Need some help regarding cassandra stress testing. I have installed the cassandra-stress 2.1 tool from datastax website. I want to do Read+Write stress testing in the ratio of 10:1 and using 15 threads. I somehow cant get it to work. I am able to successfully to the read and write testing seperately.
Command I am using :
./cassandra-stress mixed ratio(write=1,read=10) n=10000 cl=ONE -port thrift=9160 -schema keyspace="Keyspace1" -mode thrift smart -rate threads>=15 threads\<=15 -node 192.168.5.10
Even though I specify the port as 9160 but it is using native 9042 port.
I am getting the following error:
ERROR 18:03:07 Error creating pool to /192.168.5.11:9042
com.datastax.driver.core.TransportException: [/192.168.5.11:9042] Cannot connect
at com.datastax.driver.core.Connection.<init>(Connection.java:106) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.PooledConnection.<init>(PooledConnection.java:32) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.Connection$Factory.open(Connection.java:521) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.DynamicConnectionPool.<init>(DynamicConnectionPool.java:73) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.HostConnectionPool.newInstance(HostConnectionPool.java:33) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager.replacePool(SessionManager.java:239) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager.access$400(SessionManager.java:39) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager$3.call(SessionManager.java:272) [cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager$3.call(SessionManager.java:264) [cassandra-driver-core-2.1.2.jar:na]
at java.util.concurrent.FutureTask.run(FutureTask.java:262) [na:1.7.0_72]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) [na:1.7.0_72]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) [na:1.7.0_72]
at java.lang.Thread.run(Thread.java:745) [na:1.7.0_72]
Caused by: org.jboss.netty.channel.ConnectTimeoutException: connection timed out: /192.168.5.11:9042
at org.jboss.netty.channel.socket.nio.NioClientBoss.processConnectTimeout(NioClientBoss.java:137) ~[netty-3.9.0.Final.jar:na]
at org.jboss.netty.channel.socket.nio.NioClientBoss.process(NioClientBoss.java:83) ~[netty-3.9.0.Final.jar:na]
at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:318) ~[netty-3.9.0.Final.jar:na]
at org.jboss.netty.channel.socket.nio.NioClientBoss.run(NioClientBoss.java:42) ~[netty-3.9.0.Final.jar:na]
... 3 common frames omitted
ERROR 18:03:12 Error creating pool to /192.168.5.13:9042
com.datastax.driver.core.TransportException: [/192.168.5.13:9042] Cannot connect
at com.datastax.driver.core.Connection.<init>(Connection.java:106) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.PooledConnection.<init>(PooledConnection.java:32) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.Connection$Factory.open(Connection.java:521) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.DynamicConnectionPool.<init>(DynamicConnectionPool.java:73) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.HostConnectionPool.newInstance(HostConnectionPool.java:33) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager.replacePool(SessionManager.java:239) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager.access$400(SessionManager.java:39) ~[cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager$3.call(SessionManager.java:272) [cassandra-driver-core-2.1.2.jar:na]
at com.datastax.driver.core.SessionManager$3.call(SessionManager.java:264) [cassandra-driver-core-2.1.2.jar:na]
at java.util.concurrent.FutureTask.run(FutureTask.java:262) [na:1.7.0_72]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) [na:1.7.0_72]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) [na:1.7.0_72]
at java.lang.Thread.run(Thread.java:745) [na:1.7.0_72]
Caused by: org.jboss.netty.channel.ConnectTimeoutException: connection timed out: /192.168.5.13:9042
at org.jboss.netty.channel.socket.nio.NioClientBoss.processConnectTimeout(NioClientBoss.java:137) ~[netty-3.9.0.Final.jar:na]
at org.jboss.netty.channel.socket.nio.NioClientBoss.process(NioClientBoss.java:83) ~[netty-3.9.0.Final.jar:na]
at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:318) ~[netty-3.9.0.Final.jar:na]
at
org.jboss.netty.channel.socket.nio.NioClientBoss.run(NioClientBoss.java:42) ~[netty-3.9.0.Final.jar:na]
... 3 common frames omitted
You need to escape the shell metacharacters (parantheses and angle brackets in this case). Try this:
./cassandra-stress mixed ratio\(write=1,read=10\) n=10000 cl=ONE -port thrift=9160 -schema keyspace="Keyspace1" -mode thrift smart -rate threads\>=15 threads\<=15 -node 192.168.5.10
Related
I'm trying to diagnose some weird connection issues on my spark grid: I'm seeing an insane number of dropped connection.
I'm running something that looks like this on a distributed pyspark cluster
spark_context.parallelize(tasks)) \
.map(lambda kwargs: my_mapped_fn(**kwargs) \
.reduceByKey(my_reduce_by_key) \
.map(lambda (x,y): (x, my_final_map(x,y))) \
.reduce(my_final_reduce)
I'm pretty sure it fails during the my_final_map part, hence my suspicion about the closure transport, so many that my jobs fail.
Here is the error i get:
java.io.IOException: Failed to connect to 10.12.9.117:38103
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:228)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:179)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$1.createAndStart(NettyBlockTransferService.scala:97)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:140)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.start(RetryingBlockFetcher.java:120)
at org.apache.spark.network.netty.NettyBlockTransferService.fetchBlocks(NettyBlockTransferService.scala:106)
at org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:92)
at org.apache.spark.storage.BlockManager.getRemoteBytes(BlockManager.scala:579)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply$mcV$sp(TaskResultGetter.scala:82)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$1.apply(TaskResultGetter.scala:63)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1951)
at org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:62)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: 10.12.9.117:38103
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:744)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:257)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:291)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:640)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:575)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:489)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:451)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:140)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:144)
... 1 more
In case anyone finds this useful, the actual answer was completely unrelated to spark. In fact ip address lookup on some of the nodes was broken.
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$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
In the Zeppelin logs there is only one file for zeppelin, the interpreter is an external Spark installation, which is not logging any error because it is never reached by the interpreter process.
I read some suggestion about the max and min memory of the JVM but I could not fix it yet.
Any comment will be appreciated.
Paul
I have a hortonwork sandbox 2.4 with spark 1.6 set up. Then I create Intellij spark development environment in windows using hdp spark jar and scala 2.10.5. So both spark and scala version are matched between my windows and hdp environment as indicated here. And my Intellij dev environment works with local as Master.
Then I'm trying to connect hdp in windows using
val sparkConf = new SparkConf()
.setAppName("spark-word-count")
.setMaster("spark://10.33.241.160:7077")
And I get below error information and have no clue to resolve it. Please help!
6/03/21 16:27:40 INFO SparkUI: Started SparkUI at http://10.33.240.126:4040
16/03/21 16:27:40 INFO AppClient$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.
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$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
I can telnet port 7077 from zeppelin machine. Also this is my local vm machine so should not be issue with firewall, also disable all firewall.
Please let me know the issue.
Perhaps you can go thorough the bug reported here https://issues.apache.org/jira/browse/ZEPPELIN-305 .
Taking an excerpt from that bug
I faced the same issue when I try to use Spark 1.5.1 under the latest version (0.6.0) of Zeppelin.
Following Dongjoon Hyun's suggestion, I set ZEPPELIN_MEM as -Xmx4g (the same value as SPARK_DRIVER_MEMORY in spark/conf/spark-env.sh) in zeppelin/conf/zeppelin-env.sh
export ZEPPELIN_MEM=-Xmx4g
As a result, the java.net.ConnectException problem is solved. Thanks!
I have downloaded the Zeppelin 0.5.5 binary into a redhat 6.3 instance. I have also built spark 1.5.2 successfully. Now, I would like to have zeppelin use that spark version instead of the precompiled one that comes with zeppelin.
For that, I have edited conf/ so that it contains only this uncommented line:
export SPARK_HOME=/home/eron/spark-1.5.2/
I have also edited the zeppelin GUI so that now I have Master set:
master = spark://master:7077
I then hit restart and tried to go through the tutorial again:
val bankText = sc.textFile("/mnt/zeppelin-0.5.5-incubating-bin-all/bank.csv")
org.apache.thrift.transport.TTransportException at
org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:132)
at org.apache.thrift.transport.TTransport.readAll(TTransport.java:86)
at
org.apache.thrift.protocol.TBinaryProtocol.readAll(TBinaryProtocol.java:429)
at
org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:318)
at
org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:219)
at
org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:69)
at
org.apache.zeppelin.interpreter.thrift.RemoteInterpreterService$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.