Import Asana Data into SQL Server using SSIS

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Asana SSIS Components

Powerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Asana through SSIS Workflows.

Use the Asana Data Flow Components to synchronize with Asana Project, Tasks, Teams, Users, and more. Perfect for data synchronization, local back-ups, workflow automation, and more!



Easily back up Asana data to SQL Server using the SSIS components for Asana.

Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.

This example demonstrates how to use the CData SSIS Tasks for Asana inside of a SQL Server SSIS workflow to transfer Asana data into a Microsoft SQL Server database.

Add the Components

To get started, add a new Asana source and SQL Server ADO.NET destination to a new data flow task.

Create a New Connection Manager

Follow the steps below to save Asana connection properties in a connection manager.

  1. In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. In the Connection Manager type menu, select Asana. The CData Asana Connection Manager is displayed.
  3. Configure connection properties.

    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.

Configure the Asana Source

Follow the steps below to specify the query to be used to extract Asana data.

  1. Double-click the Asana source to open the source component editor.
  2. In the Connection Manager menu, select the connection manager previously created.
  3. Specify the query to use for the data extraction. For example: SELECT Id, WorkspaceId FROM projects WHERE Archived = 'true'
  4. Close the Asana Source control and connect it to the ADO.NET Destination.

Configure the SQL Server Destination

Follow the steps below to specify the SQL server table to load the Asana data into.

  1. Open the ADO.NET Destination and add a New Connection. Enter your server and database information here.
  2. In the Data access mode menu, select "table or view".
  3. In the Table Or View menu, select the table or view to populate.
  4. Configure any properties you wish to on the Mappings screen.

Run the Project

You can now run the project. After the SSIS Task has finished executing, your database will be populated with Asana data.

 

Connect to Autify Data in NetBeans

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Autify JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Autify test senarios and results.



Connect to Autify data in NetBeans with the data source configuration wizard.

The CData JDBC Driver for Autify integrates connectivity to live Autify data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to Autify data in NetBeans. You will create a connection and edit and save Autify data in the Table Editor.

Create a JDBC Data Source for Autify in NetBeans

To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:

  • Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.autify.jar file. The driver JAR is located in the lib subfolder of the installation directory.
  • Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.autify.AutifyDriver from the menu.
  • Name: Enter the name for the driver.

Define Connection Parameters

Follow the steps below to define required connection properties:

  1. In the Service window, right-click the Database node and click New Connection.

  2. In the New Connection Wizard, enter the following connection properties:

    • Driver Name: In the menu, select the CData JDBC Driver for Autify.
    • User Name: Enter the username. This can also be defined in the JDBC URL.
    • Password: Enter the password. This can also be defined in the JDBC URL.
    • JDBC URL: Specify the JDBC URL.

      In order to authenticate, you must specify the Autify API Key and Project ID:

      • ApiKey: Log into your account and go to Configurations/Personal Settings and create "New personal access token".
      • ProjectId: ID of the project in your account URL. For ex: If URL is "https://app.autify.com/projects/343/scenarios", 343 is your ProjectId.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Autify JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.autify.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      A typical JDBC URL is the following:

      jdbc:autify:ProjectId=255;ApiKey=M9e88D3s31b35347EgNVa;

Query Autify Data

To connect to Autify data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.

To load a table in the Data Views window, right-click the table and then click View Data. You can also insert, update, or delete records in the Data Views window.