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Apache Phoenix Icon Phoenix ODBC Driver

The Phoenix ODBC Driver is a powerful tool that allows you to connect with HBase through Apache Phoenix, directly from any applications that support ODBC connectivity.

Access Phoenix like you would a relational database - read, write, and update through a standard ODBC Driver interface.

Connect to and Query Phoenix Data in QlikView over ODBC



Create data visualizations with Phoenix data in QlikView.

The CData ODBC drivers expand your ability to work with data from more than 200 data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to Phoenix data using the CData ODBC driver and create data visualizations in QlikView.

The CData ODBC drivers offer unmatched performance for interacting with live Phoenix data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to Phoenix, the driver pushes supported SQL operations, like filters and aggregations, directly to Phoenix and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Phoenix data using native QlikView data types.

Connect to Phoenix as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Connect to Apache Phoenix via the Phoenix Query Server. Set the Server and Port (if different from the default port) properties to connect to Apache Phoenix. The Server property will typically be the host name or IP address of the server hosting Apache Phoenix.

Authenticating to Apache Phoenix

By default, no authentication will be used (plain). If authentication is configured for your server, set AuthScheme to NEGOTIATE and set the User and Password properties (if necessary) to authenticate through Kerberos.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Populate a Chart with Phoenix Data

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT Id, Column1 FROM MyTable WHERE Id = '123456'
  1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
  2. On the Data tab, select ODBC in the Database menu and click Connect.
  3. Select the DSN (CData ApachePhoenix Sys) in the resulting dialog. A command like the following is generated: ODBC CONNECT TO [CData ApachePhoenix Sys];
  4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard). SQL SELECT Id, Column1 FROM MyTable WHERE Id = '123456';

    Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to Phoenix, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.

  5. Close the script editor and reload the document to execute the script.
  6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from Phoenix, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
  7. When defining Dimensions, select Id in the First Dimension menu.
  8. When defining Expressions, click the summary function you want and select Column1 in the menu.
  9. Finish the wizard to generate the chart. The CData ODBC Driver for Phoenix connects to live Phoenix data, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.