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Get the Report →Access BigQuery Data from MySQL in PHP
Connect to BigQuery through the standard MySQL libraries in PHP.
You can use the CData SQL Gateway and ODBC Driver for BigQuery to access BigQuery data from MySQL clients, without needing to perform an ETL or cache data. Follow the steps below to connect to BigQuery data in real time through PHP's standard MySQL interfaces, mysqli and PDO_MySQL.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Connect to BigQuery 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 uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.
In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
Configure the SQL Gateway
See the SQL Gateway Overview to set up connectivity to BigQuery 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 GoogleBigQuery Sys","3306"); ?>
PDO
<?php $pdo = new PDO('mysql:host=localhost;dbname=CData GoogleBigQuery Sys;port=3306', 'user', 'password'); ?>
Query in PHP
With the connection established, you can then access tables. The following steps walk through the example:
- Query the table; for example, Orders. The results will be stored as an associative array in the $result object.
- Iterate over each row and column, printing the values to display in the PHP page.
- Close the connection.
mysqli
$result = $mysqli->query("SELECT OrderName, Freight FROM Orders"); while($row = $result->fetch_assoc()) { foreach ($row as $k=>$v) { echo "$k : $v"; echo "<br>"; } } $mysqli->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;