YARN Client Install

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mob649e8155edc4 2024-03-31 04:05:45 ©著作权

文章标签 Hadoop hadoop jar 文章分类 Yarn 大数据

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YARN Client Install

YARN (Yet Another Resource Negotiator) is the resource management layer in Hadoop. It allows multiple data processing engines like MapReduce, Spark, and others to execute on the same Hadoop cluster. In this article, we will focus on installing YARN client on a machine to interact with a YARN cluster.

Prerequisites

Before installing the YARN client, make sure you have the following prerequisites:

A machine with access to the YARN cluster
Java Development Kit (JDK) installed
Hadoop distribution with YARN support

Steps to Install YARN Client

Follow these steps to install the YARN client on your machine:

Download Hadoop: Obtain a Hadoop distribution with YARN support from the official Apache Hadoop website or a mirror site.
Extract the Archive: Extract the downloaded Hadoop archive to a location on your machine where you want to install it.
Set Environment Variables: Set the following environment variables in your .bashrc or .bash_profile file:
```
export HADOOP_HOME=/path/to/hadoop/directory
export PATH=$PATH:$HADOOP_HOME/bin
```
Replace /path/to/hadoop/directory with the actual path where you extracted the Hadoop archive.
Configure Hadoop: Edit the hadoop-env.sh file in the etc/hadoop directory of your Hadoop installation and set the JAVA_HOME variable to the path of your JDK installation.
Set Hadoop Configuration: Copy the core-site.xml, hdfs-site.xml, mapred-site.xml, and yarn-site.xml files from the YARN cluster to the etc/hadoop directory of your Hadoop installation.
Test the Installation: Run the following command to check if the YARN client is installed correctly:
```
yarn version
```
If the command returns the YARN version information, then the installation was successful.

Using the YARN Client

Once you have installed the YARN client, you can use it to submit MapReduce jobs or interact with the YARN cluster. Here is an example of submitting a MapReduce job using the YARN client:

Write a MapReduce Program: Create a MapReduce program in Java or any other supported language.
Package the Program: Package the program into a JAR file that includes all dependencies.
Submit the Job: Use the following command to submit the MapReduce job to the YARN cluster:
```
yarn jar path/to/your/jarfile.jar MainClass inputPath outputPath
```
Replace path/to/your/jarfile.jar with the actual path to your JAR file, MainClass with the main class of your MapReduce program, inputPath with the input path on HDFS, and outputPath with the output path on HDFS.

Gantt Chart

The following Gantt chart shows the installation process of the YARN client:

gantt
    title YARN Client Installation
    dateFormat  YYYY-MM-DD

    section Download and Extract
    Download and Extract            :done, download, 2022-01-01, 1d

    section Set Environment Variables
    Set Environment Variables       :done, setenv, 2022-01-02, 1d

    section Configure Hadoop
    Edit hadoop-env.sh              :done, config, 2022-01-03, 1d

    section Set Hadoop Configuration
    Copy configuration files         :done, config, 2022-01-04, 1d

    section Test the Installation
    Test the Installation            :done, test, 2022-01-05, 1d

Conclusion

In this article, we discussed the installation of the YARN client on a machine to interact with a YARN cluster. By following the steps outlined in this article, you can successfully set up the YARN client and submit MapReduce jobs to the YARN cluster. YARN is a powerful resource management layer in Hadoop that enables efficient execution of data processing tasks on distributed systems.