Featurebyte

💡 Enhancements

+ `session` Add support for BigQuery as a feature store backend
+ `service` Update ItemTable.get_view() method to auto-resolve column name conflicts by removing the conflicting column from the event table
+ `dependencies` Bump vulnerable dependencies.
+ jupyterlab to `^4.2.5`
+ aiohttp to `^3.10.2`
+ `service` Tighten asset name length validation in the service from 255 to 230 characters
+ `service` Allow some special columns (event_id_column, item_id_column, natural_key_column) to be optional during table registration.
+ `service` Support VARCHAR columns with a maximum length (previously detected as UNKNOWN)

🐛 Bug Fixes

+ `websocket` Fixes issue with websocket connection not disconnecting properly

🛑 Breaking Changes

+ `service` Remove default values for mandatory arguments in aggregation methods such as aggregate_over.
The value_column parameter must now be provided.

💡 Enhancements

+ `linting` Using ruff as the linter for the project
+ `package` Upgrade Pydantic to V2

⚠️ Deprecations

+ `dependencies` Deprecation of `sasl` library to support python 3.11

🐛 Bug Fixes

+ `service` Fix feature metadata extraction throwing KeyError during feature info retrieval
+ `session` Handle schema and table listing for catalogs without information schema in DataBricks Unity.

💡 Enhancements

+ `service` Validate aggregation method is supported in more aggregation methods
+ `service` Added support for count_distinct aggregation method

🐛 Bug Fixes

+ `numpy` Explicitly Set lower bound for numpy version to <2.0.0

💡 Enhancements

+ `worker` Speed up table description by excluding top and most frequent values for float and timestamp columns.

🐛 Bug Fixes

+ `api` Fix materialized table download failure.

💡 Enhancements

+ `service` Improve feature job efficiency for latest aggregation features without window
+ `service` Add support for updating feature store details

🐛 Bug Fixes

+ `service` Fix error when using request column as key in dictionary feature operations

💡 Enhancements

+ `sdk-api` Use workspace home as default config path in databricks environment.