dosubot[bot] commented on issue #43279: URL: https://github.com/apache/superset/issues/43279#issuecomment-5324382825
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That dispatches `SET_DATASOURCE` and `UPDATE_FORM_DATA_BY_DATASOURCE` to update the Redux store [[2]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/explore/actions/datasourcesActions.ts#L48-L56) [[3]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/explore/reducers/exploreReducer.js#L71-L118). The problem is that `show_select_columns` in the dataset REST API includes `columns.extra` and `metrics.extra` but **does not** include `columns.certified_by`, `columns.certification_details`, `columns.is_certified`, or `columns.warning_markdown` — those are computed `@property` values on the Python model that aren't exposed [[4]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/datasets/api.py#L148-L228). **Why metrics partially survive but columns don't** `DatasourceEditor`'s constructor already has a rehydration step for **metrics**: it parses `metric.extra` to extract `certified_by`, `certification_details`, and `warning_markdown` [[5]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/components/Datasource/DatasourceEditor.jsx#L630-L644). So metric *field values* survive (though `is_certified` is still missing from the API response, so the icon vanishes). For **columns and calculated columns**, there is no equivalent `extra` parsing — the renderer reads `record.is_certified`, `record.certified_by`, and `record.certification_details` directly from the column object [[6]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/components/Datasource/DatasourceEditor.jsx#L419-L424). Since those fields are absent from the API response, everything becomes `undefined` and the badges/values disappear. **Why refresh fixes it** On full page load, the Explore endpoint serializes the datasource through a different Python path that explicitly includes the computed `is_certified`, `certified_by`, `certification_details`, and `warning_markdown` properties for both columns and metrics. **Dataset swap** triggers the same bug because `ChangeDatasourceModal` also calls `this.onDatasourceSave` → `changeDatasource()` [[7]](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/explore/components/controls/DatasourceControl/index.jsx#L490-L496). **Possible fixes** 1. **Backend**: Add `columns.certified_by`, `columns.certification_details`, `columns.is_certified`, `columns.warning_markdown` (and the metric equivalents) to [`show_select_columns`](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset/datasets/api.py#L148-L213) in `DatasetRestApi`. 2. **Frontend (lowest-risk)**: In `DatasourceEditor`'s constructor, apply the same `extra`-parsing pattern already used for metrics to columns and calculated columns — parse `column.extra` and populate `is_certified`, `certified_by`, `certification_details`, and `warning_markdown` before setting state. This mirrors what already works at [lines 630-644](https://github.com/apache/superset/blob/829e4d92d91ceae4b43b1ed3b063ffe45377799c/superset-frontend/src/components/Datasource/DatasourceEditor.jsx#L630-L644). 3. **Frontend (alternative)**: After the modal save GET, re-fetch via `fetchDatasourceMetadata` instead of using the raw REST API response, to use the richer serialization path. Option 2 is the most surgical fix and directly mirrors the existing metric handling. <!-- 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. Just use [Dosu](https://dosu.dev?utm_source=github&utm_medium=bot-comment&utm_campaign=github-comment-footer-20260415&utm_content=static-docs-tagline&utm_term=apache%2Fsuperset). 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