Denisarnaud (talk | contribs) |
Denisarnaud (talk | contribs) |
||
Line 19: | Line 19: | ||
export JAVA_HOME=/usr/java/jdk1.8.0_51 | export JAVA_HOME=/usr/java/jdk1.8.0_51 | ||
Format the name-node: | Format the name-node: | ||
# runuser hdfs -s /bin/bash /bin/bash -c " | # runuser hdfs -s /bin/bash /bin/bash -c "hdfs namenode -format" | ||
which should produce something like: | which should produce something like: | ||
DEPRECATED: Use of this script to execute hdfs command is deprecated. | DEPRECATED: Use of this script to execute hdfs command is deprecated. |
Revision as of 20:29, 5 January 2016
Overview
Bootstrapping Hadoop on Fedora for Fedora 22+.
See Also
- Hadoop on Fedora 20
- Bootstrapping Your MapReduce 2.X Programming on Fedora 20
- SIGs/bigdata/packaging/Scala / SIGs/bigdata/packaging/Sbt
Installation and Setup (as root)
Install Hadoop:
# dnf install hadoop-common hadoop-hdfs hadoop-mapreduce hadoop-mapreduce-examples hadoop-yarn maven-* xmvn*
Set the JAVA_HOME environment variable within the Hadoop configuration file (the default does not seem to work)
# vi /etc/hadoop/hadoop-env.sh
For instance, with the Open JDK, the line should read something like:
export JAVA_HOME=/usr/lib/jvm/java-1.8.0-openjdk-1.8.0.65-13.b17.fc23.x86_64 # On a Fedora 23
Or with Oracle Java JDK 8, the line would become:
export JAVA_HOME=/usr/java/jdk1.8.0_51
Format the name-node:
# runuser hdfs -s /bin/bash /bin/bash -c "hdfs namenode -format"
which should produce something like:
DEPRECATED: Use of this script to execute hdfs command is deprecated. Instead use the hdfs command for it. 15/08/16 19:09:15 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = myhost.mydomain/127.0.0.1 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.4.1 STARTUP_MSG: classpath = /etc/hadoop:/usr/share/hadoop/common/lib/asm-tree-5.0.3.jar:[...] STARTUP_MSG: build = Unknown -r Unknown; compiled by 'mockbuild' on 2015-04-21T22:21Z STARTUP_MSG: java = 1.8.0_51 [...] ************************************************************/ 15/08/16 19:09:16 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 15/08/16 19:09:16 INFO namenode.NameNode: createNameNode [-format] 15/08/16 19:09:16 INFO namenode.AclConfigFlag: ACLs enabled? false 15/08/16 19:09:16 INFO namenode.FSImage: Allocated new BlockPoolId: BP-393991083-127.0.0.1-1439744956758 15/08/16 19:09:16 INFO common.Storage: Storage directory /var/lib/hadoop-hdfs/hdfs/dfs/namenode has been successfully formatted. 15/08/16 19:09:16 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 15/08/16 19:09:16 INFO util.ExitUtil: Exiting with status 0 15/08/16 19:09:16 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at myhost.mydomain/127.0.0.1 ************************************************************/
Start the Hadoop services:
# systemctl start hadoop-namenode hadoop-datanode hadoop-nodemanager hadoop-resourcemanager
Check that the Hadoop services have been started:
# systemctl status hadoop-namenode hadoop-datanode hadoop-nodemanager hadoop-resourcemanager
Enable the Hadoop services permanently, in case everything went smoothly:
# systemctl enable hadoop-namenode hadoop-datanode hadoop-nodemanager hadoop-resourcemanager
Create the default HDFS directories:
# hdfs-create-dirs
Setting Up a User's Sandbox (as root)
In the following commands, build is the Unix user name:
# runuser hdfs -s /bin/bash /bin/bash -c "hadoop fs -mkdir /user/build" # runuser hdfs -s /bin/bash /bin/bash -c "hadoop fs -chown build /user/build"
Running WordCount (as user)
For simplicity, a WordCount example is available on GitHub that you can copy:
$ git clone https://github.com/timothysc/hadoop-tests.git
Once it has downloaded you can put the example .txt file into your user location
$ cd WordCount $ hadoop fs -put constitution.txt /user/build
Now you can build WordCount against the system installed .jars.
$ mvn-rpmbuild package
Finally you can run:
$ hadoop jar wordcount.jar org.myorg.WordCount /user/build /user/build/output
Feel free to cat the part-0000 file to see the results.