Access SAS xpt Data in PHP through Connect Cloud

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CData Connect



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

You can use CData Connect Cloud to access SAS xpt data from MySQL clients, without needing to perform an ETL or cache data. Follow the steps below to create a virtual MySQL database for SAS xpt and connect to SAS xpt data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for SAS xpt, allowing you to easily query live SAS xpt data in PHP — without replicating the data to a natively supported database. As you query data in PHP, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to SAS xpt, leveraging server-side processing to quickly return SAS xpt data.

Create a Virtual MySQL Database for SAS xpt Data

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Cloud and click Databases.
  2. Select "SAS xpt" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SAS xpt.

    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).

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to SAS xpt data from any MySQL client.

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 "myinstance.cdatacloud.net" 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 in Connect Cloud.
  • Password: Specify the password for the authorized user account.
  • Database Name: Specify the name of the virtual database you created for SAS xpt.
  • Port: Specify the port the service is running on, port 3306 in this example.

mysqli

<?php
$mysqli = mysqli_init();

$mysqli->ssl_set("C:/certs/cloudclient.key",
                 "C:/certs/cloudclient.pem",
                 "C:/certs/myCA.pem",
                 NULL,NULL);

$mysqli->real_connect("mysintance.cdatacloud.net", "admin", "mypassword", "sasxptdb",3306,NULL,MYSQLI_CLIENT_SSL_DONT_VERIFY_SERVER_CERT);
?>

PDO

<?php
$pdo = new PDO('mysql:host=myinstance.cdatacloud.net;dbname=sasxptdb;port=3306;','admin', 'mypassword', array(
    PDO::MYSQL_ATTR_SSL_KEY                => 'C:/certs/cloudclient.key',
    PDO::MYSQL_ATTR_SSL_CERT               => 'C:/certs/cloudclient.pem',
    PDO::MYSQL_ATTR_SSL_CA                 => 'C:/certs/myCA.pem',
    PDO::MYSQL_ATTR_SSL_VERIFY_SERVER_CERT => false
    )
);
?>

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;