Installing Spark Standalone

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

Spark is distributed as four 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-master`	Install this package on Spark master nodes. Spark master nodes must be able to communicate with Spark worker nodes over SSH without using passwords. This package is dependent on the `mapr-spark` and the `mapr-core` 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.

Run the following commands as root or using sudo.

Install Spark using the appropriate commands for your operating system:

On CentOS 8.x / Red Hat 8.x

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

On Ubuntu

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

On SUSE

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

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

Spark is installed into the /opt/mapr/spark directory.

Copy the /opt/mapr/spark/spark-<version>/conf/slaves.template into /opt/mapr/spark/spark-<version>/conf/slaves, and add the hostnames of the Spark worker nodes. Put one worker node hostname on each line. For example:
```
localhost
worker-node-1
worker-node-2
```
Set up passwordless ssh for the mapr user such that the Spark master node has access to all secondary nodes defined in the conf/slaves file.
As the mapr user, start the worker nodes by running the following command in the master node. Since the Master daemon is managed by the Warden daemon, do not use the start-all.sh or stop-all.sh command.
```
/opt/mapr/spark/spark-<version>/sbin/start-slaves.sh
```
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 RedHat/CentOS:
```
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/).
After installing Spark Standalone but before running your Spark jobs, follow the steps outlined at Configuring Spark Standalone.