![]() |
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 API Driver for JDBC, you can link your ColdFusion web and mobile applications to operational Google Tasks data. This allows for your applications to be more robust and complete. This article details how to use the JDBC driver to create a table populated with Google Tasks data from within a ColdFusion markup file.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Google Tasks data. When you issue complex SQL queries to Google Tasks, the driver pushes supported SQL operations, like filters and aggregations, directly to Google Tasks and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Google Tasks data using native data types.
You will need a JDBC connection string to establish a connection between Coldfusion and Google Tasks.
Start by setting the Profile connection property to the location of the Google Tasks Profile on disk (e.g. C:\profiles\GoogleTasks.apip). Next, set the ProfileSettings connection property to the connection string for Google Tasks (see below).
In the Google Cloud Console, enable the Google Tasks API and create OAuth 2.0 credentials to obtain your Client ID and Client Secret.
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Tasks JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.jar๐ Using the built-in connection string designer to generate a JDBC URL (google tasks is shown.)
After configuring the connection, follow the steps below to add the CData JDBC Driver to ColdFusion's lib directory, add a new data source, test the connection, create a ColdFusion markup file, and, finally, make a real-time connection with Google Tasks data and display it in a table written in the ColdFusion Markup Language, or CFML:
cdata.jdbc.api.jar cdata.jdbc.api.lic
Note: If you do not copy the .lic file with the jar, you will see a licensing error that indicates you do not have a valid license installed. This is true for both the trial and full versions.
jdbc:api:Profile=C:\profiles\GoogleTasks.apip;Authscheme=OAuth;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;
The following code queries the data source:
<cfquery name="Google TasksQuery" dataSource="CDataGoogle TasksJDBC"> SELECT * FROM TaskLists </cfquery>And a CFTable can be used to quickly output the table in HTML:
<cftable query = "Google TasksQuery" border = "1" colHeaders colSpacing = "2" headerLines = "2" HTMLTable maxRows = "500" startRow = "1"> <cfcol header="<b>Id</b>" align="Left" width=2 text="Id"/> <cfcol header="<b>Kind</b>" align="Left" width=15 text="Kind"/> ... </cftable>Full code, including the HTML portion is available below:
<html>
<head><title>CData Software | Google Tasks TaskLists Table Demo </title></head>
<body>
<cfoutput>#ucase("Google Tasks TaskLists Table Demo")#</cfoutput>
<cfquery name="Google TasksQuery" dataSource="CDataGoogle TasksJDBC">
SELECT * FROM TaskLists
</cfquery>
<cftable
query = "Google TasksQuery"
border = "1"
colHeaders
colSpacing = "2"
headerLines = "2"
HTMLTable
maxRows = "500"
startRow = "1">
<cfcol header="<b>Id</b>" align="Left" width=2 text="Id"/>
<cfcol header="<b>Kind</b>" align="Left" width=15 text="Kind"/>
...
</cftable>
</body>
</html>
As a note, the CData JDBC 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 JDBC Driver for Google Tasks and start building Google Tasks-connected applications with Adobe ColdFusion. Reach out to our Support Team if you have any questions.
Connect to live data from Google Tasks with the API Driver
Connect to Google Tasks