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Natively Connect to Asana Data in PHP


The CData ODBC driver for Asana enables you to create PHP applications with connectivity to Asana data. Leverage the native support for ODBC in PHP.

Drop the CData ODBC Driver for Asana into your LAMP or WAMP stack to build Asana-connected Web applications. This article shows how to use PHP's ODBC built-in functions to connect to Asana data, execute queries, and output the results.

Configure a DSN

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. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

You can optionally set the following to refine the data returned from Asana.

  • WorkspaceId: Set this to the globally unique identifier (gid) associated with your Asana Workspace to only return projects from the specified workspace. To get your workspace id, navigate to https://app.asana.com/api/1.0/workspaces while logged into Asana. This displays a JSON object containing your workspace name and Id.
  • ProjectId: Set this to the globally unique identifier (gid) associated with your Asana Project to only return data mapped under the specified project. Project IDs can be found in the URL of your project's Overview page. This will be the numbers directly after /0/.

Connect Using OAuth Authentication

You must use OAuth to authenticate with Asana. OAuth requires the authenticating user to interact with Asana using the browser. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Establish a Connection

Open the connection to Asana by calling the odbc_connect or odbc_pconnect methods. To close connections, use odbc_close or odbc_close_all.

$conn = odbc_connect("CData ODBC Asana Source","user","password");

Connections opened with odbc_connect are closed when the script ends. Connections opened with the odbc_pconnect method are still open after the script ends. This enables other scripts to share that connection when they connect with the same credentials. By sharing connections among your scripts, you can save system resources, and queries execute faster.

$conn = odbc_pconnect("CData ODBC Asana Source","user","password"); ... odbc_close($conn); //persistent connection must be closed explicitly

Create Prepared Statements

Create prepared statements and parameterized queries with the odbc_prepare function.

$query = odbc_prepare($conn, "SELECT * FROM projects WHERE Archived = ?");

Execute Queries

Execute prepared statements with odbc_execute.

$conn = odbc_connect("CData ODBC Asana Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM projects WHERE Archived = ?"); $success = odbc_execute($query, array('true'));

Execute nonparameterized queries with odbc_exec.

$conn = odbc_connect("CData ODBC Asana Source","user","password"); $query = odbc_exec($conn, "SELECT Id, WorkspaceId FROM projects WHERE Archived = 'true'");

Process Results

Access a row in the result set as an array with the odbc_fetch_array function.

$conn = odbc_connect("CData ODBC Asana data Source","user","password"); $query = odbc_exec($conn, "SELECT Id, WorkspaceId FROM projects WHERE Archived = 'true'"); while($row = odbc_fetch_array($query)){ echo $row["Id"] . "\n"; }

Display the result set in an HTML table with the odbc_result_all function.

$conn = odbc_connect("CData ODBC Asana data Source","user","password"); $query = odbc_prepare($conn, "SELECT * FROM projects WHERE Archived = ?"); $success = odbc_execute($query, array('true')); if($success) odbc_result_all($query);

More Example Queries

You will find complete information on the driver's supported SQL in the help documentation. The code examples above are Asana-specific adaptations of the PHP community documentation for all ODBC functions.

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The Asana ODBC Driver is a powerful tool that allows you to connect with live data from Asana, directly from any applications that support ODBC connectivity.

Access Asana data like you would a database - read, write, and update Asana Project, Tasks, Teams, Users, etc. through a standard ODBC Driver interface.

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