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.
    - 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.

Client Application Interfaces

Drill also provides additional application interfaces for the client tools to connect and access from Drill. The interfaces include the following.

ODBC/JDBC drivers

Drill provides ODBC/JDBC drivers to connect from BI tools such as Tableau, MicroStrategy, SQUirrel, and Jaspersoft; refer to Drill Interfaces Introduction to learn more.

SQLLine

SQLLine is a JDBC application that comes packaged with Drill. In order to start working with it, you can use the command line on the demo cluster to log in as root, then enter sqlline. Use mapr as the login password. For example:

$ ssh root@localhost -p 2222
Password:
Last login: Mon Sep 15 13:46:08 2014 from 10.250.0.28
Welcome to your Mapr Demo virtual machine.
[root@maprdemo ~]# sqlline
sqlline version 1.1.6
0: jdbc:drill:>

Drill Web UI

The Drill Web UI is a simple user interface for configuring and manage Drill. This UI can be launched from any of the nodes in the Drill cluster. The configuration for Drill includes setting up storage plugins that represent the data sources on which Drill performs queries. The sandbox comes with storage plugins configured for Hive, MapR Database binary tables, MapR File System, and local filesystem.

Users and developers can get the necessary information for tuning and performing diagnostics on queries, such as the list of queries executed in a session and detailed query plan profiles for each.

Detailed configuration and management of Drill is out of scope for this tutorial.

The following Web Console for Drill also provides a query UI where users can submit queries to Drill and observe results.

What's Next

Start running queries by going to Lesson 1: Learn About the Data Set.