> For the complete documentation index, see [llms.txt](https://help.tellius.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.tellius.com/tellius-5.6/embedding-tellius/embedding-url/embedding-search/search-query-execution.md). # Search query execution After connecting with Tellius, the embedding app will contain the Search page component from Tellius. Once the Search page is loaded in the embedding app, users can type the required query in the search box. ### **Request** After typing the query and clicking on Enter, the following postMessage (consisting of the query) will be sent from Tellius: ```json { "actionType":"SEARCH_QUERY_REQUEST", "corrId":"4y1XV", "enterKeyPress":true, "performQuery":true, "query":"show total profit" } ``` ### **Response** After receiving the result, the following postMessage will be sent from Tellius: ```json { "actionType":"SEARCH_QUERY_RESPONSE", "vizResponse":{ "vizResponseType":"kpi", "viz":{ "vizType":"kpi", "title":"Total profit", "theme":{ "vizBackground":{ "transparency":"0.9", "image":"img/test", "color":"white" }, "name":"dark", "color":"black" }, "size":{ "width":200, "height":100 }, "placement":{ "yDistance":20, "xDistance":10 }, "metadata":{ "language":"english", "format":{ "title":{ "font":{ "weight":"normal", "size":"16", "color":"#000000" }, "enabled":true }, "legend":{ "font":{ "weight":"normal", "size":"14", "color":"#78909c" }, "enabled":true }, "colorPaletteInfo":{ "colors":[ "#1565C0", "#F57F17", "#558B2F", "#BF360C", "#5E35B1", "#00838F", "#C62828", "#827717", "#E65100", "#5D4037", "#AD1457", "#6A1B9A", "#1976D2", "#F9A825", "#689F38", "#D84315", "#673AB7", "#0097A7", "#D32F2F", "#9E9D24", "#EF6C00", "#6D4C41", "#C2185B", "#7B1FA2", "#42A5F5", "#FFEB3B", "#9CCC65", "#FF8A65", "#9575CD", "#4DD0E1", "#EF5350", "#C0CA33", "#FF9800", "#8D6E63", "#EC407A", "#AB47BC", "#64B5F6", "#FFF176", "#AED581", "#FFAB91", "#B39DDB", "#80DEEA", "#E57373", "#D4E157", "#FFB74D", "#A1887F", "#F06292", "#BA68C8", "#90CAF9", "#FFF59D", "#C5E1A5", "#FFCCBC", "#D1C4E9", "#B2EBF2", "#EF9A9A", "#DCE775", "#FFCC80", "#BCAAA4", "#F48FB1", "#CE93D8" ] }, "background":{ "enableGrid":false, "color":"#FFFFFF" }, "axes":{ "yAxis":{ "enabled":true }, "xAxis":{ "enabled":true }, "font":{ "weight":"normal", "size":"14", "color":"#78909c" } } }, "dualAxis":true, "colorPalette":"401300fe-58ae-42ad-b185-ce1f4a181d73" }, "id":"5f6b92e5-6711-4c8b-841f-763cf9f7b171", "chartType":"simpleCount", "businessViewId":"bv_d5dfeeb5-9a4a-4fac-92a0-a51a07da52d9", "axes":{ "yAxis":[ { "columnName":"profit", "aggregation":"sum" } ], "isMultipleAxes":false } }, "tooltip":[ { "translatedAggregation":"sum", "originalValue":2698921, "isYAxis":true, "isXAxis":false, "isGroupBy":false, "formattedValue":"2.7M", "columnName":"profit", "alias":"profit", "aggregation":"sum" } ], "responseText":"**Total profit** is **2698921**", "possibleTransitions":[ "funnel", "detailTable", "simpleCount", "radialProgress", "viewData", "interactiveTable", "histogram", "bar", "column", "barConversion", "table" ], "possibleBucketInfo":{ "possibleBuckets":{ "measureType":{ "values":{ "tooltips":5, "measures":0 } } } }, "metadata":{ "tqlResponseRowCount":1, "totalRowCount":0, "timeTakenInMilliSeconds":244, "responseDataCount":1 }, "count":"2.7M", "columns":[ { "name":"profit", "format":{ "type":"number", "isCommaSeparated":false, "displayUnit":"default", "decimals":2 }, "datasetName":"bv_guide_query", "datasetId":"bv_d5dfeeb5-9a4a-4fac-92a0-a51a07da52d9", "aggregation":"sum" } ], "columnDetails":{ "measureType":[ { "column":{ "name":"profit", "isWeekEndDate":false, "aggregation":"sum" }, "bucket":"measures" } ], "dimensionType":[ ], "dateType":[ ] } }, "responseType":"vizResponse", "metadata":{ "witResponse":{ "query":"show total profit", "intent":"Chart", "entities":{ "businessViewId":[ { "value":{ "value":"bv_d5dfeeb5-9a4a-4fac-92a0-a51a07da52d9", "type":"string" }, "start":0, "end":0, "confidence":1 } ], "aggregatedField":[ { "value":{ "type":"aggregation", "columnStartIndexInQuery":11, "aggregationField":{ "name":"profit", "isExpression":false, "datasetName":"bv_guide_query", "datasetId":"bv_d5dfeeb5-9a4a-4fac-92a0-a51a07da52d9", "databaseTable":"bv_d5dfeeb5-9a4a-4fac-92a0-a51a07da52d9" }, "aggregation":"total" }, "start":5, "end":17, "confidence":1 } ] }, "confidence":0.9183534383773804 }, "tokens":[ { "type":"measure", "tokenString":"total profit", "suggestions":[ { "type":"measure", "tokenString":"avg profit", "suggestions":[ ], "column":{ "name":"profit" }, "aggregation":"avg" }, { "type":"measure", "tokenString":"min profit", "suggestions":[ ], "column":{ "name":"profit" }, "aggregation":"min" }, { "type":"measure", "tokenString":"max profit", "suggestions":[ ], "column":{ "name":"profit" }, "aggregation":"max" }, { "type":"measure", "tokenString":"total profit", "suggestions":[ ], "column":{ "name":"profit" }, "aggregation":"total" }, { "type":"measure", "tokenString":"marketShare profit", "suggestions":[ ], "column":{ "name":"profit" }, "aggregation":"marketShare" }, { "type":"measure", "tokenString":"sum cost", "suggestions":[ ], "column":{ "name":"cost" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum customer_id", "suggestions":[ ], "column":{ "name":"customer_id" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum revenue", "suggestions":[ ], "column":{ "name":"revenue" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum store_id", "suggestions":[ ], "column":{ "name":"store_id" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum competition_distance", "suggestions":[ ], "column":{ "name":"competition_distance" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum store_lat", "suggestions":[ ], "column":{ "name":"store_lat" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum store_lon", "suggestions":[ ], "column":{ "name":"store_lon" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum store_zip", "suggestions":[ ], "column":{ "name":"store_zip" }, "aggregation":"sum" }, { "type":"measure", "tokenString":"sum age", "suggestions":[ ], "column":{ "name":"age" }, "aggregation":"sum" } ], "start":5, "end":17, "column":{ "name":"profit" }, "aggregation":"sum" } ], "suggestions":[ ], "rowsCount":1, "responseType":"viz", "original":"show total profit", "filterDescriptions":[ ], "chartType":"simpleCount", "chartTitle":"Total profit", "BVId":"bv_d5dfeeb5-9a4a-4fac-92a0-a51a07da52d9" }, "corrId":"4y1XV", "filterDescriptions":[ ] } ``` ### **Add to Vizpads** For more details on adding Search to a Vizpad, please [refer to this section](/tellius-5.6/embedding-tellius/embedding-url/embedding-vizpads/adding-a-viz-to-a-vizpad.md). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://help.tellius.com/tellius-5.6/embedding-tellius/embedding-url/embedding-search/search-query-execution.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.