I have already tried setting SPARK_LOCAL_IP to "127.0.0.1" and checking if the port is occupied. Here is the full error text:
Launching java with spark-submit command /usr/hdp/2.4.0.0-
169/spark/bin/spark-submit "sparkr-shell" /tmp/RtmpZo44il/backend_port998540c56917
/usr/hdp/2.4.0.0-169/spark/bin/load-spark-env.sh: line 72: export: `load-spark-env.sh': not a valid identifier
16/06/13 11:28:24 ERROR RBackend: Server shutting down: failed with exception
java.net.BindException: Cannot assign requested address
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:433)
at sun.nio.ch.Net.bind(Net.java:425)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:223)
at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
at io.netty.channel.socket.nio.NioServerSocketChannel.doBind(NioServerSocketChannel.java:125)
at io.netty.channel.AbstractChannel$AbstractUnsafe.bind(AbstractChannel.java:485)
at io.netty.channel.DefaultChannelPipeline$HeadContext.bind(DefaultChannelPipeline.java:1089)
at io.netty.channel.AbstractChannelHandlerContext.invokeBind(AbstractChannelHandlerContext.java:430)
at io.netty.channel.AbstractChannelHandlerContext.bind(AbstractChannelHandlerContext.java:415)
at io.netty.channel.DefaultChannelPipeline.bind(DefaultChannelPipeline.java:903)
at io.netty.channel.AbstractChannel.bind(AbstractChannel.java:198)
at io.netty.bootstrap.AbstractBootstrap$2.run(AbstractBootstrap.java:348)
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$2.run(SingleThreadEventExecutor.java:111)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:137)
at java.lang.Thread.run(Thread.java:745)
Error in SparkR::sparkR.init() : JVM is not ready after 10 seconds
Above error is when launching ./bin/sparkR. Again Spark-shell will execute normally.
Some more information. Spark-shell when launched will automatically search through ports until it has resolved one that doesn't have a bind exception. Even when I set the default SparkR backend port to an unused port it will fail.
I found the issue. Another user had deleted my etc/hosts file. I reconfigured the file with localhost and it seems to run sparkR. I am still curious how spark-shell could run with the file though.
Related
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$2.run(ThreadExecutorMap.java:74)
at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.base/java.lang.Thread.run(Thread.java:829)
I noticed that the port being used will be randomly assigned during the runtime, the example .jar will work if for example I set the spark.driver.port as 9222 then opening said port with the firewall. But then if any other session is started (for example, pyspark shell), it wouldn't start as the port is already in use.
My question is: How do I allow connections to the ports dynamically defined by Spark/Yarn? I read somewhere that I should disable the firewall, but that does not sound like a good idea.. Thanks in advance.
There's spark.driver.port as well as spark.driver.blockManager.port. Both are starting ranges to spark.port.maxRetries (default 16).
So, you'll need to open at least 32 ports for these.
I did some testing with dynamic Spark ports in Mesos + Docker a few years ago - https://stackoverflow.com/a/56486271/2308683
I have installed apache spark by following these instructions. When I get to step 5, or when I have to execute start-master.sh in terminal I get the following output:
21/09/25 12:41:33 WARN Utils: Your hostname, petar-X580VD resolves to a loopback address: 127.0.1.1; using 192.168.0.105 instead (on interface wlp3s0)
21/09/25 12:41:33 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address
Exception in thread "main" java.lang.ExceptionInInitializerError
at org.apache.spark.unsafe.array.ByteArrayMethods.<clinit>(ByteArrayMethods.java:54)
at org.apache.spark.internal.config.package$.<init>(package.scala:1095)
at org.apache.spark.internal.config.package$.<clinit>(package.scala)
at org.apache.spark.deploy.SparkSubmitArguments.$anonfun$loadEnvironmentArguments$3(SparkSubmitArguments.scala:157)
at scala.Option.orElse(Option.scala:447)
at org.apache.spark.deploy.SparkSubmitArguments.loadEnvironmentArguments(SparkSubmitArguments.scala:157)
at org.apache.spark.deploy.SparkSubmitArguments.<init>(SparkSubmitArguments.scala:115)
at org.apache.spark.deploy.SparkSubmit$$anon$2$$anon$3.<init>(SparkSubmit.scala:1022)
at org.apache.spark.deploy.SparkSubmit$$anon$2.parseArguments(SparkSubmit.scala:1022)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:85)
at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1039)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1048)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.reflect.InaccessibleObjectException: Unable to make private java.nio.DirectByteBuffer(long,int) accessible: module java.base does not "opens java.nio" to unnamed module #4434095f
at java.base/java.lang.reflect.AccessibleObject.checkCanSetAccessible(AccessibleObject.java:357)
at java.base/java.lang.reflect.AccessibleObject.checkCanSetAccessible(AccessibleObject.java:297)
at java.base/java.lang.reflect.Constructor.checkCanSetAccessible(Constructor.java:188)
at java.base/java.lang.reflect.Constructor.setAccessible(Constructor.java:181)
at org.apache.spark.unsafe.Platform.<clinit>(Platform.java:56)
... 13 more
I don't know how to fix this.
As #werner suggested in the comments, changing to java version 11 fixed the problem.
I'm deploying a Spark Apache application using standalone cluster manager. My architecture uses 2 Windows machines: one set as a master, and another set as a slave (worker).
Master: on which I run: \bin>spark-class org.apache.spark.deploy.master.Master and this is what the web UI shows:
Slave: on which I run: \bin>spark-class org.apache.spark.deploy.worker.Worker spark://192.*.*.186:7077 and this what what the web UI shows:
The problem is that the worker node can not connect to the master node and shows the following error:
17/09/26 16:05:17 INFO Worker: Connecting to master 192.*.*.186:7077...
17/09/26 16:05:22 WARN Worker: Failed to connect to master 192.*.*.186:7077
org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:100)
at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:108)
at org.apache.spark.deploy.worker.Worker$$anonfun$org$apache$spark$deploy$worker$Worker$$tryRegisterAllMasters$1$$anon$1.run(Worker.scala:241)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to connect to /192.*.*.186:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:232)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:182)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:197)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:194)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:190)
... 4 more
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection timed out: no further information: /192.*.*.186:7077
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:257)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:291)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:631)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:566)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:480)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:442)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:131)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:144)
... 1 more
What can be the case of this error knowing that the firewall is disabled for both machines and I tested the connection between them both (using nmap) and everything is OK! But using telnet I receive this error: Connecting To 192.*.*.186...Could not open connection to the host, on port 23: Connect failed
Can you show me your spark-env.sh conf? This would help to pinpoint your problem.
My first idea is that you need to export SPARK_MASTER_HOST=(master ip) instead of SPARK_MASTER_IP in spark-env.sh file. You need to do it for both master and slave. Also export SPARK_LOCAL_IP for both master and slave.
You need to set your environment path to SPARK_MASTER_HOST & SPARK_LOCAL_HOST to localhost.
SPARK_LOCAL_IP & SPARK_MASTER_IP is now deprecated.
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 installed Cassandra v2.0.16 on CentOS release 6.6 (Final).
But when I try to do cqlsh on it, It gives the following error,
Connection error: Request did not complete within rpc_timeout
On My local machine, I am running ubuntu 12.04, it works fine, but on my production machine (User Managed VPS running Cent OS) its not working properly.
I went to the /var/log/cassandra/system.log
ERROR [main] 2015-07-02 04:42:12,973 CassandraDaemon.java (line 571) Exception encountered during startup
org.jboss.netty.channel.ChannelException: Failed to bind to: localhost/127.0.0.1:9042
at org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272)
at org.apache.cassandra.transport.Server.run(Server.java:159)
at org.apache.cassandra.transport.Server.start(Server.java:110)
at org.apache.cassandra.service.CassandraDaemon.start(CassandraDaemon.java:489)
at org.apache.cassandra.service.CassandraDaemon.activate(CassandraDaemon.java:567)
at org.apache.cassandra.service.CassandraDaemon.main(CassandraDaemon.java:643)
Caused by: java.net.BindException: Address already in use
at sun.nio.ch.Net.bind0(Native Method)
at sun.nio.ch.Net.bind(Net.java:444)
at sun.nio.ch.Net.bind(Net.java:436)
at sun.nio.ch.ServerSocketChannelImpl.bind(ServerSocketChannelImpl.java:214)
at sun.nio.ch.ServerSocketAdaptor.bind(ServerSocketAdaptor.java:74)
at org.jboss.netty.channel.socket.nio.NioServerBoss$RegisterTask.run(NioServerBoss.java:193)
at org.jboss.netty.channel.socket.nio.AbstractNioSelector.processTaskQueue(AbstractNioSelector.java:366)
at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:290)
at org.jboss.netty.channel.socket.nio.NioServerBoss.run(NioServerBoss.java:42)
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 am just stuck here.
Please any help would be appreciated.
I am not getting how to solve this problem.
Note: I have reinstalled Cassandra 2 to 3 times. But stuck with same problem