Query Hive through the JDBC driver in HDInsight

Learn how to use the JDBC driver from a Java application to submit Hive queries to Hadoop in Azure HDInsight. The information in this document demonstrates how to connect programmatically and from the SQuirrel SQL client.

For more information on the Hive JDBC Interface, see HiveJDBCInterface.


  • A Hadoop on HDInsight cluster. Either Linux-based or Windows-based clusters work.


    Linux is the only operating system used on HDInsight version 3.4 or greater. For more information, see HDInsight 3.3 retirement.

  • SQuirreL SQL. SQuirreL is a JDBC client application.

  • The Java Developer Kit (JDK) version 7 or higher.

  • Apache Maven. Maven is a project build system for Java projects that is used by the project associated with this article.

JDBC connection string

JDBC connections to an HDInsight cluster on Azure are made over 443, and the traffic is secured using SSL. The public gateway that the clusters sit behind redirects the traffic to the port that HiveServer2 is actually listening on. The following connection string shows the format to use for HDInsight:


Replace CLUSTERNAME with the name of your HDInsight cluster.


When establishing the connection, you must use the HDInsight cluster admin name and password to authenticate to the cluster gateway. When connecting from JDBC clients such as SQuirreL SQL, you must enter the admin name and password in client settings.

From a Java application, you must use the name and password when establishing a connection. For example, the following Java code opens a new connection using the connection string, admin name, and password:


Connect with SQuirreL SQL client

SQuirreL SQL is a JDBC client that can be used to remotely run Hive queries with your HDInsight cluster. The following steps assume that you have already installed SQuirreL SQL.

  1. Copy the Hive JDBC drivers from your HDInsight cluster.

    • For Linux-based HDInsight cluster version 3.5 or 3.6, use the following steps to download the required jar files.

      1. Create a directory that contains the files. For example, mkdir hivedriver.

      2. From a command line, use the following commands to copy the files from the HDInsight cluster:

        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hadoop-client/hadoop-common.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hadoop-client/hadoop-auth.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hadoop-client/lib/log4j-*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hadoop-client/lib/slf4j-*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/hive-*-1.2*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/httpclient-*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/httpcore-*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/libthrift-*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/libfb*.jar .
        scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/commons-logging-*.jar .

        Replace USERNAME with the SSH user account name for the cluster. Replace CLUSTERNAME with the HDInsight cluster name.

    • For Windows-based HDInsight, use the following steps to download the jar files.

      1. From the Azure portal, select your HDInsight cluster, and then select the Remote Desktop icon.

        Remote Desktop icon

      2. On the Remote Desktop section, use the Connect button to connect to the cluster. If the Remote Desktop is not enabled, use the form to provide a user name and password, then select Enable to enable Remote Desktop for the cluster.

        Remote desktop section

        After selecting Connect, a .RDP file is downloaded. Use this file to launch the Remote Desktop client. When prompted, use the user name and password you entered for Remote Desktop access.

      3. Once connected, copy the following files from the Remote Desktop session to your local machine. Put them in a local directory named hivedriver.

        • C:\apps\dist\hive-\lib\hive-jdbc-
        • C:\apps\dist\hadoop-\share\hadoop\common\hadoop-common-
        • C:\apps\dist\hadoop-\share\hadoop\common\lib\hadoop-auth-


          The version numbers included in the paths and file names may be different for your cluster.

      4. Disconnect the Remote Desktop session once you have finished copying the files.

  2. Start the SQuirreL SQL application. From the left of the window, select Drivers.

    Drivers tab on the left of the window

  3. From the icons at the top of the Drivers dialog, select the + icon to create a driver.

    Drivers icons

  4. In the Add Driver dialog, add the following information:

    • Name: Hive
    • Example URL: jdbc:hive2://localhost:443/default;transportMode=http;ssl=true;httpPath=/hive2
    • Extra Class Path: Use the Add button to add the jar files downloaded earlier
    • Class Name: org.apache.hive.jdbc.HiveDriver

    add driver dialog

    Click OK to save these settings.

  5. On the left of the SQuirreL SQL window, select Aliases. Then click the + icon to create a connection alias.

    add new alias

  6. Use the following values for the Add Alias dialog.

    • Name: Hive on HDInsight

    • Driver: Use the dropdown to select the Hive driver

    • URL: jdbc:hive2://CLUSTERNAME.azurehdinsight.net:443/default;transportMode=http;ssl=true;httpPath=/hive2

      Replace CLUSTERNAME with the name of your HDInsight cluster.

    • User Name: The cluster login account name for your HDInsight cluster. The default is admin.

    • Password: The password for the cluster login account.

    add alias dialog

    Use the Test button to verify that the connection works. When Connect to: Hive on HDInsight dialog appears, select Connect to perform the test. If the test succeeds, you see a Connection successful dialog. If an error occurs, see Troubleshooting.

    To save the connection alias, use the Ok button at the bottom of the Add Alias dialog.

  7. From the Connect to dropdown at the top of SQuirreL SQL, select Hive on HDInsight. When prompted, select Connect.

    connection dialog

  8. Once connected, enter the following query into the SQL query dialog, and then select the Run icon. The results area should show the results of the query.

     select * from hivesampletable limit 10;

    sql query dialog, including results

Connect from an example Java application

An example of using a Java client to query Hive on HDInsight is available at https://github.com/Azure-Samples/hdinsight-java-hive-jdbc. Follow the instructions in the repository to build and run the sample.


Unexpected Error occurred attempting to open an SQL connection

Symptoms: When connecting to an HDInsight cluster that is version 3.3 or greater, you may receive an error that an unexpected error occurred. The stack trace for this error begins with the following lines:

java.util.concurrent.ExecutionException: java.lang.RuntimeException: java.lang.NoSuchMethodError: org.apache.commons.codec.binary.Base64.<init>(I)V
at java.util.concurrent.FutureTas...(FutureTask.java:122)
at java.util.concurrent.FutureTask.get(FutureTask.java:206)

Cause: This error is caused by an older version commons-codec.jar file included with SQuirreL.

Resolution: To fix this error, use the following steps:

  1. Download the commons-codec jar file from your HDInsight cluster.

     scp USERNAME@CLUSTERNAME:/usr/hdp/current/hive-client/lib/commons-codec*.jar ./commons-codec.jar
  2. Exit SQuirreL, and then go to the directory where SQuirreL is installed on your system. In the SquirreL directory, under the lib directory, replace the existing commons-codec.jar with the one downloaded from the HDInsight cluster.

  3. Restart SQuirreL. The error should no longer occur when connecting to Hive on HDInsight.

Next steps

Now that you have learned how to use JDBC to work with Hive, use the following links to explore other ways to work with Azure HDInsight.