We’ve updated and changed the versioning of the Data Manager Clients

[#1]

We’ve updated and changed the versioning of the Data Manager Clients

The Data Manager Clients are middleware components that are required to connect, cleanse, and import data using the command-line.

The Data Manager Clients are available in the Atlassian Marketplace.

We will now be using a three-part versioning number instead of the four-part versioning number we used before. This versioning will match the version shown in the Marketplace, as well as the versions of the individual Adapters Client and the Cleanse and Import Client that make up the package.

The newest version of the clients is now 1.2.0

We’ve also released documentation for a number of changes that were previously implemented in the Data Manager clients, including:

• Adapters Client

  • The colour of the ASCII art has been changed for better visibility and accessibility on light backgrounds.

  • Improved error messaging when an incorrect Workspace ID is provided.

  • Improved logging of error states.

  • Added a User Agent header to all requests to api.atlassian.com to comply with new internal requirements. This ensures requests are not blocked due to missing headers.

  • Implemented a check for proxy settings before performing a version update check, improving reliability.

  • Increased the timeout to 10 minutes to support large file uploads.

  • Improved warning messages related to data limits.

• FlatFile adapter

  • Improved handling of NULL values during import to ensure data integrity and prevent errors.

• Qualys adapter

  • Fixed a bug to handle NULL values in the API response, enhancing stability and reliability.

• Intune adapter

  • Corrected a typo in the commandline error message within the Intune adapter.

• Azure adapter

  • Resolved a bug to manage NULL values in the API response.

• Entra ID User adapter

  • Enhanced pagination capabilities for better performance and data retrieval.

• Crowdstrike adapter

  • Bug fix implemented to improve pagination, ensuring efficient data processing.

  • Improvements to handle pagination more gracefully.

• Dynatrace adapter

  • Addressed a bug to enhance pagination, improving data handling and performance.

[Dirk Ronsmans]

Hi @Karyn Findlay ,

Great news, this will surely help us in staying up to date with the latest version by following the marketplace app for new versions as we tend to run the adapter client mostly unattended.

Regarding: 

• FlatFile adapter

  • Improved handling of NULL values during import to ensure data integrity and prevent errors.

Will this also be done for the SQL Adapter? (I most likely totally incorrectly assume this would be a similar improvement? :))