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.
MapR supports most Spark features. However, there a few exceptions.
The following instructions explain how to install Spark Standalone using manual steps.
The following instructions explain how to upgrade an existing installation of Spark 1.x.
Configure High Availability for the Spark Master so that the master does not become the single point of failure.
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.