Installing Spark Standalone

This topic includes instructions for using package managers to download and install Spark Standalone from the MEP repository.

For instructions on setting up the MEP repository, see Step 10: Install Ecosystem Components Manually.
Spark is distributed as four separate packages:
Package Description
mapr-spark Install this package on Spark worker nodes. This package is dependent on the mapr-client package.
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.
  1. Create the /apps/spark directory on MapR file system, and set the correct permissions on the directory.
    hadoop fs -mkdir /apps/spark
    hadoop fs -chmod 777 /apps/spark
  2. Use the appropriate commands for your operating system to install Spark.
    On CentOS / RedHat
    yum 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 and mapr-spark-thriftserver packages are optional.

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

  3. 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
  4. Set up passwordless ssh for the mapr user such that the Spark master node has access to all slave nodes defined in the conf/slaves file.
  5. 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
  6. If you want to integrate Spark with MapR-ES, install the Streams Client on each Spark node:
    • On Ubuntu:
       apt-get install mapr-kafka
    • On RedHat/CentOS:
      yum install mapr-kafka
  7. If you want to use a Streaming Producer, add the spark-streaming-kafka-producer_2.11.jar from the MapR Maven repository to the Spark classpath (/opt/mapr/spark/spar-<versions>/jars/).
  8. After installing Spark Standalone and before running your Spark jobs, follow the steps outlined at Configuring Spark Standalone.