This section contains information related to application development for ecosystem components and MapR products including MapR-DB (binary and JSON), MapR-FS, and MapR Streams.
The following sections provide information about each open source project that MapR supports.
This topic describes how to configure Livy.
Before you start developing applications on MapR’s Converged Data Platform, consider how you will get the data onto the platform, the format it will be stored in, the type of processing or modeling that is required, and how the data will be accessed.
The following sections provide information about accessing MapR-FS with C and Java applications.
This section contains information about developing client applications for JSON and binary tables.
MapR-ES brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
This section contains information associated with developing YARN applications.
The MapR Data Science Refinery is an easy-to-deploy and scalable data science toolkit with native access to all platform assets and superior out-of-the-box security.
This section describes how to use and troubleshoot the MapR Data Fabric for Kubernetes FlexVolume Driver.
A MapR Ecosystem Pack (MEP) provides a set of ecosystem components that work together on one or more MapR cluster versions. Only one version of each ecosystem component is available in each MEP. For example, only one version of Hive and one version of Spark is supported in a MEP.
This topic describes how to configure Livy with different Spark modes.
This section provides information about using Hue with MapR, but it does not duplicate the Hue documentation.
The MapR distribution uses Apache Livy primarily to provide integration between Hue and Spark.
This section discusses topics associated with Maven and MapR.
This section contains in-depth information for the developer.
MapR supports public APIs for MapR-FS, MapR-DB, and MapR-ES. These APIs are available for application development purposes.