Access BigQuery Data in PHP through Connect Server

You can use CData Connect Server to access BigQuery data from SQL Server clients, without needing to perform an ETL or cache data. Follow the steps below to create a virtual SQL Server database for BigQuery and connect to BigQuery data in real time through PHP's standard SQL Server interface, i.e. sqlsrv_connect.

CData Connect Server provides a pure SQL Server interface for BigQuery, allowing you to easily build reports from live BigQuery data in PHP — without replicating the data to a natively supported database. As you build visualizations, PHP generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to BigQuery, leveraging server-side processing to quickly return the requested BigQuery data.

Getting Started

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Create a Virtual SQL Server Database for BigQuery Data

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

1. Login to Connect Server and click Connections.
2. Select "BigQuery" from Available Data Sources.
3. BigQuery uses OAuth to authenticate. Click Connect to authenticate with BigQuery.
4. 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 BigQuery data from PHP.

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 SQL Server database:

• Server name/Host: Specify the remote host location where the service is running.
• Username: Specify the username for a user you authorized in Connect Server.
• Password: Specify the password for the authorized user account.
• Database Name: Specify the name of the virtual database you created for BigQuery.
• Port: Specify the port the service is running on, port 1433 in this example.

sqlsrv_connect

<?php
$serverName = "connect_server_url, 1433"; //Connect Server Address, portNumber (default is 1433)
$connectionInfo = array( "Database"=>"GoogleBigQuery1", "UID"=>"userName", "PWD"=>"password");
$conn = sqlsrv_connect( $serverName, $connectionInfo);

if( $conn ) {
     echo "Connection established.<br>";
}else{
     echo "Connection could not be established.<br>";
     die( print_r( sqlsrv_errors(), true));
}
?>

PDO

<?php
<?php
$user = my_connect_user
$pass = my_connect_pass

$pdo = new PDO("sqlsrv:Server=connect_server_url,1433;Database=GoogleBigQuery1", $user , $pass);

?>

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, Orders. 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.

sqlsrv_connect

$result = $sqlsrv_connect->query("SELECT OrderName, Freight FROM Orders");
while($row = $result->fetch_assoc()) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$sqlsrv_connect->close();

PDO

$result = $pdo->query("SELECT OrderName, Freight FROM Orders");
while($row = $result->fetch(PDO::FETCH_ASSOC)) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$result = null;
$pdo = null;

SQL Server Access to BigQuery Data using PHP

You have retrieved live BigQuery Data using PHP. Now, you can easily access data sources and more — all without replicating BigQuery data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Server.