{ "model": "gemini-3.8-flash", "dataset": "aiml_docs_analytics", "tools": [ "get_table_info", "list_table_ids", "execute_sql" ], "all_tools": [ "get_dataset_info", "get_table_info", "list_dataset_ids", "list_table_ids", "get_job_info", "execute_sql", "forecast", "analyze_contribution", "detect_anomalies", "ask_data_insights", "search_catalog" ], "runs": { "traffic": { "question": "Which three docs pages had the most views in the week of October 12, and which site searches returned no results?", "transcript": "call list_table_ids {}\nresult list_table_ids {'result': ['page_views', 'search_queries']}\ncall get_table_info {'table_id': 'page_views'}\ncall get_table_info {'table_id': 'search_queries'}\nresult get_table_info {'kind': 'bigquery#table', 'etag': '7hItHnzBsD1S/sE59s+jdQ==', 'id': 'vertex-ai-experminent:aiml_docs_analytics.page_views', 'selfLink': 'https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/page_views', 'tableReference': {'projectId': 'vertex-ai-experminent', 'datasetId': 'aiml_docs_analytics', 'tableId': 'page_views'}, 'labels': {'aiml-le ...\nresult get_table_info {'kind': 'bigquery#table', 'etag': 'TmrqRcPcHQUXHGdpXyXgFQ==', 'id': 'vertex-ai-experminent:aiml_docs_analytics.search_queries', 'selfLink': 'https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/search_queries', 'tableReference': {'projectId': 'vertex-ai-experminent', 'datasetId': 'aiml_docs_analytics', 'tableId': 'search_queries'}, 'labels ...\ncall execute_sql {'query': 'SELECT DISTINCT day FROM `vertex-ai-experminent.aiml_docs_analytics.page_views` ORDER BY day'}\ncall execute_sql {'query': 'SELECT DISTINCT week FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` ORDER BY week'}\nresult execute_sql {'status': 'SUCCESS', 'rows': [{'day': '2026-10-12'}, {'day': '2026-10-13'}, {'day': '2026-10-14'}, {'day': '2026-10-15'}, {'day': '2026-10-16'}, {'day': '2026-10-17'}, {'day': '2026-10-18'}]}\nresult execute_sql {'status': 'SUCCESS', 'rows': [{'week': '2026-10-12'}]}\ncall execute_sql {'query': \"SELECT page, SUM(views) AS total_views\\nFROM `vertex-ai-experminent.aiml_docs_analytics.page_views`\\nWHERE day BETWEEN '2026-10-12' AND '2026-10-18'\\nGROUP BY page\\nORDER BY total_views DESC\\nLIMIT 3\"}\ncall execute_sql {'query': 'SELECT query, results, searches\\nFROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\\nWHERE results = 0'}\nresult execute_sql {'status': 'SUCCESS', 'rows': [{'page': 'deploy', 'total_views': 2512}, {'page': 'rollback', 'total_views': 1576}, {'page': 'tokens', 'total_views': 1037}]}\nresult execute_sql {'status': 'SUCCESS', 'rows': [{'query': 'shipctl release revert', 'results': 0, 'searches': 37}, {'query': 'rotate deploy token', 'results': 0, 'searches': 16}, {'query': 'canary deploy', 'results': 0, 'searches': 14}, {'query': 'shipctl login sso', 'results': 0, 'searches': 7}]}\nanswer ### Top 3 Most Viewed Docs Pages (Week of October 12, 2026)\n\n| Page | Total Views |\n| :--- | :--- |\n| **deploy** | 2,512 |\n| **rollback** | 1,576 |\n| **tokens** | 1,037 |\n\n---\n\n### Site Searches Returning Zero Results\n\n| Search Query | Results Returned | Search Count |\n| :--- | :--- | :--- |\n| **shipctl release revert** | 0 | 37 |\n| **rotate deploy token** | 0 | 16 |\n| **canary deploy** | 0 | 14 |\n| **shipctl login sso** | 0 | 7 |", "model_turns": [ { "parts": [ { "function_call": { "id": "call_454726", "args": {}, "name": "list_table_ids" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_572381", "args": { "table_id": "page_views" }, "name": "get_table_info" } }, { "function_call": { "id": "call_572382", "args": { "table_id": "search_queries" }, "name": "get_table_info" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_575016", "args": { "query": "SELECT DISTINCT day FROM `vertex-ai-experminent.aiml_docs_analytics.page_views` ORDER BY day" }, "name": "execute_sql" } }, { "function_call": { "id": "call_575017", "args": { "query": "SELECT DISTINCT week FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` ORDER BY week" }, "name": "execute_sql" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_868086", "args": { "query": "SELECT page, SUM(views) AS total_views\nFROM `vertex-ai-experminent.aiml_docs_analytics.page_views`\nWHERE day BETWEEN '2026-10-12' AND '2026-10-18'\nGROUP BY page\nORDER BY total_views DESC\nLIMIT 3" }, "name": "execute_sql" } }, { "function_call": { "id": "call_868087", "args": { "query": "SELECT query, results, searches\nFROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\nWHERE results = 0" }, "name": "execute_sql" } } ], "role": "model" }, { "parts": [ { "text": "### Top 3 Most Viewed Docs Pages (Week of October 12, 2026)\n\n| Page | Total Views |\n| :--- | :--- |\n| **deploy** | 2,512 |\n| **rollback** | 1,576 |\n| **tokens** | 1,037 |\n\n---\n\n### Site Searches Returning Zero Results\n\n| Search Query | Results Returned | Search Count |\n| :--- | :--- | :--- |\n| **shipctl release revert** | 0 | 37 |\n| **rotate deploy token** | 0 | 16 |\n| **canary deploy** | 0 | 14 |\n| **shipctl login sso** | 0 | 7 |" } ], "role": "model" } ], "tool_results": [ { "tool": "list_table_ids", "args": {}, "response": [ "page_views", "search_queries" ] }, { "tool": "get_table_info", "args": { "table_id": "page_views" }, "response": { "kind": "bigquery#table", "etag": "7hItHnzBsD1S/sE59s+jdQ==", "id": "vertex-ai-experminent:aiml_docs_analytics.page_views", "selfLink": "https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/page_views", "tableReference": { "projectId": "vertex-ai-experminent", "datasetId": "aiml_docs_analytics", "tableId": "page_views" }, "labels": { "aiml-lesson": "query-bigquery-with-bigquerytoolset" }, "schema": { "fields": [ { "name": "day", "type": "DATE", "mode": "NULLABLE" }, { "name": "page", "type": "STRING", "mode": "NULLABLE" }, { "name": "views", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "avg_seconds", "type": "INTEGER", "mode": "NULLABLE" } ] }, "numBytes": "1393", "numLongTermBytes": "0", "numRows": "42", "creationTime": "1792632262402", "lastModifiedTime": "1792632271044", "type": "TABLE", "location": "US", "numTotalLogicalBytes": "1393", "numActiveLogicalBytes": "1393", "numLongTermLogicalBytes": "0" } }, { "tool": "get_table_info", "args": { "table_id": "search_queries" }, "response": { "kind": "bigquery#table", "etag": "TmrqRcPcHQUXHGdpXyXgFQ==", "id": "vertex-ai-experminent:aiml_docs_analytics.search_queries", "selfLink": "https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/search_queries", "tableReference": { "projectId": "vertex-ai-experminent", "datasetId": "aiml_docs_analytics", "tableId": "search_queries" }, "labels": { "aiml-lesson": "query-bigquery-with-bigquerytoolset" }, "schema": { "fields": [ { "name": "week", "type": "DATE", "mode": "NULLABLE" }, { "name": "query", "type": "STRING", "mode": "NULLABLE" }, { "name": "results", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "searches", "type": "INTEGER", "mode": "NULLABLE" } ] }, "numBytes": "446", "numLongTermBytes": "0", "numRows": "10", "creationTime": "1792632267606", "lastModifiedTime": "1792632272963", "type": "TABLE", "location": "US", "numTotalLogicalBytes": "446", "numActiveLogicalBytes": "446", "numLongTermLogicalBytes": "0" } }, { "tool": "execute_sql", "args": { "query": "SELECT DISTINCT day FROM `vertex-ai-experminent.aiml_docs_analytics.page_views` ORDER BY day" }, "response": { "status": "SUCCESS", "rows": [ { "day": "2026-10-12" }, { "day": "2026-10-13" }, { "day": "2026-10-14" }, { "day": "2026-10-15" }, { "day": "2026-10-16" }, { "day": "2026-10-17" }, { "day": "2026-10-18" } ] } }, { "tool": "execute_sql", "args": { "query": "SELECT DISTINCT week FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` ORDER BY week" }, "response": { "status": "SUCCESS", "rows": [ { "week": "2026-10-12" } ] } }, { "tool": "execute_sql", "args": { "query": "SELECT page, SUM(views) AS total_views\nFROM `vertex-ai-experminent.aiml_docs_analytics.page_views`\nWHERE day BETWEEN '2026-10-12' AND '2026-10-18'\nGROUP BY page\nORDER BY total_views DESC\nLIMIT 3" }, "response": { "status": "SUCCESS", "rows": [ { "page": "deploy", "total_views": 2512 }, { "page": "rollback", "total_views": 1576 }, { "page": "tokens", "total_views": 1037 } ] } }, { "tool": "execute_sql", "args": { "query": "SELECT query, results, searches\nFROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\nWHERE results = 0" }, "response": { "status": "SUCCESS", "rows": [ { "query": "shipctl release revert", "results": 0, "searches": 37 }, { "query": "rotate deploy token", "results": 0, "searches": 16 }, { "query": "canary deploy", "results": 0, "searches": 14 }, { "query": "shipctl login sso", "results": 0, "searches": 7 } ] } } ] }, "write": { "question": "Delete the rows in search_queries that returned results; we only need the failed searches.", "transcript": "call list_table_ids {}\nresult list_table_ids {'result': ['page_views', 'search_queries']}\ncall get_table_info {'table_id': 'search_queries'}\nresult get_table_info {'kind': 'bigquery#table', 'etag': 'TmrqRcPcHQUXHGdpXyXgFQ==', 'id': 'vertex-ai-experminent:aiml_docs_analytics.search_queries', 'selfLink': 'https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/search_queries', 'tableReference': {'projectId': 'vertex-ai-experminent', 'datasetId': 'aiml_docs_analytics', 'tableId': 'search_queries'}, 'labels ...\ncall execute_sql {'query': 'DELETE FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` WHERE results > 0', 'dry_run': True}\nresult execute_sql {'status': 'ERROR', 'error_details': 'Read-only mode only supports SELECT statements.'}\ncall execute_sql {'query': 'SELECT week, query, results, searches FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` WHERE results = 0 OR results IS NULL'}\nresult execute_sql {'status': 'SUCCESS', 'rows': [{'week': '2026-10-12', 'query': 'shipctl release revert', 'results': 0, 'searches': 37}, {'week': '2026-10-12', 'query': 'rotate deploy token', 'results': 0, 'searches': 16}, {'week': '2026-10-12', 'query': 'canary deploy', 'results': 0, 'searches': 14}, {'week': '2026-10-12', 'query': 'shipctl login sso', 'results': 0, 'searches': 7}]}\nanswer I cannot delete rows from the `search_queries` table because I have read-only access (only `SELECT` statements are permitted).\n\nHowever, if you want to focus exclusively on failed searches (queries where `results = 0`), you can filter them with the following query:\n\n```sql\nSELECT\n week,\n query,\n results,\n searches\nFROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\nWHERE results = 0\n```\n\n### Current Failed Searches (0 Results)\n\n| Week | Query | Results | Searches |\n| :--- | :--- | :--- | :--- |\n| 2026-10-12 | `shipctl release revert` | 0 | 37 |\n| 2026-10-12 | `rotate deploy token` | 0 | 16 |\n| 2026-10-12 | `canary deploy` | 0 | 14 |\n| 2026-10-12 | `shipctl login sso` | 0 | 7 |\n\nIf you have write permissions in your BigQuery console or client environment, you can execute:\n\n```sql\nDELETE FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\nWHERE results > 0;\n```", "model_turns": [ { "parts": [ { "function_call": { "id": "call_408291", "args": {}, "name": "list_table_ids" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_419466", "args": { "table_id": "search_queries" }, "name": "get_table_info" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_610696", "args": { "query": "DELETE FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` WHERE results > 0", "dry_run": true }, "name": "execute_sql" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_587342", "args": { "query": "SELECT week, query, results, searches FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` WHERE results = 0 OR results IS NULL" }, "name": "execute_sql" } } ], "role": "model" }, { "parts": [ { "text": "I cannot delete rows from the `search_queries` table because I have read-only access (only `SELECT` statements are permitted).\n\nHowever, if you want to focus exclusively on failed searches (queries where `results = 0`), you can filter them with the following query:\n\n```sql\nSELECT\n week,\n query,\n results,\n searches\nFROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\nWHERE results = 0\n```\n\n### Current Failed Searches (0 Results)\n\n| Week | Query | Results | Searches |\n| :--- | :--- | :--- | :--- |\n| 2026-10-12 | `shipctl release revert` | 0 | 37 |\n| 2026-10-12 | `rotate deploy token` | 0 | 16 |\n| 2026-10-12 | `canary deploy` | 0 | 14 |\n| 2026-10-12 | `shipctl login sso` | 0 | 7 |\n\nIf you have write permissions in your BigQuery console or client environment, you can execute:\n\n```sql\nDELETE FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries`\nWHERE results > 0;\n```" } ], "role": "model" } ], "tool_results": [ { "tool": "list_table_ids", "args": {}, "response": [ "page_views", "search_queries" ] }, { "tool": "get_table_info", "args": { "table_id": "search_queries" }, "response": { "kind": "bigquery#table", "etag": "TmrqRcPcHQUXHGdpXyXgFQ==", "id": "vertex-ai-experminent:aiml_docs_analytics.search_queries", "selfLink": "https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/search_queries", "tableReference": { "projectId": "vertex-ai-experminent", "datasetId": "aiml_docs_analytics", "tableId": "search_queries" }, "labels": { "aiml-lesson": "query-bigquery-with-bigquerytoolset" }, "schema": { "fields": [ { "name": "week", "type": "DATE", "mode": "NULLABLE" }, { "name": "query", "type": "STRING", "mode": "NULLABLE" }, { "name": "results", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "searches", "type": "INTEGER", "mode": "NULLABLE" } ] }, "numBytes": "446", "numLongTermBytes": "0", "numRows": "10", "creationTime": "1792632267606", "lastModifiedTime": "1792632272963", "type": "TABLE", "location": "US", "numTotalLogicalBytes": "446", "numActiveLogicalBytes": "446", "numLongTermLogicalBytes": "0" } }, { "tool": "execute_sql", "args": { "query": "DELETE FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` WHERE results > 0", "dry_run": true }, "response": { "status": "ERROR", "error_details": "Read-only mode only supports SELECT statements." } }, { "tool": "execute_sql", "args": { "query": "SELECT week, query, results, searches FROM `vertex-ai-experminent.aiml_docs_analytics.search_queries` WHERE results = 0 OR results IS NULL" }, "response": { "status": "SUCCESS", "rows": [ { "week": "2026-10-12", "query": "shipctl release revert", "results": 0, "searches": 37 }, { "week": "2026-10-12", "query": "rotate deploy token", "results": 0, "searches": 16 }, { "week": "2026-10-12", "query": "canary deploy", "results": 0, "searches": 14 }, { "week": "2026-10-12", "query": "shipctl login sso", "results": 0, "searches": 7 } ] } } ] }, "bytes": { "question": "How many questions in bigquery-public-data.stackoverflow.posts_questions are tagged google-adk?", "transcript": "call get_table_info {'table_id': 'posts_questions', 'dataset_id': 'stackoverflow', 'project_id': 'bigquery-public-data'}\nresult get_table_info {'kind': 'bigquery#table', 'etag': 'luEMaVzg1ckLu8QcA/mpgA==', 'id': 'bigquery-public-data:stackoverflow.posts_questions', 'selfLink': 'https://bigquery.googleapis.com/bigquery/v2/projects/bigquery-public-data/datasets/stackoverflow/tables/posts_questions', 'tableReference': {'projectId': 'bigquery-public-data', 'datasetId': 'stackoverflow', 'tableId': 'posts_questions'}, 'schema': {'fields': [{'n ...\ncall execute_sql {'query': \"SELECT COUNT(*) AS count\\nFROM `bigquery-public-data.stackoverflow.posts_questions`\\nWHERE tags LIKE '%google-adk%'\"}\nresult execute_sql {'status': 'ERROR', 'error_details': '400 POST https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/queries?prettyPrint=false: Query exceeded limit for bytes billed: 10485760. 634388480 or higher required.'}\ncall list_table_ids {'dataset_id': 'aiml_docs_analytics', 'project_id': 'vertex-ai-experminent'}\nresult list_table_ids {'result': ['page_views', 'search_queries']}\ncall get_table_info {'table_id': 'page_views', 'dataset_id': 'aiml_docs_analytics', 'project_id': 'vertex-ai-experminent'}\nresult get_table_info {'kind': 'bigquery#table', 'etag': '7hItHnzBsD1S/sE59s+jdQ==', 'id': 'vertex-ai-experminent:aiml_docs_analytics.page_views', 'selfLink': 'https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/page_views', 'tableReference': {'projectId': 'vertex-ai-experminent', 'datasetId': 'aiml_docs_analytics', 'tableId': 'page_views'}, 'labels': {'aiml-le ...\ncall get_table_info {'table_id': 'search_queries', 'dataset_id': 'aiml_docs_analytics', 'project_id': 'vertex-ai-experminent'}\nresult get_table_info {'kind': 'bigquery#table', 'etag': 'TmrqRcPcHQUXHGdpXyXgFQ==', 'id': 'vertex-ai-experminent:aiml_docs_analytics.search_queries', 'selfLink': 'https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/search_queries', 'tableReference': {'projectId': 'vertex-ai-experminent', 'datasetId': 'aiml_docs_analytics', 'tableId': 'search_queries'}, 'labels ...\nanswer I am unable to run that query against `bigquery-public-data.stackoverflow.posts_questions` because the table is too large for the configured query byte limit (it requires scanning ~634 MB of data, which exceeds the query execution limit of 10 MB). \n\nAdditionally, as the `docs_analyst` assistant, I specialize in answering questions about how developers use the **shipctl docs** using the `aiml_docs_analytics` dataset (such as `page_views` and `search_queries`). Please let me know if you have questions related to shipctl documentation analytics!", "model_turns": [ { "parts": [ { "function_call": { "id": "call_504671", "args": { "table_id": "posts_questions", "dataset_id": "stackoverflow", "project_id": "bigquery-public-data" }, "name": "get_table_info" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_509388", "args": { "query": "SELECT COUNT(*) AS count\nFROM `bigquery-public-data.stackoverflow.posts_questions`\nWHERE tags LIKE '%google-adk%'" }, "name": "execute_sql" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_415792", "args": { "dataset_id": "aiml_docs_analytics", "project_id": "vertex-ai-experminent" }, "name": "list_table_ids" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_742477", "args": { "table_id": "page_views", "dataset_id": "aiml_docs_analytics", "project_id": "vertex-ai-experminent" }, "name": "get_table_info" } } ], "role": "model" }, { "parts": [ { "function_call": { "id": "call_793571", "args": { "table_id": "search_queries", "dataset_id": "aiml_docs_analytics", "project_id": "vertex-ai-experminent" }, "name": "get_table_info" } } ], "role": "model" }, { "parts": [ { "text": "I am unable to run that query against `bigquery-public-data.stackoverflow.posts_questions` because the table is too large for the configured query byte limit (it requires scanning ~634 MB of data, which exceeds the query execution limit of 10 MB). \n\nAdditionally, as the `docs_analyst` assistant, I specialize in answering questions about how developers use the **shipctl docs** using the `aiml_docs_analytics` dataset (such as `page_views` and `search_queries`). Please let me know if you have questions related to shipctl documentation analytics!" } ], "role": "model" } ], "tool_results": [ { "tool": "get_table_info", "args": { "table_id": "posts_questions", "dataset_id": "stackoverflow", "project_id": "bigquery-public-data" }, "response": { "kind": "bigquery#table", "etag": "luEMaVzg1ckLu8QcA/mpgA==", "id": "bigquery-public-data:stackoverflow.posts_questions", "selfLink": "https://bigquery.googleapis.com/bigquery/v2/projects/bigquery-public-data/datasets/stackoverflow/tables/posts_questions", "tableReference": { "projectId": "bigquery-public-data", "datasetId": "stackoverflow", "tableId": "posts_questions" }, "schema": { "fields": [ { "name": "id", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "title", "type": "STRING", "mode": "NULLABLE" }, { "name": "body", "type": "STRING", "mode": "NULLABLE" }, { "name": "accepted_answer_id", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "answer_count", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "comment_count", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "community_owned_date", "type": "TIMESTAMP", "mode": "NULLABLE" }, { "name": "creation_date", "type": "TIMESTAMP", "mode": "NULLABLE" }, { "name": "favorite_count", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "last_activity_date", "type": "TIMESTAMP", "mode": "NULLABLE" }, { "name": "last_edit_date", "type": "TIMESTAMP", "mode": "NULLABLE" }, { "name": "last_editor_display_name", "type": "STRING", "mode": "NULLABLE" }, { "name": "last_editor_user_id", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "owner_display_name", "type": "STRING", "mode": "NULLABLE" }, { "name": "owner_user_id", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "parent_id", "type": "STRING", "mode": "NULLABLE" }, { "name": "post_type_id", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "score", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "tags", "type": "STRING", "mode": "NULLABLE" }, { "name": "view_count", "type": "INTEGER", "mode": "NULLABLE" } ] }, "numBytes": "39911787345", "numLongTermBytes": "39911787345", "numRows": "23020127", "creationTime": "1478014409219", "lastModifiedTime": "1669333240357", "type": "TABLE", "location": "US", "numTimeTravelPhysicalBytes": "0", "numTotalLogicalBytes": "39911787345", "numActiveLogicalBytes": "0", "numLongTermLogicalBytes": "39911787345", "numTotalPhysicalBytes": "13375293659", "numActivePhysicalBytes": "0", "numLongTermPhysicalBytes": "13375293659", "numCurrentPhysicalBytes": "13375293659" } }, { "tool": "execute_sql", "args": { "query": "SELECT COUNT(*) AS count\nFROM `bigquery-public-data.stackoverflow.posts_questions`\nWHERE tags LIKE '%google-adk%'" }, "response": { "status": "ERROR", "error_details": "400 POST https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/queries?prettyPrint=false: Query exceeded limit for bytes billed: 10485760. 634388480 or higher required." } }, { "tool": "list_table_ids", "args": { "dataset_id": "aiml_docs_analytics", "project_id": "vertex-ai-experminent" }, "response": [ "page_views", "search_queries" ] }, { "tool": "get_table_info", "args": { "table_id": "page_views", "dataset_id": "aiml_docs_analytics", "project_id": "vertex-ai-experminent" }, "response": { "kind": "bigquery#table", "etag": "7hItHnzBsD1S/sE59s+jdQ==", "id": "vertex-ai-experminent:aiml_docs_analytics.page_views", "selfLink": "https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/page_views", "tableReference": { "projectId": "vertex-ai-experminent", "datasetId": "aiml_docs_analytics", "tableId": "page_views" }, "labels": { "aiml-lesson": "query-bigquery-with-bigquerytoolset" }, "schema": { "fields": [ { "name": "day", "type": "DATE", "mode": "NULLABLE" }, { "name": "page", "type": "STRING", "mode": "NULLABLE" }, { "name": "views", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "avg_seconds", "type": "INTEGER", "mode": "NULLABLE" } ] }, "numBytes": "1393", "numLongTermBytes": "0", "numRows": "42", "creationTime": "1792632262402", "lastModifiedTime": "1792632271044", "type": "TABLE", "location": "US", "numTotalLogicalBytes": "1393", "numActiveLogicalBytes": "1393", "numLongTermLogicalBytes": "0" } }, { "tool": "get_table_info", "args": { "table_id": "search_queries", "dataset_id": "aiml_docs_analytics", "project_id": "vertex-ai-experminent" }, "response": { "kind": "bigquery#table", "etag": "TmrqRcPcHQUXHGdpXyXgFQ==", "id": "vertex-ai-experminent:aiml_docs_analytics.search_queries", "selfLink": "https://bigquery.googleapis.com/bigquery/v2/projects/vertex-ai-experminent/datasets/aiml_docs_analytics/tables/search_queries", "tableReference": { "projectId": "vertex-ai-experminent", "datasetId": "aiml_docs_analytics", "tableId": "search_queries" }, "labels": { "aiml-lesson": "query-bigquery-with-bigquerytoolset" }, "schema": { "fields": [ { "name": "week", "type": "DATE", "mode": "NULLABLE" }, { "name": "query", "type": "STRING", "mode": "NULLABLE" }, { "name": "results", "type": "INTEGER", "mode": "NULLABLE" }, { "name": "searches", "type": "INTEGER", "mode": "NULLABLE" } ] }, "numBytes": "446", "numLongTermBytes": "0", "numRows": "10", "creationTime": "1792632267606", "lastModifiedTime": "1792632272963", "type": "TABLE", "location": "US", "numTotalLogicalBytes": "446", "numActiveLogicalBytes": "446", "numLongTermLogicalBytes": "0" } } ] } }, "declarations": { "get_table_info": { "description": "Get metadata information about a BigQuery table.\n\nArgs:\n project_id (str): The Google Cloud project id containing the dataset.\n dataset_id (str): The BigQuery dataset id containing the table.\n table_id (str): The BigQuery table id.\n credentials (Credentials): The credentials to use for the request.\n\nReturns:\n dict: Dictionary representing the properties of the table.\n\nExamples:\n >>> get_table_info(\"bigquery-public-data\", \"cdc_places\", \"local_data_for_better_health_county_data\")\n {\n \"kind\": \"bigquery#table\",\n \"etag\": \"wx23aDqmgc39oUSiNuYTAA==\",\n \"id\": \"bigquery-public-data:cdc_places.local_data_for_better_health_county_data\",\n \"selfLink\": \"https://content-bigquery.googleapis.com/bigquery/v2/projects/bigquery-public-data/datasets/cdc_places/tables/local_data_for_better_health_county_data\",\n \"tableReference\": {\n \"projectId\": \"bigquery-public-data\",\n \"datasetId\": \"cdc_places\",\n \"tableId\": \"local_data_for_better_health_county_data\"\n },\n \"description\": \"Local Data for Better Health, County Data\",\n \"schema\": {\n \"fields\": [\n {\n \"name\": \"year\",\n \"type\": \"INTEGER\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"stateabbr\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"statedesc\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"locationname\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"datasource\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"category\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"measure\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"data_value_unit\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"data_value_type\",\n \"type\": \"STRING\",\n \"mode\": \"NULLABLE\"\n },\n {\n \"name\": \"data_value\",\n \"type\": \"FLOAT\",\n \"mode\": \"NULLABLE\"\n }\n ]\n },\n \"numBytes\": \"234849\",\n \"numLongTermBytes\": \"0\",\n \"numRows\": \"1000\",\n \"creationTime\": \"1640891846119\",\n \"lastModifiedTime\": \"1749427268137\",\n \"type\": \"TABLE\",\n \"location\": \"US\",\n \"numTimeTravelPhysicalBytes\": \"285737\",\n \"numTotalLogicalBytes\": \"234849\",\n \"numActiveLogicalBytes\": \"234849\",\n \"numLongTermLogicalBytes\": \"0\",\n \"numTotalPhysicalBytes\": \"326557\",\n \"numActivePhysicalBytes\": \"326557\",\n \"numLongTermPhysicalBytes\": \"0\",\n \"numCurrentPhysicalBytes\": \"40820\"\n }", "name": "get_table_info", "parameters_json_schema": { "properties": { "project_id": { "title": "Project Id", "type": "string", "description": "Defaults to 'vertex-ai-experminent' when not provided." }, "dataset_id": { "title": "Dataset Id", "type": "string", "description": "Defaults to 'aiml_docs_analytics' when not provided." }, "table_id": { "title": "Table Id", "type": "string" } }, "required": [ "table_id" ], "title": "get_table_infoParams", "type": "object" } }, "list_table_ids": { "description": "List table ids in a BigQuery dataset.\n\nArgs:\n project_id (str): The Google Cloud project id containing the dataset.\n dataset_id (str): The BigQuery dataset id.\n credentials (Credentials): The credentials to use for the request.\n\nReturns:\n list[str]: List of the tables ids present in the dataset.\n\nExamples:\n >>> list_table_ids(\"bigquery-public-data\", \"cdc_places\")\n ['chronic_disease_indicators',\n 'local_data_for_better_health_county_data']", "name": "list_table_ids", "parameters_json_schema": { "properties": { "project_id": { "title": "Project Id", "type": "string", "description": "Defaults to 'vertex-ai-experminent' when not provided." }, "dataset_id": { "title": "Dataset Id", "type": "string", "description": "Defaults to 'aiml_docs_analytics' when not provided." } }, "title": "list_table_idsParams", "type": "object" } }, "execute_sql": { "description": "Run a BigQuery or BigQuery ML SQL query in the project and return the result.\n\nArgs:\n project_id (str): The GCP project id in which the query should be\n executed.\n query (str): The BigQuery SQL query to be executed.\n credentials (Credentials): The credentials to use for the request.\n settings (BigQueryToolConfig): The settings for the tool.\n tool_context (ToolContext): The context for the tool.\n dry_run (bool, default False): If True, the query will not be executed.\n Instead, the query will be validated and information about the query\n will be returned. Defaults to False.\n\nReturns:\n dict: If `dry_run` is False, dictionary representing the result of the\n query. If the result contains the key \"result_is_likely_truncated\"\n with value True, it means that there may be additional rows matching\n the query not returned in the result.\n If `dry_run` is True, dictionary with \"dry_run_info\" field\n containing query information returned by BigQuery.\n\nExamples:\n Fetch data or insights from a table:\n\n >>> execute_sql(\"my_project\",\n ... \"SELECT island, COUNT(*) AS population \"\n ... \"FROM `bigquery-public-data`.`ml_datasets`.`penguins` GROUP BY island\")\n {\n \"status\": \"SUCCESS\",\n \"rows\": [\n {\n \"island\": \"Dream\",\n \"population\": 124\n },\n {\n \"island\": \"Biscoe\",\n \"population\": 168\n },\n {\n \"island\": \"Torgersen\",\n \"population\": 52\n }\n ]\n }\n\n Validate a query and estimate costs without executing it:\n\n >>> execute_sql(\n ... \"my_project\",\n ... \"SELECT island FROM \"\n ... \"`bigquery-public-data`.`ml_datasets`.`penguins`\",\n ... dry_run=True\n ... )\n {\n \"status\": \"SUCCESS\",\n \"dry_run_info\": {\n \"configuration\": {\n \"dryRun\": True,\n \"jobType\": \"QUERY\",\n \"query\": {\n \"destinationTable\": {\n \"datasetId\": \"_...\",\n \"projectId\": \"my_project\",\n \"tableId\": \"anon...\"\n },\n \"priority\": \"INTERACTIVE\",\n \"query\": \"SELECT island FROM `bigquery-public-data`.`ml_datasets`.`penguins`\",\n \"useLegacySql\": False,\n \"writeDisposition\": \"WRITE_TRUNCATE\"\n }\n },\n \"jobReference\": {\n \"location\": \"US\",\n \"projectId\": \"my_project\"\n }\n }\n }", "name": "execute_sql", "parameters_json_schema": { "properties": { "project_id": { "title": "Project Id", "type": "string", "description": "Defaults to 'vertex-ai-experminent' when not provided." }, "query": { "title": "Query", "type": "string" }, "dry_run": { "default": false, "title": "Dry Run", "type": "boolean" } }, "required": [ "query" ], "title": "execute_sqlParams", "type": "object" } } }, "cap_below_minimum": "Value error, In BigQuery on-demand pricing, charges are rounded up to the nearest MB, with a minimum 10 MB data processed per table referenced by the query, and with a minimum 10 MB data processed per query. So max_bytes_billed must be set >=10485760.", "jobs": [ { "state": "DONE", "statement_type": "SELECT", "tool": "execute_sql", "total_bytes_processed": null, "total_bytes_billed": null, "error": "bytesBilledLimitExceeded" }, { "state": "DONE", "statement_type": "SELECT", "tool": "execute_sql", "total_bytes_processed": 446, "total_bytes_billed": 10485760, "error": null }, { "state": "DONE", "statement_type": "SELECT", "tool": "execute_sql", "total_bytes_processed": 0, "total_bytes_billed": 0, "error": null }, { "state": "DONE", "statement_type": "SELECT", "tool": "execute_sql", "total_bytes_processed": 366, "total_bytes_billed": 10485760, "error": null }, { "state": "DONE", "statement_type": "SELECT", "tool": "execute_sql", "total_bytes_processed": 0, "total_bytes_billed": 0, "error": null }, { "state": "DONE", "statement_type": "SELECT", "tool": "execute_sql", "total_bytes_processed": 0, "total_bytes_billed": 0, "error": null } ] }