Amazon EMR
Amazon EMR Release Guide

Use the Hive JDBC Driver

You can use popular business intelligence tools like Microsoft Excel, MicroStrategy, QlikView, and Tableau with Amazon EMR to explore and visualize your data. Many of these tools require Java Database Connectivity (JDBC) driver or an Open Database Connectivity (ODBC) driver. Amazon EMR supports both JDBC and ODBC connectivity.

The example below demonstrates using SQL Workbench/J as a SQL client to connect to a Hive cluster in Amazon EMR. For additional drivers, see Use Business Intelligence Tools with Amazon EMR.

Before you install and work with SQL Workbench/J, download the driver package and install the driver. The drivers included in the package support the Hive versions available in Amazon EMR release versions 4.0 and later. For detailed release notes and documentation, see the PDF documentation included in the package.

To install and configure SQL Workbench

  1. Download the SQL Workbench/J client for your operating system from

  2. Install SQL Workbench/J. For more information, see Installing and starting SQL Workbench/J in the SQL Workbench/J Manual User's Manual.

  3. Linux, Unix, Mac OS X users: In a terminal session, create an SSH tunnel to the master node of your cluster using the following command. Replace master-public-dns-name with the public DNS name of the master node and path-to-key-file with the location and file name of your Amazon EC2 private key (.pem) file.

    ssh -o ServerAliveInterval=10 -i path-to-key-file -N -L 10000:localhost:10000 hadoop@master-public-dns-name

    Windows users: In a PuTTY session, create an SSH tunnel to the master node of your cluster (using local port forwarding) with 1000 for Source port and master-public-dns-name:10000 for Destination. Replace master-public-dns-name with the public DNS name of the master node.

  4. Add the JDBC driver to SQL Workbench.

    1. In the Select Connection Profile dialog box, click Manage Drivers.

    2. Click the Create a new entry (blank page) icon.

    3. In the Name field, type Hive JDBC.

    4. For Library, click the Select the JAR file(s) icon.

    5. Browse to the location containing the extracted drivers, select the following JAR files and click Open.

      hive_metastore.jar hive_service.jar HiveJDBC41.jar libfb303-0.9.0.jar libthrift-0.9.0.jar log4j-1.2.14.jar ql.jar slf4j-api-1.5.11.jar slf4j-log4j12-1.5.11.jar TCLIServiceClient.jar zookeeper-3.4.6.jar
    6. In the Please select one driver dialog box, select, OK.

  5. When you return to the Manage Drivers dialog box, verify that the Classname field is populated and select OK.

  6. When you return to the Select Connection Profile dialog box, verify that the Driver field is set to Hive JDBC and provide the following JDBC connection string in the URL field: jdbc:hive2://localhost:10000/default.

  7. Select OK to connect. After the connection is complete, connection details appear at the top of the SQL Workbench/J window.

For more information about using Hive and the JDBC interface, see HiveClient and HiveJDBCInterface in Apache Hive documentation.