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chore: Update documentation on schema changes (#16784)
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@ -183,10 +183,10 @@ You can read more about customizing Superset using the configuration file
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Table schemas evolve, and Superset needs to reflect that. It’s pretty common in the life cycle of a
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dashboard to want to add a new dimension or metric. To get Superset to discover your new columns,
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all you have to do is to go to **Menu -> Sources -> Tables**, click the edit icon next to the table
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who’s schema has changed, and hit **Save** from the **Detail** tab. Behind the scene, the new
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columns will get merged it. Following this, you may want to re-edit the table afterwards to
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configure the Column tab, check the appropriate boxes and save again.
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all you have to do is to go to **Data -> Datasets**, click the edit icon next to the dataset
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whose schema has changed, and hit **Sync columns from source** from the **Columns** tab.
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Behind the scene, the new columns will get merged it. Following this, you may want to re-edit the
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table afterwards to configure the Columns tab, check the appropriate boxes and save again.
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### What database engine can I use as a backend for Superset?
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@ -212,12 +212,6 @@ You can take a look at this Flask-AppBuilder
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Simply apply the filter and save the dashboard while the filter is active.
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### How do I get Superset to refresh the schema of my table?
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When adding columns to a table, you can have Superset detect and merge the new columns in by using
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the “Refresh Metadata” action in the **Source -> Tables** page. Simply check the box next to the
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tables you want the schema refreshed, and click **Actions -> Refresh Metadata**.
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### Is there a way to force the use specific colors?
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It is possible on a per-dashboard basis by providing a mapping of labels to colors in the JSON
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