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.
- Maven and MapR
  This section discusses topics associated with Maven and MapR.
- Developer's Reference
  This section contains in-depth information for the developer.
  - MapR Database Shell (JSON Tables)
    The mapr dbshell is a tool that enables you to create and perform basic manipulation of JSON tables and documents. You run dbshell by typing mapr dbshell on the command line after logging into a node in a MapR Data Platform cluster.
  - Utilities for MapR Database JSON Tables
    MapR Database JSON provides utilities to copy, export, and import data, compare table content, and verify the consistency of secondary indexes.
  - MapR Database HBase Shell (Binary Tables)
    You can manage MapR Database tables using HBase shell commands and additional HBase shell commands included in the MapR Data Platform distribution of Hadoop.
  - Utilities for MapR Database Binary Tables
    MapR Database provides utilities to copy and compare data in MapR Database binary tables.
  - MapR Event Store For Apache Kafka Utilities
  - YARN Commands
    This section describes the YARN commands.
  - Source Code for MapR Software
    MapR releases source code to the open-source community for enhancements that HPE has made to the Apache Hadoop project and other ecosystem components.
  - Hadoop Commands
    This section describes the Hadoop commands.
    - Hadoop Command Overview
    - hadoop archive
      The hadoop archive command creates a Hadoop archive, a file that contains other files. A Hadoop archive always has a *.har extension.
    - hadoop classpath
      The hadoop classpath command prints the class path needed to access the Hadoop jar and the required libraries.
    - hadoop daemonlog
      The hadoop daemonlog command gets and sets the log level for each daemon.
    - hadoop distcp
      The hadoop distcp command is a tool used for large inter- and intra-cluster copying.
    - hadoop fs
      The hadoop fs command runs a generic file system user client that interacts with the MapR File System.
    - hadoop jar
      The hadoop jar command runs a program contained in a JAR file. Users can bundle their MapReduce code in a JAR file and execute it using this command.
    - hadoop job
      The hadoop job command enables you to manage MapReduce jobs.
    - hadoop mfs
      The hadoop mfs command displays directory information and contents, creates symbolic links and hard links, sets, gets, and removes Access Control Expressions (ACE) on files and directories, and sets compression and chunk size on a directory.
    - hadoop mradmin
      The hadoop mradmin command runs Map-Reduce administrative commands.
    - hadoop pipes
      The hadoop pipes command runs a pipes job.
    - hadoop queue
      The hadoop queue command displays job queue information.
    - hadoop version
      The hadoop version command prints the hadoop software version.
    - hadoop conf
      The hadoop conf command outputs the configuration information for this node to standard output.
- 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.

Supported Commands for Hadoop 2.x

MapR supports the following hadoop commands for Hadoop 2.x:

Command	Description
`archive -archiveName NAME <src>* <dest>`	Creates a Hadoop archive, a file that contains other files. A Hadoop archive always has a `.har` extension.
CLASSNAME	The hadoop script can be used to invoke any class. `hadoop CLASSNAME` runs the class named CLASSNAME.
`classpath`	Prints the class path needed to access the Hadoop JAR and the required libraries.
`conf`	The `hadoop conf` command prints the configuration information for the current node.
`daemonlog`	The `hadoop daemonlog` command may be used to get or set the log level of Hadoop daemons.
`distcp <source> <destination>`	The `hadoop distcp` command is a tool for large inter- and intra-cluster copying. It uses MapReduce to effect its distribution, error handling and recovery, and reporting. It expands a list of files and directories into input to map tasks, each of which will copy a partition of the files specified in the source list.
`fs`	The `hadoop fs` command runs a generic filesystem user client that interacts with the MapR filesystem.
`jar <jar>`	The `hadoop jar` command runs a JAR file. Users can bundle their MapReduce code in a JAR file and execute it using this command.
`mfs`	The `hadoop mfs` command performs operations on directories in the cluster. The main purposes of `hadoop mfs` are to display directory information and contents, to create symbolic links, and to set compression and chunk size on a directory.
`version`	The `hadoop version` command prints the Hadoop software version.

WARNING For Hadoop2, some hadoop commands are deprecated and replaced by the mapred command.

For example, if you run the hadoop job command, you see this message:

# hadoop job
DEPRECATED: Use of this script to execute mapred command is deprecated.
Instead, use the mapred command for it.

The syntax for the mapred command is:

mapred [--config confdir] [--loglevel loglevel] COMMAND

Commands used with mapred include:

Command	Description
`historyserver`	Runs job history servers as a standalone daemon
`hsadmin`	The job history server admin interface
`job`	Manipulates MapReduce applications
`pipes`	Runs a `pipes` job
`queue`	Gets information regarding `JobQueues`