BigQuery 服務
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
您可以在 Apps Script 中使用 Google BigQuery API。這個 API 可讓使用者管理 BigQuery 專案、上傳新資料及執行查詢。
參考資料
如要進一步瞭解這項服務,請參閱 BigQuery API 的參考說明文件。與 Apps Script 中的所有進階服務一樣,BigQuery 服務使用的物件、方法和參數都與公開 API 相同。詳情請參閱「如何判斷方法簽章」。
如要回報問題及尋求其他支援,請參閱 Google Cloud 支援指南。
程式碼範例
下列程式碼範例使用 API 的第 2 版。
執行查詢
這項範例會查詢每日 Google 熱門搜尋字詞清單。
載入 CSV 資料
這個範例會建立新資料表,並將 Google 雲端硬碟中的 CSV 檔案載入其中。
除非另有註明,否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權,程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間:2025-08-31 (世界標準時間)。
[null,null,["上次更新時間:2025-08-31 (世界標準時間)。"],[[["\u003cp\u003eThe BigQuery service in Apps Script enables management of BigQuery projects, data uploads, and query execution using the Google BigQuery API.\u003c/p\u003e\n"],["\u003cp\u003eThis advanced service requires prior enabling before use and leverages the same structure as the public API.\u003c/p\u003e\n"],["\u003cp\u003eSample code is provided demonstrating how to run a query to retrieve Google Search terms and load CSV data into BigQuery.\u003c/p\u003e\n"],["\u003cp\u003eUsers can consult the Google Cloud support guide for troubleshooting and support related to the BigQuery service.\u003c/p\u003e\n"]]],[],null,["# BigQuery Service\n\nThe BigQuery service allows you to use the\n[Google BigQuery API](/bigquery/docs/developers_guide) in Apps Script. This API\ngives users the ability to manage their BigQuery projects, upload new data,\nand execute queries.\n| **Note:** This is an advanced service that must be [enabled before use](/apps-script/guides/services/advanced).\n\nReference\n---------\n\nFor detailed information on this service, see the\n[reference documentation](/bigquery/docs/reference/v2) for the BigQuery API.\nLike all advanced services in Apps Script, the BigQuery service uses the same\nobjects, methods, and parameters as the public API. For more information, see [How method signatures are determined](/apps-script/guides/services/advanced#how_method_signatures_are_determined).\n\nTo report issues and find other support, see the\n[Google Cloud support guide](https://cloud.google.com/support/).\n\nSample code\n-----------\n\nThe sample code below uses [version 2](/bigquery/docs/reference/v2) of the API.\n\n### Run query\n\nThis sample queries a list of the daily top Google Search terms. \nadvanced/bigquery.gs \n[View on GitHub](https://github.com/googleworkspace/apps-script-samples/blob/main/advanced/bigquery.gs) \n\n```javascript\n/**\n * Runs a BigQuery query and logs the results in a spreadsheet.\n */\nfunction runQuery() {\n // Replace this value with the project ID listed in the Google\n // Cloud Platform project.\n const projectId = 'XXXXXXXX';\n\n const request = {\n // TODO (developer) - Replace query with yours\n query: 'SELECT refresh_date AS Day, term AS Top_Term, rank ' +\n 'FROM `bigquery-public-data.google_trends.top_terms` ' +\n 'WHERE rank = 1 ' +\n 'AND refresh_date \u003e= DATE_SUB(CURRENT_DATE(), INTERVAL 2 WEEK) ' +\n 'GROUP BY Day, Top_Term, rank ' +\n 'ORDER BY Day DESC;',\n useLegacySql: false\n };\n let queryResults = BigQuery.Jobs.query(request, projectId);\n const jobId = queryResults.jobReference.jobId;\n\n // Check on status of the Query Job.\n let sleepTimeMs = 500;\n while (!queryResults.jobComplete) {\n Utilities.sleep(sleepTimeMs);\n sleepTimeMs *= 2;\n queryResults = BigQuery.Jobs.getQueryResults(projectId, jobId);\n }\n\n // Get all the rows of results.\n let rows = queryResults.rows;\n while (queryResults.pageToken) {\n queryResults = BigQuery.Jobs.getQueryResults(projectId, jobId, {\n pageToken: queryResults.pageToken\n });\n rows = rows.concat(queryResults.rows);\n }\n\n if (!rows) {\n console.log('No rows returned.');\n return;\n }\n const spreadsheet = SpreadsheetApp.create('BigQuery Results');\n const sheet = spreadsheet.getActiveSheet();\n\n // Append the headers.\n const headers = queryResults.schema.fields.map(function(field) {\n return field.name;\n });\n sheet.appendRow(headers);\n\n // Append the results.\n const data = new Array(rows.length);\n for (let i = 0; i \u003c rows.length; i++) {\n const cols = rows[i].f;\n data[i] = new Array(cols.length);\n for (let j = 0; j \u003c cols.length; j++) {\n data[i][j] = cols[j].v;\n }\n }\n sheet.getRange(2, 1, rows.length, headers.length).setValues(data);\n\n console.log('Results spreadsheet created: %s', spreadsheet.getUrl());\n}\n```\n\n### Load CSV data\n\nThis sample creates a new table and loads a CSV file from Google Drive into it. \nadvanced/bigquery.gs \n[View on GitHub](https://github.com/googleworkspace/apps-script-samples/blob/main/advanced/bigquery.gs) \n\n```javascript\n/**\n * Loads a CSV into BigQuery\n */\nfunction loadCsv() {\n // Replace this value with the project ID listed in the Google\n // Cloud Platform project.\n const projectId = 'XXXXXXXX';\n // Create a dataset in the BigQuery UI (https://bigquery.cloud.google.com)\n // and enter its ID below.\n const datasetId = 'YYYYYYYY';\n // Sample CSV file of Google Trends data conforming to the schema below.\n // https://docs.google.com/file/d/0BwzA1Orbvy5WMXFLaTR1Z1p2UDg/edit\n const csvFileId = '0BwzA1Orbvy5WMXFLaTR1Z1p2UDg';\n\n // Create the table.\n const tableId = 'pets_' + new Date().getTime();\n let table = {\n tableReference: {\n projectId: projectId,\n datasetId: datasetId,\n tableId: tableId\n },\n schema: {\n fields: [\n {name: 'week', type: 'STRING'},\n {name: 'cat', type: 'INTEGER'},\n {name: 'dog', type: 'INTEGER'},\n {name: 'bird', type: 'INTEGER'}\n ]\n }\n };\n try {\n table = BigQuery.Tables.insert(table, projectId, datasetId);\n console.log('Table created: %s', table.id);\n } catch (err) {\n console.log('unable to create table');\n }\n // Load CSV data from Drive and convert to the correct format for upload.\n const file = DriveApp.getFileById(csvFileId);\n const data = file.getBlob().setContentType('application/octet-stream');\n\n // Create the data upload job.\n const job = {\n configuration: {\n load: {\n destinationTable: {\n projectId: projectId,\n datasetId: datasetId,\n tableId: tableId\n },\n skipLeadingRows: 1\n }\n }\n };\n try {\n const jobResult = BigQuery.Jobs.insert(job, projectId, data);\n console.log(`Load job started. Status: ${jobResult.status.state}`);\n } catch (err) {\n console.log('unable to insert job');\n }\n}\n```"]]