Apache Zeppelin giving error with spark on different machines - apache-spark

I have a local spark cluster setup with one master and one slave machine. I installed Zeppelin on more machine and trying to run some commands from Zeppelin to spark master machine. For that I have created a spark interpreter with master as spark://<ip>:7077
When I run sc command
It gives this error
java.net.ConnectException: Connection refused at
java.net.PlainSocketImpl.socketConnect(Native Method) 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.SocksSocketImpl.connect(SocksSocketImpl.java:392) at
java.net.Socket.connect(Socket.java:579) at
org.apache.thrift.transport.TSocket.open(TSocket.java:182) at
org.apache.zeppelin.interpreter.remote.ClientFactory.create(ClientFactory.java:51)
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:139)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreter.interpret(RemoteInterpreter.java:192)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:207)
at org.apache.zeppelin.scheduler.Job.run(Job.java:170) at
org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:304)
at
java.util.concurrent.Executors$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)
I can telnet port 7077 from zeppelin machine. Also this is my local vm machine so should not be issue with firewall, also disable all firewall.
Please let me know the issue.

Perhaps you can go thorough the bug reported here https://issues.apache.org/jira/browse/ZEPPELIN-305 .
Taking an excerpt from that bug
I faced the same issue when I try to use Spark 1.5.1 under the latest version (0.6.0) of Zeppelin.
Following Dongjoon Hyun's suggestion, I set ZEPPELIN_MEM as -Xmx4g (the same value as SPARK_DRIVER_MEMORY in spark/conf/spark-env.sh) in zeppelin/conf/zeppelin-env.sh
export ZEPPELIN_MEM=-Xmx4g
As a result, the java.net.ConnectException problem is solved. Thanks!

Related

How to handle dynamic port in Apache Spark / Hadoop Yarn

I have setup a Hadoop cluster with 1 name node and 2 data nodes. I've also installed Yarn and Spark on top of that in the name node.
I notice that whenever I try run the example jar here:
spark-submit --deploy-mode cluster --class org.apache.spark.examples.SparkPi $SPARK_HOME/examples/jars/spark-examples_*.jar 10
I will always get the no route to host exception:
Uncaught exception: org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.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.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:110)
at org.apache.spark.deploy.yarn.ApplicationMaster.runExecutorLauncher(ApplicationMaster.scala:558)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:277)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:926)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:925)
at java.base/java.security.AccessController.doPrivileged(Native Method)
at java.base/javax.security.auth.Subject.doAs(Subject.java:423)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1878)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:925)
at org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster.scala:957)
at org.apache.spark.deploy.yarn.ExecutorLauncher.main(ApplicationMaster.scala)
Caused by: java.io.IOException: Failed to connect to lnx-pen205/xx.xx.xx.xx:9222
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$1.call(Outbox.scala:198)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: io.netty.channel.AbstractChannel$AnnotatedNoRouteToHostException: No route to host: lnx-pen205/xx.xx.xx.xx:9222
Caused by: java.net.NoRouteToHostException: No route to host
at java.base/sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at java.base/sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:777)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:330)
at io.netty.channel.nio.AbstractNioChannel$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.base/java.lang.Thread.run(Thread.java:829)
I noticed that the port being used will be randomly assigned during the runtime, the example .jar will work if for example I set the spark.driver.port as 9222 then opening said port with the firewall. But then if any other session is started (for example, pyspark shell), it wouldn't start as the port is already in use.
My question is: How do I allow connections to the ports dynamically defined by Spark/Yarn? I read somewhere that I should disable the firewall, but that does not sound like a good idea.. Thanks in advance.
There's spark.driver.port as well as spark.driver.blockManager.port. Both are starting ranges to spark.port.maxRetries (default 16).
So, you'll need to open at least 32 ports for these.
I did some testing with dynamic Spark ports in Mesos + Docker a few years ago - https://stackoverflow.com/a/56486271/2308683

Apache Zeppelin - Zeppelin tutorial failed to create interpreter - Connection refused

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

Spark ec2 web services start up error

I am starting spark cluster in amazon EC2. In web UI I could see 2 instances(1 master and 1 slave) running and I am able to ssh to those instances. I opened up port 7077 inbound. When I try to launch the spark shell using the below command, I am getting an error. Any help would be appreciated.
spark-shell --master spark://ec2-54-173-210-192.compute-1.amazonaws.com:7077
Logs:
java.io.IOException: Failed to connect to ec2-54-173-210-192.compute-1.amazonaws.com/54.173.210.192:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused: ec2-54-173-210-192.compute-1.amazonaws.com/54.173.210.192:7077
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
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:111)
... 1 more
Not really solving the problem but just a suggestion: If you want a Spark cluster on Amazon, try Spark on Amazon EMR before EC2. EMR lets you launch a managed cluster of any size to which Spark can be added as a preinstalled application. No need to configure hosts/ports yourself.

Intellij connect hortonwork spark remotely failed

I have a hortonwork sandbox 2.4 with spark 1.6 set up. Then I create Intellij spark development environment in windows using hdp spark jar and scala 2.10.5. So both spark and scala version are matched between my windows and hdp environment as indicated here. And my Intellij dev environment works with local as Master.
Then I'm trying to connect hdp in windows using
val sparkConf = new SparkConf()
.setAppName("spark-word-count")
.setMaster("spark://10.33.241.160:7077")
And I get below error information and have no clue to resolve it. Please help!
6/03/21 16:27:40 INFO SparkUI: Started SparkUI at http://10.33.240.126:4040
16/03/21 16:27:40 INFO AppClient$ClientEndpoint: Connecting to master spark://10.33.241.160:7077...
16/03/21 16:27:41 WARN AppClient$ClientEndpoint: Failed to connect to master 10.33.241.160:7077
java.io.IOException: Failed to connect to /10.33.241.160:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:216)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:167)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:200)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:183)
at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:334)
at java.util.concurrent.FutureTask.run(FutureTask.java:166)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:722)
Caused by: java.net.ConnectException: Connection refused: no further information: /10.33.241.160:7077
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:692)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
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$2.run(SingleThreadEventExecutor.java:111)
... 1 more
16/03/21 16:28:40 ERROR MapOutputTrackerMaster: Error communicating with MapOutputTracker
java.lang.InterruptedException
at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1325)
at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:107)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
at org.apache.spark.MapOutputTracker.askTracker(MapOutputTracker.scala:110)
at org.apache.spark.MapOutputTracker.sendTracker(MapOutputTracker.scala:120)
at org.apache.spark.MapOutputTrackerMaster.stop(MapOutputTracker.scala:462)
at org.apache.spark.SparkEnv.stop(SparkEnv.scala:93)
at org.apache.spark.SparkContext$$anonfun$stop$12.apply$mcV$sp(SparkContext.scala:1756)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1229)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1755)
at org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:127)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint.markDead(AppClient.scala:264)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2$$anonfun$run$1.apply$mcV$sp(AppClient.scala:134)
at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1163)
at org.apache.spark.deploy.client.AppClient$ClientEndpoint$$anon$2.run(AppClient.scala:129)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask$Sync.innerRunAndReset(FutureTask.java:351)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:178)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
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:722)
It turns out I need to setup my hortonworks Spark as master server every time server restart. Then use my intellij dev environment to connect with hdp as slave. Just run ./sbin/start-master.sh in hdp as this link.

zeppelin with spark 1.5.2 standalone cluster error

I have downloaded the Zeppelin 0.5.5 binary into a redhat 6.3 instance. I have also built spark 1.5.2 successfully. Now, I would like to have zeppelin use that spark version instead of the precompiled one that comes with zeppelin.
For that, I have edited conf/ so that it contains only this uncommented line:
export SPARK_HOME=/home/eron/spark-1.5.2/
I have also edited the zeppelin GUI so that now I have Master set:
master = spark://master:7077
I then hit restart and tried to go through the tutorial again:
val bankText = sc.textFile("/mnt/zeppelin-0.5.5-incubating-bin-all/bank.csv")
org.apache.thrift.transport.TTransportException at
org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at
org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:429)
at
org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:318)
at
org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:219)
at
org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:69)
at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Client.recv_interpret(RemoteInterpreterService.java:220)
at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$Client.interpret(RemoteInterpreterService.java:205)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreter.interpret(RemoteInterpreter.java:211)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:207)
at org.apache.zeppelin.scheduler.Job.run(Job.java:170) at
org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:304)
at
java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Also, just doing
sc
yields:
java.net.ConnectException: Connection refused at
java.net.PlainSocketImpl.socketConnect(Native Method) at
java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:339)
at
java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:200)
at
java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:182)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392) at
java.net.Socket.connect(Socket.java:579) at
org.apache.thrift.transport.TSocket.open(TSocket.java:182) at
org.apache.zeppelin.interpreter.remote.ClientFactory.create(ClientFactory.java:51)
at
org.apache.zeppelin.interpreter.remote.ClientFactory.create(ClientFactory.java:37)
at
org.apache.commons.pool2.BasePooledObjectFactory.makeObject(BasePooledObjectFactory.java:60)
at
org.apache.commons.pool2.impl.GenericObjectPool.create(GenericObjectPool.java:861)
at
org.apache.commons.pool2.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:435)
at
org.apache.commons.pool2.impl.GenericObjectPool.borrowObject(GenericObjectPool.java:363)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterProcess.getClient(RemoteInterpreterProcess.java:139)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreter.interpret(RemoteInterpreter.java:192)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93)
at org.apache.zeppelin.notebook.Paragraph.jobRun(Paragraph.java:207)
at org.apache.zeppelin.scheduler.Job.run(Job.java:170) at
org.apache.zeppelin.scheduler.RemoteScheduler$JobRunner.run(RemoteScheduler.java:304)
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) Took 0 seconds.
Any ideas of what I'm doing wrong?
Version of Zeppelin 0.5.5 will not work with any Apache spark version higher than 1.5.0 so you will need to download Zeppelin 0.6.0 from github and recompile using the command "mvn clean package -Pspark-1.5 -DskipTests" Zeppelin 0.5.5 builds Spark 1.4 by default.

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