HPE Ezmeral Data Fabric 6.1.x is In Maintenance and transitions to "End of Maintenance" in June 2024. Please see the latest documentation.

About MapR 6.1
This site contains the main documentation for Version 6.1 of the MapR Converged Data Platform, including installation, configuration, administration, and reference information.
6.1 Installation
This section contains information about installing and upgrading MapR software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a MapR cluster.
6.1 MapR Data Platform
MapR Data Platform is the industry-leading data platform for AI and analytics that solves enterprise business needs.
6.1 Administration
This section describes how to manage the nodes and services that make up a cluster.
6.1 Development
This section contains information related to application development for Ezmeral ecosystem components and MapR Data Platform products, including the file system, Database (Key-Value and JSON), and Event Streams.
- Application Development Process
  Before you start developing applications on the MapR Data Platform platform, consider how you will get the data into the platform, the storage format of the data, the type of processing or modeling that is required, and how the data will be accessed.
  - Step 1: Select a Data Storage Format
    Consider the data format options and determine how you want to use to store your data.
  - Step 2: Write Data to MapR Data Platform
    Depending on your use case, move existing data onto the MapR Data Platform platform or write data directly to the platform.
  - Step 3: Explore Ways to Work With the Data
    Once the data is in the MapR Data Platform platform, explore the various features and components available on the platform and determine your path. You may want to access data in its initial format or perform some data modeling or processing prior to accessing the data.
  - Step 4: Set Up the Development Environment
    Before you start building the application, figure out how your the application will connect to the cluster and what the library dependencies and installation requirements are.
    - Connect to the Cluster
      Application are often run on nodes that are not part of the MapR Data Platform cluster. There are many methods to connect to a MapR cluster; this section briefly describes each option.
    - MapR Database JSON Application Requirements
      The following tables include the minimal node requirements for building and running MapR Database JSON table applications.
    - MapR Database Binary Application Requirements
      The following tables include the minimal node requirements for building and running MapR Database binary table applications.
    - MapR Event Store For Apache Kafka Application Requirements
      The following tables include the minimal node requirements for building and running MapR Event Store For Apache Kafka consumer and producer applications.
    - MapR File System Application Requirements
      The following tables include the minimal node requirements for building and running MapR File System applications.
    - YARN Application Requirements
      The following tables include the minimal node requirements for building and running YARN applications.
  - Step 5: Build the Application
    Start building an application! This section lists a few of the sample applications available in MapR Data Platform.
- MapR XD and Apps
  The following sections provide information about accessing the MapR XD with C and Java applications.
- MapR Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- MapR Event Store For Apache Kafka and Apps
  MapR Event Store For Apache Kafka brings integrated publish and subscribe messaging to MapR Data Platform.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- MapR Data Science Refinery
  The MapR Data Science Refinery product is an easy-to-deploy and scalable data science toolkit with native access to all platform assets and superior out-of-the-box security.
- MapR Data Fabric for Kubernetes
  This section describes how to leverage the capabilities of the MapR Data Fabric for Kubernetes.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the MapR Data Platform.
- Maven and MapR
  This section discusses topics associated with Maven and MapR.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  MapR Data Platform supports public APIs for MapR File System, MapR Database, and MapR Event Store For Apache Kafka. These APIs are available for application-development purposes.
Other Docs
This section contains release-independent information, including: MapR Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other MapR version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

MapR Database JSON Application Requirements

The following tables include the minimal node requirements for building and running MapR Database JSON table applications.

Node Requirements	Method(s) to Meet Requirement
A connection to the MapR cluster.	Select one of the following options: Install and configure the MapR client. Install the PACC and run an application container. Use the MapR File System JAR to connect to the cluster. For more information, see Connect to the Cluster.
The OJAI Query Service is installed	To use secondary indexes, you may need to enable this service. See Preparing Clusters for Querying using Secondary Indexes on JSON Tables for more information.
MapR Database libraries are configured as a dependency.	When you build an application, use the Maven Repository to determine the dependencies. The POM file should include the MapR Repository and the MapR OJAI Driver project. When you run the application, provide the dependencies in the application's classpath. For more information, see Compiling and Running Java OJAI Applications
Other items to consider.	If an ecosystem component, such as Spark, runs or integrates with the application, you may need to include additional dependencies in the POM file. For example, to use the MapR Database OJAI Connector for Apache Spark, see Configuring the MapR Database OJAI Connector for Apache Spark