I deployed Hadoop 0.23.6 in Ubuntu 12.04 LTS. I am able to copy files across and do file manipulation. I am using YARN for mapreduce.
I am getting the following error, when I am trying to run any mapreduce application using the hadoop-mapreduce-examples-0.23.6.jar
Command used:
bin/hadoop jar hadoop-mapreduce-examples-0.23.6.jar randomwriter -Dmapreduce.randomwriter.mapsperhost=1 -Dmapreduce.job.user.name=$USER -Dmapreduce.randomwriter.bytespermap=10000 -Ddfs.blocksize=536870912 -Ddfs.block.size=536870912 -libjars hadoop-mapreduce-client-app-0.23.6.jar output
Hadoop version: 0.23.6
Container launch failed for container_1364342550899_0001_01_000002 : java.lang.IllegalStateException: Invalid shuffle port number -1 returned for attempt_1364342550899_0001_m_000000_0
Verify your yarn-site.xml configuration. You need to have below properties configured.
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce.shuffle</value>
</property>
<property>
<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
<value>org.apache.hadoop.mapred.ShuffleHandler</value>
</property>
For more details, have look at jira
https://issues.apache.org/jira/browse/MAPREDUCE-2983?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
Related
I'm running spark on yarn.
My spark versoin is 2.1.1, and hadoop version is apache hadoop 2.7.3.
when a spark job running on yarn in cluster mode, I can view the Executor's log via the stdout/stderr links like
http://hadoop-slave1:8042/node/containerlogs/container_1500432603585_0148_01_000001/hadoop/stderr?start=-4096
but when the job completed, view the Executor's log via the stdout/stderr links will get an error page like
Redirecting to log server for container_1500432603585_0148_01_000001
java.lang.Exception: Unknown container. Container either has not
started or has already completed or doesn't belong to this node at
all.
And then it will auto redirect to
http://hadoop-slave1:8042/node/hadoop-master:19888/jobhistory/logs/hadoop-slave1:36207/container_1500432603585_0148_01_000001/container_1500432603585_0148_01_000001/hadoop
and get other error page like
Sorry, got error 404
Please consult RFC 2616 for meanings of the error code.
Error Details
org.apache.hadoop.yarn.webapp.WebAppException: /hadoop-master:19888/jobhistory/logs/hadoop-slave1:50284/container_1500432603585_0145_01_000002/container_1500432603585_0145_01_000002/oryx: controller for hadoop-master:19888 not found
at org.apache.hadoop.yarn.webapp.Router.resolveDefault(Router.java:232)
at org.apache.hadoop.yarn.webapp.Router.resolve(Router.java:140)
at org.apache.hadoop.yarn.webapp.Dispatcher.service(Dispatcher.java:134)
at javax.servlet.http.HttpServlet.service(HttpServlet.java:820)
at com.google.inject.servlet.ServletDefinition.doService(ServletDefinition.java:263)
Actually i can visit the Executor's log using this url when the
spark job completed:
http://hadoop-master:19888/jobhistory/logs/hadoop-slave1:36207/container_1500432603585_0148_01_000001/container_1500432603585_0148_01_000001/hadoop
it's a little different from the previous url, it remove the head "hadoop-slave1:8042/node/".
Does anyone knows another better method to view the spark logs when the spark job completed ?
I have configed the yarn-site.xml
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop-master</value>
<description>The hostname of the RM.</description>
</property>
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<property>
<name>yarn.log.server.url</name>
<value>${yarn.resourcemanager.hostname}:19888/jobhistory/logs</value>
</property>
and mapred-site.xml
<property>
<name>mapreduce.jobhistory.address</name>
<value>${yarn.resourcemanager.hostname}:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.admin.address </name>
<value>${yarn.resourcemanager.hostname}:10033</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>${yarn.resourcemanager.hostname}:19888</value>
</property>
I have encounter this situation.view the completed spark steaming job logs through YARN UI History tab, but get error below:
Failed while trying to construct the redirect url to the log server. Log Server url may not be configured
java.lang.Exception: Unknown container. Container either has not started or has already completed or doesn't belong to this node at all.
The solution is configure the file yarn-site.xml. Add key yarn.log.server.url :
<property>
<name>yarn.log.server.url</name>
<value>http://<LOG_SERVER_HOSTNAME>:19888/jobhistory/logs</value>
</property>
Then restart yarn cluster to reload yarn-site.xml.(this step is important!)
I have setup a new cluster (using HDP on Windows ) and I am encountering a new problem which I haven't seen before.
When I run a simple word count problem from hadoop-examples jar the MapreduceV2 job fails with below error
5/05/16 18:58:29 INFO mapreduce.Job: Task Id : attempt_1431802381254_0001_r_000000_0, Status : FAILED
Error: org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#15
Now,when I go to Application Master tracker and dig into logs I find that reducer is expecting a gzip file but the mapper output wasn’t
2015-05-16 18:45:20,864 WARN [fetcher#1] org.apache.hadoop.mapreduce.task.reduce.Fetcher: Failed to shuffle output of attempt_1431791182314_0011_m_000000_0 from <url>:13562
java.io.IOException: not a gzip file
When I specifically drill into Map phase log,I see this
2015-05-16 18:45:09,532 WARN [main] org.apache.hadoop.io.compress.zlib.ZlibFactory: Failed to load/initialize native-zlib library
2015-05-16 18:45:09,532 INFO [main] org.apache.hadoop.io.compress.CodecPool: Got brand-new compressor [.gz]
2015-05-16 18:45:09,532 WARN [main] org.apache.hadoop.mapred.IFile: Could not obtain compressor from CodecPool
I have the following configurations in my core-site.xml
<property>
<name>io.compression.codecs</name>
<value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.BZip2Codec</value>
<description>A list of the compression codec classes that can be used for compression/decompression.</description>
</property>
and in mapred-site.xml
<property>
<name>mapred.compress.map.output</name>
<value>true</value>
</property>
<property>
<name>mapred.map.output.compression.codec</name>
<value>org.apache.hadoop.io.compress.GzipCodec</value>
</property>
<property>
<name>mapred.output.compression.type</name>
<value>BLOCK</value>
</property>
<property>
<name>mapred.output.compress</name>
<value>true</value>
</property>
<property>
<name>mapred.output.compression.codec</name>
<value>org.apache.hadoop.io.compress.GzipCodec</value>
</property>
Now I realise this is pointing to error in native zlib dll loading,so I ran the job overriding options to run without compression and it does work.
I have downloaded the zlib.dll from zlib site and placed it in Hadoop/bin , C:\system32 and C:\SystemWOW64 folders and restarted the cluster services but still I have same error. Not sure why.I would appreciate any ideas to debug this further and resolve it
Hadoop 2.7.2
I ran into the same issue, when I built and ran hadoop 2.7.2 on windows 7. To resolve the issue you need to do the following:
1) On the Build Machine: set ZLIB_HOME to the zlib headers folder zlib_unzip_folder\zlib128-dll\include and build the distribution.
2) On the Run Machine make zlib1.dll zlib_unzip_folder\zlib128-dll\zlib1.dll available on the path.
I used zlib 1.2.8 and the download link can be found here: http://zlib.net/zlib128-dll.zip
Hadoop 2.4.1
This issue can also be reproduced on an older version of HADOOP by setting native lib as false and forcing map output to be compressed. For More detail you can see here: https://issues.apache.org/jira/browse/HADOOP-11334
I installed the hadoop CDH3u6 on 3 machines, but when I start the hadoop, I checked the namenode log, and find:
2014-06-22 13:58:39,535 WARN org.apache.hadoop.util.PluginDispatcher: Unable to load dfs.namenode.plugins plugins
So the hadoop thrift server can not start! and the Hue give an exception:
Exception communicating with HDFS Namenode HUE Plugin at x.x.x.x:50903: Could not connect to x.x.x.x:50903
My hadoop configs are as follows:
1. hdfs-site.xml
<property>
<name>dfs.namenode.plugins</name>
<value>org.apache.hadoop.thriftfs.NamenodePlugin</value>
<description>Comma-separated list of namenode plugins to be activated.
</description>
</property>
<property>
<name>dfs.datanode.plugins</name>
<value>org.apache.hadoop.thriftfs.DatanodePlugin</value>
<description>Comma-separated list of datanode plugins to be activated.
</description>
</property>
<property>
<name>dfs.thrift.address</name>
<value>0.0.0.0:50903</value>
</property>
Is the plugin jar installed? e.g. /usr/lib/hadoop/lib/hue-plugins-2.2.0-SNAPSHOT.jar
Could you list the hadoop packages?
I am trying to install hbase-0.96.0-hadoop2 on Hadoop 2.2.0. While I am trying to start my HBase. HBase is giving following error.
master: log4j:ERROR Could not find value for key log4j.appender.DRFAS
master: log4j:ERROR Could not instantiate appender named "DRFAS".
log4j:ERROR Could not find value for key log4j.appender.DRFAS
log4j:ERROR Could not instantiate appender named "DRFAS".
When I am doing JPS Linux is showing following processes:
17422 JobHistoryServer
11461 NameNode
31375 Jps
12127 ResourceManager
11671 DataNode
30077 HRegionServer
12344 NodeManager
11935 SecondaryNameNode
30948 HQuorumPeer
Here is my hbase-site.xml configuraiton:
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://master:9000/hbase</value>
<description>The directory shared by RegionServers.
</description>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
<description>The mode the cluster will be in. Possible values are
false: standalone and pseudo-distributed setups with managed Zookeeper
true: fully-distributed with unmanaged Zookeeper Quorum (see hbase-env.sh)
</description>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>master</value>
</property>
<property>
<name>zookeeper.znode.parent</name>
<value>/master</value>
</property>
</configuration>
Try these two methods .
Stop your hbase demon and clear the hbase log files which was located
in /tmp/ folder delete all files which had name hbase in it
after deleting disconnect your machine from internet and try to
start the hbase demon now.
Hbase has this weird issue in some x64 ubuntu machines disconnecting from internet will help in resolving this issue,after startup you can connect to the internet.
now try to access hbase from cli
bin/hbase
As a start, I've installed Hadoop (0.15.2) and setup a cluster of 3 nodes: one each for NameNode, DataNode and the JobTracker. All the daemons are up and running. But when I issue any command I get the above error. For instance, when I do a copyFromLocal, I get the following error:
Am I missing something?
More details:
I am trying to install Hadoop on an NFS file system. I've installed 1.0.4 version and tried running it but to of no avail. The 1.0.4 version doesn't start the datanode. And the log files for the datanode are empty. Hence I switched back to 0.15 version which started all the daemons atleast.
I believe the problem is due to the underlying NFS file system i.e. all the datanodes and masters using the same files and folders. But I am not sure if that is actually the case.
But I don't see any reason why I shouldn't be able to run Hadoop on NFS (after appropriately setting the configuration parameters).
Currently I am trying and figuring out if I could set the name and data directories differently for different machines based on the individual machine names.
Configuration file: (hadoop-site.xml)
<property>
<name>fs.default.name</name>
<value>mumble-12.cs.wisc.edu:9001</value>
</property>
<property>
<name>mapred.job.tracker</name>
<value>mumble-13.cs.wisc.edu:9001</value>
</property>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
<property>
<name>dfs.secondary.info.port</name>
<value>9002</value>
</property>
<property>
<name>dfs.info.port</name>
<value>9003</value>
</property>
<property>
<name>mapred.job.tracker.info.port</name>
<value>9004</value>
</property>
<property>
<name>tasktracker.http.port</name>
<value>9005</value>
</property>
Error using Hadoop 1.0.4 (DataNode doesn't get started):
2013-04-22 18:50:50,438 INFO org.apache.hadoop.ipc.Server: IPC Server handler 7 on 9001, call addBlock(/tmp/hadoop-akshar/mapred/system/jobtracker.info, DFSClient_502734479, null) from 128.105.112.13:37204: error: java.io.IOException: File /tmp/hadoop-akshar/mapred/system/jobtracker.info could only be replicated to 0 nodes, instead of 1
java.io.IOException: File /tmp/hadoop-akshar/mapred/system/jobtracker.info could only be replicated to 0 nodes, instead of 1
Error using Hadoop 0.15.2:
[akshar#mumble-12] (38)$ bin/hadoop fs -copyFromLocal lib/junit-3.8.1.LICENSE.txt input
13/04/17 03:22:11 WARN fs.DFSClient: Error while writing.
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:189)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at java.net.SocketInputStream.read(SocketInputStream.java:203)
at java.io.DataInputStream.readShort(DataInputStream.java:312)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.endBlock(DFSClient.java:1660)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.close(DFSClient.java:1733)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:49)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:64)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:55)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:83)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:140)
at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:826)
at org.apache.hadoop.fs.FsShell.copyFromLocal(FsShell.java:120)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:1360)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:1478)
13/04/17 03:22:12 WARN fs.DFSClient: Error while writing.
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:189)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at java.net.SocketInputStream.read(SocketInputStream.java:203)
at java.io.DataInputStream.readShort(DataInputStream.java:312)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.endBlock(DFSClient.java:1660)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.close(DFSClient.java:1733)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:49)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:64)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:55)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:83)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:140)
at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:826)
at org.apache.hadoop.fs.FsShell.copyFromLocal(FsShell.java:120)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:1360)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:1478)
13/04/17 03:22:12 WARN fs.DFSClient: Error while writing.
java.net.SocketException: Connection reset
at java.net.SocketInputStream.read(SocketInputStream.java:189)
at java.net.SocketInputStream.read(SocketInputStream.java:121)
at java.net.SocketInputStream.read(SocketInputStream.java:203)
at java.io.DataInputStream.readShort(DataInputStream.java:312)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.endBlock(DFSClient.java:1660)
at org.apache.hadoop.dfs.DFSClient$DFSOutputStream.close(DFSClient.java:1733)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:49)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:64)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:55)
at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:83)
at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:140)
at org.apache.hadoop.fs.FileSystem.copyFromLocalFile(FileSystem.java:826)
at org.apache.hadoop.fs.FsShell.copyFromLocal(FsShell.java:120)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:1360)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:79)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:1478)
copyFromLocal: Connection reset
I was able to get Hadoop to run over NFS using version 1.1.2. It might work for other versions, but I can't guarantee anything.
If you have an NFS file system then each node should have access to the filesystem. The fs.default.name tells Hadoop the filesystem URI to use, so it should be pointed to the local disk. I'll assume that your NFS directory is mounted to each node at /nfs.
In core-site.xml you should define:
<property>
<name>fs.default.name</name>
<value>file:///</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/nfs/tmp</value>
</property>
In mapred-site.xml you should define:
<property>
<name>mapred.job.tracker</name>
<value>node1:8021</value>
</property>
<property>
<name>mapred.local.dir</name>
<value>/tmp/mapred-local</value>
</property>
Since hadoop.tmp.dir is pointed to the nfs drive then the default locations of mapred.system.dir and mapreduce.jobtracker.staging.root.dir point to locations on the nfs drive. It might run with leaving the default value for mapred.local.dir, but it is supposed to point to the local filesystem so to be safe you can put that in /tmp.
You don't have to worry about hdfs-site.xml. This configuration file is used when you start the namenode, but with everything being distributed on the nfs drive you shouldn't run HDFS.
Now you can run start-mapred.sh on the jobtracker node and run a hadoop job. Don't run start-all.sh or start-dfs.sh because those will start HDFS. If you run multiple DataNodes that point to the same NFS directory, then one DataNode will lock that directory and the others will shutdown because they are unable to obtain a lock.
I tested the configuration with:
bin/hadoop jar hadoop-examples-1.1.2.jar wordcount /nfs/data/test.text /nfs/out
Note that you need to specify full paths to the input and output locations.
I also tried:
bin/hadoop jar hadoop-examples-1.1.2.jar grep /nfs/data/loremIpsum.txt /nfs/out2 lorem
It gave me the same output as when I run it in Standalone, so I assume it is performing correctly.
Here is more information on fs.default.name:
http://www.greenplum.com/blog/dive-in/usage-and-quirks-of-fs-default-name-in-hadoop-filesystem