Under cloudera distribution, I have configured HIVE ON SPARK according to the online documentation.
When trying to execute a simple query for testing:
beeline -u "jdbc:hive2://<HOST_NAME>.<DOMAIN>:10000/default" -n mehditazi -p <PASSWORD> -e "SET hive.execution.engine=spark;SET spark.dynamicAllocation.enabled=true;SET spark.executor.memory=4g;SET spark.executor.cores=4;SET hive.spark.client.connect.timeout=5000;select count(*) from default.sample_07";
I get the following errors :
<== ON HUE I GET ==>
Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.spark.SparkTask
<== ON HIVE I GET ==>
2018-05-31 18:29:51,625 WARN [main] mapreduce.TableMapReduceUtil: The hbase-prefix-tree module jar containing PrefixTreeCodec is not present. Continuing without it.
scan complete in 3ms
Connecting to jdbc:hive2://<HOST_NAME>.<DOMAIN>:10000/default
Connected to: Apache Hive (version 1.1.0-cdh5.8.0)
Driver: Hive JDBC (version 1.1.0-cdh5.8.0)
Transaction isolation: TRANSACTION_REPEATABLE_READ
No rows affected (0.101 seconds)
No rows affected (0.005 seconds)
No rows affected (0.005 seconds)
No rows affected (0.005 seconds)
No rows affected (0.005 seconds)
INFO : Compiling command(queryId=hive_20180531182929_1e4bd43e-df8a-4b87-b898-dc73eebfbda3): select count(*) from default.sample_07
INFO : Semantic Analysis Completed
INFO : Returning Hive schema: Schema(fieldSchemas:[FieldSchema(name:_c0, type:bigint, comment:null)], properties:null)
INFO : Completed compiling command(queryId=hive_20180531182929_1e4bd43e-df8a-4b87-b898-dc73eebfbda3); Time taken: 0.463 seconds
INFO : Executing command(queryId=hive_20180531182929_1e4bd43e-df8a-4b87-b898-dc73eebfbda3): select count(*) from default.sample_07
INFO : Query ID = hive_20180531182929_1e4bd43e-df8a-4b87-b898-dc73eebfbda3
INFO : Total jobs = 1
INFO : Launching Job 1 out of 1
INFO : Starting task [Stage-1:MAPRED] in serial mode
INFO : In order to change the average load for a reducer (in bytes):
INFO : set hive.exec.reducers.bytes.per.reducer=<number>
INFO : In order to limit the maximum number of reducers:
INFO : set hive.exec.reducers.max=<number>
INFO : In order to set a constant number of reducers:
INFO : set mapreduce.job.reduces=<number>
ERROR : Failed to execute spark task, with exception 'org.apache.hadoop.hive.ql.metadata.HiveException(Failed to create spark client.)'
org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create spark client.
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:64)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionManagerImpl.getSession(SparkSessionManagerImpl.java:114)
at org.apache.hadoop.hive.ql.exec.spark.SparkUtilities.getSparkSession(SparkUtilities.java:125)
at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:97)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1782)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1539)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1318)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1127)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1120)
at org.apache.hive.service.cli.operation.SQLOperation.runQuery(SQLOperation.java:178)
at org.apache.hive.service.cli.operation.SQLOperation.access$100(SQLOperation.java:72)
at org.apache.hive.service.cli.operation.SQLOperation$2$1.run(SQLOperation.java:232)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hive.service.cli.operation.SQLOperation$2.run(SQLOperation.java:245)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
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)
Caused by: java.lang.RuntimeException: java.util.concurrent.ExecutionException: java.util.concurrent.TimeoutException: Timed out waiting for client connection.
at com.google.common.base.Throwables.propagate(Throwables.java:156)
at org.apache.hive.spark.client.SparkClientImpl.<init>(SparkClientImpl.java:120)
at org.apache.hive.spark.client.SparkClientFactory.createClient(SparkClientFactory.java:80)
at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient.createRemoteClient(RemoteHiveSparkClient.java:99)
at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient.<init>(RemoteHiveSparkClient.java:95)
at org.apache.hadoop.hive.ql.exec.spark.HiveSparkClientFactory.createHiveSparkClient(HiveSparkClientFactory.java:65)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:62)
... 22 more
Caused by: java.util.concurrent.ExecutionException: java.util.concurrent.TimeoutException: Timed out waiting for client connection.
at io.netty.util.concurrent.AbstractFuture.get(AbstractFuture.java:37)
at org.apache.hive.spark.client.SparkClientImpl.<init>(SparkClientImpl.java:104)
... 27 more
Caused by: java.util.concurrent.TimeoutException: Timed out waiting for client connection.
at org.apache.hive.spark.client.rpc.RpcServer$2.run(RpcServer.java:141)
at io.netty.util.concurrent.PromiseTask$RunnableAdapter.call(PromiseTask.java:38)
at io.netty.util.concurrent.ScheduledFutureTask.run(ScheduledFutureTask.java:120)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
... 1 more
ERROR : Failed to execute spark task, with exception 'org.apache.hadoop.hive.ql.metadata.HiveException(Failed to create spark client.)'
org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create spark client.
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:64)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionManagerImpl.getSession(SparkSessionManagerImpl.java:114)
at org.apache.hadoop.hive.ql.exec.spark.SparkUtilities.getSparkSession(SparkUtilities.java:125)
at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:97)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1782)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1539)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1318)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1127)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1120)
at org.apache.hive.service.cli.operation.SQLOperation.runQuery(SQLOperation.java:178)
at org.apache.hive.service.cli.operation.SQLOperation.access$100(SQLOperation.java:72)
at org.apache.hive.service.cli.operation.SQLOperation$2$1.run(SQLOperation.java:232)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1693)
at org.apache.hive.service.cli.operation.SQLOperation$2.run(SQLOperation.java:245)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.RuntimeException: java.util.concurrent.ExecutionException: java.util.concurrent.TimeoutException: Timed out waiting for client connection.
at com.google.common.base.Throwables.propagate(Throwables.java:156)
at org.apache.hive.spark.client.SparkClientImpl.<init>(SparkClientImpl.java:120)
at org.apache.hive.spark.client.SparkClientFactory.createClient(SparkClientFactory.java:80)
at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient.createRemoteClient(RemoteHiveSparkClient.java:99)
at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient.<init>(RemoteHiveSparkClient.java:95)
at org.apache.hadoop.hive.ql.exec.spark.HiveSparkClientFactory.createHiveSparkClient(HiveSparkClientFactory.java:65)
at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:62)
... 22 more
After investigation it's a bug which will be fixed in HIVE-10594[1].
Related
I need help please getting spark working in windows cluster of 3 nodes. I am able to download and configure and run the master node and worker nodes. the worker nodes are registered successfully with the master. Im able to see both worker nodes in the Master UI. When I try to submit a job using:
spark-submit --master spark://IP:7077 hello_world.py
Spark continuously try to start multiple executors but the all failed with code exit 1 and it doesnt stop until I kill it. when I check the log in the UI for each worker Im seeing the following error:
Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1894)
at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:61)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:424)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:413)
at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:301)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:102)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$9(CoarseGrainedExecutorBackend.scala:444)
at scala.runtime.java8.JFunction1$mcVI$sp.apply(JFunction1$mcVI$sp.java:23)
at scala.collection.TraversableLike$WithFilter.$anonfun$foreach$1(TraversableLike.scala:985)
at scala.collection.immutable.Range.foreach(Range.scala:158)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:984)
at org.apache.spark.executor.CoarseGrainedExecutorBackend$.$anonfun$run$7(CoarseGrainedExecutorBackend.scala:442)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:62)
at org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:61)
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:1878)
... 4 more
**Caused by: java.io.IOException: Failed to connect to <Master DNS>/<Master IP>:56785
at **org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:288)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:218)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:230)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:204)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:202)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:198)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: no further information: <Master DNS>/<Master IP>:56785
Caused by: java.net.ConnectException: Connection refused: no further information
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:715)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:710)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:658)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:584)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:496)
at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:986)
at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.lang.Thread.run(Thread.java:748)
Im using Spark: spark-3.3.1-bin-hadoop3
Please help.
Thanks
The application to run
As per the official spark documentation we can check the status using
spark-submit --master spark://IP-ADDRESS:PORT --status SUBMISSION_ID
However when I tried using the same it was not able to establish a connection.
The master URL and the PORT is valid and my spark is running in standalone cluster with default config.
spark-submit --master spark://10.xx.xx8.xx5:7077 --status driver-20191119160551-0003
19/11/19 17:45:10 WARN RestSubmissionClient: Unable to connect to server spark://10.xx.xx8.xx5:7077.
Exception in thread "main" org.apache.spark.deploy.rest.SubmitRestConnectionException: Unable to connect to server
at org.apache.spark.deploy.rest.RestSubmissionClient$$anonfun$requestSubmissionStatus$3.apply(RestSubmissionClient.scala:165)
at org.apache.spark.deploy.rest.RestSubmissionClient$$anonfun$requestSubmissionStatus$3.apply(RestSubmissionClient.scala:148)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at org.apache.spark.deploy.rest.RestSubmissionClient.requestSubmissionStatus(RestSubmissionClient.scala:148)
at org.apache.spark.deploy.SparkSubmit.requestStatus(SparkSubmit.scala:111)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:88)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:920)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:929)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.deploy.rest.SubmitRestConnectionException: No response from server
at org.apache.spark.deploy.rest.RestSubmissionClient.readResponse(RestSubmissionClient.scala:285)
at org.apache.spark.deploy.rest.RestSubmissionClient.org$apache$spark$deploy$rest$RestSubmissionClient$$get(RestSubmissionClient.scala:195)
at org.apache.spark.deploy.rest.RestSubmissionClient$$anonfun$requestSubmissionStatus$3.apply(RestSubmissionClient.scala:152)
... 11 more
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10 seconds]
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:223)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:227)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:190)
at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:190)
at org.apache.spark.deploy.rest.RestSubmissionClient.readResponse(RestSubmissionClient.scala:278)
... 13 more
I am running a spark application on yarn, which my goal is do some ETL from jdbc to elasticsearch.
However, when I check the log ,there is some errors like,this error is due to network problem :
17/12/01 00:35:19 WARN scheduler.TaskSetManager: Lost task 1317.0 in stage 0.0 (TID 1381, worker50.hadoop, executor 1): org.apache.spark.util.TaskCompletionListenerException: Connection error (check network and/or proxy settings)- all nodes failed; tried [[192.168.200.154:8201, 192.168.200.156:9200, 192.168.200.155:8201]]
at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:138)
at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:116)
at org.apache.spark.scheduler.Task.run(Task.scala:124)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
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)
This means that connection failed and lost some data in this process.The job finalStatus should be failed, but spark returned me with {"state":"FINISHED","finalStatus":"SUCCEEDED"}
WHY? My spark version is 2.2.0
I am trying to test Zeppelin 0.6.2 with a Spark 2.0.1 installed in a Windows Server 2012.
I started the Spark master and tested the Spark Shell.
Then I configured the following in the conf\zeppeling-env.cmd file:
set SPARK_HOME=C:\spark-2.0.1-bin-hadoop2.7
set MASTER=spark://100.79.240.26:7077
I have not set the HADOOP_CONF_DIR and SPARK_SUBMIT_OPTIONS (that is optional according to the documentation)
I checked the values in the Interpreter configuration page and the spark master is Ok.
When I run the Zeppelin tutorial --> "Load data into table" note I am getting a connection refused error. Here is part of the messages in the error log:
INFO [2016-11-17 21:58:12,518] ({pool-1-thread-11} Paragraph.java[jobRun]:252) - run paragraph 20150210-015259_1403135953 using null org.apache.zeppelin.interpreter.LazyOpenInterpreter#8bbfd7
INFO [2016-11-17 21:58:12,518] ({pool-1-thread-11} RemoteInterpreterProcess.java[reference]:148) - Run interpreter process [C:\zeppelin-0.6.2-bin-all\bin\interpreter.cmd, -d, C:\zeppelin-0.6.2-bin-all\interpreter\spark, -p, 50163, -l, C:\zeppelin-0.6.2-bin-all/local-repo/2C3FBS414]
INFO [2016-11-17 21:58:12,614] ({Exec Default Executor} RemoteInterpreterProcess.java[onProcessFailed]:288) - Interpreter process failed {}
org.apache.commons.exec.ExecuteException: Process exited with an error: 255 (Exit value: 255)
at org.apache.commons.exec.DefaultExecutor.executeInternal(DefaultExecutor.java:404)
at org.apache.commons.exec.DefaultExecutor.access$200(DefaultExecutor.java:48)
at org.apache.commons.exec.DefaultExecutor$1.run(DefaultExecutor.java:200)
at java.lang.Thread.run(Thread.java:745)
ERROR [2016-11-17 21:58:43,846] ({Thread-49} RemoteScheduler.java[getStatus]:255) - Can't get status information
org.apache.zeppelin.interpreter.InterpreterException: org.apache.thrift.transport.TTransportException: java.net.ConnectException: Connection refused: connect
at org.apache.zeppelin.interpreter.remote.ClientFactory.create(ClientFactory.java:53)
at org.apache.zeppelin.interpreter.remote.ClientFactory.create(ClientFactory.java:37)
at org.apache.commons.pool2.BasePooledObjectFactory.makeObject(BasePooledObjectFactory.java:60)
at org.apache.commons.pool2.impl.GenericObjectPool.create(GenericObjectPool.java:861)
at org.apache.commons.pool2.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:435)
at org.apache.commons.pool2.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:363)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterProcess.getClient(RemoteInterpreterProcess.java:189)
at org.apache.zeppelin.scheduler.RemoteScheduler$JobStatusPoller.getStatus(RemoteScheduler.java:253)
at org.apache.zeppelin.scheduler.RemoteScheduler$JobStatusPoller.run(RemoteScheduler.java:211)
Caused by: org.apache.thrift.transport.TTransportException: java.net.ConnectException: Connection refused: connect
at org.apache.thrift.transport.TSocket.open(TSocket.java:187)
at org.apache.zeppelin.interpreter.remote.ClientFactory.create(ClientFactory.java:51)
... 8 more
Caused by: java.net.ConnectException: Connection refused: connect
at java.net.DualStackPlainSocketImpl.connect0(Native Method)
at java.net.DualStackPlainSocketImpl.socketConnect(DualStackPlainSocketImpl.java:79)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
at java.net.PlainSocketImpl.connect(PlainSocketImpl.java:172)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:579)
at org.apache.thrift.transport.TSocket.open(TSocket.java:182)
... 9 more
ERROR [2016-11-17 21:58:43,846] ({pool-1-thread-11} Job.java[run]:189) - Job failed
org.apache.zeppelin.interpreter.InterpreterException: org.apache.zeppelin.interpreter.InterpreterException: org.apache.thrift.transport.TTransportException: java.net.ConnectException: Connection refused: connect
at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.init(RemoteInterpreter.java:165)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreter.getFormType(RemoteInterpreter.java:328)
at org.apache.zeppelin.interpreter.LazyOpenInterpreter.getFormType(LazyOpenInterpreter.java:105)
at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:260)
at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
at org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:328)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)
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)
In the Zeppelin logs there is only one file for zeppelin, the interpreter is an external Spark installation, which is not logging any error because it is never reached by the interpreter process.
I read some suggestion about the max and min memory of the JVM but I could not fix it yet.
Any comment will be appreciated.
Paul
I am running a spark streaming application with spark version 1.4.0
If I kill the worker (using kill -9) when my job is running, then the worker and executor both on that node dies,but it still shows up in the executors tab of the UI. The number of active tasks sometimes shows as negative on those executors.
Because of this the jobs keep on failing with the following exception
16/04/01 23:54:20 WARN TaskSetManager: Lost task 141.0 in stage 19859.0 (TID 190333, 192.168.33.96): java.io.IOException: Failed to connect to /192.168.33.97:63276
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:88)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.access$200(RetryingBlockFetcher.java:43)
at org.apache.spark.network.shuffle.RetryingBlockFetcher$1.run(RetryingBlockFetcher.java:170)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused: /192.168.33.97:63276
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:716)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:208)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:287)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
... 1 more
On relaunching the worker a new executor is allocated but the old (dead) executor's entry is still there and the stages fail with "java.io.IOException: Failed to connect to " error.