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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.
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
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
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, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
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.
👁 Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)
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:
<?php
$mysqli = new mysqli("localhost", "user", "password", "CData GoogleBigQuery Sys","3306");
?>
<?php
$pdo = new PDO('mysql:host=localhost;dbname=CData GoogleBigQuery Sys;port=3306', 'user', 'password');
?>
With the connection established, you can then access tables. The following steps walk through the example:
$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();
$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;
Download a free trial of the Google BigQuery ODBC Driver to get started:
Download NowLearn more:
👁 Google BigQuery IconThe Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity.
Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.