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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.

Access SAS xpt Data from MySQL in PHP



Connect to SAS xpt through the standard MySQL libraries in PHP.

You can use the CData SQL Gateway and ODBC Driver for SAS xpt to access SAS xpt data from MySQL clients, without needing to perform an ETL or cache data. Follow the steps below to connect to SAS xpt data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL.

Connect to SAS xpt Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

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).

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to SAS xpt data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Connect in PHP

The following examples show how to use object-oriented interfaces to connect and execute queries. Initialize the connection object with the following parameters to connect to the virtual MySQL database:

  • Host: Specify the remote host location where the service is running. In this case "localhost" is used for the remote host setting since the service is running on the local machine.
  • Username: Specify the username for a user you authorized on the SQL Gateway's Users tab.
  • Password: Specify the password for the authorized user account.
  • Database Name: Specify the system DSN as the database name.
  • Port: Specify the port the service is running on; port 3306 in this example.

mysqli

<?php
$mysqli = new mysqli("localhost", "user", "password", "CData SASXpt Sys","3306");
?>

PDO

<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData SASXpt Sys;port=3306', 'user', 'password');
?>

Query in PHP

With the connection established, you can then access tables. The following steps walk through the example:

  1. Query the table; for example, SampleTable_1. The results will be stored as an associative array in the $result object.
  2. Iterate over each row and column, printing the values to display in the PHP page.
  3. Close the connection.

mysqli

$result = $mysqli->query("SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'");
while($row = $result->fetch_assoc()) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$mysqli->close();

PDO

$result = $pdo->query("SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'");
while($row = $result->fetch(PDO::FETCH_ASSOC)) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$result = null;
$pdo = null;