Access Google Data Catalog Data from MySQL in PHP

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

Connect to Google Data Catalog 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.

Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

Before connecting, specify the following to identify the organization and project you would like to connect to:

• OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

  Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

• ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

  Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Google Data Catalog 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.

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 GoogleDataCatalog Sys","3306");
?>

PDO

<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData GoogleDataCatalog 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, Schemas. 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 = $mysqli->query("SELECT Type, DatasetName FROM Schemas WHERE ProjectId = 'bigquery-public-data'");
while($row = $result->fetch_assoc()) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$mysqli->close();

PDO

$result = $pdo->query("SELECT Type, DatasetName FROM Schemas WHERE ProjectId = 'bigquery-public-data'");
while($row = $result->fetch(PDO::FETCH_ASSOC)) {
  foreach ($row as $k=>$v) {
    echo "$k : $v";
    echo "<br>"; 
  }
}
$result = null;
$pdo = null;