GitHub user dosubot[bot] added a comment to the discussion: color_scheme always back to supersetColors when chart is exported
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Here's what's preserved and what's not: - ✅ **Preserved**: `metrics`, `dimensions` (groupby), `color_scheme`, `show_legend`, and other chart controls inside `params` — these survive export/import as-is [[1]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/a95a11e8-672d-4313-bf9d-27f493b64e25) [[2]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/8936b6ae-fb08-4651-9b28-3f288cb1dedf). - ✅ **Preserved**: `slice_name`, `viz_type`, `cache_timeout`, `query_context` [[3]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/models/slice.py#L124-L137). - ⚠️ **Rewritten**: Datasource references are remapped to match the target environment's database/dataset IDs [[2]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/8936b6ae-fb08-4651-9b28-3f288cb1dedf). - ❌ **Stripped**: `EVENT`/`INTERVAL` annotation layers are dropped — only `FORMULA` annotations survive [[1]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/a95a11e8-672d-4313-bf9d-27f493b64e25). - ❌ **Not included in chart export**: Dashboard-level color settings (`shared_label_colors`, `map_label_colors`) — these only come along with a full dashboard export [[4]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/59a4473a-a06b-425d-901e-621f4788d232). So your metrics and dimensions **should not change** during export/import. If `color_scheme` is saved in the chart's `params`, it should also be preserved. *** **Where to run the SQL query?** The `dashboard_slices` table is in Superset's **metadata database** — this is the database configured via `SQLALCHEMY_DATABASE_URI` in your Superset config [[5]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/e9c2a7fd-c52b-4843-95ce-22cbe4bc5087). It's typically PostgreSQL, MySQL, or SQLite depending on your setup. You'd connect to it directly using a database client (`psql`, `mysql`, `sqlite3`, DBeaver, etc.) — **not** through SQL Lab, which is meant for querying your analytics data sources [[6]](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/317d99fb-71b7-4bbb-a494-a7c1b19c80c8). If you don't have direct database access, there's an **API alternative**: ``` GET /api/v1/dashboard/<dashboard_id_or_slug>/charts ``` This returns all charts associated with your dashboard [[7]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/dashboards/api.py#L489-L531) [[8]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/daos/dashboard.py#L79-L92). You can hit this from your browser or with `curl`. If the response only shows 1 chart, that confirms the other 2 aren't properly linked in the database, and you'd need to remove and re-add them to the dashboard via the UI to fix the association. *** **About your export still showing only 1 chart**: since you've tried multiple times with the same result, also try clearing your browser cache or using incognito mode — there's a [known caching issue](https://app.dosu.dev/a28d3c7e-a9d3-459e-9fb6-3a6f9ff4f357/documents/557074d3-db6d-4d4a-982c-e08664f0e94e) where the export endpoint can serve stale ZIP files. If that doesn't help, use the API above to confirm how many charts are actually linked to your dashboard. <!-- Dosu Comment Footer --> *To reply, just mention [@dosu](<https://go.dosu.dev/dosubot?utm_source=github&utm_medium=bot-comment&utm_campaign=github-comment-footer-20260415&utm_content=reply-with-mention&utm_term=apache%2Fsuperset>).* --- Docs are dead. 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