Installing Spark on YARN

This topic describes how to use package managers to download and install Spark on YARN from the MEP repository.

Spark is distributed as three separate packages:

Package	Description
`mapr-spark`	Install this package on any node where you want to install Spark. This package is dependent on the `mapr-client`, `mapr-hadoop-client`, `mapr-hadoop-util`, and `mapr-librdkafka` packages.
`mapr-spark-historyserver`	Install this optional package on Spark History Server nodes. This package is dependent on the `mapr-spark` and `mapr-core` packages.
`mapr-spark-thriftserver`	Install this optional package on Spark Thrift Server nodes. This package is available starting in the MEP 4.0 release. It is dependent on the `mapr‍-‍spark` and `mapr‍-‍core` packages.

To install Spark on YARN (Hadoop 2), execute the following commands as root or using sudo:

Verify that JDK 11 or later is installed on the node where you want to install Spark.
Create the /apps/spark directory on the cluster filesystem, and set the correct permissions on the directory:
```
hadoop fs -mkdir /apps/spark
hadoop fs -chmod 777 /apps/spark
```
Note: Beginning with MEP 6.2.0, the configure.sh script creates the /apps/spark directory automatically.

Install the packages:

On Ubuntu

apt-get install mapr-spark mapr-spark-historyserver mapr-spark-thriftserver

On CentOS 8.x / Red Hat 8.x

dnf install mapr-spark mapr-spark-historyserver mapr-spark-thriftserver

On SUSE

zypper install mapr-spark mapr-spark-historyserver mapr-spark-thriftserver

Note: The mapr-spark-historyserver and mapr-spark-thriftserver packages are optional.

If you want to integrate Spark with HPE Ezmeral Data Fabric Event Store, install the Streams Client on each Spark node:
- On Ubuntu:
```
 apt-get install mapr-kafka
```
- On CentOS / Red Hat:
```
yum install mapr-kafka
```
If you want to use a Streaming Producer, add the spark-streaming-kafka-producer_2.12.jar from the data-fabric Maven repository to the Spark classpath (/opt/mapr/spark/spark-<versions>/jars/).
For repository-specific information, see Maven Artifacts for the HPE Ezmeral Data Fabric
After installing Spark on YARN but before running your Spark jobs, follow the steps outlined at Configuring Spark on YARN.