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Natively Connect to SAS Data Sets Data in PHP
The CData ODBC driver for SAS Data Sets enables you to create PHP applications with connectivity to SAS Data Sets data. Leverage the native support for ODBC in PHP.
Drop the CData ODBC Driver for SAS Data Sets into your LAMP or WAMP stack to build SAS Data Sets-connected Web applications. This article shows how to use PHP's ODBC built-in functions to connect to SAS Data Sets 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 following connection properties to connect to your SAS DataSet files:
Connecting to Local Files
- Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
- Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.
Connecting to Cloud-Hosted SAS DataSet Files
While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.
Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.
Establish a Connection
Open the connection to SAS Data Sets by calling the odbc_connect or odbc_pconnect methods. To close connections, use odbc_close or odbc_close_all.
$conn = odbc_connect("CData ODBC SASDataSets 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.
$conn = odbc_pconnect("CData ODBC SASDataSets Source","user","password");
...
odbc_close($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 restaurants WHERE cuisine = ?");
Execute Queries
Execute prepared statements with odbc_execute.
$conn = odbc_connect("CData ODBC SASDataSets Source","user","password");
$query = odbc_prepare($conn, "SELECT * FROM restaurants WHERE cuisine = ?");
$success = odbc_execute($query, array('American'));
Execute nonparameterized queries with odbc_exec.
$conn = odbc_connect("CData ODBC SASDataSets Source","user","password");
$query = odbc_exec($conn, "SELECT name, borough FROM restaurants WHERE cuisine = 'American'");
Process Results
Access a row in the result set as an array with the odbc_fetch_array function.
$conn = odbc_connect("CData ODBC SAS Data Sets data Source","user","password");
$query = odbc_exec($conn, "SELECT name, borough FROM restaurants WHERE cuisine = 'American'");
while($row = odbc_fetch_array($query)){
echo $row["name"] . "\n";
}
Display the result set in an HTML table with the odbc_result_all function.
$conn = odbc_connect("CData ODBC SAS Data Sets data Source","user","password");
$query = odbc_prepare($conn, "SELECT * FROM restaurants WHERE cuisine = ?");
$success = odbc_execute($query, array('American'));
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 Data Sets-specific adaptations of the PHP community documentation for all ODBC functions.
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SAS Data Sets ODBC Driver
The SAS Data Sets ODBC Driver is a powerful tool that allows you to connect with live data from SAS Data Sets, directly from any applications that support ODBC connectivity.
Access SAS Data Sets data like you would a database - read, write, and update through a standard ODBC Driver interface.
