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
  - 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
    - Configure Myriad
    - Use Myriad
    - Myriad REST API
    - Troubleshoot Myriad
      Explains how to troubleshoot 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.

Myriad REST API

Securing the Myriad REST API

To secure the Myriad REST API, set the isSecure property to true in the myriad-config-default.yml file. In this case, Myriad uses the same security type as the value of the hadoop.http.authentication.type parameter in the core-site.xml file

NOTE On a secure cluster, the default value of this property is org.apache.hadoop.security.authentication.server.MultiMechsAuthenticationHandler. Authentication, such as Kerberos or plain (using PAM), is determined automatically.

Scaling the Cluster

To scale a cluster up or down, use the Cluster API. The Cluster API provide flexup and flex down capability the changes the size of one or more instances in a cluster. The instance size is a profile parameter that is a predefined value of zero, small, medium, and large. These predefined values are specified in the Myriad configuration file (myriad-config-default.yml).

Specify Service Instances

To specify the number of instances for a service, use the Service API. Services are configured in the Myriad configuration file (myriad-config-default.yml).

Retrieving Configuration and State

To retrieve the Myriad configuration and the Myriad Scheduler state, use the Configuration API and State API. See Myriad open source REST API for more information.

The Myriad REST API provides the following functionality:

Table 1. Myriad REST API
API	HTTP Method	URI	Description
Cluster	PUT	/api/cluster/flexup	Expands the cluster size. Parameters: profile, instances, constraints
Cluster	PUT	/api/cluster/flexdown	Shrinks the cluster size. Parameters: profile, instances, constraints
Service	PUT	/api/cluster/flexupservice	Increases the number of instances for a service. Parameters: instances, serviceName
Service	PUT	/api/cluster/flexdownservice	Shrinks the number of instances for a service. Parameters: instances, serviceName
Configuration	GET	/api/config	Retrieves the Myriad configuration.
State	GET	api/state	Retrieves a snapshot of the Myriad Scheduler state.
Framework	GET	/api/framework/shutdown/frameworkd	Destroys the Myriad framework. NOTE With this release, GET is the method used to destroy the Myriad framework.