About Release 7.0
This site contains documentation for HPE Ezmeral Data Fabric release 7.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
7.0 Installation
This section contains information about installing and upgrading HPE Ezmeral Data Fabric software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a HPE Ezmeral Data Fabric cluster.
7.0 Data Fabric
HPE Ezmeral Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
7.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
7.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Ezmeral Data Fabric products, including the file system, Database (Key-Value and JSON), and Event Streams.
- Application Development Process
  Before you start developing applications on the HPE Ezmeral Data Fabric 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.
- File Store and Apps
  The following sections provide information about accessing the File Store with C and Java applications.
- HPE Ezmeral Data Fabric Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- HPE Ezmeral Data Fabric Streams and Apps
  HPE Ezmeral Data Fabric Streams brings integrated publish and subscribe messaging to HPE Ezmeral Data Fabric.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- Kubernetes Interfaces for Data Fabric
  This section describes how to leverage the capabilities of the Kubernetes Interfaces for Data Fabric.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the HPE Ezmeral Data Fabric.
  - Ecosystem Packs
  - Apache Airflow
    This topic provides an overview of Apache Airflow on HPE Ezmeral Data Fabric.
  - AsyncHBase
  - Cascading
  - Apache Drill
    - Drill Tutorial
    - Drill-on-YARN
    - Configuring Drill
      Lists the data-fabric-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 JDBC Drivers
        Download the Drill JDBC driver and use it on all platforms to connect BI tools, such as SQuirreL and Spotfire, to Drill. Drill also includes an embedded, open-source JDBC driver.
        Connecting to Drill via the Drill Shell (SQLLine)
        SQLLine is a JDBC application that is packaged with Drill and serves as the Drill shell. When you issue queries from the SQLLine client, SQLLine passes the queries to the connected Drillbit (Drill node).
        Using the Drill JDBC Driver with SQuirreL
        You can use the Drill JDBC driver with SQuirreL to connect to Drill and query the data sources configured in Drill.
        Downloading and Configuring the Driver
        This topic provides instructions for downloading and configuring the Drill JDBC driver for SQuirreL.
        Running a Drill Query from SQuirreL
        Query sample data in Drill to verify that the SQuirreL client is successfully connected to the cluster through the Drill JDBC driver.
        Java Sample Code
        To use the Drill JDBC driver in an application, you must include all of the JAR files from the ZIP archive in the classpath for the Java project.
      - Drill ODBC Driver
        HPE Ezmeral Data Fabric provides a Drill ODBC driver that you can download and use on all platforms to connect BI tools, such as Tableau, to Drill.
      - How to Connect to Drill from Tableau on Windows
        Provides instructions for using the Drill ODBC driver to connect Tableau on a Windows PC to Drill on an HPE Ezmeral Data Fabric node.
    - 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
      HPE Ezmeral Data Fabric 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, HPE Ezmeral Data Fabric 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
  - Hadoop
  - HBase
  - HBase Client and HPE Ezmeral Data Fabric Database Binary Tables
  - HCatalog
  - Hive
  - HttpFS
  - Hue
  - Livy
    Apache Livy is primarily used to provide integration between Hue and Spark.
  - HPE Ezmeral Data Fabric Streams Clients and Tools
    Describes the supported HPE Ezmeral Data Fabric Streams tools and clients.
  - S3 Gateway
    The S3 gateway is a service that provides an S3-compatible interface to expose data in HPE Ezmeral Data Fabric as objects. The S3 gateway manages all inbound S3 API requests to put data into and get data out of cloud storage.
  - Oozie
  - Pig
  - Apache Spark
  - Sqoop
  - YARN
- Maven and the HPE Ezmeral Data Fabric
  This section discusses topics associated with Maven and the HPE Ezmeral Data Fabric.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  HPE Ezmeral Data Fabric supports public APIs for file system, HPE Ezmeral Data Fabric Database, and HPE Ezmeral Data Fabric Streams. These APIs are available for application-development purposes.
Other Docs
This section contains release-independent information, including: Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other data-fabric version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Using the Drill JDBC Driver with SQuirreL

You can use the Drill JDBC driver with SQuirreL to connect to Drill and query the data sources configured in Drill.

To use the Drill JDBC Driver with SQuirreL, verify that your system meets the prerequisites and then download and configure the driver.

Prerequisites

Verify that the system meets the following prerequisites:

Java Runtime Environment (JRE), version 7.0 or later, installed on each machine where you plan to use the JDBC driver.
Drill installed in distributed mode on one or multiple nodes in a cluster with data sources configured. See Connecting Drill to Data Sources.
Verify that the system can resolve the hostnames of the ZooKeeper nodes of the Drill cluster. You can do this by configuring DNS for all of the systems. Alternatively, you can edit the hosts file to include the hostnames and IP addresses of all the ZooKeeper nodes used with the Drill cluster.
- For Windows, create the entry in the %WINDIR%\system32\drivers\etc\hosts.
- For Linux and Mac, create the entry in /etc/hosts.
  Example: 127.0.1.1 maprdemo