LaggAt/DimensionTabler
Builds dimension tables with configurable/variable granularity. Keeps those tables up-to-date. This makes reporting queries performant and doable. I use it with https://grafana.com/
PythonGPL-3.0
Issues
- 1
Performance with intermediate table
#5 opened by LaggAt - 0
update only if necessary
#4 opened by LaggAt - 0
add linking to source rows ...
#3 opened by LaggAt - 0
update older dimension table rows
#1 opened by LaggAt - 0
remove console output, use progress callback
#2 opened by LaggAt