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$2.run(ThreadExecutorMap.java:74)
at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.lang.Thread.run(Thread.java:748)
Im using Spark: spark-3.3.1-bin-hadoop3
Please help.
Thanks
The application to run
I'm using delta lake on using pyspark by submitting below command
spark-sql --packages io.delta:delta-core_2.12:0.8.0 --conf "spark.sql.extensions=io.delta.sql.DeltaSparkSessionExtension" --conf "spark.sql.catalog.spark_catalog=org.apache.spark.sql.delta.catalog.DeltaCatalog"
System Specs:
Spark - 3.0.3
scala - 2.12.10
java - 1.8.0
hadoop - 2.7
i'm looking at reference blog https://docs.delta.io/latest/quick-start.html
https://www.confessionsofadataguy.com/introduction-to-delta-lake-on-apache-spark-for-data-engineers/
but when I use spark without the delta config spark works fine.
Error (trucated the stacktrace):
22/12/29 20:38:10 INFO Executor: Starting executor ID driver on host 192.168.0.100
22/12/29 20:38:10 INFO Executor: Fetching spark://192.168.0.100:50920/jars/org.antlr_antlr4-runtime-4.7.jar with timestamp 1672326488255
22/12/29 20:38:23 WARN ProcfsMetricsGetter: Exception when trying to compute pagesize, as a result reporting of ProcessTree metrics is stopped
22/12/29 20:38:23 INFO Executor: Told to re-register on heartbeat
22/12/29 20:38:23 INFO BlockManager: BlockManager null re-registering with master
22/12/29 20:38:23 INFO BlockManagerMaster: Registering BlockManager null
22/12/29 20:38:23 ERROR Inbox: Ignoring error
java.lang.NullPointerException
at org.apache.spark.storage.BlockManagerMasterEndpoint.org$apache$spark$storage$BlockManagerMasterEndpoint$$register(BlockManagerMasterEndpoint.scala:404)
at org.apache.spark.storage.BlockManagerMasterEndpoint$$anonfun$receiveAndReply$1.applyOrElse(BlockManagerMasterEndpoint.scala:97)
at org.apache.spark.rpc.netty.Inbox.$anonfun$process$1(Inbox.scala:103)
at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:213)
at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:100)
at org.apache.spark.rpc.netty.MessageLoop.org$apache$spark$rpc$netty$MessageLoop$$receiveLoop(MessageLoop.scala:75)
at org.apache.spark.rpc.netty.MessageLoop$$anon$1.run(MessageLoop.scala:41)
at java.util.concurrent.Executors$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$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
22/12/29 20:38:23 WARN Executor: Issue communicating with driver in heartbeater
org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:302)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:103)
at org.apache.spark.rpc.RpcEndpointRef.askSync(RpcEndpointRef.scala:87)
at org.apache.spark.storage.BlockManagerMaster.registerBlockManager(BlockManagerMaster.scala:66)
at org.apache.spark.storage.BlockManager.reregister(BlockManager.scala:567)
at org.apache.spark.executor.Executor.reportHeartBeat(Executor.scala:934)
at org.apache.spark.executor.Executor.$anonfun$heartbeater$1(Executor.scala:200)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1934)
at org.apache.spark.Heartbeater$$anon$1.run(Heartbeater.scala:46)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.NullPointerException
at org.apache.spark.storage.BlockManagerMasterEndpoint.org$apache$spark$storage$BlockManagerMasterEndpoint$$register(BlockManagerMasterEndpoint.scala:404)
at org.apache.spark.storage.BlockManagerMasterEndpoint$$anonfun$receiveAndReply$1.applyOrElse(BlockManagerMasterEndpoint.scala:97)
at org.apache.spark.rpc.netty.Inbox.$anonfun$process$1(Inbox.scala:103)
at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:213)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
... 3 more
22/12/29 20:38:31 ERROR Utils: Aborting task
java.io.IOException: Failed to connect to /192.168.0.100:50920
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:253)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:195)
at org.apache.spark.rpc.netty.NettyRpcEnv.downloadClient(NettyRpcEnv.scala:392)
at org.apache.spark.rpc.netty.NettyRpcEnv.$anonfun$openChannel$4(NettyRpcEnv.scala:360)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:931)
at org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.init(SparkSQLEnv.scala:49)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.<init>(SparkSQLCLIDriver.scala:321)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection timed out: no further information: /192.168.0.100:50920
Caused by: java.net.ConnectException: Connection timed out: no further information
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:330)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:334)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:702)
at java.lang.Thread.run(Thread.java:745)
22/12/29 20:38:31 ERROR SparkContext: Error initializing SparkContext.
java.io.IOException: Failed to connect to /192.168.0.100:50920
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:253)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:195)
at org.apache.spark.rpc.netty.NettyRpcEnv.downloadClient(NettyRpcEnv.scala:392)
at org.apache.spark.rpc.netty.NettyRpcEnv.$anonfun$openChannel$4(NettyRpcEnv.scala:360)
at java.lang.reflect.Method.invoke(Method.java:498)
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:330)
at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
at java.lang.Thread.run(Thread.java:745)
22/12/29 20:38:31 INFO SparkUI: Stopped Spark web UI at http://192.168.0.100:4041
22/12/29 20:38:31 ERROR Utils: Uncaught exception in thread main
java.lang.NullPointerException
at org.apache.spark.scheduler.local.LocalSchedulerBackend.org$apache$spark$scheduler$local$LocalSchedulerBackend$$stop(LocalSchedulerBackend.scala:168)
at org.apache.spark.scheduler.local.LocalSchedulerBackend.stop(LocalSchedulerBackend.scala:144)
at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:734)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:2171)
java.lang.NullPointerException
at org.apache.spark.executor.Executor.$anonfun$stop$3(Executor.scala:304)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.apache.spark.util.Utils$.withContextClassLoader(Utils.scala:221)
at org.apache.spark.executor.Executor.stop(Executor.scala:304)
at org.apache.spark.executor.Executor.$anonfun$stopHookReference$1(Executor.scala:74)
at org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:214)
at org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:188)
at org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:178)
at org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:54)
22/12/29 20:38:31 INFO ShutdownHookManager: Shutdown hook called
what is being missed?
Try it like this:
!pip3 install findspark --user
import findspark
findspark.init()
import os
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages io.delta:delta- core_2.12:2.2.0 --driver-memory 2g pyspark-shell'
spark = SparkSession.builder.appName("your application") \
.config("spark.jars.packages", "io.delta:delta-core_2.12:2.2.0") \
.config("spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension") \
.config("spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog") \
.getOrCreate()
I have a four node Hadoop/Spark cluster running in AWS. I can submit and run jobs perfectly in local mode:
spark-submit --master local[*] myscript.py
But when I attempt to run the script in cluster mode, it fails. I'm just trying the cluster equivalent of "hello world":
spark-submit spark-yarn.py
Where the script is this one that was recommended:
from pyspark import SparkConf
from pyspark import SparkContext
conf = SparkConf()
conf.setMaster('yarn')
conf.setAppName('spark-yarn')
sc = SparkContext(conf=conf)
def mod(x):
import numpy as np
return (x, np.mod(x, 2))
rdd = sc.parallelize(range(1000)).map(mod).take(10)
print(rdd)
I've spent days looking at every log I can find and reading everything I can online, but nothing has helped me get to the root of why it's not working. Before I tear down all the servers and start over, I'm hoping someone can point me in the right direction to get this working.
Here's the output in the terminal:
20/02/25 12:59:51 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
20/02/25 13:00:11 ERROR YarnClientSchedulerBackend: YARN application has exited unexpectedly with state FAILED! Check the YARN application logs for more details.
20/02/25 13:00:11 ERROR YarnClientSchedulerBackend: Diagnostics message: Application application_1582603840719_0002 failed 2 times due to AM Container for appattempt_1582603840719_0002_000002 exited with exitCode: -103
Failing this attempt.Diagnostics: [2020-02-25 13:00:11.601]Container [pid=3124,containerID=container_1582603840719_0002_02_000001] is running beyond virtual memory limits. Current usage: 328.7 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container.
Dump of the process-tree for container_1582603840719_0002_02_000001 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 3128 3124 3124 3124 (java) 504 34 2359349248 83396 /usr/lib/jvm/java-8-openjdk-amd64/bin/java -server -Xmx512m -Djava.io.tmpdir=/tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0002/container_1582603840719_0002_02_000001/tmp -Dspark.yarn.app.container.log.dir=/home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0002/container_1582603840719_0002_02_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg ip-172-31-7-96.ec2.internal:43275 --properties-file /tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0002/container_1582603840719_0002_02_000001/__spark_conf__/__spark_conf__.properties
|- 3124 3122 3124 3124 (bash) 0 0 13635584 760 /bin/bash -c /usr/lib/jvm/java-8-openjdk-amd64/bin/java -server -Xmx512m -Djava.io.tmpdir=/tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0002/container_1582603840719_0002_02_000001/tmp -Dspark.yarn.app.container.log.dir=/home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0002/container_1582603840719_0002_02_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg 'ip-172-31-7-96.ec2.internal:43275' --properties-file /tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0002/container_1582603840719_0002_02_000001/__spark_conf__/__spark_conf__.properties 1> /home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0002/container_1582603840719_0002_02_000001/stdout 2> /home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0002/container_1582603840719_0002_02_000001/stderr
[2020-02-25 13:00:11.651]Container killed on request. Exit code is 143
[2020-02-25 13:00:11.658]Container exited with a non-zero exit code 143.
For more detailed output, check the application tracking page: http://ec2-34-200-223-235.compute-1.amazonaws.com:8088/cluster/app/application_1582603840719_0002 Then click on links to logs of each attempt.
. Failing the application.
20/02/25 13:00:11 ERROR TransportClient: Failed to send RPC RPC 6867152665638655473 to /172.31.9.94:57526: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
20/02/25 13:00:11 ERROR YarnSchedulerBackend$YarnSchedulerEndpoint: Sending RequestExecutors(0,0,Map(),Set()) to AM was unsuccessful
java.io.IOException: Failed to send RPC RPC 6867152665638655473 to /172.31.9.94:57526: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$RpcChannelListener.handleFailure(TransportClient.java:362)
at org.apache.spark.network.client.TransportClient$StdChannelListener.operationComplete(TransportClient.java:339)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:507)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:481)
at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:420)
at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:122)
at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:987)
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:869)
at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1316)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite0(AbstractChannelHandlerContext.java:738)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:730)
at io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:38)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:1081)
at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:1128)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:1070)
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
20/02/25 13:00:11 ERROR Utils: Uncaught exception in thread YARN application state monitor
org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:574)
at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.stop(YarnSchedulerBackend.scala:98)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.stop(YarnClientSchedulerBackend.scala:164)
at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:653)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:2042)
at org.apache.spark.SparkContext$$anonfun$stop$6.apply$mcV$sp(SparkContext.scala:1949)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1340)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1948)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:121)
Caused by: java.io.IOException: Failed to send RPC RPC 6867152665638655473 to /172.31.9.94:57526: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$RpcChannelListener.handleFailure(TransportClient.java:362)
at org.apache.spark.network.client.TransportClient$StdChannelListener.operationComplete(TransportClient.java:339)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:507)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:481)
at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:420)
at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:122)
at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:987)
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:869)
at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1316)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite0(AbstractChannelHandlerContext.java:738)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:730)
at io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:38)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:1081)
at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:1128)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:1070)
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
20/02/25 13:00:12 ERROR SparkContext: Error initializing SparkContext.
java.lang.IllegalStateException: Spark context stopped while waiting for backend
at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:818)
at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:196)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:560)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Traceback (most recent call last):
File "/home/ubuntu/server/spark-yarn.py", line 7, in <module>
sc = SparkContext(conf=conf)
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 136, in __init__
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 198, in _do_init
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 306, in _initialize_context
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1525, in __call__
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.IllegalStateException: Spark context stopped while waiting for backend
at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:818)
at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:196)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:560)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
If I change 'spark' to 'spark-client' as the master, it gives a slightly different error:
20/02/25 13:07:31 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
20/02/25 13:07:46 ERROR TransportClient: Failed to send RPC RPC 5381013595535555066 to /172.31.5.228:39748: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
20/02/25 13:07:46 ERROR YarnScheduler: Lost executor 1 on ip-172-31-5-228.ec2.internal: Slave lost
20/02/25 13:07:51 ERROR YarnClientSchedulerBackend: YARN application has exited unexpectedly with state FAILED! Check the YARN application logs for more details.
20/02/25 13:07:51 ERROR YarnClientSchedulerBackend: Diagnostics message: Application application_1582603840719_0003 failed 2 times due to AM Container for appattempt_1582603840719_0003_000002 exited with exitCode: -103
Failing this attempt.Diagnostics: [2020-02-25 13:07:51.067]Container [pid=3223,containerID=container_1582603840719_0003_02_000001] is running beyond virtual memory limits. Current usage: 320.8 MB of 1 GB physical memory used; 2.2 GB of 2.1 GB virtual memory used. Killing container.
Dump of the process-tree for container_1582603840719_0003_02_000001 :
|- PID PPID PGRPID SESSID CMD_NAME USER_MODE_TIME(MILLIS) SYSTEM_TIME(MILLIS) VMEM_USAGE(BYTES) RSSMEM_USAGE(PAGES) FULL_CMD_LINE
|- 3227 3223 3223 3223 (java) 489 32 2355855360 81352 /usr/lib/jvm/java-8-openjdk-amd64/bin/java -server -Xmx512m -Djava.io.tmpdir=/tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0003/container_1582603840719_0003_02_000001/tmp -Dspark.yarn.app.container.log.dir=/home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0003/container_1582603840719_0003_02_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg ip-172-31-7-96.ec2.internal:40963 --properties-file /tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0003/container_1582603840719_0003_02_000001/__spark_conf__/__spark_conf__.properties
|- 3223 3221 3223 3223 (bash) 0 0 13635584 767 /bin/bash -c /usr/lib/jvm/java-8-openjdk-amd64/bin/java -server -Xmx512m -Djava.io.tmpdir=/tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0003/container_1582603840719_0003_02_000001/tmp -Dspark.yarn.app.container.log.dir=/home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0003/container_1582603840719_0003_02_000001 org.apache.spark.deploy.yarn.ExecutorLauncher --arg 'ip-172-31-7-96.ec2.internal:40963' --properties-file /tmp/hadoop-ubuntu/nm-local-dir/usercache/ubuntu/appcache/application_1582603840719_0003/container_1582603840719_0003_02_000001/__spark_conf__/__spark_conf__.properties 1> /home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0003/container_1582603840719_0003_02_000001/stdout 2> /home/ubuntu/server/hadoop-2.9.2/logs/userlogs/application_1582603840719_0003/container_1582603840719_0003_02_000001/stderr
[2020-02-25 13:07:51.089]Container killed on request. Exit code is 143
[2020-02-25 13:07:51.090]Container exited with a non-zero exit code 143.
For more detailed output, check the application tracking page: http://ec2-34-200-223-235.compute-1.amazonaws.com:8088/cluster/app/application_1582603840719_0003 Then click on links to logs of each attempt.
. Failing the application.
20/02/25 13:07:51 ERROR SparkContext: Error initializing SparkContext.
java.lang.IllegalStateException: Spark context stopped while waiting for backend
at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:818)
at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:196)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:560)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
20/02/25 13:07:52 ERROR TransportClient: Failed to send RPC RPC 8397804982944513692 to /172.31.0.102:39468: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
20/02/25 13:07:52 ERROR YarnSchedulerBackend$YarnSchedulerEndpoint: Sending RequestExecutors(0,0,Map(),Set()) to AM was unsuccessful
java.io.IOException: Failed to send RPC RPC 8397804982944513692 to /172.31.0.102:39468: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$RpcChannelListener.handleFailure(TransportClient.java:362)
at org.apache.spark.network.client.TransportClient$StdChannelListener.operationComplete(TransportClient.java:339)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:507)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:481)
at io.netty.util.concurrent.DefaultPromise.access$000(DefaultPromise.java:34)
at io.netty.util.concurrent.DefaultPromise$1.run(DefaultPromise.java:431)
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
20/02/25 13:07:52 ERROR Utils: Uncaught exception in thread YARN application state monitor
org.apache.spark.SparkException: Exception thrown in awaitResult:
at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:226)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:574)
at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.stop(YarnSchedulerBackend.scala:98)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.stop(YarnClientSchedulerBackend.scala:164)
at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:653)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:2042)
at org.apache.spark.SparkContext$$anonfun$stop$6.apply$mcV$sp(SparkContext.scala:1949)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1340)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1948)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:121)
Caused by: java.io.IOException: Failed to send RPC RPC 8397804982944513692 to /172.31.0.102:39468: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$RpcChannelListener.handleFailure(TransportClient.java:362)
at org.apache.spark.network.client.TransportClient$StdChannelListener.operationComplete(TransportClient.java:339)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:507)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:481)
at io.netty.util.concurrent.DefaultPromise.access$000(DefaultPromise.java:34)
at io.netty.util.concurrent.DefaultPromise$1.run(DefaultPromise.java:431)
at io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
Traceback (most recent call last):
File "/home/ubuntu/server/spark-yarn.py", line 7, in <module>
sc = SparkContext(conf=conf)
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 136, in __init__
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 198, in _do_init
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/context.py", line 306, in _initialize_context
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1525, in __call__
File "/home/ubuntu/server/spark-2.4.4-bin-hadoop2.7/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.IllegalStateException: Spark context stopped while waiting for backend
at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:818)
at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:196)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:560)
at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
It mentions checking the logs at:
http://ec2-34-200-223-235.compute-1.amazonaws.com:8088/cluster/app/application_1582603840719_0003
But clicking on any of the log links on that page give an error:
Firefox can’t establish a connection to the server at ip-172-31-0-102.ec2.internal:8042.
(That's probably unrelated.)
Grepping for warnings, I see the following:
2020-02-25 13:07:38,904 WARN org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: The specific max attempts: 0 for application: 3 is invalid, because it is out of the range [1, 2]. Use the global max attempts instead.
2020-02-25 13:07:51,241 WARN org.apache.hadoop.yarn.server.resourcemanager.RMAuditLogger: USER=ubuntOPERATION=Application Finished - Failed TARGET=RMAppManager RESULT=FAILURE DESCRIPTION=App failed with state: FAILED PERMISSIONS=Application application_1582603840719_0003 failed 2 times due to AM Container for appattempt_1582603840719_0003_000002 exited with exitCode: -103
2020-02-25 13:07:40,367 WARN org.apache.hadoop.hdfs.server.namenode.SecondaryNameNode: Checkpoint done. New Image Size: 12086
No errors were generated.
Trying yarn logs from the command line will show me the jobs:
ubuntu#ip-172-31-7-96:~/server$ yarn application -list -appStates ALL
20/02/25 13:31:44 INFO client.RMProxy: Connecting to ResourceManager at ec2-34-200-223-235.compute-1.amazonaws.com/172.31.7.96:8032
Total number of applications (application-types: [], states: [NEW, NEW_SAVING, SUBMITTED, ACCEPTED, RUNNING, FINISHED, FAILED, KILLED] and tags: []):3
Application-Id Application-Name Application-Type User Queue State Final-State Progress Tracking-URL
application_1582603840719_0001 spark-yarn SPARK ubuntu default FINISHED UNDEFINED 100% N/A
But asking for the logs fails:
ubuntu#ip-172-31-7-96:~/server$ yarn logs -applicationId application_1582603840719_0001
20/02/25 13:32:48 INFO client.RMProxy: Connecting to ResourceManager at ec2-34-200-223-235.compute-1.amazonaws.com/172.31.7.96:8032
fs.AbstractFileSystem.ec2-34-200-223-235.compute-1.amazonaws.com.impl=null: No AbstractFileSystem configured for scheme: ec2-34-200-223-235.compute-1.amazonaws.com
Can not find any log file matching the pattern: [ALL] for the application: application_1582603840719_0001
Can not find the logs for the application: application_1582603840719_0001 with the appOwner: ubuntu
Again, if someone could direct me to next trouble-shooting steps, I'd really appreciate it. I've spent days on this and don't seem to be making progress.
Two of these things ended up solving this issue:
First, I added the following lines to all nodes in the yarn-site.xml file:
<property>
<name>yarn.nodemanager.pmem-check-enabled</name>
<value>false</value>
</property>
<property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
Next, I changed my spark-submit command to include the following lines to give the driver more memory:
spark-submit --master yarn \
--deploy-mode client \
--driver-memory 6g \
--executor-memory 6g \
--executor-cores 2 \
--num-executors 10 \
my_app.py
I have a 7 node cluster setup on CentOS VMs in on-prem fashion.
Earlier the VMs were co-located and everything used to work fine, but since yesterday as the VMs have been spread across the data centre (But in same rack), I am facing Connection refused and IOException: Failed to connect to errors.
Logs:
2019-05-24 03:33:37 INFO TorrentBroadcast:54 - Started reading broadcast variable 6
2019-05-24 03:33:37 ERROR RetryingBlockFetcher:143 - Exception while beginning fetch of 1 outstanding blocks
java.io.IOException: Failed to connect to <HOST/IP>:38000
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$2.createAndStart(NettyBlockTransferService.scala:113)
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:123)
at org.apache.spark.network.BlockTransferService.fetchBlockSync(BlockTransferService.scala:98)
at org.apache.spark.storage.BlockManager.getRemoteBytes(BlockManager.scala:693)
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$1.apply(TorrentBroadcast.scala:151)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.broadcast.TorrentBroadcast.org$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:1347)
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.sql.execution.datasources.text.TextFileFormat$$anonfun$readToUnsafeMem$1.apply(TextFileFormat.scala:125)
at org.apache.spark.sql.execution.datasources.text.TextFileFormat$$anonfun$readToUnsafeMem$1.apply(TextFileFormat.scala:124)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:148)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(FileFormat.scala:132)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:128)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:182)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:109)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:461)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:461)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1336)
at scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:214)
at scala.collection.AbstractIterator.aggregate(Iterator.scala:1336)
at org.apache.spark.rdd.RDD$$anonfun$aggregate$1$$anonfun$21.apply(RDD.scala:1122)
at org.apache.spark.rdd.RDD$$anonfun$aggregate$1$$anonfun$21.apply(RDD.scala:1122)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:2130)
at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:2130)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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: <HOST/IP>:38000
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:323)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
... 1 more
Caused by: java.net.ConnectException: Connection refused
... 11 more
2019-05-24 03:33:37 INFO RetryingBlockFetcher:164 - Retrying fetch (1/3) for 1 outstanding blocks after 5000 ms
2019-05-24 03:33:42 ERROR RetryingBlockFetcher:143 - Exception while beginning fetch of 1 outstanding blocks (after 1 retries)
java.io.IOException: Failed to connect to <HOST/IP>:38000
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$2.createAndStart(NettyBlockTransferService.scala:113)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:141)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.lambda$initiateRetry$0(RetryingBlockFetcher.java:169)
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:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: <HOST/IP>:38000
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:323)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
... 2 more
Caused by: java.net.ConnectException: Connection refused
... 11 more
2019-05-24 03:33:42 INFO RetryingBlockFetcher:164 - Retrying fetch (2/3) for 1 outstanding blocks after 5000 ms
2019-05-24 03:33:47 ERROR RetryingBlockFetcher:143 - Exception while beginning fetch of 1 outstanding blocks (after 2 retries)
java.io.IOException: Failed to connect to <HOST/IP>:38000
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:245)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:187)
at org.apache.spark.network.netty.NettyBlockTransferService$$anon$2.createAndStart(NettyBlockTransferService.scala:113)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.fetchAllOutstanding(RetryingBlockFetcher.java:141)
at org.apache.spark.network.shuffle.RetryingBlockFetcher.lambda$initiateRetry$0(RetryingBlockFetcher.java:169)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Connection refused: <HOST/IP>:38000
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:323)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:340)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:633)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:580)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:497)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:459)
at io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
... 2 more
Caused by: java.net.ConnectException: Connection refused
... 11 more
My theory is because the VMs have been spread, there may be delay in their communication and that delay may be overshooting the timeout and hence causing the connection refused or timeouts? Will it be correct to think that ways?
If not, what could be the issue here?
Thanks for the help!
Figured it out.
BlockManager service was running on 127.0.0.1 because of recent change to VMs.
Fixed that and spark cluster was back to being awsome!
I am running a spark streaming program that connects to a DatahighWay and it works fine if i run the program via Run. But if I create a jar and run the jar via spark-submit I get the following error. Does this mean there are some issues in spark connecting to one of it's executor nodes? It is run in local machine.
18/05/02 22:52:20 ERROR TaskSetManager: Task 0 in stage 1.0 failed 1 times; aborting job
18/05/02 22:52:20 ERROR ReceiverTracker: Receiver has been stopped. Try to restart it.
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost, executor driver): java.io.IOException: Failed to connect to /10.184.199.182:62431
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:232)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:182)
at org.apache.spark.rpc.netty.NettyRpcEnv.downloadClient(NettyRpcEnv.scala:366)
at org.apache.spark.rpc.netty.NettyRpcEnv.openChannel(NettyRpcEnv.scala:332)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:654)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:480)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:696)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:688)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:688)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:308)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Operation timed out: /10.184.199.182:62431
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:257)
at io.netty.channel.nio.AbstractNioChannel$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
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
Caused by: java.io.IOException: Failed to connect to /10.184.199.182:62431
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:232)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:182)
at org.apache.spark.rpc.netty.NettyRpcEnv.downloadClient(NettyRpcEnv.scala:366)
at org.apache.spark.rpc.netty.NettyRpcEnv.openChannel(NettyRpcEnv.scala:332)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:654)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:480)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:696)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:688)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:688)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:308)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: io.netty.channel.AbstractChannel$AnnotatedConnectException: Operation timed out: /10.184.199.182:62431
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:257)
at io.netty.channel.nio.AbstractNioChannel$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
It seems like a connection issue, not sure how it is happening.