I want to submit a job to jobtracker using java (instead of hadoop) so that I can debug classpath issue.
export HADOOP_CLASSPATH=hbase-util-0.0.1-SNAPSHOT.jar:/etc/hadoop/conf:hbase-util-0.0.1-SNAPSHOT.jar:/usr/lib/hadoop/*:/usr/lib/hadoop/lib/*:/usr/lib/hadoop-mapreduce/*:/usr/lib/hbase/*:/usr/lib/hadoop/etc/hadoop/mapred-site.xml:/usr/lib/zookeeper/zookeeper.jar:/usr/lib/hadoop-0.20-mapreduce/lib/hadoop-fairscheduler-2.0.0-mr1-cdh4.0.1.jar:/usr/lib/hbase/hbase-0.92.1-cdh4.0.1-security.jar:/usr/lib/hbase/lib/zookeeper.jar:/usr/lib/hbase/lib:/etc/hbase/conf:/usr/lib/hbase/lib/guava-11.0.2.jar:/usr/lib/hbase/lib/jackson-mapper-asl-1.5.5.jar:/usr/lib/hbase/lib/jackson-core-asl-1.5.5.jar:/usr/lib/hbase:/usr/lib/hadoop/lib/*:/usr/lib/hadoop/.//*:/usr/lib/hadoop-hdfs/./:/usr/lib/hadoop-hdfs/lib/*:/usr/lib/hadoop-hdfs/.//*:/usr/lib/hadoop-yarn/lib/*:/usr/lib/hadoop-yarn/.//*:/usr/lib/hadoop-0.20-mapreduce/./:/usr/lib/hadoop-0.20-mapreduce/lib/*:/usr/lib/hadoop-0.20-mapreduce/.//*
java -cp ${HADOOP_CLASSPATH} org.apache.hadoop.util.RunJar hbase-util-0.0.1-SNAPSHOT.jar hbase.util.RowDiffCounter SRM hdfs://dchilcmsnn01:8020/tmp/hadoop/mapred/temp/job1-temp-1491763074 /tmp/hadoop/mapred/temp/job1-temp-1491763075D SOURCE_MANAGEMENT SOURCE_MANAGEMENT
I get an error
ERROR [main] (UserGroupInformation.java:1235) - PriviledgedActionException as:devuser (auth:SIMPLE) cause:java.io.IOException: Cannot initialize Cluster. Please check your configuration for mapreduce.framework.name and the correspond server addresses.
Adding the following properties does not help. I checked the job configuration page on the jobtracker to get the correct value.
-D mapreduce.framework.name=local
-D mapred.job.tracker=host101:8021
Do I need to pass in the user info as well?
Related
I am running spark 1.5.2 thrift server with Hive-1.2.1 on secured yarn-2.7.2 in windows using below command
spark-submit --class org.apache.spark.sql.hive.thriftserver.HiveThriftServer2 --master yarn-client "C:\Spark\lib\spark-hive-thriftserver_2.10-1.5.2.jar"
It stopped with below exception,
16/04/11 12:31:00 INFO AbstractService: Service:HiveServer2 is started.
16/04/11 12:31:00 INFO HiveThriftServer2: HiveThriftServer2 started
16/04/11 12:31:00 ERROR ThriftCLIService: Error starting HiveServer2: could not start ThriftBinaryCLIService
org.apache.thrift.transport.TTransportException: Could not create ServerSocket on address hostname1/192.168.65.7:10000.
at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:109)
at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:91)
at org.apache.thrift.transport.TServerSocket.<init>(TServerSocket.java:87)
at org.apache.hive.service.auth.HiveAuthFactory.getServerSocket(HiveAuthFactory.java:241)
at org.apache.hive.service.cli.thrift.ThriftBinaryCLIService.run(ThriftBinaryCLIService.java:66)
at java.lang.Thread.run(Thread.java:744)
16/04/11 12:31:00 INFO HiveServer2: Shutting down HiveServer2
16/04/11 12:31:00 INFO AbstractService: Service:ThriftBinaryCLIService is stopped.
How to solve this.
Thanks.
Possible cause of the problem is that the port 10000 is already in use (as mentioned in your comment that Hiveserver is already running, which uses by default the port 10000).You could change it (to 10005 for example) when running thrift server.
I would recommend that you start the thrift server as follow:
$cd $SPARK_HOME
$./sbin/start-thriftserver.sh --hiveconf hive.server2.thrift.port=10005 --master yarn-client
Please refer to the documentation here
I'm working on a windows machine trying to set up a spark teststack - the aim is to read/write file to an s3 bucket.
I'm running 1.6.1. When I run spark-shell I now receive an error:
16/03/22 15:19:48 INFO metastore.HiveMetaStore: 0: get_functions: db=default pat=*
16/03/22 15:19:48 INFO HiveMetaStore.audit: ugi=Administrator ip=unknown-ip-addr cmd=get_functions: db=default pat=*
16/03/22 15:19:48 INFO DataNucleus.Datastore: The class "org.apache.hadoop.hive.metastore.model.MResourceUri" is tagged as "embedded-only" so does not have its own datastore table.
java.lang.RuntimeException: java.io.IOException: No FileSystem for scheme: s3n
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
at org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:204)
doing some reading lead me to believe that I need to add the aws jars as an argument - the jars are included in the hadoop structure.
I then run C:\Spark\hadoop\share\hadoop\tools\lib>spark-shell --jars aws-java-sdk-1.7.4.jar, hadoop-aws-2.7.1.jar
thinking that I'm now including the jars and so it must be ok...how foolish of me - I get the exact same error.
I then tried to include just the hadoop-aws jar and all kinds of exceptions were thrown including not being able to instantiate hive, s3a couldn't be instantiated, awscredentials wasn't happy and so on.
I'm at a bit of a loss, if anyone can shed some light on what I might be doing wrong I'll happily buy them a pint :)
EDIT:
I've since updates the core-site.xml file, by removing the fs.defaultFS property witha value os s3n://mybucketname, spark will now load.
In it's stead i have the hdfs://0.0.0.0:19000 which is working fine.
Soi I guess my question changes from 'gaaaaah to 'gaaaaah, how does one include s3 correctly as a filesystem'
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 trying to set up hadoop 2.6.2. Almost everything has been setup.
My Ubuntu version: 15.10
My hadoop path is /usr/local/hadoop/hadoop-2.6.2
Java path is /usr/local/java/jdk1.8.0_65
I have mentioned java and hadoop path in /etc/profile
I have edited 4 files inside hadoop-2.6.2/etc/hadoop: core-site.xml, hadoop-env.sh, hdfs-site.xml and mapred-site.xml
But when I try to execute following command from hadoop site
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.2.jar grep input output 'dfs[a-z.]+'
Then it gives me following error
INFO Configuration.deprecation: session.id is deprecated. Instead, use dfs.metrics.session-id
15/11/25 07:57:09 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId=
java.net.ConnectException: Call From jass-VirtualBox/127.0.1.1 to localhost:9000 failed on connection exception: java.net.ConnectException: Connection refused; For more details see: http://wiki.apache.org/hadoop/ConnectionRefused
What can be the reason?
I had the same problem but on ubuntu 14.04 LTS.
I have solved it with following commands:
sbin/stop-dfs.sh
bin/hdfs namenode -format
sbin/start-dfs.sh
The first command will stop all daemons.
The second will format file system.
The third will start all daemons again.
I'm trying to configure Oozie to work on my hadoop-2.7.1 cluster. Everything seems to work fine, YARN, Hue, MapReduce and Spark. Jobs send by yarn jar... command finish correctly, but sending some job with oozie, either by CLI oozie job ... -run or by Hue, the job is stuck at 33% and node logs show this:
2015-11-06 06:08:56,121 INFO [main] org.apache.hadoop.yarn.client.RMProxy: Connecting to ResourceManager at localhost/127.0.0.1:18030
2015-11-06 06:08:57,165 INFO [main] org.apache.hadoop.ipc.Client: Retrying connect to server: localhost/127.0.0.1:18030. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
...
I don't use 18030 port anywhere in my configuration, probably I should change its hostname from localhost to the network hostname. But where do I configure it? I've tried to change yarn.resourcemanager.scheduler.address, but that wasn't it.
EDIT:
I run oozie job -config examples/apps/shell/job.properties -run with job.properties containing:
nameNode=hdfs://master:8020
jobTracker=master:8032
queueName=default
examplesRoot=examples
oozie.libpath=/data/shared/hadoop-2.7.1/etc/hadoop
oozie.wf.application.path=${nameNode}/user/${user.name}/${examplesRoot}/apps/shell
The error is occurring while trying to contact the Resource Manager.
The above mentioned log line is being printed in RMProxy.java:
LOG.info("Connecting to ResourceManager at " + rmAddress);
When you are using Oozie with MRv1, in "job.properties" file, the value of jobTracker is set to the Job Tracker's address:
jobTracker={JobTracker Host}:{JobTracker Port}
But, when you migrate your Oozie job to MRv2, you need to change "job.properties", to make jobTracker value to point to Resource Manager address:
jobTracker={RM Host}:{RM Port}
Please refer to the link here: https://support.pivotal.io/hc/en-us/articles/203355837-How-to-run-a-MapReduce-jar-using-Oozie-workflow
jobTracker = Variable to define the resource manager address in case of Yarn implementation. Format: <resourcemanager_hostname>:<port>
EDIT:
I went through the Hadoop source code. The only place where port "18030" is being used is in "SLS" (Yarn Scheduler Load Simulator).
SLS has a yarn-site.xml file (present at location: \hadoop-tools\hadoop-sls\src\main\sample-conf\yarn-site.xml), which has following configuration:
<property>
<description>The address of the scheduler interface.</description>
<name>yarn.resourcemanager.scheduler.address</name>
<value>localhost:18030</value>
</property>
From your description, it seems the yarn-site.xml that is being used, is similar to the one used by SLS.