This section contains information related to application development for ecosystem components and MapR products including MapR Database (binary and JSON), MapR Filesystem, and MapR Streams.
The following sections provide information about each open source project that MapR supports.
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 Filesystem with C and Java applications.
This section contains information about developing client applications for JSON and binary tables.
MapR Event Store For Apache Kafka 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 Container Storage Interface (CSI) Storage Plugin.
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.
You can use Tez, instead of MapReduce, for generic data processing tasks. Tez significantly increases the processing speed. Tez, working with Hive, provides smaller latency for interactive queries and higher throughput for batch queries.
This topic describes the public API changes that occurred between Hive 2.1 MEP 5.0.0 and Hive 2.3 MEP 6.0.0.
Starting with MapR Ecosystem Pack (MEP) 6.0.0, MapR Object Store with S3-Compatible API (MapR Object Store) is included in MEP repositories. To fully benefit from the MapR Object Store, it is important to understand what the MapR Object Store is and how it works, how to authenticate it and perform bucket operations.
This section discusses topics associated with Maven and MapR.
This section contains in-depth information for the developer.
MapR supports public APIs for MapR Filesystem, MapR Database, and MapR Event Store For Apache Kafka. These APIs are available for application development purposes.
This topic contains the following sections:
