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SAS XPORT files Icon SASxpt ODBC Driver

The SASxpt ODBC Driver is a powerful tool that allows you to connect with live data from SAS xpt (XPORT) file data, directly from any applications that support ODBC connectivity.

Access SAS xpt (XPORT) files like you would a database - read, write, and update through a standard ODBC Driver interface.

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Natively Connect to SAS xpt Data in PHP


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

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

Connecting to Local SASXpt Files

You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

Connecting to S3 data source

You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

  • URI: Set this to the folder within your bucket that you would like to connect to.
  • AWSAccessKey: Set this to your AWS account access key.
  • AWSSecretKey: Set this to your AWS account secret key.
  • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

Connecting to Azure Data Lake Storage Gen2

You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

  • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
  • AzureAccount: Set this to the name of the Azure Data Lake storage account.
  • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
  • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

Establish a Connection

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

$conn = odbc_connect("CData ODBC SASXpt 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.

$conn = odbc_pconnect("CData ODBC SASXpt Source","user","password"); ... odbc_close($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 SampleTable_1 WHERE Column2 = ?");

Execute Queries

Execute prepared statements with odbc_execute.

$conn = odbc_connect("CData ODBC SASXpt Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM SampleTable_1 WHERE Column2 = ?"); $success = odbc_execute($query, array('100'));

Execute nonparameterized queries with odbc_exec.

$conn = odbc_connect("CData ODBC SASXpt Source","user","password"); $query = odbc_exec($conn, "SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'");

Process Results

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

$conn = odbc_connect("CData ODBC SAS xpt data Source","user","password"); $query = odbc_exec($conn, "SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'"); while($row = odbc_fetch_array($query)){ echo $row["Id"] . "\n"; }

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

$conn = odbc_connect("CData ODBC SAS xpt data Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM SampleTable_1 WHERE Column2 = ?"); $success = odbc_execute($query, array('100')); 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 SAS xpt-specific adaptations of the PHP community documentation for all ODBC functions.