. I have logged in to spark-shell from cloudera user as login and the Cloudera VM is Kerberos authenticated with cloudera#HADOOP.LOCALDOMAIN as the default principal
Is there any way to authenticate Kerberos from spark-shell for normal RDD operations ?
Or I am missing something ? Appreciate any rightful help and will be rewarded
Below is the Spark Shell commands :
scala> sc
res0: org.apache.spark.SparkContext = org.apache.spark.SparkContext#26226a12
scala> sqlContext
res1: org.apache.spark.sql.SQLContext = org.apache.spark.sql.SQLContext#7213fc4a
scala> import sqlContext.createSchemaRDD
import sqlContext.createSchemaRDD
scala> case class Cust_flat_xml(xmldata: String)
defined class Cust_flat_xml
TRIED TO LOAD FROM LOCAL FILE PATH; BUT AS IT SEEMS FROM ERROR MESSAGE HDFS INPUT IS REQUIRED
**scala> val cust = sc.textFile("/home/cloudera/tdaf/tdaf_xml_data/new_cust_20110630_cpy").map(_.split(" ")).map(p => Cust_flat_xml(p(0)))**
15/07/01 11:11:45 INFO MemoryStore: ensureFreeSpace(260017) called with curMem=843639, maxMem=280248975
15/07/01 11:11:45 INFO MemoryStore: Block broadcast_3 stored as values in memory (estimated size 253.9 KB, free 266.2 MB)
15/07/01 11:11:45 INFO MemoryStore: ensureFreeSpace(21212) called with curMem=1103656, maxMem=280248975
15/07/01 11:11:45 INFO MemoryStore: Block broadcast_3_piece0 stored as bytes in memory (estimated size 20.7 KB, free 266.2 MB)
15/07/01 11:11:45 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory on 10.113.234.25:58467 (size: 20.7 KB, free: 267.2 MB)
15/07/01 11:11:45 INFO BlockManagerMaster: Updated info of block broadcast_3_piece0
15/07/01 11:11:45 INFO SparkContext: Created broadcast 3 from textFile at <console>:28
cust: org.apache.spark.rdd.RDD[Cust_flat_xml] = MappedRDD[9] at map at <console>:28
scala> cust.foreach(println)
15/07/01 11:12:07 INFO DFSClient: Created HDFS_DELEGATION_TOKEN token 42 for cloudera on 127.0.0.1:8020
15/07/01 11:12:07 INFO TokenCache: Got dt for hdfs://localhost.localdomain:8020; Kind: HDFS_DELEGATION_TOKEN, Service: 127.0.0.1:8020, Ident: (HDFS_DELEGATION_TOKEN token 42 for cloudera)
**org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: hdfs://localhost.localdomain:8020/home/cloudera/tdaf/tdaf_xml_data/new_cust_20110630_cpy**
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:285)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
at org.apache.spark.rdd.MappedRDD.getPartitions(MappedRDD.scala:28)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:203)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:203)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1328)
at org.apache.spark.rdd.RDD.foreach(RDD.scala:765)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:31)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:40)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
at $iwC$$iwC$$iwC.<init>(<console>:48)
at $iwC$$iwC.<init>(<console>:50)
at $iwC.<init>(<console>:52)
at <init>(<console>:54)
at .<init>(<console>:58)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:852)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1125)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:674)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:705)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:669)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:828)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:873)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:785)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:628)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:636)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:641)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:968)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:916)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:916)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:916)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1011)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:358)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
ADDED new_cust_20110630_cpy TO HDFS PATH hdfs://localhost.localdomain:8020/spark/sparksql/input
scala> val cust = sc.textFile("/spark/sparksql/input/new_cust_20110630_cpy").map(_.split(" ")).map(p => Cust_flat_xml(p(0)))
15/07/01 11:19:06 INFO MemoryStore: ensureFreeSpace(260041) called with curMem=1124868, maxMem=280248975
15/07/01 11:19:06 INFO MemoryStore: Block broadcast_4 stored as values in memory (estimated size 253.9 KB, free 265.9 MB)
15/07/01 11:19:06 INFO MemoryStore: ensureFreeSpace(21212) called with curMem=1384909, maxMem=280248975
15/07/01 11:19:06 INFO MemoryStore: Block broadcast_4_piece0 stored as bytes in memory (estimated size 20.7 KB, free 265.9 MB)
15/07/01 11:19:06 INFO BlockManagerInfo: Added broadcast_4_piece0 in memory on 10.113.234.25:58467 (size: 20.7 KB, free: 267.2 MB)
15/07/01 11:19:06 INFO BlockManagerMaster: Updated info of block broadcast_4_piece0
15/07/01 11:19:06 INFO SparkContext: Created broadcast 4 from textFile at <console>:28
cust: org.apache.spark.rdd.RDD[Cust_flat_xml] = MappedRDD[13] at map at <console>:28
scala>
scala> cust.foreach(println)
15/07/01 11:19:47 INFO DFSClient: Created HDFS_DELEGATION_TOKEN token 43 for cloudera on 127.0.0.1:8020
15/07/01 11:19:47 INFO TokenCache: Got dt for hdfs://localhost.localdomain:8020; Kind: HDFS_DELEGATION_TOKEN, Service: 127.0.0.1:8020, Ident: (HDFS_DELEGATION_TOKEN token 43 for cloudera)
15/07/01 11:19:47 INFO FileInputFormat: Total input paths to process : 1
15/07/01 11:19:47 INFO SparkContext: Starting job: foreach at <console>:31
15/07/01 11:19:47 INFO DAGScheduler: Got job 0 (foreach at <console>:31) with 2 output partitions (allowLocal=false)
15/07/01 11:19:47 INFO DAGScheduler: Final stage: Stage 0(foreach at <console>:31)
15/07/01 11:19:47 INFO DAGScheduler: Parents of final stage: List()
15/07/01 11:19:47 INFO DAGScheduler: Missing parents: List()
15/07/01 11:19:47 INFO DAGScheduler: Submitting Stage 0 (MappedRDD[13] at map at <console>:28), which has no missing parents
15/07/01 11:19:47 INFO MemoryStore: ensureFreeSpace(3080) called with curMem=1406121, maxMem=280248975
15/07/01 11:19:47 INFO MemoryStore: Block broadcast_5 stored as values in memory (estimated size 3.0 KB, free 265.9 MB)
15/07/01 11:19:47 INFO MemoryStore: ensureFreeSpace(1800) called with curMem=1409201, maxMem=280248975
15/07/01 11:19:47 INFO MemoryStore: Block broadcast_5_piece0 stored as bytes in memory (estimated size 1800.0 B, free 265.9 MB)
15/07/01 11:19:47 INFO BlockManagerInfo: Added broadcast_5_piece0 in memory on 10.113.234.25:58467 (size: 1800.0 B, free: 267.2 MB)
15/07/01 11:19:47 INFO BlockManagerMaster: Updated info of block broadcast_5_piece0
15/07/01 11:19:47 INFO SparkContext: Created broadcast 5 from broadcast at DAGScheduler.scala:838
15/07/01 11:19:47 INFO DAGScheduler: Submitting 2 missing tasks from Stage 0 (MappedRDD[13] at map at <console>:28)
15/07/01 11:19:47 INFO TaskSchedulerImpl: Adding task set 0.0 with 2 tasks
15/07/01 11:19:47 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:48 INFO BlockManagerInfo: Added broadcast_5_piece0 in memory on 10.113.234.25:40605 (size: 1800.0 B, free: 267.3 MB)
15/07/01 11:19:50 INFO BlockManagerInfo: Added broadcast_4_piece0 in memory on 10.113.234.25:40605 (size: 20.7 KB, free: 267.2 MB)
15/07/01 11:19:53 INFO TaskSetManager: Starting task 1.0 in stage 0.0 (TID 1, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:53 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, 10.113.234.25): java.io.IOException: Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020;
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:764)
at org.apache.hadoop.ipc.Client.call(Client.java:1415)
at org.apache.hadoop.ipc.Client.call(Client.java:1364)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy19.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:246)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy20.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1179)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1169)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1159)
at org.apache.hadoop.hdfs.DFSInputStream.fetchLocatedBlocksAndGetLastBlockLength(DFSInputStream.java:270)
at org.apache.hadoop.hdfs.DFSInputStream.openInfo(DFSInputStream.java:237)
at org.apache.hadoop.hdfs.DFSInputStream.<init>(DFSInputStream.java:230)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:1457)
at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:301)
at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:297)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:297)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:766)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:233)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:210)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:99)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
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)
Caused by: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
at org.apache.hadoop.ipc.Client$Connection$1.run(Client.java:679)
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:1642)
at org.apache.hadoop.ipc.Client$Connection.handleSaslConnectionFailure(Client.java:642)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:725)
at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:367)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1463)
at org.apache.hadoop.ipc.Client.call(Client.java:1382)
... 45 more
Caused by: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
at org.apache.hadoop.security.SaslRpcClient.selectSaslClient(SaslRpcClient.java:172)
at org.apache.hadoop.security.SaslRpcClient.saslConnect(SaslRpcClient.java:396)
at org.apache.hadoop.ipc.Client$Connection.setupSaslConnection(Client.java:552)
at org.apache.hadoop.ipc.Client$Connection.access$1800(Client.java:367)
at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:717)
at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:713)
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:1642)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:712)
... 48 more
15/07/01 11:19:53 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID 2, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:53 INFO TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 1]
15/07/01 11:19:53 INFO TaskSetManager: Starting task 1.1 in stage 0.0 (TID 3, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:53 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 2) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 2]
15/07/01 11:19:53 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID 4, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:54 INFO TaskSetManager: Lost task 1.1 in stage 0.0 (TID 3) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 3]
15/07/01 11:19:54 INFO TaskSetManager: Starting task 1.2 in stage 0.0 (TID 5, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:54 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 4) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 4]
15/07/01 11:19:54 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID 6, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:54 INFO TaskSetManager: Lost task 1.2 in stage 0.0 (TID 5) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 5]
15/07/01 11:19:54 INFO TaskSetManager: Starting task 1.3 in stage 0.0 (TID 7, 10.113.234.25, ANY, 1340 bytes)
15/07/01 11:19:54 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 6) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 6]
15/07/01 11:19:54 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times; aborting job
15/07/01 11:19:54 INFO TaskSchedulerImpl: Cancelling stage 0
15/07/01 11:19:54 INFO TaskSchedulerImpl: Stage 0 was cancelled
15/07/01 11:19:54 INFO DAGScheduler: Job 0 failed: foreach at <console>:31, took 6.713733 s
15/07/01 11:19:54 INFO TaskSetManager: Lost task 1.3 in stage 0.0 (TID 7) on executor 10.113.234.25: java.io.IOException (Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020; ) [duplicate 7]
15/07/01 11:19:54 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 6, 10.113.234.25): java.io.IOException: Failed on local exception: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]; Host Details : local host is: "localhost.localdomain/127.0.0.1"; destination host is: "localhost.localdomain":8020;
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:764)
at org.apache.hadoop.ipc.Client.call(Client.java:1415)
at org.apache.hadoop.ipc.Client.call(Client.java:1364)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy19.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:246)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy20.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1179)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1169)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1159)
at org.apache.hadoop.hdfs.DFSInputStream.fetchLocatedBlocksAndGetLastBlockLength(DFSInputStream.java:270)
at org.apache.hadoop.hdfs.DFSInputStream.openInfo(DFSInputStream.java:237)
at org.apache.hadoop.hdfs.DFSInputStream.<init>(DFSInputStream.java:230)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:1457)
at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:301)
at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:297)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:297)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:766)
at org.apache.hadoop.mapred.LineRecordReader.<init>(LineRecordReader.java:108)
at org.apache.hadoop.mapred.TextInputFormat.getRecordReader(TextInputFormat.java:67)
at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:233)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:210)
at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:99)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
at org.apache.hadoop.ipc.Client$Connection$1.run(Client.java:679)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642)
at org.apache.hadoop.ipc.Client$Connection.handleSaslConnectionFailure(Client.java:642)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:725)
at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:367)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1463)
at org.apache.hadoop.ipc.Client.call(Client.java:1382)
... 45 more
Caused by: org.apache.hadoop.security.AccessControlException: Client cannot authenticate via:[TOKEN, KERBEROS]
at org.apache.hadoop.security.SaslRpcClient.selectSaslClient(SaslRpcClient.java:172)
at org.apache.hadoop.security.SaslRpcClient.saslConnect(SaslRpcClient.java:396)
at org.apache.hadoop.ipc.Client$Connection.setupSaslConnection(Client.java:552)
at org.apache.hadoop.ipc.Client$Connection.access$1800(Client.java:367)
at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:717)
at org.apache.hadoop.ipc.Client$Connection$2.run(Client.java:713)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:712)
... 48 more
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
scala>
I have been running Spark 1.2.0 in standalone mode and using a Kerberos-enabled CDH5 cluster (Cloudera VM). So Spark application cannot be run.
For more details see the below link from cloudera:
http://www.cloudera.com/content/cloudera/en/documentation/core/latest/topics/sg_spark_auth.html
HTH ... Pls award points if found useful. Thanks
Related
I'm configuring hive 3.1.0 to work with hadoop 3.0.0.
This error throw almost immediately when I submit a simple query on beeline that cause map reduce
0: jdbc:hive2://> select count(*) from airlinedata;
18/10/11 10:24:45 [HiveServer2-Background-Pool: Thread-124]: WARN ql.Driver: Hive-on-MR is deprecated in Hive 2 and may not be available in the futureversions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
Query ID = UUT81HC_20181011102444_2df01ff5-ca05-403c-b0e1-15f8f7715dc7
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=
In order to set a constant number of reducers:
set mapreduce.job.reduces=
2018-10-11 10:24:45,510 INFO [HiveServer2-Background-Pool: Thread-124] client.RMProxy (RMProxy.java:newProxyInstance(133)) - Connecting to ResourceManager at /10.184.153.232:8032
2018-10-11 10:24:45,555 INFO [HiveServer2-Background-Pool: Thread-124] client.RMProxy (RMProxy.java:newProxyInstance(133)) - Connecting to ResourceManager at /10.184.153.232:8032
18/10/11 10:24:45 [HiveServer2-Background-Pool: Thread-124]: WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
WARN : Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases.
org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.lang.reflect.InvocationTargetException
at org.apache.hadoop.yarn.factories.impl.pb.RecordFactoryPBImpl.newRecordInstance(RecordFactoryPBImpl.java:73)
at org.apache.hadoop.mapreduce.TypeConverter.toYarn(TypeConverter.java:78)
at org.apache.hadoop.mapred.ClientServiceDelegate.(ClientServiceDelegate.java:120)
at org.apache.hadoop.mapred.ClientCache.getClient(ClientCache.java:68)
at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:343)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:254)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1570)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1567)
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:1962)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1567)
at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:576)
at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:571)
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:1962)
at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:571)
at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:562)
at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:423)
at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:149)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:205)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:97)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2664)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:2335)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:2011)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1709)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1703)
at org.apache.hadoop.hive.ql.reexec.ReExecDriver.run(ReExecDriver.java:157)
at org.apache.hive.service.cli.operation.SQLOperation.runQuery(SQLOperation.java:224)
at org.apache.hive.service.cli.operation.SQLOperation.access$700(SQLOperation.java:87)
at org.apache.hive.service.cli.operation.SQLOperation$BackgroundWork$1.run(SQLOperation.java:316)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1962)
at org.apache.hive.service.cli.operation.SQLOperation$BackgroundWork.run(SQLOperation.java:329)
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.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.yarn.factories.impl.pb.RecordFactoryPBImpl.newRecordInstance(RecordFactoryPBImpl.java:70)
... 40 more
Caused by: java.lang.VerifyError: Bad type on operand stack
Exception Details:
Location:
org/apache/hadoop/mapreduce/v2/proto/MRProtos$JobIdProto$Builder.setAppId(Lorg/apache/hadoop/yarn/proto/YarnProtos$ApplicationIdProto;)Lorg/apache/hadoop/mapreduce/v2/proto/MRProtos$JobIdProto$Builder; #36: invokevirtual
Reason:
Type 'org/apache/hadoop/yarn/proto/YarnProtos$ApplicationIdProto' (current frame, stack[1]) is not assignable to 'com/google/protobuf/GeneratedMessage'
Current Frame:
bci: #36
flags: { }
locals: { 'org/apache/hadoop/mapreduce/v2/proto/MRProtos$JobIdProto$Builder', 'org/apache/hadoop/yarn/proto/YarnProtos$ApplicationIdProto' }
stack: { 'com/google/protobuf/SingleFieldBuilder', 'org/apache/hadoop/yarn/proto/YarnProtos$ApplicationIdProto' }
Bytecode:
0x0000000: 2ab4 0011 c700 1b2b c700 0bbb 002f 59b7
0x0000010: 0030 bf2a 2bb5 000a 2ab6 0031 a700 0c2a
0x0000020: b400 112b b600 3257 2a59 b400 1304 80b5
0x0000030: 0013 2ab0
Stackmap Table:
same_frame(#19)
same_frame(#31)
same_frame(#40)
at org.apache.hadoop.mapreduce.v2.proto.MRProtos$JobIdProto.newBuilder(MRProtos.java:1017)
at org.apache.hadoop.mapreduce.v2.api.records.impl.pb.JobIdPBImpl.(JobIdPBImpl.java:37)
... 45 more
yarn resoucemanager stacktrace
2018-10-11 10:24:49,896 INFO rmapp.RMAppImpl: application_1539226955170_0002 State change from ACCEPTED to FINAL_SAVING on event = ATTEMPT_FAILED
2018-10-11 10:24:49,896 INFO recovery.RMStateStore: Updating info for app: application_1539226955170_0002
2018-10-11 10:24:49,897 INFO capacity.CapacityScheduler: Application Attempt appattempt_1539226955170_0002_000002 is done. finalState=FAILED
2018-10-11 10:24:49,897 INFO rmapp.RMAppImpl: Application application_1539226955170_0002 failed 2 times due to AM Container for appattempt_1539226955170_0002_000002 exited with exitCode: -1000
Failing this attempt.Diagnostics: [2018-10-11 10:24:49.876]File does not exist: hdfs://10.184.153.232:19000/tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml
java.io.FileNotFoundException: File does not exist: hdfs://10.184.153.232:19000/tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml
at org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1495)
at org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1488)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1503)
at org.apache.hadoop.yarn.util.FSDownload.copy(FSDownload.java:253)
at org.apache.hadoop.yarn.util.FSDownload.access$000(FSDownload.java:63)
at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:366)
at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:364)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1962)
at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:364)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.doDownloadCall(ContainerLocalizer.java:241)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:234)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:222)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
For more detailed output, check the application tracking page: http://HC-UT40048C.apac.com:8088/cluster/app/application_1539226955170_0002 Then click on links to logs of each attempt.
. Failing the application.
2018-10-11 10:24:49,897 INFO scheduler.AppSchedulingInfo: Application application_1539226955170_0002 requests cleared
2018-10-11 10:24:49,897 INFO rmapp.RMAppImpl: application_1539226955170_0002 State change from FINAL_SAVING to FAILED on event = APP_UPDATE_SAVED
2018-10-11 10:24:49,898 INFO capacity.LeafQueue: Application removed - appId: application_1539226955170_0002 user: UUT81HC queue: default #user-pending-applications: 0 #user-active-applications: 0 #queue-pending-applications: 0 #queue-active-applications: 0
2018-10-11 10:24:49,898 WARN resourcemanager.RMAuditLogger: USER=UUT81HC OPERATION=Application Finished - Failed
TARGET=RMAppManager RESULT=FAILURE DESCRIPTION=App failed with state: FAILED PERMISSIONS=Application application_1539226955170_0002 failed 2 times due to AM Container for appattempt_1539226955170_0002_000002 exited with exitCode: -1000
Failing this attempt.Diagnostics: [2018-10-11 10:24:49.876]File does not exist: hdfs://10.184.153.232:19000/tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml
java.io.FileNotFoundException: File does not exist: hdfs://10.184.153.232:19000/tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml
at org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1495)
at org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1488)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1503)
at org.apache.hadoop.yarn.util.FSDownload.copy(FSDownload.java:253)
at org.apache.hadoop.yarn.util.FSDownload.access$000(FSDownload.java:63)
at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:366)
at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:364)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1962)
at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:364)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.doDownloadCall(ContainerLocalizer.java:241)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:234)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:222)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
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)
For more detailed output, check the application tracking page: http://HC-UT40048C.apac.com:8088/cluster/app/application_1539226955170_0002 Then click on links to logs of each attempt.
. Failing the application. APPID=application_1539226955170_0002
2018-10-11 10:24:49,898 INFO capacity.ParentQueue: Application removed - appId: application_1539226955170_0002 user: UUT81HC leaf-queue of parent: root #applications: 0
2018-10-11 10:24:49,899 INFO resourcemanager.RMAppManager$ApplicationSummary: appId=application_1539226955170_0002,name=select count(*) from airlinedata (Stage-1),user=UUT81HC,queue=default,state=FAILED,trackingUrl=http://HC-UT40048C.apac.com:8088/cluster/app/application_1539226955170_0002,appMasterHost=N/A,submitTime=1539228287412,startTime=1539228287413,finishTime=1539228289896,finalStatus=FAILED,memorySeconds=1482,vcoreSeconds=0,preemptedMemorySeconds=0,preemptedVcoreSeconds=0,preemptedAMContainers=0,preemptedNonAMContainers=0,preemptedResources=,applicationType=MAPREDUCE,resourceSeconds=1482 MB-seconds\, 0 vcore-seconds,preemptedResourceSeconds=0 MB-seconds\, 0 vcore-seconds
After examine how hive execute mapreduce job on yarn, I found that it first it create map.xml and reduce.xml in /tmp with permission drwx------ (only owner can use it)
2018-10-11 10:24:45,133 INFO hdfs.StateChange: BLOCK* allocate blk_1073742318_1495, replicas=10.184.153.232:9866 for /tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/map.xml
2018-10-11 10:24:45,225 INFO hdfs.StateChange: DIR* completeFile: /tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/map.xml is closed by DFSClient_NONMAPREDUCE_164506931_1
2018-10-11 10:24:45,248 INFO namenode.FSDirectory: Increasing replication from 2 to 10 for /tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/map.xml
2018-10-11 10:24:45,294 INFO hdfs.StateChange: BLOCK* allocate blk_1073742319_1496, replicas=10.184.153.232:9866 for /tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml
2018-10-11 10:24:45,411 INFO hdfs.StateChange: DIR* completeFile: /tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml is closed by DFSClient_NONMAPREDUCE_164506931_1
2018-10-11 10:24:45,437 INFO namenode.FSDirectory: Increasing replication from 2 to 10 for /tmp/hive/UUT81HC/0d321851-1d90-4f19-ac50-12d120da601d/hive_2018-10-11_10-24-44_868_5772391105026287697-3/-mr-10005/b8800c0f-f09c-41ca-ab69-a79b72fc9597/reduce.xml
2018-10-11 10:24:45,772 INFO hdfs.StateChange: BLOCK* allocate blk_1073742320_1497, replicas=10.184.153.232:9866 for /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.jar
2018-10-11 10:24:46,438 INFO hdfs.StateChange: DIR* completeFile: /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.jar is closed by DFSClient_NONMAPREDUCE_164506931_1
2018-10-11 10:24:46,463 INFO namenode.FSDirectory: Increasing replication from 2 to 10 for /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.jar
2018-10-11 10:24:46,618 INFO namenode.FSDirectory: Increasing replication from 2 to 10 for /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.split
2018-10-11 10:24:46,639 INFO hdfs.StateChange: BLOCK* allocate blk_1073742321_1498, replicas=10.184.153.232:9866 for /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.split
2018-10-11 10:24:46,706 INFO hdfs.StateChange: DIR* completeFile: /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.split is closed by DFSClient_NONMAPREDUCE_164506931_1
2018-10-11 10:24:46,791 INFO hdfs.StateChange: BLOCK* allocate blk_1073742322_1499, replicas=10.184.153.232:9866 for /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.splitmetainfo
2018-10-11 10:24:46,870 INFO hdfs.StateChange: DIR* completeFile: /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.splitmetainfo is closed by DFSClient_NONMAPREDUCE_164506931_1
2018-10-11 10:24:46,971 INFO hdfs.StateChange: BLOCK* allocate blk_1073742323_1500, replicas=10.184.153.232:9866 for /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.xml
2018-10-11 10:24:47,370 INFO hdfs.StateChange: DIR* completeFile: /tmp/hadoop-yarn/staging/UUT81HC/.staging/job_1539226955170_0002/job.xml is closed by DFSClient_NONMAPREDUCE_164506931_1
2018-10-11 10:32:15,741 INFO blockmanagement.BlockManager: StorageInfo TreeSet fill ratio DS-d4c2a5a0-435d-4b44-b408-3cd04587cd09 : 1.0
But somehow yarn can't read that when executing job and throw out file does not exist. I did set permission 777 on /tmp but this file is self create by hive in executing process so I can't do anything with it.
I doubt that this problem is something related to user or permission when using hive in hadoop. What should I do with this?
iam a submitted a spark job in emr. it runs well in client mode. but while running in cluster mode it shows following error.in
in code im using sqs receiver from GitHub - imapi/spark-sqs-receiver. and trying to access from amazon s3 using s3a.
16/10/21 07:10:00 INFO TaskSetManager: Starting task 0.0 in stage 3.0 (TID 71, ip-172-31-54-127.ec2.internal, partition 0,NODE_LOCAL, 2115 bytes)
16/10/21 07:10:00 INFO BlockManagerInfo: Added broadcast_3_piece0 in memory on ip-172-31-54-127.ec2.internal:43789 (size: 2.4 KB, free: 511.5 MB)
16/10/21 07:10:01 INFO TaskSetManager: Starting task 1.0 in stage 3.0 (TID 72, ip-172-31-54-127.ec2.internal, partition 1,NODE_LOCAL, 2115 bytes)
16/10/21 07:10:01 WARN TaskSetManager: Lost task 0.0 in stage 3.0 (TID 71, ip-172-31-54-127.ec2.internal): java.lang.ExceptionInInitializerError
at sqs.sqstest.Streaming$1.call(Streaming.java:146)
at sqs.sqstest.Streaming$1.call(Streaming.java:97)
at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$fn$1$1.apply(JavaDStreamLike.scala:170)
at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$fn$1$1.apply(JavaDStreamLike.scala:170)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:189)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.SparkException: A master URL must be set in your configuration
at org.apache.spark.SparkContext.<init>(SparkContext.scala:401)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
at sqs.sqstest.Streaming.<clinit>(Streaming.java:41)
... 15 more
16/10/21 07:10:01 INFO YarnClusterSchedulerBackend: Disabling executor 1.
16/10/21 07:10:01 INFO DAGScheduler: Executor lost: 1 (epoch 1)
16/10/21 07:10:01 INFO BlockManagerMasterEndpoint: Trying to remove executor 1 from BlockManagerMaster.
16/10/21 07:10:01 INFO BlockManagerMasterEndpoint: Removing block manager BlockManagerId(1, ip-172-31-54-127.ec2.internal, 43789)
16/10/21 07:10:01 INFO BlockManagerMaster: Removed 1 successfully in removeExecutor
16/10/21 07:10:02 INFO YarnAllocator: Completed container container_1477032067457_0003_02_000002 on host: ip-172-31-54-127.ec2.internal (state: COMPLETE, exit status: 50)
16/10/21 07:10:02 WARN YarnAllocator: Container marked as failed: container_1477032067457_0003_02_000002 on host: ip-172-31-54-127.ec2.internal. Exit status: 50. Diagnostics: Exception from container-launch.
Container id: container_1477032067457_0003_02_000002
Exit code: 50
Stack trace: ExitCodeException exitCode=50:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
at org.apache.hadoop.util.Shell.run(Shell.java:456)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Container exited with a non-zero exit code 50
16/10/21 07:10:02 WARN YarnSchedulerBackend$YarnSchedulerEndpoint: Container marked as failed: container_1477032067457_0003_02_000002 on host: ip-172-31-54-127.ec2.internal. Exit status: 50. Diagnostics: Exception from container-launch.
Container id: container_1477032067457_0003_02_000002
Exit code: 50
Stack trace: ExitCodeException exitCode=50:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:545)
at org.apache.hadoop.util.Shell.run(Shell.java:456)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:722)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
With sparkR in Rstudio Unable to read data in error.
How solve What can I
environment
R：version 3.3.1
RStudio：Version 0.99.902
sparkR：Version 1.6.1
mac：Version 10.11.6
code
SPARK_HOME <- "/usr/local/Cellar/apache-spark/1.6.1/libexec"
Sys.setenv('SPARKR_SUBMIT_ARGS'='"--packages" "com.databricks:spark-csv_2.10:1.4.0" "sparkr-shell"')
.libPaths(c(file.path(SPARK_HOME, "R", "lib"), .libPaths()))
library(SparkR)
sc <- sparkR.init(master="local[3]", sparkHome=SPARK_HOME,
sparkEnvir=list(spark.driver.maemory="6g",
sparkPackages="com.databricks:spark-csv_2.10:1.4.0"))
sqlContext <- sparkRSQL.init(sc)
WARN
WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
code
df <- read.df(sqlContext, "iris.csv", source="com.databricks.spark.csv", inferSchema="true")
WARN
WARN : Your hostname, xxxx-no-MacBook-Pro.local resolves to a loopback/non-reachable address: fe80:0:0:0:701f:d8ff:fe34:fd1%8, but we couldn't find any external IP address!
ERROR
ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
WARN
16/07/20 14:00:44 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
ERROR
16/07/20 14:00:44 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
16/07/20 14:00:44 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
16/07/20 14:00:44 INFO TaskSchedulerImpl: Cancelling stage 0
16/07/20 14:00:44 INFO DAGScheduler: ResultStage 0 (first at CsvRelation.scala:267) failed in 60.099 s
16/07/20 14:00:44 INFO DAGScheduler: Job 0 failed: first at CsvRelation.scala:267, took 60.168711 s
16/07/20 14:00:44 ERROR RBackendHandler: loadDF on org.apache.spark.sql.api.r.SQLUtils failed
invokeJava(isStatic = TRUE, className, methodName, ...) でエラー:
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
Because a solved way isn't understood.
Please tell me.
Try this
Sys.setenv(SPARK_HOME="/usr/local/Cellar/apache-spark/1.6.1/libexec")
Sys.setenv('SPARKR_SUBMIT_ARGS'='"--packages" "com.databricks:spark-csv_2.10:1.4.0" "sparkr-shell"')
library(SparkR, lib.loc = c(file.path(Sys.getenv("SPARK_HOME"), "R","lib")))
sc <- sparkR.init(master="local", sparkEnvir = list(spark.driver.memory="4g", spark.executor.memory="6g"))
sqlContext <- sparkRSQL.init(sc)
It works for me.
I have installed the Spark in Window. I am trying to load the text file from D: drive. RDD is getting created normally but when I perform any action on that receiving error. I have tried with all the combinations of slash but not succeed
scala> val file = sc.textFile("D:\\file\\file1.txt")
15/12/16 07:53:51 INFO MemoryStore: ensureFreeSpace(175321) called with curMem=4
01474, maxMem=280248975
15/12/16 07:53:51 INFO MemoryStore: Block broadcast_2 stored as values in memory
(estimated size 171.2 KB, free 266.7 MB)
15/12/16 07:53:51 INFO MemoryStore: ensureFreeSpace(25432) called with curMem=57
6795, maxMem=280248975
15/12/16 07:53:51 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in
memory (estimated size 24.8 KB, free 266.7 MB)
15/12/16 07:53:51 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on l
ocalhost:51963 (size: 24.8 KB, free: 267.2 MB)
15/12/16 07:53:51 INFO BlockManagerMaster: Updated info of block broadcast_2_pie
ce0
15/12/16 07:53:51 INFO SparkContext: Created broadcast 2 from textFile at <conso
le>:21
file: org.apache.spark.rdd.RDD[String] = D:\file\file1.txt MapPartitionsRDD[5] a
t textFile at <console>:21
RDD getting created normally, but when I try to perform any action on RDD receiving the below error
scala> file.count()
org.apache.hadoop.mapred.InvalidInputException: Input path does not exist: file
/D:/file/file1.txt
at org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(Fi
eInputFormat.java:285)
at org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.
ava:228)
at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.j
va:313)
at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:203)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD
scala:32)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219)
at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217)
at scala.Option.getOrElse(Option.scala:120)
at org.apache.spark.rdd.RDD.partitions(RDD.scala:217)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1512)
at org.apache.spark.rdd.RDD.count(RDD.scala:1006)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:24)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:29)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:31)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:33)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:35)
at $iwC$$iwC$$iwC.<init>(<console>:37)
at $iwC$$iwC.<init>(<console>:39)
at $iwC.<init>(<console>:41)
at <init>(<console>:43)
at .<init>(<console>:47)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl
java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcce
sorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala
1065)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala
1338)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:84
)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:
56)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.sc
la:901)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:813)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:656)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:664)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$l
op(SparkILoop.scala:669)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spar
ILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:996)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spar
ILoop$$process$1.apply(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$Spar
ILoop$$process$1.apply(SparkILoop.scala:944)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClas
Loader.scala:135)
at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$p
ocess(SparkILoop.scala:944)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1058)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl
java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcce
sorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSu
mit$$runMain(SparkSubmit.scala:569)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:1
6)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:189)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:110)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
scala>
You have to use sc.textFile("file:///...")
By default it might look into HDFS. By using file protocol you will be saying to use local file system.
On windows, I got this command working
sc.textFile("file:\\C:\\Users\\data.txt").count()
For you try sc.textFile("file:\\D:\\file\\file1.txt"). Also check if you have D:/file/file.txt with the permissions. You can go to file browser and see what permissions you have on directory file and file file.txt
I am trying to read form Hbase using following code
JavaPairRDD<ImmutableBytesWritable, Result> pairRdd = ctx
.newAPIHadoopRDD(conf, TableInputFormat.class,
ImmutableBytesWritable.class,
org.apache.hadoop.hbase.client.Result.class).cache().cache();
System.out.println(pairRdd.count());
But getting exception
java.lang.IllegalStateException: unread block data
Find below code
SparkConf sparkConf = new SparkConf().setAppName("JavaSparkSQL");
sparkConf.set("spark.master","spark://192.168.50.247:7077");
/* String [] stjars={"/home/BreakDown/SparkDemo2/target/SparkDemo2-0.0.1-SNAPSHOT.jar"};
sparkConf.setJars(stjars);*/
JavaSparkContext ctx = new JavaSparkContext(sparkConf);
JavaSQLContext sqlCtx = new JavaSQLContext(ctx);
Configuration conf= HBaseConfiguration.create();
;
conf.set("hbase.master","192.168.50.73:60000");
conf.set("hbase.zookeeper.quorum","192.168.50.73");
conf.set("hbase.zookeeper.property.clientPort","2181");
conf.set("zookeeper.session.timeout","6000");
conf.set("zookeeper.recovery.retry","1");
conf.set("hbase.mapreduce.inputtable","employee11");
Any pointer will be of great help
Spark version 1.1.1 hadoop 2
hadoop 2.2.0
Hbase 0.98.8-hadoop2
PFB Stack Trace
14/12/17 21:18:45 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
14/12/17 21:18:46 INFO AppClient$ClientActor: Connecting to master spark://192.168.50.247:7077...
14/12/17 21:18:46 INFO SparkDeploySchedulerBackend: SchedulerBackend is ready for scheduling beginning after reached minRegisteredResourcesRatio: 0.0
14/12/17 21:18:46 INFO SparkDeploySchedulerBackend: Connected to Spark cluster with app ID app-20141217211846-0035
14/12/17 21:18:47 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID 0, 192.168.50.253, ANY, 1256 bytes)
14/12/17 21:18:47 INFO BlockManagerMasterActor: Registering block manager 192.168.50.253:41717 with 265.4 MB RAM, BlockManagerId(0, 192.168.50.253, 41717, 0)
14/12/17 21:18:48 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, 192.168.50.253): java.lang.IllegalStateException: unread block data
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2420)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1380)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1989)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1913)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1796)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1348)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:160)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:724)