Asana Connector for Azure Data Factory (Pipeline)Read and write data related to Tasks, Projects, Workspaces, Portfolios, TimeEntries, Memberships and more. In this article you will learn how to quickly and efficiently integrate Asana data in Azure Data Factory (Pipeline) without coding. We will use high-performance Asana Connector to easily connect to Asana and then access the data inside Azure Data Factory (Pipeline). Let's follow the steps below to see how we can accomplish that! Asana Connector for Azure Data Factory (Pipeline) is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few. |
Connect to Asana in other apps
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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:
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Download and install ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User data source (User DSN) based on ZappySys API Driver
ZappySys API Driver-
Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
in design-time , when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit. -
Create and use System DSN
if the client application is launched under a System Account, e.g. as a Windows Service.
Usually, this is an ideal option to use
in a production environment . Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
Azure Data Factory (Pipeline) uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN. -
Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
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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:
AsanaDSNAsana -
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.
Steps how to get and use Asana credentials
Here is how to obtain a Personal Access Token (PAT) in Asana:-
Open My apps in Asana portal
and click Create new token button:
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Once a popup opens, name your new token:
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Then click Copy button to copy the token:
- Now go to SSIS package or ODBC data source and use this token in Personal Access Token authentication configuration.
- Choose Default Workspace and Default Project to work with.
- Click Test Connection to confirm the connection is working.
- Done! Now you are ready to use Asana Connector!
Fill in all required parameters and set optional parameters if needed:
AsanaDSNAsanaPersonal Access Token [Http]https://app.asana.com/api/1.0Required Parameters Enter Token (Personal Access Token - PAT) Fill-in the parameter... Default Workspace Fill-in the parameter... Default Project Fill-in the parameter... Optional Parameters RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True Steps how to get and use Asana credentials
Here is how to register an OAuth app in Asana:-
Open My apps in Asana portal
and click Create new app button:
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Once a popup opens, name your app and check two options, and click Create app button:
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Then copy Client ID and Client secret and save them in a file (we will need them for authentication):
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Continue by selecting OAuth menu item on your left and click Add redirect URL button (you can have your own or use
https://zappysys.com/oauth
): - Proceed by clicking on the Manage distribution section on your left.
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Then specify workspaces your app needs to access (use Any workspace to access them all):
- Once you do that, click Save changes button.
- Now go to SSIS package or ODBC data source and use Client ID, Client Secret, and Redirect URL in OAuth app authentication configuration.
- When you are done with that, click Generate Token button to generate Access and Refresh Tokens.
- Choose Default Workspace and Default Project to work with.
- Click Test Connection to confirm the connection is working.
- Done! Now you are ready to use Asana Connector!
Fill in all required parameters and set optional parameters if needed:
AsanaDSNAsanaOAuth app [OAuth]https://app.asana.com/api/1.0Required Parameters ClientId Fill-in the parameter... Client Secret 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... Optional Parameters Permissions default Redirect URL https://zappysys.com/oauth RetryMode RetryWhenStatusCodeMatch RetryStatusCodeList 429 RetryCountMax 5 RetryMultiplyWaitTime True -
Open My apps in Asana portal
and click Create new token button:
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Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:
ZappySys API Driver - AsanaRead and write data related to Tasks, Projects, Workspaces, Portfolios, TimeEntries, Memberships and more.AsanaDSN -
Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Azure Data Factory (Pipeline) to retrieve data from Asana. Hit OK button to use this query in the next step.
SELECT * FROM Workspaces
Some parameters configured in this window will be passed to the Asana API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful datamuch faster . -
Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Azure Data Factory (Pipeline):
ZappySys API Driver - AsanaRead and write data related to Tasks, Projects, Workspaces, Portfolios, TimeEntries, Memberships and more.AsanaDSNSELECT * FROM Workspaces
You can also access data quickly from the tables dropdown by selecting <Select table>.AWHERE
clause,LIMIT
keyword will be performed on the client side, meaning that thewhole result set will be retrieved from the Asana API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Asana servers). -
Click OK to finish creating the data source.
Video Tutorial
Read data in Azure Data Factory (ADF) from ODBC datasource (Asana)
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To start press New button:
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Select "Azure, Self-Hosted" option:
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Select "Self-Hosted" option:
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Set a name, we will use "OnPremisesRuntime":
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Download and install Microsoft Integration Runtime.
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Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:
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After finishing registering the Integration Runtime node, you should see a similar view:
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Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:
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Go to Linked services section and create a new Linked service based on ODBC:
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Select "ODBC" service:
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Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:
AsanaDSNDSN=AsanaDSN -
For created ODBC service create ODBC-based dataset:
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Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:
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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:
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Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:
Actions supported by Asana Connector
Learn how to perform common Asana actions directly in Azure Data Factory (Pipeline) with these how-to guides:
- Download Attachment
- Download Multiple Attachments
- Get Allocations
- Get Attachments (For Project refer to Key-Resources Upload only)
- Get Goals
- Get Memberships
- Get Portfolio Custom Fields
- Get Portfolios
- Get Project (Single)
- Get Project Custom Fields
- Get Project Section
- Get Project Sections
- Get Projects
- Get Sub Tasks
- Get Tags
- Get Task (Single)
- Get Tasks
- Get Time Tracking Entries
- Get User (Single)
- Get User Task Lists
- Get Users
- Get Workspace (Single)
- Get Workspace Custom Fields
- Get Workspace Tasks
- Get Workspace Teams
- Get Workspaces
- Search Tasks (Advanced Filter)
- Generic Request
- Generic Request (Bulk Write)
Conclusion
In this article we showed you how to connect to Asana in Azure Data Factory (Pipeline) and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Asana, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).
We encourage you to download Asana Connector for Azure Data Factory (Pipeline) and see how easy it is to use it for yourself or your team.
If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.
Download Asana Connector for Azure Data Factory (Pipeline) Documentation
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