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.
- 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.
  - Ezmeral Ecosystem Packs
  - AsyncHBase
  - Cascading
  - Apache Drill
  - Flume
  - HBase
  - HBase Client and MapR Database Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
    - Hue Feature Support
    - Configure Hue
    - Integrate Hue
    - Use Hue
      This section provides information about using Hue, but it does not duplicate the Hue documentation.
    - Sqoop2
      - Sqoop2 Connector Support
        Connector support differs for each version of Sqoop2.
      - Configuring Sqoop2
      - Using Sqoop2
        Manage Sqoop2 Server and Client
        Create Links and Jobs
        Use connectors to create links to data sources and then create jobs to execute the data transfer.
        Example Kite Connector Link and Job Configuration Data
        The following example shows the types of prompts that you can expect when setting up links and jobs. It also provides tips that may be helpful when you configure links and jobs with the Kite Connector.
        Submit Sqoop2 Jobs
      - Sqoop 1.99.7 API Changes
        The following APIs have been deprecated in Sqoop 1.99.7.
  - Impala
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - MapR Event Store For Apache Kafka Clients and Tools
    Describes the supported MapR Event Store For Apache Kafka tools and clients.
  - S3 Gateway
    The S3 gateway is a service that provides an S3-compatible interface to expose data in MapR Data Platform as objects. The S3 gateway manages all inbound S3 API requests to put data into and get data out of cloud storage.
  - Myriad
  - Oozie
  - Pig
  - Sentry
  - Apache Spark
  - Sqoop
  - YARN
  - Zeppelin
- 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.

Example Kite Connector Link and Job Configuration Data

The following example shows the types of prompts that you can expect when setting up links and jobs. It also provides tips that may be helpful when you configure links and jobs with the Kite Connector.

IMPORTANT This component is deprecated. Hewlett Packard Enterprise recommends using an alternate product. For more information, see Discontinued Ecosystem Components.

Kite Connector Link Configuration for MapR File System

sqoop:000> create link --connector kite-connector
Name: kite_maprfs 

Global configuration 
MAPRFS or Hive Metastore URI: maprfs:///  
Hadoop conf directory: /opt/mapr/hadoop/hadoop-2.7.0/etc/hadoop/

NOTE Set the Hadoop conf directory to /opt/mapr/hadoop/hadoop-2.7.0/etc/hadoop/.

Kite Connector Job Configuration for MapR File System

Dataset URI: dataset:maprfs:///<somefolder>
File format: 
  0 : CSV
  1 : AVRO
  2 : PARQUET
Choose: 2

Kite Connector Link Configuration for Hive

sqoop:000> create link --connector kite-connector
Name: kite_hive

Global configuration 
MAPRFS or Hive Metastore URI: <hostname>:9083  
Hadoop conf directory: /opt/mapr/hive/hive-1.2/conf/

NOTE Set the Hadoop conf directory to the Hive conf directory.

Kite Connector Job Configuration for Hive

Dataset URI: dataset:hive:databasename/tablename
File format: 
  0 : CSV
  1 : AVRO
  2 : PARQUET
Choose: 2