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
    - Drill Tutorial
    - Drill-on-YARN
    - Configuring Drill
      Lists the MapR-specific configuration for Drill.
    - Working with Drill
    - Securing Drill
      An administrator can install Drill with the default security configuration or manually configure custom security for Drill.
      - Roles and Privileges
        Drill has USER and ADMIN roles. Each role can perform different functions in Drill.
      - Drill Default Security
        The default security configuration uses MapR-SASL (tickets) for authentication, authorization, and encryption to automatically secure the MapR cluster and ecosystem components when you install them manually or using the MapR Installer.
      - User Impersonation
        Impersonation allows a service to act on behalf of a client while performing the action requested by the client. By default, user impersonation is disabled in Drill. You can configure user impersonation in the /opt/mapr/drill/drill-<version>/drill-override.conf file.
      - MapR Security (Tickets)
        Drill supports authentication and encryption through the MapR Security (tickets) security mechanism. Authentication is the process of establishing confidence of authenticity. Encryption is the process of converting information or data from plain text into ciphertext to prevent unauthorized access. An administrator can manually configure Drill to use MapR Security. When MapR Security is enabled, all Drill clients, such as JDBC and ODBC, must connect to Drillbits through MapR Security.
      - Kerberos
        Drill supports Kerberos v5 network security authentication and encryption. Kerberos is a network authentication protocol built on symmetric-key cryptography. Kerberos eliminates the need to store passwords locally or send them over the network and reduces the risk of impersonation.
      - Plain Authentication
        An administrator can configure Drill to use the Linux pluggable authentication module (PAM) for Plain (username and password) authentication. PAM provides an authentication module that interfaces with any installed PAM authentication entity, such as the local operating system password file (/etc/passwd) or LDAP.
      - SSL/TLS for Encryption
        You can enable SSL for Drill in a secure or unsecure cluster. SSL (Secure Sockets Layer), more recently called TLS, is a security mechanism that encrypts data passed between the Drill client and Drillbit (server). SSL also provides one-way authentication through which the Drill client verifies the identity of the Drillbit.
      - Security Between ZooKeeper and Drillbits
        When Drill is installed on clusters with the default security enabled, authentication is enabled between the Drillbits and ZooKeeper. The ZooKeeper znode information is secured automatically through authentication and znode ACLs. Communication between the Drillbits and Zookeeper is not encrypted.
      - Configuring Drill Web UI and Web API Security
        The Drill web client and web API communicate with web browsers or web tools, like curl, through the HTTP or HTTPS. Drill uses HTTP by default.
      - SPNEGO for HTTP Authentication
        Drill 1.13 and later supports the Simple and Protected GSS-API Negotiation mechanism (SPNEGO) to extend the Kerberos-based single sign-on authentication mechanism to HTTP. An administrator configures the web server (Drillbit) to use SPNEGO for authentication. Depending on the system, either the administrator or the user configures the client (web browser or web client tool) to use SPNEGO for authentication.
      - Using ACEs on Views to Limit Data Access
        Describes how to use access control expressions to limit data access for Views.
    - Drill Drivers
      HPE Ezmeral Data Fabric provides Drill ODBC and JDBC drivers that you can download and use to connect Drill to BI tools. The drivers are updated periodically to include support for new functionality in Drill.
    - Drill Configuration Files
      The Drill installation includes configuration files with start-up options that you can modify prior to starting Drill.
    - Monitoring Drill Metrics
    - Optimizing Queries with Indexes
      MapR Database provides a highly scalable key-value database platform on which you can run SQL queries using Drill. As of the 6.0 release of the MapR Data Platform, MapR Database natively supports indexes on secondary fields in JSON tables.
    - Drill Limitations
      Provides information about Drill limitations and solutions where applicable.
    - Vulnerability Reports
      Provides vulnerability information in relation to 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
  - 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.

Roles and Privileges

Drill has USER and ADMIN roles. Each role can perform different functions in Drill.

Access in the Drill Web UI differs between users and administrators. Certain pages are exposed based on privilege. For example, only administrators can see the Storage tab and edit a storage plugin configuration.

The following sections describe a few additional differences between a user and an administrator in Drill.

USER Role

The following list notes the functions that a user can perform in Drill:

Users can run queries on data to which they have access.
Users can view and cancel their own queries in the Profiles tab of the Drill Web UI.
Users can create views on data to provide granular access to that data.
NOTE Each data source manages the read/write permissions.

ADMIN Role

When authentication is enabled, only Drill users assigned the administrator (ADMIN) role can perform the following tasks:

Change system-level options by issuing the ALTER SYSTEM command or through the options tab in the Drill Web UI.
Update a storage plugin configuration through the REST API or Drill Web UI.
View the profiles of all queries run by all users.
Cancel running queries that were launched by any user in the cluster.
Shut down the Drillbit in the Drill Web UI.

Configuring USER and ADMIN Roles

You can define administrative users through the security.admin.user_groups and security.admin.users options.

The default value for admin.users is the drill_process_user. The default value for admin.user_groups is drill_process_user_groups. These options accept a comma-separated list of users or user groups.

To edit these options, use the SET command, as shown in the following examples:

ALTER SYSTEM SET `security.admin.user_groups` = 'drill, %drill_process_user_groups%';
ALTER SYSTEM SET `security.admin.users` = 'user1, %drill_process_user%';
ALTER SYSTEM SET `security.admin.users` = 'user1, user2';