Node.js:SQL Server - mssql 連線
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示範如何使用 Node.js mssql 模組開啟及關閉與 SQL Server 適用的 Cloud SQL 的連線,藉此執行 SQL INSERT 陳述式。
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[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[],null,["# Node.js: SQL Server - mssql connection\n\nDemonstrates executing a SQL INSERT statement by opening and closing a connection to Cloud SQL for SQL Server using the Node.js mssql module.\n\nExplore further\n---------------\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Manage database connections](/sql/docs/sqlserver/manage-connections)\n\nCode sample\n-----------\n\n### Node.js\n\n\nTo authenticate to Cloud SQL for SQL Server, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n try {\n const stmt =\n 'INSERT INTO votes (time_cast, candidate) VALUES (@timestamp, @team)';\n // Using a prepared statement protects against SQL injection attacks.\n // When prepare is called, a single connection is acquired from the connection pool\n // and all subsequent executions are executed exclusively on this connection.\n const ps = new mssql.PreparedStatement(pool);\n ps.input('timestamp', mssql.DateTime);\n ps.input('team', mssql.VarChar(6));\n await ps.prepare(stmt);\n await ps.execute({\n timestamp: timestamp,\n team: team,\n });\n await ps.unprepare();\n } catch (err) {\n // If something goes wrong, handle the error in this section. This might\n // involve retrying or adjusting parameters depending on the situation.\n // ...\n }\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=cloud_sql_sqlserver)."]]