MapR 5.1 is at End of Life (EOL) and no longer supported. Please see the latest documentation. This documentation is not being updated.

5.1 Ecosystem
This guide contains a section for each open source project that MapR supports. You can learn how to install, configure, use, and integrate each project within the context of a MapR cluster.
- AsyncHBase
- Cascading
- Drill
- Flume
- HBase
- HCatalog
- Hive
- HttpFS
- Hue
- Impala
- Mahout
- Myriad
- Oozie
- Pig
- OpenStack Sahara (Mitaka)
- Sentry
- Spark
  - Spark Feature Support
    MapR supports most Spark features. However, there a few exceptions.
  - Spark Standalone
    - Installing Spark Standalone
      The following instructions explain how to install Spark Standalone using manual steps.
    - Upgrading Spark Standalone
      The following instructions explain how to upgrade an existing installation of Spark 1.x.
    - Configuring Spark Standalone
    - Using Spark Standalone
      - Run the Spark Shell in Standalone Mode
  - Spark on YARN
  - Integrating Spark
  - Spark 2.0.0 Developer Preview
    Apache Spark is an open-source processing engine that you can use to process Hadoop data. Although MapR does not yet ship a Spark 2.0.0 package, you can install and use Spark 2.0.0 on a non-secure MapR 5.1 cluster or on a secure MapR 5.1 cluster that uses MapR-SASL authentication.
- Sqoop
- Storm
- Third Party Solutions

Run the Spark Shell in Standalone Mode

Procedure

To run the Spark shell, use the following command:

MASTER=spark://<Spark Master node hostname>:7077 /opt/mapr/spark/spark-<version>/bin/spark-shell