Upcoming Change - Improved Attribute Filters
We are going to update attribute filters handle values with non-unique secondary labels, such as users sharing the same User Name.
Current Behavior:
When an attribute (e.g., User) has a unique primary label (e.g., User ID: 1234) and a more readable secondary label (e.g., User Name: John Doe), filtering by the User Name (if multiple users are named John Doe) results in all John Does being combined into a single filter value.
New Behavior:
The improved filter will display each attribute value even if the secondary label is not unique. This means you will see all instances of John Doe separately, with a tooltip showing the primary label (e.g., User ID) to help differentiate them. The filter’s behavior will be consistent across dashboards, visualizations, and drilling or exploring further interactions, regardless of which label is displayed.
This change is straightforward for end users. However, the metadata will have a new ‘Display as label’ parameter to indicate which label should represent the attribute in the GUI. This parameter must be considered when using filters in dashboards, visualizations, drilling, POST messages and events, SDK filter definitions, and cross-filtering. From now on, the filter will always be defined by the attribute’s primary label and values, which you should reflect when defining external filters (e.g., in POST messages).
We do not expect any changes to existing dashboards will be needed. The selection of text from the secondary label will be automatically transformed into a selection of individual attribute values with the value of the secondary label.
More details will be provided in upcoming release notes.
GoodData Python SDK 1.25.0
New version of the Python SDK is available today. Please note that in this version we have dropped support for Python version 3.8, please ensure your Python version is up to date if you update to this version of GoodData Python SDK. For details see the changelog.