Asana Connector for Azure Data Factory (Pipeline) In this article you will learn how to integrate Asana data in Azure Data Factory (Pipeline) without coding in just a few clicks (live / bi-directional connection to Asana). Read and write data related to Tasks, Projects, Workspaces, Portfolios, TimeEntries, Memberships and more.. Using Asana Connector you will be able to connect, read, and write data from within Azure Data Factory (Pipeline). Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

Connect to Asana in other apps Connect to Asana in SSIS Connect to Asana in SQL Server Connect to Asana in Power BI Connect to Asana in SSRS Connect to Asana in Informatica Connect to Asana in MS Access Connect to Asana in MS Excel Connect to Asana in SSAS Connect to Asana in C# Connect to Asana in Python Connect to Asana in JAVA Connect to Asana in Tableau Connect to Asana in SAP Crystal Reports Connect to Asana in Azure Data Factory (SSIS) Connect to Asana in Talend Studio Connect to Asana in UiPath Connect to Asana in PowerShell Connect to Asana in ODBC

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Asana using Azure Data Factory (Pipeline) we first need to create a DSN (Data Source) which will access data from Asana. We will later be able to read data using Azure Data Factory (Pipeline). Perform these steps:

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a System Data Source (System DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version. Furthermore, a User DSN may be created instead, but then you will not be able to use the connection from Windows Services(or any application running under a Windows System Account).

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Asana" from the list of Popular Connectors. If "Asana" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   AsanaDSN

   Asana

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    Token [Http]

   Steps to get Asana Credentials
   Here is how to obtain PAT (Personal Access Token). .

   1. Follow this link and click to Create new token.
   2. Once token generated copy it enter in Token field on this UI. Treat Token like a Password, keep it secure.

   Fill in all required parameters and set optional parameters if needed:

   AsanaDSN

   Asana

   Token [Http]

   https://app.asana.com/api/1.0

   Required Parameters
   Optional Parameters
   Enter Token (Personal Access Token - PAT)	Fill in the parameter...
   Default Workspace (** Select after Token is entered **)	Fill in the parameter...
   Default Project (** Select after Token is entered **)	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

    OAuth [OAuth]

   Steps to get Asana Credentials
   Here is how to register OAuth App.

   1. Follow this link and click to Create new app under My Apps.
   2. Give your app a name e.g. My Integration. Check one of the options | Check I Agree | Click Create app
   3. Copy Client Id and Secret. Keep it secure, we will use it later on API Connection UI.
   4. Click on the OAuth section (Under Configure) on your left. Under the Redirect URLs Click [Add redirect URL] button. Enter URL like this https://zappysys.com/oauth. Do not use any random URL otherwise it may not work.
   5. Click on the Manage distribution section (Under Test & distribute) on your left. Here you can add specific workspaces you like to access using this App. If you like to access any workspace then choose [Any workspace] option
   6. Click [Save changes] button. Might be located all the way bottom right on your screen.
   7. Now go back to connection UI and enter ClientId, Client Secret and Redirect URL (match exactly).
   8. Click Generate Token and follow the login prompts. If everything goes well you will see Refresh Token generated.
   9. Choose Default Workspace and Default Project.
   10. Click Test connection to confirm. Now you are ready to use this connection.

   Fill in all required parameters and set optional parameters if needed:

   AsanaDSN

   Asana

   OAuth [OAuth]

   https://app.asana.com/api/1.0

   Required Parameters
   ClientId	Fill in the parameter...
   Client Secret	Fill in the parameter...
   Optional Parameters
   Permissions	Fill in the parameter...
   Redirect URL	Fill in the parameter...
   Default Workspace (** Select after Token is generated **)	Fill in the parameter...
   Default Project (** Select after Token is generated **)	Fill in the parameter...
   RetryMode	Fill in the parameter...
   RetryStatusCodeList	Fill in the parameter...
   RetryCountMax	Fill in the parameter...
   RetryMultiplyWaitTime	Fill in the parameter...

   

6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
   

7. Click OK to finish creating the data source.

Video instructions

Read data in Azure Data Factory (ADF) from ODBC datasource (Asana)

1. To start press New button:

   

2. Select "Azure, Self-Hosted" option:

   

3. Select "Self-Hosted" option:

   

4. Set a name, we will use "OnPremisesRuntime":

   

5. Download and install Microsoft Integration Runtime.

6. Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:

   

7. After finishing registering the Integration Runtime node, you should see a similar view:

   

8. Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:

   

9. Go to Linked services section and create a new Linked service based on ODBC:

   

10. Select "ODBC" service:

    

11. Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:

    AsanaDSN

    DSN=AsanaDSN

    

12. For created ODBC service create ODBC-based dataset:

    

13. Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:

    

14. Then go to Sink section and select a destination/sink dataset. In this example we use precreated AzureBlobStorageDataset which saves data into an Azure Blob:

    

15. Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:

    

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
   Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
   

   CREATE PROCEDURE [usp_get_orders]
       @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
    AS
       SELECT * FROM Orders where OrderDate >= '<@fromdate>';
   

   
   

4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
   

   Exec usp_get_orders '1996-01-01';

   
   

5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
   Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
   

   SELECT
     "ShipCountry",
     "OrderID",
     "CustomerID",
     "EmployeeID",
     "OrderDate",
     "RequiredDate",
     "ShippedDate",
     "ShipVia",
     "Freight",
     "ShipName",
     "ShipAddress",
     "ShipCity",
     "ShipRegion",
     "ShipPostalCode"
   FROM "Orders"
   Where "ShipCountry"='USA'

   
   

5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
   

   SELECT * FROM "vt__usa_orders_only"

   
   

6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Actions supported by Asana Connector

Asana Connector Examples for Azure Data Factory (Pipeline) Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

SELECT * FROM Workspaces

SELECT * FROM Projects

SELECT * FROM Tasks

SELECT * FROM Tasks WITH (ProjectId='1200652735638082')

SELECT * FROM download_attachment 
WITH (
   AttachmentId='1208216218258030'
 , TargetFilePath='c:\temp\1208216218258030_AWS-refund-request.png' 
 , FileOverwriteMode=0 --0=AlwaysOverwrite, 1=FailIfExists, 2=SkipIfExists
)

SELECT * FROM download_attachments
WITH (
   ParentId='1206673375982078' --Id of Task , Project or ProjectBrief
 , SaveFolder='c:\temp' 
 , OverwriteFile=1
)

SELECT * FROM Portfolios WITH(OwnerId='1200442904128317')

SELECT * FROM Portfolios WITH(OwnerId='1200442904128317', WorkspaceId='1200442900140748')

SELECT * FROM Goals WITH(Project='1206673375982078')

SELECT * FROM Goals WITH(Workspace='1200442900140748')

SELECT * FROM Goals WITH(Team='1200442900140748')

SELECT * FROM Memberships WITH(ProjectId=1206673375982078)

SELECT * FROM Memberships WITH(PortfolioId=1206673375982077)

SELECT * FROM TimeTrackingEntries WITH(TaskId=1207150837043133)

Conclusion

In this article we discussed how to connect to Asana in Azure Data Factory (Pipeline) and integrate data without any coding. Click here to Download Asana Connector for Azure Data Factory (Pipeline) and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Asana Connector for Azure Data Factory (Pipeline) Documentation 

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