MallikarjunaReddyN opened a new issue, #38339: URL: https://github.com/apache/superset/issues/38339
### Bug description The search functionality in the Table chart stops working after a column label is edited or renamed. Although the updated label is reflected in the UI, the search mechanism does not recognize the new column name, suggesting a possible mismatch between the displayed label and the underlying data field reference. **Repo steps:** - Create Table chart - Enable server pagination & Search box - Edit the label for column in Dimension section. - Choose the edited/renamed label/column in Search by dropdown - Enter the value in search box ### Screenshots/recordings The bug is demonstrated below. **Before Editing the Label/Column:** https://github.com/user-attachments/assets/b95af2e1-280a-4c8a-b61f-91c8658ed7cc **After Editing the Label/Column:** https://github.com/user-attachments/assets/eef4e488-fb21-4c77-9106-2c33f6b8cef1 ### Superset version 6.0.0 ### Python version 3.11 ### Node version 18 or greater ### Browser Chrome ### Additional context **Endpoint details:** http://localhost:8099/api/v1/chart/data?form_data=%7B%22slice_id%22%3A122%7D **Payload:** {"datasource":{"id":26,"type":"table"},"force":false,"queries":[{"filters":[{"col":"Id","op":"ILIKE","val":"C001%"}],"extras":{"time_grain_sqla":"P1D","having":"","where":""},"applied_time_extras":{},"columns":[{"label":"Id","sqlExpression":"CustomerID","expressionType":"SQL"},"FirstName","LastName","Email","Phone"],"metrics":[],"orderby":[],"annotation_layers":[],"row_limit":10,"row_offset":0,"series_limit":0,"group_others_when_limit_reached":false,"order_desc":true,"url_params":{"slice_id":"122"},"custom_params":{},"custom_form_data":{},"post_processing":[],"time_offsets":[]},{"filters":[{"col":"Id","op":"ILIKE","val":"C001%"}],"extras":{"time_grain_sqla":"P1D","having":"","where":""},"applied_time_extras":{},"columns":[{"label":"Id","sqlExpression":"CustomerID","expressionType":"SQL"},"FirstName","LastName","Email","Phone"],"metrics":[],"orderby":[],"annotation_layers":[],"row_limit":10000,"row_offset":0,"series_limit":0,"group_others_when_limit_reached":false,"order_desc":true ,"url_params":{"slice_id":"122"},"custom_params":{},"custom_form_data":{},"post_processing":[],"time_offsets":[],"is_rowcount":true}],"form_data":{"datasource":"26__table","viz_type":"table","slice_id":122,"url_params":{"slice_id":"122"},"query_mode":"aggregate","groupby":[{"label":"Id","sqlExpression":"CustomerID","expressionType":"SQL"},"FirstName","LastName","Email","Phone"],"time_grain_sqla":"P1D","temporal_columns_lookup":{},"all_columns":[],"percent_metrics":[],"adhoc_filters":[],"order_by_cols":[],"server_pagination":true,"server_page_length":10,"row_limit":10000,"percent_metric_calculation":"row_limit","table_timestamp_format":"smart_date","include_search":true,"allow_render_html":true,"show_cell_bars":true,"color_pn":true,"comparison_color_scheme":"Green","conditional_formatting":[],"comparison_type":"values","extra_form_data":{},"force":false,"result_format":"json","result_type":"full"},"result_format":"json","result_type":"full"} **Response:** { "result": [ { "cache_key": "aa3216429da4e551f391fcfc226a3371", "cached_dttm": null, "cache_timeout": 300, "applied_template_filters": [], "annotation_data": {}, "error": null, "is_cached": null, "query": "SELECT \"CustomerID\" AS \"Id\", \"FirstName\" AS \"FirstName\", \"LastName\" AS \"LastName\", \"Email\" AS \"Email\", \"Phone\" AS \"Phone\" \nFROM public.employees GROUP BY \"CustomerID\", \"FirstName\", \"LastName\", \"Email\", \"Phone\" \n LIMIT 10;\n\n", "status": "success", "stacktrace": null, "rowcount": 10, "sql_rowcount": 10, "from_dttm": null, "to_dttm": null, "label_map": { "Id": [ "CustomerID" ], "FirstName": [ "FirstName" ], "LastName": [ "LastName" ], "Email": [ "Email" ], "Phone": [ "Phone" ] }, "colnames": [ "Id", "FirstName", "LastName", "Email", "Phone" ], "indexnames": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "coltypes": [ 1, 1, 1, 1, 0 ], "data": [ { "Id": "C025", "FirstName": "Rajesh", "LastName": "Khanna", "Email": "[email protected]", "Phone": 9578901236 }, { "Id": "C020", "FirstName": "Swati", "LastName": "Mishra", "Email": "[email protected]", "Phone": 9623456781 }, { "Id": "C040", "FirstName": "Komal", "LastName": "Sethi", "Email": "[email protected]", "Phone": 9423456781 }, { "Id": "C018", "FirstName": "Ritu", "LastName": "Saxena", "Email": "[email protected]", "Phone": 9645678903 }, { "Id": "C034", "FirstName": "Varsha", "LastName": "Deshpande", "Email": "[email protected]", "Phone": 9489012347 }, { "Id": "C029", "FirstName": "Prakash", "LastName": "Shetty", "Email": "[email protected]", "Phone": 9534567892 }, { "Id": "C033", "FirstName": "Sachin", "LastName": "Naik", "Email": "[email protected]", "Phone": 9490123458 }, { "Id": "C015", "FirstName": "Deepak", "LastName": "Choudhary", "Email": "[email protected]", "Phone": 9678901236 }, { "Id": "C030", "FirstName": "Aarti", "LastName": "Dubey", "Email": "[email protected]", "Phone": 9523456781 }, { "Id": "C035", "FirstName": "Gaurav", "LastName": "Mittal", "Email": "[email protected]", "Phone": 9478901236 } ], "result_format": "json", "applied_filters": [], "rejected_filters": [ { "reason": "not_in_datasource", "column": "Id" } ] }, { "cache_key": "260346f2006d8e444d182c642138129f", "cached_dttm": null, "cache_timeout": 300, "applied_template_filters": [], "annotation_data": {}, "error": null, "is_cached": null, "query": "SELECT COUNT(*) AS rowcount \nFROM (SELECT \"CustomerID\" AS \"Id\", \"FirstName\" AS \"FirstName\", \"LastName\" AS \"LastName\", \"Email\" AS \"Email\", \"Phone\" AS \"Phone\" \nFROM public.employees GROUP BY \"CustomerID\", \"FirstName\", \"LastName\", \"Email\", \"Phone\" \n LIMIT 10000) AS rowcount_qry;\n\n", "status": "success", "stacktrace": null, "rowcount": 1, "sql_rowcount": 1, "from_dttm": null, "to_dttm": null, "label_map": { "rowcount": [ "rowcount" ], "Id": [ "CustomerID" ], "FirstName": [ "FirstName" ], "LastName": [ "LastName" ], "Email": [ "Email" ], "Phone": [ "Phone" ] }, "colnames": [ "rowcount" ], "indexnames": [ 0 ], "coltypes": [ 0 ], "data": [ { "rowcount": 45 } ], "result_format": "json", "applied_filters": [], "rejected_filters": [ { "reason": "not_in_datasource", "column": "Id" } ] } ] } **Debug information:** col_obj = columns_by_name.get(cast(str, flt_col)) - No column with name "Id", so col_obj is becoming null. Filters are not appending with **SELECT** query due to **col_obj "None"**. Here is query generated at backend: **'SELECT "CustomerID" AS "Id", "FirstName" AS "FirstName", "LastName" AS "LastName", "Email" AS "Email", "Phone" AS "Phone" \nFROM public.employees GROUP BY "CustomerID", "FirstName", "LastName", "Email", "Phone" \n LIMIT 10;\n\n'** <img width="1292" height="738" alt="Image" src="https://github.com/user-attachments/assets/ac1fd804-9fdf-4f57-ae28-e178e19d6410"; /> ### Checklist - [x] I have searched Superset docs and Slack and didn't find a solution to my problem. - [x] I have searched the GitHub issue tracker and didn't find a similar bug report. - [x] I have checked Superset's logs for errors and if I found a relevant Python stacktrace, I included it here as text in the "additional context" section. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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