![]() |
VOOZH | about |
Adobe ColdFusion is a web and mobile application development platform. It uses its own scripting language, ColdFusion Markup Language (CFML), to create data-driven websites as well as generate remote services, such as REST. When ColdFusion is paired with the CData ODBC Driver for Google BigQuery, you can link your ColdFusion web and mobile applications to operational BigQuery data. This allows for your applications to be more robust and complete. This article details how to use the ODBC driver to create a table populated with BigQuery data from within a ColdFusion markup file.
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
To follow along with this tutorial, you need to install the CData ODBC Driver for Google BigQuery and Adobe ColdFusion.
If you have not already, first specify connection properties in an ODBC DSN (Data Source Name). This is the last step of the driver installation process. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
After creating a DSN, follow the steps below to add a new data source, test our connection to it, create a ColdFusion markup file, and, finally, import BigQuery Data and display it in a table in ColdFusion:
The following code queries the data source:
<cfquery name="BigQueryQuery" dataSource="CDataBigQueryODBC"> SELECT * FROM Orders </cfquery>And a CFTable can be used to quickly output the table in HTML:
<cftable query = "BigQueryQuery" border = "1" colHeaders colSpacing = "2" headerLines = "2" HTMLTable maxRows = "500" startRow = "1"> <cfcol header="<b>OrderName</b>" align="Left" width=2 text="OrderName"/> <cfcol header="<b>Freight</b>" align="Left" width=15 text="Freight"/> ... </cftable>Full code, including the HTML portion is available below:
<html>
<head><title>CData Software | BigQuery Orders Table Demo </title></head>
<body>
<cfoutput>#ucase("BigQuery Orders Table Demo")#</cfoutput>
<cfquery name="BigQueryQuery" dataSource="CDataBigQueryODBC">
SELECT * FROM Orders
</cfquery>
<cftable
query = "BigQueryQuery"
border = "1"
colHeaders
colSpacing = "2"
headerLines = "2"
HTMLTable
maxRows = "500"
startRow = "1">
<cfcol header="<b>OrderName</b>" align="Left" width=2 text="OrderName"/>
<cfcol header="<b>Freight</b>" align="Left" width=15 text="Freight"/>
...
</cftable>
</body>
</html>
As a note, the CData ODBC Drivers also support parameterized queries using the cfqueryparam element. For example:
SELECT * FROM Account WHERE name =
Download a free, 30-day trial of the CData ODBC Driver for BigQuery and start building BigQuery-connected applications with Adobe ColdFusion. Reach out to our Support Team if you have any questions.
Download a free trial of the Google BigQuery ODBC Driver to get started:
Download NowLearn more:
๐ 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.