Structured Streaming application crashes - apache-spark

So, I have a structured streaming application that is reading in 3 csv files from S3 on a 5 minute trigger interval. A basic groupby is performed on the dataframe and then using the foreach output I asynchronously write out the records to an external data store. After about 4-5 intervals, the spark job crashes and this is what I find in the logs: Does anyone have a solution for this? If not, what would your first steps to debug this be?
17/06/19 17:46:36 INFO SparkContext: Created broadcast 1 from broadcast at StreamFromS3.scala:65
17/06/19 17:47:31 WARN ClosureCleaner: Expected a closure; got com.ignitionone.es.ForEachOuput
17/06/19 17:48:19 WARN FileStreamSource: Listed 348653 file(s) in 47382.367306 ms
17/06/19 17:50:51 WARN FileStreamSource: Listed 348653 file(s) in 51272.664258 ms
17/06/19 17:55:50 WARN FileStreamSource: Listed 348707 file(s) in 50868.757278 ms
17/06/19 18:00:51 WARN FileStreamSource: Listed 348747 file(s) in 51256.287437 ms
17/06/19 18:00:51 ERROR ApplicationMaster: RECEIVED SIGNAL TERM
17/06/19 18:00:51 ERROR ApplicationMaster: Exception from Reporter thread.
org.apache.hadoop.yarn.exceptions.ApplicationAttemptNotFoundException: Application attempt appattempt_1497453419814_0060_000001 doesn't exist in ApplicationMasterService cache.
at org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:439)
at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
at org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2.callBlockingMethod(ApplicationMasterProtocol.java:99)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2045)
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.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
at org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:101)
at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.allocate(ApplicationMasterProtocolPBClientImpl.java:79)
at sun.reflect.GeneratedMethodAccessor67.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy19.allocate(Unknown Source)
at org.apache.hadoop.yarn.client.api.impl.AMRMClientImpl.allocate(AMRMClientImpl.java:277)
at org.apache.spark.deploy.yarn.YarnAllocator.allocateResources(YarnAllocator.scala:260)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$1.run(ApplicationMaster.scala:458)
Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.yarn.exceptions.ApplicationAttemptNotFoundException): Application attempt appattempt_1497453419814_0060_000001 doesn't exist in ApplicationMasterService cache.
at org.apache.hadoop.yarn.server.resourcemanager.ApplicationMasterService.allocate(ApplicationMasterService.java:439)
at org.apache.hadoop.yarn.api.impl.pb.service.ApplicationMasterProtocolPBServiceImpl.allocate(ApplicationMasterProtocolPBServiceImpl.java:60)
at org.apache.hadoop.yarn.proto.ApplicationMasterProtocol$ApplicationMasterProtocolService$2.callBlockingMethod(ApplicationMasterProtocol.java:99)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:982)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2045)
at org.apache.hadoop.ipc.Client.call(Client.java:1475)
at org.apache.hadoop.ipc.Client.call(Client.java:1412)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
at com.sun.proxy.$Proxy18.allocate(Unknown Source)
at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.allocate(ApplicationMasterProtocolPBClientImpl.java:77)
... 9 more

Related

Error when run structured streaming program

I'm trying to run the example program StructuredNetworkWordCount in structured streaming. But an error occurs when running it. The detailed logs are as follows:
INFO StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
WARN TextSocketSourceProvider: The socket source should not be used for production applications! It does not support recovery.
ERROR StreamMetadata: Error writing stream metadata StreamMetadata(be38301d-e098-4040-9b17-e01eea67dace) to /tmp/temporary-5b3821f4-07c5-4830-b664-7fcee2a7a8d9/metadata
java.io.IOException: timeout
at org.apache.hadoop.fs.DfsOutputStream.nativeClose(Native Method)
at org.apache.hadoop.fs.DfsOutputStream.close(DfsOutputStream.java:118)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
at sun.nio.cs.StreamEncoder.implClose(StreamEncoder.java:320)
at sun.nio.cs.StreamEncoder.close(StreamEncoder.java:149)
at java.io.OutputStreamWriter.close(OutputStreamWriter.java:233)
at com.fasterxml.jackson.core.json.WriterBasedJsonGenerator.close(WriterBasedJsonGenerator.java:883)
at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3561)
at com.fasterxml.jackson.databind.ObjectMapper.writeValue(ObjectMapper.java:2909)
at org.json4s.jackson.Serialization$.write(Serialization.scala:27)
at org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:78)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.execution.streaming.StreamExecution.<init>(StreamExecution.scala:114)
at org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
at org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
at org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
at com.baidu.inf.spark.StructuredNetworkWordCount$.main(StructuredNetworkWordCount.scala:53)
at com.baidu.inf.spark.StructuredNetworkWordCount.main(StructuredNetworkWordCount.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Exception in thread "main" java.io.IOException: timeout
at org.apache.hadoop.fs.DfsOutputStream.nativeClose(Native Method)
at org.apache.hadoop.fs.DfsOutputStream.close(DfsOutputStream.java:118)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
at sun.nio.cs.StreamEncoder.implClose(StreamEncoder.java:320)
at sun.nio.cs.StreamEncoder.close(StreamEncoder.java:149)
at java.io.OutputStreamWriter.close(OutputStreamWriter.java:233)
at com.fasterxml.jackson.core.json.WriterBasedJsonGenerator.close(WriterBasedJsonGenerator.java:883)
at com.fasterxml.jackson.databind.ObjectMapper._configAndWriteValue(ObjectMapper.java:3561)
at com.fasterxml.jackson.databind.ObjectMapper.writeValue(ObjectMapper.java:2909)
at org.json4s.jackson.Serialization$.write(Serialization.scala:27)
at org.apache.spark.sql.execution.streaming.StreamMetadata$.write(StreamMetadata.scala:78)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:116)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$6.apply(StreamExecution.scala:114)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.execution.streaming.StreamExecution.<init>(StreamExecution.scala:114)
at org.apache.spark.sql.streaming.StreamingQueryManager.createQuery(StreamingQueryManager.scala:240)
at org.apache.spark.sql.streaming.StreamingQueryManager.startQuery(StreamingQueryManager.scala:278)
at org.apache.spark.sql.streaming.DataStreamWriter.start(DataStreamWriter.scala:282)
at com.baidu.inf.spark.StructuredNetworkWordCount$.main(StructuredNetworkWordCount.scala:53)
at com.baidu.inf.spark.StructuredNetworkWordCount.main(StructuredNetworkWordCount.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:775)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:119)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
INFO SparkContext: Invoking stop() from shutdown hook

Datastax : All host(s) tried for query failed (no host was tried)

We are having 8 node datastax cluster, while starting to thrift server we are getting All host(s) tried for query failed (no host was tried)
ERROR 2017-12-30 21:16:16,317 org.apache.spark.deploy.DseSparkSubmitBootstrapper: Failed to start or submit Spark application
java.lang.RuntimeException: com.datastax.bdp.fs.model.InternalServerException: com.datastax.driver.core.exceptions.NoHostAvailableException: All host(s) tried for query failed (no host was tried)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522) ~[hive-exec-1.2.1.spark2.jar:1.2.1.spark2]
at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:189) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) ~[na:1.8.0_151]
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) ~[na:1.8.0_151]
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) ~[na:1.8.0_151]
at java.lang.reflect.Constructor.newInstance(Constructor.java:423) ~[na:1.8.0_151]
at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:258) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:359) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:263) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.HiveSessionState.metadataHive$lzycompute(HiveSessionState.scala:43) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.HiveSessionState.metadataHive(HiveSessionState.scala:43) ~[spark-hive_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:62) ~[spark-hive-thriftserver_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2$.main(HiveThriftServer2.scala:81) ~[spark-hive-thriftserver_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at org.apache.spark.sql.hive.thriftserver.HiveThriftServer2.main(HiveThriftServer2.scala) ~[spark-hive-thriftserver_2.11-2.0.2.6-de611f9.jar:2.0.2.6-de611f9]
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[na:1.8.0_151]
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) ~[na:1.8.0_151]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[na:1.8.0_151]
at java.lang.reflect.Method.invoke(Method.java:498) ~[na:1.8.0_151]
at org.apache.spark.deploy.DseSparkSubmit$.org$apache$spark$deploy$DseSparkSubmit$$runMain(DseSparkSubmit.scala:733) ~[dse-spark-5.1.5.jar:5.1.5]
at org.apache.spark.deploy.DseSparkSubmit$.doRunMain$1(DseSparkSubmit.scala:177) ~[dse-spark-5.1.5.jar:5.1.5]
at org.apache.spark.deploy.DseSparkSubmit$.submit(DseSparkSubmit.scala:202) ~[dse-spark-5.1.5.jar:5.1.5]
at org.apache.spark.deploy.DseSparkSubmit$.main(DseSparkSubmit.scala:111) ~[dse-spark-5.1.5.jar:5.1.5]
at org.apache.spark.deploy.DseSparkSubmitBootstrapper$.main(DseSparkSubmitBootstrapper.scala:116) ~[dse-spark-5.1.5.jar:5.1.5]
at org.apache.spark.deploy.DseSparkSubmitBootstrapper.main(DseSparkSubmitBootstrapper.scala) [dse-spark-5.1.5.jar:5.1.5]
Caused by: com.datastax.bdp.fs.model.InternalServerException: com.datastax.driver.core.exceptions.NoHostAvailableException: All host(s) tried for query failed (no host was tried)
at com.datastax.bdp.fs.model.DseFsJsonProtocol$ThrowableReader$.read(DseFsJsonProtocol.scala:236) ~[dse-dsefs-common-5.1.5.jar:5.1.5]
at com.datastax.bdp.fs.model.DseFsJsonProtocol$ThrowableReader$.read(DseFsJsonProtocol.scala:211) ~[dse-dsefs-common-5.1.5.jar:5.1.5]
at spray.json.JsValue.convertTo(JsValue.scala:31) ~[spray-json_2.11-1.3.2.jar:na]
at com.datastax.bdp.fs.rest.RestResponse$stateMachine$macro$281$1.apply(RestResponse.scala:48) ~[dse-dsefs-common-5.1.5.jar:5.1.5]
at com.datastax.bdp.fs.rest.RestResponse$stateMachine$macro$281$1.apply(RestResponse.scala:44) ~[dse-dsefs-common-5.1.5.jar:5.1.5]
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:36) ~[scala-library-2.11.11.jar:na]
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:408) ~[netty-all-4.0.42.Final.jar:4.0.42.Final]
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:455) ~[netty-all-4.0.42.Final.jar:4.0.42.Final]
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:140) ~[netty-all-4.0.42.Final.jar:4.0.42.Final]
at java.lang.Thread.run(Thread.java:748) ~[na:1.8.0_151]
ERROR 2017-12-30 21:16:17,048 org.apache.spark.scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerExecutorAdded(1514668577045,1,org.apache.spark.scheduler.cluster.ExecutorData#adac7383)
ERROR 2017-12-30 21:16:17,108 org.apache.spark.scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerBlockManagerAdded(1514668577108,BlockManagerId(1, , 40533),384093388)
The error is being thrown by the Metastore attempting to setup a directory in DSEFS and failing. We can see the DSEFS root here
java.lang.RuntimeException: com.datastax.bdp.fs.model.InternalServerException:
com.datastax.driver.core.exceptions.NoHostAvailableException:
All host(s) tried for query failed (no host was tried)
The most common cause of this is that the Replication on the DSEFS based key-space is not configured such that a LOCAL consistency request could not succeed from the node in question. I would check the replication and make sure that if you are using NetworkTopologyStrategy that the DC name matches the current DC. If you have multiple DC's and are using SimpleStrategy this would also cause breaks.

Running spark shell on distant yarn (cdh) cluster

I would like to run the spark-shell locally on my computer but make the commands run on a "distant" yarn cluster (on cdh 5.5.0) with the yarn-client mode.
I installed spark 2.0.1 locally as well as hadoop 2.6. I set the HADOOP_CONF_DIR and YARN_CONF_DIR to /usr/local/lib/hadoop/etc/hadoop (containing yarn-site.xml and core-site.xml) on my local computer. I lifted the configuration xml files from the cluster.
When I start the spark shell with ./bin/spark-shell --master yarn --deploy-mode client I get a java.io.IOException: Connection reset by peer error:
16/11/03 14:42:04 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/11/03 14:42:08 WARN shortcircuit.DomainSocketFactory: The short-circuit local reads feature cannot be used because libhadoop cannot be loaded.
16/11/03 14:42:10 WARN ipc.Client: Exception encountered while connecting to the server : java.io.IOException: Connection reset by peer
16/11/03 14:42:10 ERROR spark.SparkContext: Error initializing SparkContext.
java.io.IOException: Failed on local exception: java.io.IOException: java.io.IOException: Connection reset by peer; Host Details : local host is: "fr-c02qg3lnfvh7/192.168.69.142"; destination host is: "XXXX";
at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:773)
at org.apache.hadoop.ipc.Client.call(Client.java:1479)
at org.apache.hadoop.ipc.Client.call(Client.java:1412)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
at com.sun.proxy.$Proxy16.getNewApplication(Unknown Source)
at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.getNewApplication(ApplicationClientProtocolPBClientImpl.java:221)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
at com.sun.proxy.$Proxy17.getNewApplication(Unknown Source)
at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.getNewApplication(YarnClientImpl.java:219)
at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.createApplication(YarnClientImpl.java:227)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:157)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:56)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:149)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:497)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2275)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)
at org.apache.spark.repl.Main$.createSparkSession(Main.scala:101)
at $line3.$read$$iw$$iw.<init>(<console>:15)
at $line3.$read$$iw.<init>(<console>:31)
at $line3.$read.<init>(<console>:33)
at $line3.$read$.<init>(<console>:37)
at $line3.$read$.<clinit>(<console>)
at $line3.$eval$.$print$lzycompute(<console>:7)
at $line3.$eval$.$print(<console>:6)
at $line3.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)
at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)
at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)
at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)
at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)
at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)
at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)
at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)
at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)
at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)
at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)
at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:94)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)
at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)
at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)
at org.apache.spark.repl.Main$.doMain(Main.scala:68)
at org.apache.spark.repl.Main$.main(Main.scala:51)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.io.IOException: java.io.IOException: Connection reset by peer
at org.apache.hadoop.ipc.Client$Connection$1.run(Client.java:687)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
at org.apache.hadoop.ipc.Client$Connection.handleSaslConnectionFailure(Client.java:650)
at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:737)
at org.apache.hadoop.ipc.Client$Connection.access$2900(Client.java:375)
at org.apache.hadoop.ipc.Client.getConnection(Client.java:1528)
at org.apache.hadoop.ipc.Client.call(Client.java:1451)
Is there any configuration that I am missing? DO i have to start any yarn service locally?
Thanks

Could not instantiate implementation: com.thinkaurelius.titan.diskstorage.cassandra.thrift.CassandraThriftStoreManager

I have downloaded Titan from the link
[https://github.com/thinkaurelius/titan/wiki/Downloads]
and I started Titan using titan.sh start.
Got this:
Forking Cassandra...
Running nodetool statusthrift... OK (returned exit status 0 and printed string "running").
Forking Elasticsearch...
Connecting to Elasticsearch (127.0.0.1:9300)..... OK (connected to 127.0.0.1:9300).
Forking Gremlin-Server...
Connecting to Gremlin-Server (127.0.0.1:8182)..... OK (connected to 127.0.0.1:8182).
Run gremlin.sh to connect.
Started gremlin shell using gremlin.sh , gemlin shell has started .
But when I ran the below command , i got the below error..
gremlin> graph = TitanFactory.open('conf/titan-cassandra-es.properties')
Could not instantiate implementation: com.thinkaurelius.titan.diskstorage.cassandra.thrift.CassandraThriftStoreManager
Display stack trace? [yN] y
java.lang.IllegalArgumentException: Could not instantiate implementation: com.thinkaurelius.titan.diskstorage.cassandra.thrift.CassandraThriftStoreManager
at com.thinkaurelius.titan.util.system.ConfigurationUtil.instantiate(ConfigurationUtil.java:55)
at com.thinkaurelius.titan.diskstorage.Backend.getImplementationClass(Backend.java:473)
at com.thinkaurelius.titan.diskstorage.Backend.getStorageManager(Backend.java:407)
at com.thinkaurelius.titan.graphdb.configuration.GraphDatabaseConfiguration.<init>(GraphDatabaseConfiguration.java:1320)
at com.thinkaurelius.titan.core.TitanFactory.open(TitanFactory.java:94)
at com.thinkaurelius.titan.core.TitanFactory.open(TitanFactory.java:62)
at com.thinkaurelius.titan.core.TitanFactory$open.call(Unknown Source)
at org.codehaus.groovy.runtime.callsite.CallSiteArray.defaultCall(CallSiteArray.java:45)
at org.codehaus.groovy.runtime.callsite.AbstractCallSite.call(AbstractCallSite.java:110)
at org.codehaus.groovy.runtime.callsite.AbstractCallSite.call(AbstractCallSite.java:122)
at groovysh_evaluate.run(groovysh_evaluate:3)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.codehaus.groovy.tools.shell.Interpreter.evaluate(Interpreter.groovy:69)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.codehaus.groovy.tools.shell.Groovysh.execute(Groovysh.groovy:185)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.codehaus.groovy.tools.shell.Shell.leftShift(Shell.groovy:119)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.codehaus.groovy.tools.shell.ShellRunner.work(ShellRunner.groovy:94)
at org.codehaus.groovy.tools.shell.InteractiveShellRunner.super$2$work(InteractiveShellRunner.groovy)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.codehaus.groovy.reflection.CachedMethod.invoke(CachedMethod.java:90)
at groovy.lang.MetaMethod.doMethodInvoke(MetaMethod.java:324)
at groovy.lang.MetaClassImpl.invokeMethod(MetaClassImpl.java:1207)
at org.codehaus.groovy.runtime.ScriptBytecodeAdapter.invokeMethodOnSuperN(ScriptBytecodeAdapter.java:130)
at org.codehaus.groovy.runtime.ScriptBytecodeAdapter.invokeMethodOnSuper0(ScriptBytecodeAdapter.java:150)
at org.codehaus.groovy.tools.shell.InteractiveShellRunner.work(InteractiveShellRunner.groovy:123)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.codehaus.groovy.tools.shell.ShellRunner.run(ShellRunner.groovy:58)
at org.codehaus.groovy.tools.shell.InteractiveShellRunner.super$2$run(InteractiveShellRunner.groovy)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.codehaus.groovy.reflection.CachedMethod.invoke(CachedMethod.java:90)
at groovy.lang.MetaMethod.doMethodInvoke(MetaMethod.java:324)
at groovy.lang.MetaClassImpl.invokeMethod(MetaClassImpl.java:1207)
at org.codehaus.groovy.runtime.ScriptBytecodeAdapter.invokeMethodOnSuperN(ScriptBytecodeAdapter.java:130)
at org.codehaus.groovy.runtime.ScriptBytecodeAdapter.invokeMethodOnSuper0(ScriptBytecodeAdapter.java:150)
at org.codehaus.groovy.tools.shell.InteractiveShellRunner.run(InteractiveShellRunner.groovy:82)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.apache.tinkerpop.gremlin.console.Console.<init>(Console.groovy:144)
at org.codehaus.groovy.vmplugin.v7.IndyInterface.selectMethod(IndyInterface.java:215)
at org.apache.tinkerpop.gremlin.console.Console.main(Console.groovy:303)
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 com.thinkaurelius.titan.util.system.ConfigurationUtil.instantiate(ConfigurationUtil.java:44)
... 46 more
Caused by: com.thinkaurelius.titan.diskstorage.TemporaryBackendException: Temporary failure in storage backend
at com.thinkaurelius.titan.diskstorage.cassandra.thrift.CassandraThriftStoreManager.getCassandraPartitioner(CassandraThriftStoreManager.java:208)
at com.thinkaurelius.titan.diskstorage.cassandra.thrift.CassandraThriftStoreManager.<init>(CassandraThriftStoreManager.java:186)
... 51 more
If any one knows about this please tell If i miss any configuration changes
update 1:
GREMLIN SERVER Log:
24245 [main] WARN org.apache.tinkerpop.gremlin.server.GremlinServer - Graph [graph] configured at [conf/gremlin-server/titan-berkeleyje-server.properties] could not be instantiated and will not be available in Gremlin Server. GraphFactory message: GraphFactory could not instantiate this Graph implementation [class com.thinkaurelius.titan.core.TitanFactory]
java.lang.RuntimeException: GraphFactory could not instantiate this Graph implementation [class com.thinkaurelius.titan.core.TitanFactory]
at org.apache.tinkerpop.gremlin.structure.util.GraphFactory.open(GraphFactory.java:82)
at org.apache.tinkerpop.gremlin.structure.util.GraphFactory.open(GraphFactory.java:70)
at org.apache.tinkerpop.gremlin.structure.util.GraphFactory.open(GraphFactory.java:104)
at org.apache.tinkerpop.gremlin.server.GraphManager.lambda$new$27(GraphManager.java:50)
at java.util.LinkedHashMap$LinkedEntrySet.forEach(LinkedHashMap.java:671)
at org.apache.tinkerpop.gremlin.server.GraphManager.<init>(GraphManager.java:48)
at org.apache.tinkerpop.gremlin.server.util.ServerGremlinExecutor.<init>(ServerGremlinExecutor.java:94)
at org.apache.tinkerpop.gremlin.server.GremlinServer.<init>(GremlinServer.java:88)
at org.apache.tinkerpop.gremlin.server.GremlinServer.main(GremlinServer.java:290)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.tinkerpop.gremlin.structure.util.GraphFactory.open(GraphFactory.java:78)
... 8 more
Caused by: java.lang.IllegalArgumentException: Could not instantiate implementation: com.thinkaurelius.titan.diskstorage.cassandra.astyanax.AstyanaxStoreManager
at com.thinkaurelius.titan.util.system.ConfigurationUtil.instantiate(ConfigurationUtil.java:55)
at com.thinkaurelius.titan.diskstorage.Backend.getImplementationClass(Backend.java:473)
at com.thinkaurelius.titan.diskstorage.Backend.getStorageManager(Backend.java:407)
at com.thinkaurelius.titan.graphdb.configuration.GraphDatabaseConfiguration.<init>(GraphDatabaseConfiguration.java:1320)
at com.thinkaurelius.titan.core.TitanFactory.open(TitanFactory.java:94)
at com.thinkaurelius.titan.core.TitanFactory.open(TitanFactory.java:74)
... 13 more
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 com.thinkaurelius.titan.util.system.ConfigurationUtil.instantiate(ConfigurationUtil.java:44)
... 18 more
Caused by: com.thinkaurelius.titan.diskstorage.TemporaryBackendException: Temporary failure in storage backend
at com.thinkaurelius.titan.diskstorage.cassandra.astyanax.AstyanaxStoreManager.ensureKeyspaceExists(AstyanaxStoreManager.java:572)
at com.thinkaurelius.titan.diskstorage.cassandra.astyanax.AstyanaxStoreManager.<init>(AstyanaxStoreManager.java:291)
... 23 more
Caused by: com.netflix.astyanax.connectionpool.exceptions.PoolTimeoutException: PoolTimeoutException: [host=127.0.0.1(127.0.0.1):9160, latency=10005(10005), attempts=1]Timed out waiting for connection
at com.netflix.astyanax.connectionpool.impl.SimpleHostConnectionPool.waitForConnection(SimpleHostConnectionPool.java:231)
at com.netflix.astyanax.connectionpool.impl.SimpleHostConnectionPool.borrowConnection(SimpleHostConnectionPool.java:198)
at com.netflix.astyanax.connectionpool.impl.RoundRobinExecuteWithFailover.borrowConnection(RoundRobinExecuteWithFailover.java:84)
at com.netflix.astyanax.connectionpool.impl.AbstractExecuteWithFailoverImpl.tryOperation(AbstractExecuteWithFailoverImpl.java:117)
at com.netflix.astyanax.connectionpool.impl.AbstractHostPartitionConnectionPool.executeWithFailover(AbstractHostPartitionConnectionPool.java:352)
at com.netflix.astyanax.thrift.ThriftClusterImpl.executeSchemaChangeOperation(ThriftClusterImpl.java:146)
at com.netflix.astyanax.thrift.ThriftClusterImpl.internalCreateKeyspace(ThriftClusterImpl.java:321)
at com.netflix.astyanax.thrift.ThriftClusterImpl.addKeyspace(ThriftClusterImpl.java:294)
at com.thinkaurelius.titan.diskstorage.cassandra.astyanax.AstyanaxStoreManager.ensureKeyspaceExists(AstyanaxStoreManager.java:567)
... 24 more
It looks like your Cassandra cluster/node isn't running correctly. I've never used titan.sh but I'd probably look to verify that Cassandra is booting cleanly and staying up.
The message in the log file indicates that the Gremlin Server tried to instantiate a graph configured in conf/gremlin-server/titan-berkeleyje-server.properties. This is probably configured in your gremlin-server.yaml file under graphs->graph.
You already stated in your question that you want to use a graph configured in conf/titan-cassandra-es.properties. So just change that in the gremlin-server.yaml.

Spark-sql: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient

After quite some time, can't figure out how to identify root cause of below error when running spark-sql binary:
15/12/08 14:48:41 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:346)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:109)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:665)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:170)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:193)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:112)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1412)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:62)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:72)
at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:2453)
at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:2465)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:340)
... 11 more
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:422)
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1410)
... 16 more
Caused by: javax.jdo.JDOFatalUserException: Class org.datanucleus.api.jdo.JDOPersistenceManagerFactory was not found.
NestedThrowables:
java.lang.ClassNotFoundException: org.datanucleus.api.jdo.JDOPersistenceManagerFactory
at javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1175)
at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:808)
at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:701)
at org.apache.hadoop.hive.metastore.ObjectStore.getPMF(ObjectStore.java:310)
at org.apache.hadoop.hive.metastore.ObjectStore.getPersistenceManager(ObjectStore.java:339)
at org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:248)
at org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:223)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:73)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
at org.apache.hadoop.hive.metastore.RawStoreProxy.<init>(RawStoreProxy.java:58)
at org.apache.hadoop.hive.metastore.RawStoreProxy.getProxy(RawStoreProxy.java:67)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:497)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.getMS(HiveMetaStore.java:475)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:523)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:397)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.<init>(HiveMetaStore.java:356)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:54)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:59)
at org.apache.hadoop.hive.metastore.HiveMetaStore.newHMSHandler(HiveMetaStore.java:4944)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:171)
... 21 more
Caused by: java.lang.ClassNotFoundException: org.datanucleus.api.jdo.JDOPersistenceManagerFactory
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at javax.jdo.JDOHelper$18.run(JDOHelper.java:2018)
at javax.jdo.JDOHelper$18.run(JDOHelper.java:2016)
at java.security.AccessController.doPrivileged(Native Method)
at javax.jdo.JDOHelper.forName(JDOHelper.java:2015)
at javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1162)
... 40 more
You are missing datanucleus-api-jdo.jar in your class path. This jar is used by hive. Try to figure out which version of this jar you need (probably latest will do). You can download it then from here: http://repo1.maven.org/maven2/org/datanucleus/datanucleus-api-jdo/
And add it to hive permanently by adding this to your .hiverc file:
add jar datanucleus-api-jdo.jar
For spark versions > 2.0, you can approach below solutions:
Make sure the $HIVE_HOME/conf/hive-site.xml configuration which is pointing to complete path of metastore.
javax.jdo.option.ConnectionURL
jdbc:derby:;databaseName=/home/hive/metastore_db;create=true
JDBC connect string for a JDBC metastore
Place the hive-site.xml file in $SPARK_HOME/confto point SparkR to the same metastore as Hive Hope this solves your issue.

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