How to implement Debian Hadoop resource management

This article describes how to configure Hadoop Explorer on Debian system. The following steps cover the construction and verification of Hadoop clusters.

1. Hadoop installation and environment configuration

First, install Hadoop on the Debian system. Assuming you have downloaded the Hadoop 2.7.2 installation package, you can unzip and install it using the following command:

 sudo mkdir /usr/local/hadoop
sudo tar xvf hadoop-2.7.2.tar.gz -C /usr/local/hadoop

Next, configure environment variables to facilitate subsequent operations. Edit the ~/.bashrc or /etc/profile file and add the following:

 export HADOOP_HOME=/usr/local/hadoop
export PATH=$PATH:$HADOOP_HOME/bin

Execute source ~/.bashrc or source /etc/profile to make the configuration take effect.

2. Hadoop cluster configuration

On all nodes of the cluster, you need to configure the core Hadoop configuration files: core-site.xml , hdfs-site.xml , mapred-site.xml , and yarn-site.xml . These files define key properties of Hadoop clusters, such as HDFS name node address, number of data replicas, MapReduce framework, and YARN resource manager address.

For example, core-site.xml configuration fragment is as follows:

<configuration>
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://debian171:9000</value>
  </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>/usr/local/hadoop/tmp</value>
  </property>
</configuration>

Please modify these configurations according to the actual situation of your cluster.

3. Hadoop cluster startup

On all nodes, start the HDFS and YARN services with the following command:

 cd /usr/local/hadoop/sbin
./start-dfs.sh
./start-yarn.sh

4. Resource Management Verification

Run a simple WordCount job to verify that Hadoop resource management is working:

 hadoop jar hadoop-examples.jar wordcount /tmp/input /output

If the result is successfully run and output, it means that the Hadoop resource management configuration is successful.

5. Things to note

The above steps provide a basic Hadoop resource management configuration process. Actual configuration may vary depending on cluster size, Hadoop version, and specific requirements. Please refer to the official Hadoop documentation for more detailed configuration information.

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