We are very happy to release version
0.4.2
of the unified package
Summary
This release introduces enhancements to the initialization checks and refinements in data handling, particularly in Databricks/Spark environments. These updates ensure smoother operations and better data integrity checks.
Features
- Introduced a new validation test to halt the process early if all required seeds are not present in the data warehouse. This ensures all necessary data components are available before proceeding.
Fixes
-
Revised the field casting approach within Databricks/Spark to enhance data handling and compatibility.
-
Removed the non-null constraint test on
user_identifier
to prevent unnecessary validation errors and allow for more flexible data integration.
Upgrading
Update the snowplow-unified version in your packages.yml
file to take advantage of these improvements.