Drop the CData ODBC Driver for Spark into your LAMP or WAMP stack to build Spark-connected Web applications. This article shows how to use PHP's ODBC built-in functions to connect to Spark data, execute queries, and output the results.

Configure a DSN

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.

Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

Establish a Connection

Open the connection to Spark by calling the odbc_connect or odbc_pconnect methods. To close connections, use odbc_close or odbc_close_all.

Connections opened with odbc_connect are closed when the script ends. Connections opened with the odbc_pconnect method are still open after the script ends. This enables other scripts to share that connection when they connect with the same credentials. By sharing connections among your scripts, you can save system resources, and queries execute faster.

Create Prepared Statements

Create prepared statements and parameterized queries with the odbc_prepare function.

Execute Queries

Execute prepared statements with odbc_execute.

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Execute nonparameterized queries with odbc_exec.

Process Results

Access a row in the result set as an array with the odbc_fetch_array function.

Display the result set in an HTML table with the odbc_result_all function.

More Example Queries

You will find complete information on the driver's supported SQL in the help documentation. The code examples above are Spark-specific adaptations of the PHP community documentation for all ODBC functions.