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Installation configuration on a single node of Apache Hadoop

The following will demonstrate how to quickly complete the installation and configuration of Hadoop on a single node so that you can have some experience with the Hadoop HDFS and MapReduce framework.

precondition

Support platform:

GNU/Linux: it has been confirmed that Hadoop can support clusters of 2000 nodes on the GNU/Linux platform.

Windows . The examples demonstrated in this article are all running on the GNU/Linux platform. If you run on Windows, you can refer to http://wiki.apache.org/hadoop/Hadoop2OnWindows.

Required software:

Java must be installed. Hadoop 2.7 and later, you need to install Java 7, which can be OpenJDK or JDK/JRE of Oracle (HotSpot). For other versions of JDK requirements, see http://wiki.apache.org/hadoop/HadoopJavaVersions

Ssh must install and keep sshd running so that the remote Hadoop daemon can be managed with Hadoop scripts. The following is an example of an installation on Ubuntu:

$sudo apt-get install ssh

$sudo apt-get install rsync

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download

The download address is http://www.apache.org/dyn/closer.cgi/hadoop/common/.

Preparation for running a Hadoop cluster

Extract the downloaded Hadoop distribution. Edit the etc/hadoop/hadoop-env.sh file and define the following parameters:

Set the installation directory for Java

Export JAVA_HOME=/usr/java/latest

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Try the following command:

$bin/hadoop

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The usage document for the hadoop script will be displayed.

Now you can start the Hadoop cluster in one of the three supported modes:

Local (stand-alone) mode

Pseudo-distributed mode

Fully distributed mode

Operation method of stand-alone mode

By default, Hadoop is configured as a stand-alone Java process running in non-distributed mode. This is very helpful for debugging.

The following example takes the extracted copy of the conf directory as input to find and display entries that match a given regular expression. The output is written to the specified output directory.

$mkdir input

$cp etc/hadoop/.xml input

$bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.3.jar grep input output 'dfs [a murz.] +'

$cat output/

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The operation method of pseudo-distributed mode

Hadoop can run on a single node in a so-called pseudo-distributed mode, where each Hadoop daemon runs as a separate Java process.

Configuration

Use the following:

Etc/hadoop/core-site.xml:

Fs.defaultFS

Hdfs://localhost:9000

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Etc/hadoop/hdfs-site.xml:

Dfs.replication

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Those who are interested can move on to the next chapter.

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