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Try them now for free →Query BigQuery Data Using the OData SDK for PHP
You can use the API Server and the OData PHP SDK to easily consume BigQuery entities in PHP by modeling them as objects.
The CData API Server, when paired with the ADO.NET Provider for BigQuery, exposes BigQuery data (or data from any of 200+ other ADO.NET Providers) as Web services. You can follow the procedure below to work with BigQuery data as PHP objects.
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
Set Up the API Server
Follow the steps below to begin producing secure BigQuery OData services:
Deploy
The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.
The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.
Connect to BigQuery
After you deploy the API Server and the ADO.NET Provider for BigQuery, provide authentication values and other connection properties needed to connect to BigQuery by clicking Settings -> Connections and adding a new connection in the API Server administration console.
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.
You can then choose the BigQuery entities you want to allow the API Server access to by clicking Settings -> Resources.
Additionally, configure the API Server for compatibility with the OData SDK for PHP: Click Server -> Settings and in the OData section set Default Version to 2.0.
Authorize API Server Users
After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. You can authenticate as well as encrypt connections with SSL. Access can also be restricted based on IP address; by default, only connections from the local machine are allowed.
For simplicity, we will authenticate to the API Server by setting the authtoken in the URL. This is not enabled by default; you will need to add the following lines to the API Server configuration file, settings.cfg.
[Application]
AllowAuthTokenInUrl = true
The settings.cfg file is located in the data directory. In the .NET edition, the data directory is the app_data folder under the www folder. In the Java edition, the data directory's location depends on the operation system:
- Windows: C:\ProgramData\CData\GoogleBigQuery\
- Unix or Mac OS X: ~/cdata/GoogleBigQuery/
Work with BigQuery Entities as PHP Objects
Follow the steps below to use the ODataPHP SDK to create a proxy class that will connect to the Web services exposed by the API Server.
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Pass the URL to a command like the one below:
php C:\PHPLib\ODataphp\PHPDataSvcUtil.php /uri=https://your-server:8032/api.rsc/@your-authtoken/ /out=C:\PHPLib\ODataphp\GoogleBigQueryEntities.php
The preceding command defines classes from the metadata returned in the response from the OData endpoint, then outputs the class definitions to the specified folder.
Both the API Server and the OData SDK for PHP support forms and Windows authentication. The API Server uses authtokens to authenticate users authorized to access the OData endpoint. You can supply authtokens in HTTP Basic authentication or append them to the OData URL.
You can configure authorized users in the Settings -> Users section of the API Server administration console.
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You can now start accessing BigQuery data using an object-oriented interface in PHP. The code below creates a record of the Orders table and then retrieves the live data, showing the newly created record.
require_once 'GoogleBigQueryEntities.php'; try{ $svc = new CData(); $orders = new Orders(); $orders->ShipCity = 'New York'; $svc->AddToOrders($orders); $svc->SetSaveChangesOptions(SaveChangesOptions::None); $svc->SaveChanges(); $response = $svc->orders()->Execute(); foreach($response->Result as $orders) echo $orders->OrderName.""; } catch (Exception $e) { //catch errors from the API Server echo $e->getError(), "\n"; }