Enhanced Data Integrity and Re-import Capabilities
We've significantly improved the robustness of our data import process, particularly for concurrent re-imports. This enhancement ensures that when multiple re-import operations for the same data occur simultaneously, only one will successfully complete, preventing data duplication and ensuring a consistent, reliable dataset. This addresses a critical issue where duplicate imports could lead to inaccurate insights.
Furthermore, we've implemented a supersession mechanism for re-imports, specifically beneficial for sources like Framo and Power BI. This means that re-importing data for a specific period will now intelligently replace previous loads rather than creating duplicate entries. This provides a cleaner data history and ensures that your analysis always reflects the most up-to-date information, resolving instances where re-imports were incorrectly inflating figures.
These updates enhance the overall stability and accuracy of the Lotta Supply platform. By ensuring data integrity and improving the handling of re-imports, we are providing a more dependable foundation for your supply chain insights. The system is now more resilient to overlapping operations and provides clearer data provenance.
View source activity
Commits (2)
- v0.0.11.0 feat: serialize concurrent upstream re-imports (LOT-233)
- v0.0.10.0 feat: Framo/Power BI re-import supersession (LOT-136)
Pull Requests (2)
- #295: v0.0.11.0 feat: serialize concurrent upstream re-imports (LOT-233)
- #294: v0.0.10.0 feat: Framo/Power BI re-import supersession (LOT-136)