Spark Streaming Error with snappy compression codec - apache-spark

I am getting the following exception on running my spark streaming job.
The same job has been running fine since long and when I added two new machines to my cluster I see the job failing with the following exception.
16/02/22 19:23:01 ERROR Executor: Exception in task 2.0 in stage 4229.0 (TID 22594)
java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1257)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:59)
at org.apache.spark.scheduler.Task.run(Task.scala:70)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.reflect.InvocationTargetException
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:408)
at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:68)
at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:60)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$setConf(TorrentBroadcast.scala:73)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:167)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1254)
... 11 more
Caused by: java.lang.IllegalArgumentException
at org.apache.spark.io.SnappyCompressionCodec.<init>(CompressionCodec.scala:152)
... 20 more
On changing the default compression codec which is snappy to lzf the errors are gone !!
How can I fix this using snappy as the codec ? Is there any downside of using lzf as snappy is the default codec that ships with spark ?
Spark Version is 1.4.0

Related

org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit time - PySpark Unable to Write to Hudi with ABFS

I am using using a Spark on k8 Operator to submit spark applications to an executor and driver. When trying to write the results of the application back to azure storage I am getting the following error.
Using the following jar versions on the executor and driver
com.microsoft.azure:azure-storage:8.6.6
org.apache.hadoop:hadoop-azure:3.3.1
org.apache.hadoop:hadoop-common:3.3.1
org.apache.hudi:hudi-spark3-bundle_2.12:0.10.0
Has anyone seen this before or is currently dealing with this?
Full Error:
Writing to abfs://container#storageaccount.dfs.core.windows.net/folder/host
22/06/08 20:45:15 ERROR TaskSetManager: Task 0 in stage 1.0 failed 4 times; aborting job
Hudi write failed: host
An error occurred while calling o146.save.
: org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit time 20220608204512566
at org.apache.hudi.table.action.commit.AbstractWriteHelper.write(AbstractWriteHelper.java:62)
at org.apache.hudi.table.action.commit.SparkUpsertCommitActionExecutor.execute(SparkUpsertCommitActionExecutor.java:46)
at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.upsert(HoodieSparkCopyOnWriteTable.java:119)
at org.apache.hudi.table.HoodieSparkCopyOnWriteTable.upsert(HoodieSparkCopyOnWriteTable.java:103)
at org.apache.hudi.client.SparkRDDWriteClient.upsert(SparkRDDWriteClient.java:159)
at org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:214)
at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:275)
at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:164)
at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:176)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:132)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:131)
at org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)
at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)
at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Unknown Source)
Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 8) (10.42.5.12 executor 1): java.lang.ClassCastException: cannot assign instance of java.lang.invoke.SerializedLambda to field org.apache.spark.rdd.MapPartitionsRDD.f of type scala.Function3 in instance of org.apache.spark.rdd.MapPartitionsRDD
at java.base/java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(Unknown Source)
at java.base/java.io.ObjectStreamClass$FieldReflector.checkObjectFieldValueTypes(Unknown Source)
... there is more if you would like to see the entire error
EDIT:
I fixed this issue by correcting my jar versions between my Operator and Drivers. The jars needed to be loaded onto the image on build instead of using the spark submit dependencies section.

java.lang.NoClassDefFoundError: Could not initialize class org.xerial.snappy.Snappy

I am trying to run spark-shell from DSE 5.0.11. I can successfully create and RDD, but trying to query it yields:
<pre>
Caused by: java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1212)
at org.apache.spark.broadcast.TorrentBroadcast.readBroadcastBlock(TorrentBroadcast.scala:165)
at org.apache.spark.broadcast.TorrentBroadcast._value$lzycompute(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast._value(TorrentBroadcast.scala:64)
at org.apache.spark.broadcast.TorrentBroadcast.getValue(TorrentBroadcast.scala:88)
at org.apache.spark.broadcast.Broadcast.value(Broadcast.scala:70)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.reflect.InvocationTargetException
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 org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:72)
at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:65)
at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$setConf(TorrentBroadcast.scala:73)
at org.apache.spark.broadcast.TorrentBroadcast$$anonfun$readBroadcastBlock$1.apply(TorrentBroadcast.scala:167)
at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1205)
... 11 more
Caused by: java.lang.IllegalArgumentException: java.lang.NoClassDefFoundError: Could not initialize class org.xerial.snappy.Snappy
at org.apache.spark.io.SnappyCompressionCodec$.liftedTree1$1(CompressionCodec.scala:171)
at org.apache.spark.io.SnappyCompressionCodec$.org$apache$spark$io$SnappyCompressionCodec$$version$lzycompute(CompressionCodec.scala:168)
at org.apache.spark.io.SnappyCompressionCodec$.org$apache$spark$io$SnappyCompressionCodec$$version(CompressionCodec.scala:168)
at org.apache.spark.io.SnappyCompressionCodec.<init>(CompressionCodec.scala:152)
... 20 more
Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.xerial.snappy.Snappy
at org.apache.spark.io.SnappyCompressionCodec$.liftedTree1$1(CompressionCodec.scala:169)
... 23 more
</pre>
I can see snappy-java and snappy-0.2 in the classpath. I am running using:
dse spark --conf spark.cassandra.auth.username= --conf spark.cassandra.auth.password=
What could cause this error?
In my case this error was caused by /tmp being mounted noexec. Setting either java.io.tmpdir or org.xerial.snappy.tempdir in my spark executor options fixed the problem.

Kafka-cassandra connector fails after confluent 3.3 upgrade

The Cassandra connector fails after confluent upgrade to 3.3.0. The version of Cassandra driver is 3.3. The stack is given below.
[2017-09-14 08:56:28,123] ERROR java.lang.reflect.InvocationTargetException
(com.cantiz.nucleus.kafka.connector.cassandra.CassandraSinkTask:72)
java.lang.RuntimeException: java.lang.reflect.InvocationTargetException
at com.google.common.base.Throwables.propagate(Throwables.java:240)
at com.datastax.driver.core.NettyUtil.newEventLoopGroupInstance(NettyUtil.java:136)
at com.datastax.driver.core.NettyOptions.eventLoopGroup(NettyOptions.java:99)
at com.datastax.driver.core.Connection$Factory.<init>(Connection.java:774)
at com.datastax.driver.core.Cluster$Manager.init(Cluster.java:1446)
at com.datastax.driver.core.Cluster.init(Cluster.java:159)
at com.datastax.driver.core.Cluster.connectAsync(Cluster.java:330)
at com.datastax.driver.core.Cluster.connectAsync(Cluster.java:305)
at com.datastax.driver.core.Cluster.connect(Cluster.java:247)
at com.attinad.cantiz.iot.historian.cassandra.session.CassandraSessionManager.connect(CassandraSessionManager.java:33)
at com.cantiz.nucleus.kafka.connector.cassandra.CassandraSinkTask.start(CassandraSinkTask.java:61)
at org.apache.kafka.connect.runtime.WorkerSinkTask.initializeAndStart(WorkerSinkTask.java:232)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:145)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:146)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:190)
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.lang.reflect.InvocationTargetException
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 com.datastax.driver.core.NettyUtil.newEventLoopGroupInstance(NettyUtil.java:134)
... 18 more
Caused by: java.lang.NoClassDefFoundError: Could not initialize class io.netty.channel.epoll.EpollEventLoop
at io.netty.channel.epoll.EpollEventLoopGroup.newChild(EpollEventLoopGroup.java:71)
at io.netty.util.concurrent.MultithreadEventExecutorGroup.<init>(MultithreadEventExecutorGroup.java:64)
at io.netty.channel.MultithreadEventLoopGroup.<init>(MultithreadEventLoopGroup.java:50)
at io.netty.channel.epoll.EpollEventLoopGroup.<init>(EpollEventLoopGroup.java:56)
at io.netty.channel.epoll.EpollEventLoopGroup.<init>(EpollEventLoopGroup.java:48)
... 23 more
[2017-09-14 08:56:28,125] INFO Sink task WorkerSinkTask{id=cassandra-thing-event-desc-3} finished initialization and start (org.apache.kafka.connect.runtime.WorkerSinkTask:233)
[2017-09-14 08:56:28,123] ERROR java.lang.reflect.InvocationTargetException (com.cantiz.nucleus.kafka.connector.cassandra.CassandraSinkTask:72)
java.lang.RuntimeException: java.lang.reflect.InvocationTargetException
I have tried by updating the guava and io.netty dependencies, but it doesn't resolved the issue.
The issue was due to the Cassandra driver 3.3.0 uses Netty 4.0.47.Final instead of Netty 4.0.44.Final. Resolved the issue by excluding the Netty dependencies and added Netty 4.0.44.Final as the required dependency. Which was already reported by some users.
cassandra-1535

JavaHiveContext inssue in spark

I used
spark 1.2.1
hadoop 2.3.0-cdh5.0.2
hbase 0.96.1.1-cdh5.0.2
when I run spark app, it always show the below exception.
Actually I have
org.apache.hbase
hbase-protocol
And protobuf-java 2.5.0 has been build to spark assemble jar.
spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, cfswps1d-phys.nam.nsroot.net): java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/protobuf/generated/MasterProtos$MasterService$BlockingInterface
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:186)
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:377)
at org.apache.hadoop.hbase.client.HConnectionManager.createConnection(HConnectionManager.java:366)
at org.apache.hadoop.hbase.client.HConnectionManager.getConnection(HConnectionManager.java:247)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:188)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:150)
at org.apache.hadoop.hbase.mapreduce.TableInputFormat.setConf(TableInputFormat.java:101)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:130)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:107)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:69)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:247)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:61)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:245)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
at java.lang.Thread.run(Thread.java:722)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.protobuf.generated.MasterProtos$MasterService$BlockingInterface
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:423)
at java.lang.ClassLoader.loadClass(ClassLoader.java:356)
... 23 more
You will need to add the classes you are referencing in your program that are mentioned in the error: $MasterService$BlockingInterface to your Spark Conf File:
spark.driver.extraClassPath=
You can read more about the extraClassPath option on the spark site.
Note: In client mode, this config must not be set through the SparkConf directly in your application, because the driver JVM has already started at that point. Instead, please set this through the --driver-class-path command line option or in your default properties file.="whatever jar file directory or class files"

Spark 1.1.0 on cdh5.1.3 does not work in yarn-cluster mode

I am having CDH 5.1 (Hadoop 2.3.0-cdh5.1.3) installed on my cluster, version:
I have installed and configured a prebuilt version of Spark 1.1.0 (Apache Version), built for hadoop 2.3 on my cluster.
when I run the Pi example in the ‘client mode’, it runs successfully, but it fails in the ‘yarn-cluster’ mode. The spark job is successfully submitted, but fails after polling the application master for sometime:
More Logs:
Application application_1415193640322_0016 failed 2 times due to Error launching appattempt_1415193640322_0016_000002. Got exception: org.apache.hadoop.yarn.exceptions.YarnException: java.io.EOFException
at org.apache.hadoop.yarn.ipc.RPCUtil.getRemoteException(RPCUtil.java:38)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.startContainers(ContainerManagerImpl.java:710)
at org.apache.hadoop.yarn.api.impl.pb.service.ContainerManagementProtocolPBServiceImpl.startContainers(ContainerManagementProtocolPBServiceImpl.java:60)
at org.apache.hadoop.yarn.proto.ContainerManagementProtocol$ContainerManagementProtocolService$2.callBlockingMethod(ContainerManagementProtocol.java:95)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)
Caused by: java.io.EOFException
at java.io.DataInputStream.readFully(DataInputStream.java:197)
at java.io.DataInputStream.readUTF(DataInputStream.java:609)
at java.io.DataInputStream.readUTF(DataInputStream.java:564)
at org.apache.hadoop.yarn.security.ContainerTokenIdentifier.readFields(ContainerTokenIdentifier.java:151)
at org.apache.hadoop.security.token.Token.decodeIdentifier(Token.java:142)
at org.apache.hadoop.yarn.server.utils.BuilderUtils.newContainerTokenIdentifier(BuilderUtils.java:262)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.startContainers(ContainerManagerImpl.java:696)
... 10 more
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
at org.apache.hadoop.yarn.ipc.RPCUtil.instantiateException(RPCUtil.java:53)
at org.apache.hadoop.yarn.ipc.RPCUtil.unwrapAndThrowException(RPCUtil.java:101)
at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.startContainers(ContainerManagementProtocolPBClientImpl.java:99)
at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.launch(AMLauncher.java:118)
at org.apache.hadoop.yarn.server.resourcemanager.amlauncher.AMLauncher.run(AMLauncher.java:249)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)
Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.yarn.exceptions.YarnException): java.io.EOFException
at org.apache.hadoop.yarn.ipc.RPCUtil.getRemoteException(RPCUtil.java:38)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.startContainers(ContainerManagerImpl.java:710)
at org.apache.hadoop.yarn.api.impl.pb.service.ContainerManagementProtocolPBServiceImpl.startContainers(ContainerManagementProtocolPBServiceImpl.java:60)
at org.apache.hadoop.yarn.proto.ContainerManagementProtocol$ContainerManagementProtocolService$2.callBlockingMethod(ContainerManagementProtocol.java:95)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007)
Caused by: java.io.EOFException
at java.io.DataInputStream.readFully(DataInputStream.java:197)
at java.io.DataInputStream.readUTF(DataInputStream.java:609)
at java.io.DataInputStream.readUTF(DataInputStream.java:564)
at org.apache.hadoop.yarn.security.ContainerTokenIdentifier.readFields(ContainerTokenIdentifier.java:151)
at org.apache.hadoop.security.token.Token.decodeIdentifier(Token.java:142)
at org.apache.hadoop.yarn.server.utils.BuilderUtils.newContainerTokenIdentifier(BuilderUtils.java:262)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.ContainerManagerImpl.startContainers(ContainerManagerImpl.java:696)
... 10 more
at org.apache.hadoop.ipc.Client.call(Client.java:1409)
at org.apache.hadoop.ipc.Client.call(Client.java:1362)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206)
at com.sun.proxy.$Proxy69.startContainers(Unknown Source)
at org.apache.hadoop.yarn.api.impl.pb.client.ContainerManagementProtocolPBClientImpl.startContainers(ContainerManagementProtocolPBClientImpl.java:96)
... 5 more
. Failing the application.
When I go to node Manager logs:
Log Type: stderr
Log Length: 87
Error: Could not find or load main class org.apache.spark.deploy.yarn.ExecutorLauncher
Can you please suggest any solution.Do you think I should compile the spark code on my cluster. Or should I use Spark provided with CDH5.1.
Any help will be appreciated!
spark-shell does not work with spark yarn-cluster mode. You should add --master yarn-client
Example:
path/to/pyspark --master yarn-client

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