Ready to get started?

Learn more about the CData ODBC Driver for Amazon Redshift or download a free trial:

Download Now

Natively Connect to Redshift Data in PHP

The CData ODBC driver for Redshift enables you to create PHP applications with connectivity to Redshift data. Leverage the native support for ODBC in PHP.

Drop the CData ODBC Driver for Redshift into your LAMP or WAMP stack to build Redshift-connected Web applications. This article shows how to use PHP's ODBC built-in functions to connect to Redshift 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.

To connect to Redshift, set the following:

  • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
  • Port: Set this to the port of the cluster.
  • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
  • User: Set this to the username you want to use to authenticate to the Server.
  • Password: Set this to the password you want to use to authenticate to the Server.

You can obtain the Server and Port values in the AWS Management Console:

  1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
  2. On the Clusters page, click the name of the cluster.
  3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

Establish a Connection

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

$conn = odbc_connect("CData ODBC Redshift Source","user","password");

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.

$conn = odbc_pconnect("CData ODBC Redshift Source","user","password"); ... odbc_close($conn); //persistent connection must be closed explicitly

Create Prepared Statements

Create prepared statements and parameterized queries with the odbc_prepare function.

$query = odbc_prepare($conn, "SELECT * FROM Orders WHERE ShipCountry = ?");

Execute Queries

Execute prepared statements with odbc_execute.

$conn = odbc_connect("CData ODBC Redshift Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM Orders WHERE ShipCountry = ?"); $success = odbc_execute($query, array('USA'));

Execute nonparameterized queries with odbc_exec.

$conn = odbc_connect("CData ODBC Redshift Source","user","password"); $query = odbc_exec($conn, "SELECT ShipName, ShipCity FROM Orders");

Process Results

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

$conn = odbc_connect("CData ODBC Redshift data Source","user","password"); $query = odbc_exec($conn, "SELECT ShipName, ShipCity FROM Orders"); while($row = odbc_fetch_array($query)){ echo $row["ShipName"] . "\n"; }

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

$conn = odbc_connect("CData ODBC Redshift data Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM Orders WHERE ShipCountry = ?"); $success = odbc_execute($query, array('USA')); if($success) odbc_result_all($query);

More Example Queries

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