Server Version: 46.47.0 Client Version: 1.189.0
Feature
Enable Usage of Different Spark Execution Context in ONE DATA
- Added technical basis for following topics
- The spark context can be configured manually in the properties
Python Execution Context
- Having scripts as integrated ONE DATA resource, to be able to manage them in ONE DATA
- Add functionality to create/read/update scripts
- Overview page of existing scripts
- Detail page for functions including an editor
Improvements
- Loading of Production Lines and Production Line Jobs optimized
- Improved performance of statistics calculation
- Performance improvements in the user settings
- Several smaller UI and visualization improvements
Bugs
- Fixed Data Table visualization in Data Table Load Processor for variable usage
- Database Connection Load Processor now works with a Hive Connection
- "Copy with Header" functionality of Result Table contains line breaks
- Add fix for occasionally missing parquet files
- Created Model Groups can now be seen by other users
- Production Line usage of different versions and variables improved
- Fixed the issue of Excessive Spark containers logging
Overall 38 bug fixes.