GitHub user dosubot[bot] added a comment to the discussion: Issue with 
Incremental Dataset Refresh and Auto Time Grain

<!-- Answer -->
I couldn't find specific information on the exact configuration needed in 
`config.py` for the 'Auto' time grain feature in Superset. Additionally, 
details on how Superset handles incremental dataset refreshes and their 
configurations are not available in the provided context. 

However, for managing virtual datasets with custom SQL queries, it's important 
to define time grain expressions specific to your database's SQL dialect. You 
can add new time grains via configuration by specifying them in 
`TIME_GRAIN_ADDONS` and implementing them in `TIME_GRAIN_ADDON_EXPRESSIONS` 
<sup>[[1]](https://github.com/apache/superset/blob/master/superset/db_engine_specs/README.md)</sup><sup>[[2]](https://github.com/apache/superset/blob/master/superset/db_engine_specs/sqlite.py)</sup>.

If you need further assistance, you might want to explore the Superset 
documentation or the codebase for more detailed guidance on these features.


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GitHub link: 
https://github.com/apache/superset/discussions/33439#discussioncomment-13148241

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