This is the documentation for Impala 2.1.x, included as part of CDH 5.3.x.
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Configuring Impala to Work with JDBC

Impala supports the standard JDBC interface, allowing access from commercial Business Intelligence tools and custom software written in Java or other programming languages. The JDBC driver allows you to access Impala from a Java program that you write, or a Business Intelligence or similar tool that uses JDBC to communicate with various database products.

Setting up a JDBC connection to Impala involves the following steps:

  • Verifying the communication port where the Impala daemons in your cluster are listening for incoming JDBC requests.
  • Installing the JDBC driver on every system that runs the JDBC-enabled application.
  • Specifying a connection string for the JDBC application to access one of the servers running the impalad daemon, with the appropriate security settings.

Continue reading:

Configuring the JDBC Port

The default port used by JDBC 2.0 and later (as well as ODBC 2.x) is 21050. Impala server accepts JDBC connections through this same port 21050 by default. Make sure this port is available for communication with other hosts on your network, for example, that it is not blocked by firewall software. If your JDBC client software connects to a different port, specify that alternative port number with the --hs2_port option when starting impalad. See Starting Impala for details about Impala startup options. See Ports Used by Impala for information about all ports used for communication between Impala and clients or between Impala components.

Choosing the JDBC Driver

In Impala 2.0 and later, you have the choice between the Cloudera JDBC Connector and the Hive 0.13 JDBC driver. Cloudera recommends using the Cloudera JDBC Connector where practical.

If you are already using JDBC applications with an earlier Impala release, you must update your JDBC driver to one of these choices, because the Hive 0.12 driver that was formerly the only choice is not compatible with Impala 2.0 and later.

You download and install the Cloudera JDBC 2.5 connector on any Linux, Windows, or Mac system where you intend to run JDBC-enabled applications. From the Cloudera Connectors download page, you choose the appropriate protocol (JDBC or ODBC) and target product (Impala or Hive). The ease of downloading and installing on non-CDH systems makes this connector a convenient choice for organizations with heterogeneous environments.

You install the Hive JDBC driver (hive-jdbc package) through the Linux package manager, on hosts within the CDH cluster.

Both the Hive JDBC driver and the Cloudera JDBC 2.5 Connector provide a substantial speed increase for JDBC applications with Impala 2.0 and higher, for queries that return large result sets.

Enabling Impala JDBC Support on Client Systems

The Impala JDBC integration is made possible by a client-side JDBC driver, made up of several Java JAR files. The same driver is used by Impala and Hive.

To get the JAR files, install the Hive JDBC driver on each CDH-enabled host in the cluster that will run JDBC applications. Follow the instructions for CDH 5 or CDH 4.

  Note: The latest JDBC driver, corresponding to Hive 0.13, provides substantial performance improvements for Impala queries that return large result sets. Impala 2.0 and later are compatible with the Hive 0.13 driver. If you already have an older JDBC driver installed, and are running Impala 2.0 or higher, consider upgrading to the latest Hive JDBC driver for best performance with JDBC applications.

If you are using JDBC-enabled applications on hosts outside the CDH cluster, you cannot use the CDH install procedure on the non-CDH hosts. Install the JDBC driver on at least one CDH host using the preceding procedure. Then download the JAR files to each client machine that will use JDBC with Impala:


To enable JDBC support for Impala on the system where you run the JDBC application:

  1. Download the JAR files listed above to each client machine.
      Note: For Maven users, see this sample github page for an example of the dependencies you could add to a pom file instead of downloading the individual JARs.
  2. Store the JAR files in a location of your choosing, ideally a directory already referenced in your CLASSPATH setting. For example:
    • On Linux, you might use a location such as /opt/jars/.
    • On Windows, you might use a subdirectory underneath C:\Program Files.
  3. To successfully load the Impala JDBC driver, client programs must be able to locate the associated JAR files. This often means setting the CLASSPATH for the client process to include the JARs. Consult the documentation for your JDBC client for more details on how to install new JDBC drivers, but some examples of how to set CLASSPATH variables include:
    • On Linux, if you extracted the JARs to /opt/jars/, you might issue the following command to prepend the JAR files path to an existing classpath:
      export CLASSPATH=/opt/jars/*.jar:$CLASSPATH
    • On Windows, use the System Properties control panel item to modify the Environment Variables for your system. Modify the environment variables to include the path to which you extracted the files.
        Note: If the existing CLASSPATH on your client machine refers to some older version of the Hive JARs, ensure that the new JARs are the first ones listed. Either put the new JAR files earlier in the listings, or delete the other references to Hive JAR files.

Establishing JDBC Connections

The JDBC driver class is org.apache.hive.jdbc.HiveDriver. Once you have configured Impala to work with JDBC, you can establish connections between the two. To do so for a cluster that does not use Kerberos authentication, use a connection string of the form jdbc:hive2://host:port/;auth=noSasl. For example, you might use:


To connect to an instance of Impala that requires Kerberos authentication, use a connection string of the form jdbc:hive2://host:port/;principal=principal_name. The principal must be the same user principal you used when starting Impala. For example, you might use:


To connect to an instance of Impala that requires LDAP authentication, use a connection string of the form jdbc:hive2://host:port/db_name;user=ldap_userid;password=ldap_password. For example, you might use:


Currently, the Hive JDBC driver does not support connections that use both Kerberos authentication and SSL encryption. To use both of these security features with Impala through a JDBC application, use the Cloudera JDBC Connector as the JDBC driver.

  Note: If your JDBC or ODBC application connects to Impala through a load balancer such as haproxy, be cautious about reusing the connections. If the load balancer has set up connection timeout values, either check the connection frequently so that it never sits idle longer than the load balancer timeout value, or check the connection validity before using it and create a new one if the connection has been closed.
Page generated September 15, 2016.