I am trying to set up spark on yarn on AWS machines. My spark.driver.port is 32975. I see the below error in the yarn container logs . It is trying to connect to master resource manager port 35653. I am not sure what block is it trying to fetch from port 35653. Could someone help
Spark command
spark-submit --deploy-mode client --class org.apache.spark.examples.SparkPi $SPARK_HOME/examples/jars/spark-examples_2.11-2.4.4.jar 10
Hadoop version: 3.x
spark version: 2.4.4
2019-12-01 19:09:54,590 ERROR shuffle.RetryingBlockFetcher: Exception while beginning fetch of 1 outstanding blocks
java.io.IOException: Connecting to xyz.com/xx.xx.xx.xx:35653 timed out (120000 ms)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:243)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$2.createAndStart(NettyBlockTransferService.scala:114)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:141)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.start(RetryingBlockFetcher.java:121)
at org.apache.spark.network.netty.NettyBlockTransferService.fetchBlocks(NettyBlockTransferService.scala:124)
at org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:98)
at org.apache.spark.storage.BlockManager.getRemoteBytes(BlockManager.scala:757)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply$mcVI$sp(TorrentBroadcast.scala:162)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:151)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$org$apache$spark$broadcast$TorrentBroadcast$$readBlocks$1.apply(TorrentBroadcast.scala:151)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$readBlocks(TorrentBroadcast.scala:151)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1$$anonfun$apply$2.apply(TorrentBroadcast.scala:231)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:211)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1326)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:207)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:66)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:66)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:96)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:84)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Please check if hadoop/yarn in working.
You should start hadoop first and then check if hadoop is running or not just by doing jps in the terminal.
hadoop start-all.sh
jps
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 am running a on-prem k8s cluster and am running juypterhub on it.
I can successfully submit the job to an yarn queue, however the job will fail because users notebook pod IP is not resolvable and therefore it can’t talk back to the spark driver running on said pod and I get an error like:
Caused by: java.io.IOException: Failed to connect to podIP:33630 at
org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:287)
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:
java.net.UnknownHostException: pod-ip
I believe I’m missing something in my setup that will allow yarn to talk back to the spawned notebook pods on the kubernetes cluster.
Any help or hints are greatly appreciated .
For now I am passing the spark driver the internal Kubernetes Pod IP of juypterhub by setting:
"spark.driver.host" to str(socket.gethostbyname(socket.gethostname())). Could I change this to something else in the notebook I am running? I am not too sure what to change it to.
Thanks!
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'm Trying to connect to phoenix using spark submit on secured cluster I have this Exception
ConnectionQueryServicesImpl: Trying to connect to a secure cluster
with keytab:/hbase-secure 17/06/29 11:54:44 ERROR Executor: Exception
in task 0.0 in stage 0.0 (TID 0) java.sql.SQLException: ERROR 103
(08004): Unable to establish connection.
On my program I want to save to phoenix a dataframe (the program part that generate the exception) I already compiled and saved to phoenix from my intelliji but it's not working from spark submit even with master local
this is the part of code that generate the exception
df.write
.format("org.apache.phoenix.spark")
.mode("overwrite")
.option("table", output)
.option("zkUrl", "sv005689.info.ratp:2181")
.save()
this my spark submit command
spark-submit --class TEST.PHOENIX --master local --executor-memory 10G --num-executors 50 --conf spark.ui.port=14040 spark-assembly-0.0.2.jar
this is my exception
17/06/29 11:54:43 INFO ConnectionQueryServicesImpl: Trying to connect to a secure cluster with keytab:/hbase-secure
17/06/29 11:54:44 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.sql.SQLException: ERROR 103 (08004): Unable to establish connection.
at org.apache.phoenix.exception.SQLExceptionCode$Factory$1.newException(SQLExceptionCode.java:422)
at org.apache.phoenix.exception.SQLExceptionInfo.buildException(SQLExceptionInfo.java:145)
at org.apache.phoenix.query.ConnectionQueryServicesImpl.openConnection(ConnectionQueryServicesImpl.java:392)
at org.apache.phoenix.query.ConnectionQueryServicesImpl.access$300(ConnectionQueryServicesImpl.java:211)
at org.apache.phoenix.query.ConnectionQueryServicesImpl$13.call(ConnectionQueryServicesImpl.java:2269)
at org.apache.phoenix.query.ConnectionQueryServicesImpl$13.call(ConnectionQueryServicesImpl.java:2248)
at org.apache.phoenix.util.PhoenixContextExecutor.call(PhoenixContextExecutor.java:78)
at org.apache.phoenix.query.ConnectionQueryServicesImpl.init(ConnectionQueryServicesImpl.java:2248)
at org.apache.phoenix.jdbc.PhoenixDriver.getConnectionQueryServices(PhoenixDriver.java:233)
at org.apache.phoenix.jdbc.PhoenixEmbeddedDriver.createConnection(PhoenixEmbeddedDriver.java:135)
at org.apache.phoenix.jdbc.PhoenixDriver.connect(PhoenixDriver.java:202)
at java.sql.DriverManager.getConnection(DriverManager.java:664)
at java.sql.DriverManager.getConnection(DriverManager.java:208)
at org.apache.phoenix.mapreduce.util.ConnectionUtil.getConnection(ConnectionUtil.java:98)
at org.apache.phoenix.mapreduce.util.ConnectionUtil.getOutputConnection(ConnectionUtil.java:82)
at org.apache.phoenix.mapreduce.util.ConnectionUtil.getOutputConnection(ConnectionUtil.java:70)
at org.apache.phoenix.mapreduce.util.PhoenixConfigurationUtil.getUpsertColumnMetadataList(PhoenixConfigurationUtil.java:230)
at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$2.apply(DataFrameFunctions.scala:45)
at org.apache.phoenix.spark.DataFrameFunctions$$anonfun$2.apply(DataFrameFunctions.scala:41)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$22.apply(RDD.scala:717)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
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: Login failure for 2181 from keytab /hbase-secure: javax.security.auth.login.LoginException: Unable to obtain password from user
at org.apache.hadoop.security.UserGroupInformation.loginUserFromKeytab(UserGroupInformation.java:987)
at org.apache.hadoop.security.SecurityUtil.login(SecurityUtil.java:280)
at org.apache.hadoop.hbase.security.User$SecureHadoopUser.login(User.java:386)
at org.apache.hadoop.hbase.security.User.login(User.java:253)
at org.apache.phoenix.query.ConnectionQueryServicesImpl.openConnection(ConnectionQueryServicesImpl.java:380)
... 27 more
Caused by: javax.security.auth.login.LoginException: Unable to obtain password from user
at com.sun.security.auth.module.Krb5LoginModule.promptForPass(Krb5LoginModule.java:897)
at com.sun.security.auth.module.Krb5LoginModule.attemptAuthentication(Krb5LoginModule.java:760)
at com.sun.security.auth.module.Krb5LoginModule.login(Krb5LoginModule.java:617)
Can someone help me to resolve this issue
thank you for your help
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.