We have requirement to restrict mappers bandwidth when distcp from s3 to local cluster.
So I downloaded hadoop-distcp-2.5.0-cdh5.2.0-20141009.063640-188.jar from https://repository.cloudera.com
Here is the link : https://repository.cloudera.com/artifactory/public/org/apache/hadoop/hadoop-distcp/2.5.0-cdh5.2.0-SNAPSHOT/hadoop-distcp-2.5.0-cdh5.2.0-20141009.063640-188.jar
then ran following distcp command but got some error. Don't know if I am doing anything wrong g
export HADOOP_USER_CLASSPATH_FIRST=true && HADOOP_CLASSPATH=hadoop-distcp-2.5.0-cdh5.2.0-20141009.063640-188.jar hadoop org.apache.hadoop.tools.DistCp -bandwidth 1 s3n://com.xyz/2014/10/23/ hdfs:///user/abc/2014-10-23/
14/11/05 09:54:55 INFO tools.DistCp: Input Options: DistCpOptions{atomicCommit=false, syncFolder=false, deleteMissing=false, ignoreFailures=false, maxMaps=20, sslConfigurationFile='null', copyStrategy='uniformsize', sourceFileListing=null, sourcePaths=[s3n://com.xyz.rtb/2014/10/23], targetPath=hdfs:/user/abc/2014-10-23, targetPathExists=true, preserveRawXattrs=false}
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(Lorg/apache/hadoop/mapreduce/Cluster;Lorg/apache/hadoop/conf/Configuration;)Lorg/apache/hadoop/fs/Path;
at org.apache.hadoop.tools.DistCp.createMetaFolderPath(DistCp.java:379)
at org.apache.hadoop.tools.DistCp.execute(DistCp.java:155)
at org.apache.hadoop.tools.DistCp.run(DistCp.java:121)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.tools.DistCp.main(DistCp.java:401)
Any help
https://groups.google.com/a/cloudera.org/forum/#!topic/cdh-user/Ld60TY_Z-Jg
The DistCp2 is the default and only DistCp in MR2. It isn't called DistCp2, but just DistCp.
The command 'hadoop distcp' in MR2 runs DistCp2.
Related
here is my error log:
$ /spark-submit --master yarn --deploy-mode cluster pi.py
...
2021-12-23 01:31:04,330 INFO retry.RetryInvocationHandler: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.ipc.StandbyException): Operation category WRITE is not supported in state standby. Visit https://s.apache.org/sbnn-error
at org.apache.hadoop.hdfs.server.namenode.ha.StandbyState.checkOperation(StandbyState.java:88)
at org.apache.hadoop.hdfs.server.namenode.NameNode$NameNodeHAContext.checkOperation(NameNode.java:1954)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkOperation(FSNamesystem.java:1442)
at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.setPermission(FSNamesystem.java:1895)
at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.setPermission(NameNodeRpcServer.java:860)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.setPermission(ClientNamenodeProtocolServerSideTranslatorPB.java:526)
at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:524)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1025)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:876)
at org.apache.hadoop.ipc.Server$RpcCall.run(Server.java:822)
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:1730)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2682)
, while invoking ClientNamenodeProtocolTranslatorPB.setPermission over master/172.17.0.2:8020. Trying to failover immediately.
...
Why I get this erorr??
NOTE. Spark master is run 'master', so spark-submit command run in 'master'
NOTE. Spark worker is run 'worker1' and 'worker2' and 'worker3'
NOTE. ResourceManager run in 'master' and 'master2'
ADD. When print above error log, master2's DFSZKFailoverController is disappeard to jps command result.
ADD. When print above error log, master's Namenode is disappeard to jps command result.
It happens when Spark is unable to access HDFS.
If configured correctly HDFS client will handle the StandbyException by attempting to fail itself over to the other NameNode in the HA, and then it will reattempt the operation.
Replace active Namenode URI manually and check if you are still having the same error, if not HA is not properly configured.
I'm trying to get Hadoop running 'Local Mode' on my Windows 10 machine.
When I run the command:
bin/hadoop namenode -format
I get the following error message, and the folder hadoop which contains hdfs Isn't being created. Why do I get this error?
C:\hadoop-2.3.0\bin>hadoop namenode -format
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.
18/04/12 01:52:41 FATAL namenode.NameNode: Exception in namenode join
java.lang.ExceptionInInitializerError
at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:76)
at org.apache.hadoop.hdfs.server.namenode.NameNode.main(NameNode.java:1324)
Caused by: java.lang.StringIndexOutOfBoundsException: begin 0, end 3, length 2
at java.base/java.lang.String.checkBoundsBeginEnd(String.java:3107)
at java.base/java.lang.String.substring(String.java:1873)
at org.apache.hadoop.util.Shell.<clinit>(Shell.java:49)
... 2 more
Exception in thread "main" java.lang.NoClassDefFoundError: Could not initialize class org.apache.hadoop.util.StringUtils
at org.apache.hadoop.util.ExitUtil.terminate(ExitUtil.java:170)
at org.apache.hadoop.hdfs.server.namenode.NameNode.main(NameNode.java:1331)
I have recently setup an Multinode Hadoop HA (Namenode & ResourceManager) Cluster (3 node) , The installation is completed and all daemon's run as expected
Daemon in NN1 :
2945 JournalNode
3137 DFSZKFailoverController
6385 Jps
3338 NodeManager
22730 QuorumPeerMain
2747 DataNode
3228 ResourceManager
2636 NameNode
Daemon in NN2 :
19620 Jps
3894 QuorumPeerMain
16966 ResourceManager
16808 NodeManager
16475 DataNode
16572 JournalNode
17101 NameNode
16702 DFSZKFailoverController
Daemon in DN1 :
12228 QuorumPeerMain
29060 NodeManager
28858 DataNode
29644 Jps
28956 JournalNode
I am interested to run Spark Jobs on my Yarn setup.
I have installed Scala and Spark on my NN1 and i can successfully start my spark by issuing the following command
$ spark-shell
Now , i have no knowledge about SPARK , i would like to know how can i run Spark on Yarn. I have read that we can run it as either yarn-client or yarn-cluster.
Should i install the spark & scala on all nodes in the Cluster (NN2 & DN1) to run spark on Yarn client or cluster ? If No then how can i submit the Spark Jobs from NN1 (Primary namenode) host.
I have copied over the Spark assembly JAR to the HDFS as suggested in a blog i read ,
-rw-r--r-- 3 hduser supergroup 187548272 2016-04-04 15:56 /user/spark/share/lib/spark-assembly.jar
Also created SPARK_JAR variable in my bashrc file.I tried to submit the Spark Job as yarn-client but i end up with error as below , I have no idea on if i am doing it all correct or need other settings to be done first.
[hduser#ptfhadoop01v spark-1.6.0]$ ./bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn --deploy-mode client --driver-memory 4g --executor-memory 2g --executor-cores 2 --queue thequeue lib/spark-examples*.jar 10
16/04/04 17:27:50 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
16/04/04 17:27:51 WARN SparkConf:
SPARK_WORKER_INSTANCES was detected (set to '2').
This is deprecated in Spark 1.0+.
Please instead use:
- ./spark-submit with --num-executors to specify the number of executors
- Or set SPARK_EXECUTOR_INSTANCES
- spark.executor.instances to configure the number of instances in the spark config.
16/04/04 17:27:54 WARN Client: SPARK_JAR detected in the system environment. This variable has been deprecated in favor of the spark.yarn.jar configuration variable.
16/04/04 17:27:54 WARN Client: SPARK_JAR detected in the system environment. This variable has been deprecated in favor of the spark.yarn.jar configuration variable.
16/04/04 17:27:57 ERROR SparkContext: Error initializing SparkContext.
org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:29)
at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
16/04/04 17:27:58 WARN MetricsSystem: Stopping a MetricsSystem that is not running
Exception in thread "main" org.apache.spark.SparkException: Yarn application has already ended! It might have been killed or unable to launch application master.
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.waitForApplication(YarnClientSchedulerBackend.scala:124)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:64)
at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:29)
at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
[hduser#ptfhadoop01v spark-1.6.0]$
Please help me to resolve this and on how to run Spark on Yarn as client or as Cluster mode.
Now , i have no knowledge about SPARK , i would like to know how can i run Spark on Yarn. I have read that we can run it as either yarn-client or yarn-cluster.
It's highly recommended that you read the official documentation of Spark on YARN at http://spark.apache.org/docs/latest/running-on-yarn.html.
You can use spark-shell with --master yarn to connect to YARN. You need to have proper configuration files on the machine you do spark-shell from, e.g. yarn-site.xml.
Should i install the spark & scala on all nodes in the Cluster (NN2 & DN1) to run spark on Yarn client or cluster ?
No. You don't have to install anything on YARN since Spark will distribute necessary files for you.
If No then how can i submit the Spark Jobs from NN1 (Primary namenode) host.
Start with spark-shell --master yarn and see if you can execute the following code:
(0 to 5).toDF.show
If you see a table-like output, you're done. Else, provide the error(s).
Also created SPARK_JAR variable in my bashrc file.I tried to submit the Spark Job as yarn-client but i end up with error as below , I have no idea on if i am doing it all correct or need other settings to be done first.
Remove the SPARK_JAR variable. Don't use it as it's not needed and might cause troubles. Read the official documentation at http://spark.apache.org/docs/latest/running-on-yarn.html to understand the basics of Spark on YARN and beyond.
By adding this property into hdfs-site.xml , it solved the issue
<property>
<name>dfs.client.failover.proxy.provider.mycluster</name>
<value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
</property>
In the client mode you'd run it something like below for simple word count example
spark-submit --class org.sparkexample.WordCount --master yarn-client wordcount-sample-plain-1.0-SNAPSHOT.jar input.txt output.txt
I think you got the spark-submit command wrong there. There is no --master yarn set up.
I would highly recommend using an automated provisioning tool to set up your cluster quickly instead of a manual approach.
Refer to Cloudera or Hortonworks tools. You can use it to get setup in no time and be able to submit jobs easily without doing all these configurations manually.
Reference: https://hortonworks.com/products/hdp/
I have Hadoop version 2.6.3 and pig-0.6.0
I have all the daemons up and running in Single node cluster.
After firing the pig command . The pig is only connecting to file:/// not hdfs
could you please tell me how to make it to connect hdfs
below is the INFO log that could i see
2016-01-10 20:58:30,431 [main] INFO org.apache.pig.backend.hadoop.executionengine.HExecutionEngine - Connecting to hadoop file system at: file:///
2016-01-10 20:58:30,650 [main] INFO org.apache.hadoop.metrics.jvm.JvmMetrics - Initializing JVM Metrics with processName=JobTracker, sessionId=
when I hit the command in GRUNT
grunt> ls hdfs://localhost:54310/
2016-01-10 21:05:41,059 [main] ERROR org.apache.pig.tools.grunt.Grunt - ERROR 2999: Unexpected internal error. Wrong FS: hdfs://localhost:54310/, expected: file:///
Details at logfile: /home/hguna/pig_1452488310172.log
I have no clue has to why it is expecting file:///
ERROR 2999: Unexpected internal error. Wrong FS: hdfs://localhost:54310/, expected: file:///
java.lang.IllegalArgumentException: Wrong FS: hdfs://localhost:54310/, expected: file:///
at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:305)
at org.apache.hadoop.fs.RawLocalFileSystem.pathToFile(RawLocalFileSystem.java:47)
at org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:357)
at org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:245)
at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:643)
at org.apache.pig.backend.hadoop.datastorage.HDataStorage.isContainer(HDataStorage.java:203)
at org.apache.pig.backend.hadoop.datastorage.HDataStorage.asElement(HDataStorage.java:131)
at org.apache.pig.tools.grunt.GruntParser.processLS(GruntParser.java:576)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:304)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:168)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:144)
at org.apache.pig.tools.grunt.Grunt.run(Grunt.java:75)
at org.apache.pig.Main.main(Main.java:352)
Did I configure hadoop correctly ? or some where I am wrong please let me know if there is any file that I need to share . I have done enough researching could not fix it .Btw I am a newbie to Hadoop and pig
please help me .
Thanks
Chek your configuration in hadoop-site.xml, core-site.xml and mapred-site.xml
Use PIG_CLASSPATH to specify addition classpath entries. For eg, to add hadoop configuration files (hadoop-site.xml, core-site.xml) to classpath
export PIG_CLASSPATH=<path_to_hadoop_conf_dir>
you should override default classpath entries by setting PIG_USER_CLASSPATH_FIRST
export PIG_USER_CLASSPATH_FIRST=true
After that you can able to start the grunt shell
I am getting the below error about a file not found. Well...the file exists. I am a newbie with distcp. I am using cloudera FYI.
https://s3.amazonaws.com/test-development/test/201305031003_0_ubuntu.gz
ubuntu#ubuntu:~$ hadoop distcp -i 201305031003_0_ubuntu.gz s3://id:key#test-development/test/201305031003_0_ubuntu.gz
13/05/04 14:54:29 INFO tools.DistCp: srcPaths=[201305031003_0_ubuntu.gz]
13/05/04 14:54:29 INFO tools.DistCp: destPath=s3://id:key#test-development/test/201305031003_0_ubuntu.gz
With failures, global counters are inaccurate; consider running with -i
Copy failed: org.apache.hadoop.mapred.InvalidInputException: Input source 201305031003_0_ubuntu.gz does not exist.
at org.apache.hadoop.tools.DistCp.checkSrcPath(DistCp.java:641)
at org.apache.hadoop.tools.DistCp.copy(DistCp.java:656)
at org.apache.hadoop.tools.DistCp.run(DistCp.java:881)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
at org.apache.hadoop.tools.DistCp.main(DistCp.java:908)
The first param is the source so it should be the path to S3 and the path should be s3n:// and not s3:// (native s3) unless you've written the data to S3 using s3:// (block file system)