非同步程式設計

發行項
08/28/2024

本文將討論 .NET Framework Data Provider for SQL Server (SqlClient) 中非同步程式設計所適用的支援，包括用來支援 .NET Framework 4.5 所導入之非同步程式設計功能的增強功能。

舊版非同步程式設計

在 .NET Framework 4.5 之前，是使用下列方法和 Asynchronous Processing=true 連接屬性完成 SqlClient 非同步程式設計：

在 .NET Framework 4.5 中，這項功能仍舊位於 SqlClient 中。

提示

從 .NET Framework 4.5 開始，這些舊版方法不再需要連接字串的 Asynchronous Processing=true。

在 .NET Framework 4.5 中新增的非同步程式設計功能

非同步程式設計功能提供了一些簡單的技巧，可以使程式碼非同步。深入了解 .NET Framework 4.5 介紹的非同步程式設計功能，請參閱：

當您的使用者介面沒有回應或不能擴充伺服器時，您可能就需要使程式碼更加非同步。傳統的非同步程式碼編寫涉及安裝回呼 (也稱為接續)，以表示非同步作業完成後發生的邏輯。這會使非同步程式碼的結構比同步程式碼更複雜。

您現在不需使用回呼即可呼叫非同步方法內部，並且不需跨多個方法或 Lambda 運算式分割程式碼。

async 修飾詞，指定方法為非同步方法。呼叫 async 方法時會傳回工作。當 await 運算子套用至工作時，目前的方法會立即結束。當工作完成時，會以相同的方法繼續執行。

警告

如果應用程式也使用 Context Connection 連接字串關鍵字，則不支援非同步呼叫。

呼叫 async 方法不會配置任何額外的執行緒。它可能會在結尾處簡短地使用現有的 I/O 完成執行緒。

在 .NET Framework 4.5 新增下列方法以支援非同步程式設計：

已加入其他非同步成員，以支援 SqlClient 串流支援。

提示

較新的非同步方法不需要連接字串中的 Asynchronous Processing=true。

同步至非同步連接開啟

您可以升級舊款應用程式以使用較新的非同步功能。例如，假設應用程式具有同步連接演算法，並且會在每次連接至資料庫時封鎖 UI 執行緒，則一旦連接後，該應用程式就會呼叫預存程序，提示其他使用者方才有使用者登入。

using SqlConnection conn = new SqlConnection("...");
{
   conn.Open();
   using (SqlCommand cmd = new SqlCommand("StoredProcedure_Logon", conn))
   {
      cmd.ExecuteNonQuery();
   }
}

將程式轉換為使用較新的非同步功能時，其看起來應類似：

using System;
using System.Data.SqlClient;
using System.Threading.Tasks;

class A {

   static async Task<int> Method(SqlConnection conn, SqlCommand cmd) {
      await conn.OpenAsync();
      await cmd.ExecuteNonQueryAsync();
      return 1;
   }

   public static void Main() {
      using (SqlConnection conn = new SqlConnection("...")) {
         SqlCommand command = new SqlCommand("select top 2 * from orders", conn);

         int result = A.Method(conn, command).Result;

         SqlDataReader reader = command.ExecuteReader();
         while (reader.Read())
            Console.WriteLine(reader[0]);
      }
   }
}

在現有的應用程式中新增新的非同步功能 (混用新舊模式)

您也可以在不變更現有非同步邏輯的情況下，新增非同步功能 (SqlConnection::OpenAsync)。例如，如果應用程式目前使用：

AsyncCallback productList = new AsyncCallback(ProductList);
SqlConnection conn = new SqlConnection("...");
conn.Open();
SqlCommand cmd = new SqlCommand("SELECT * FROM [Current Product List]", conn);
IAsyncResult ia = cmd.BeginExecuteReader(productList, cmd);

您可以開始使用新的非同步模式，而不需大幅變更現有的演算法。

using System;
using System.Data.SqlClient;
using System.Threading.Tasks;

class A {
   static void ProductList(IAsyncResult result) { }

   public static void Main()
   {
      AsyncCallback productList = new AsyncCallback(ProductList);
      SqlConnection conn = new SqlConnection("...");
      conn.OpenAsync().ContinueWith((task) => {
         SqlCommand cmd = new SqlCommand("select top 2 * from orders", conn);
         IAsyncResult ia = cmd.BeginExecuteReader(productList, cmd);
      }, TaskContinuationOptions.OnlyOnRanToCompletion);
   }
}

使用基底提供者模型與新的非同步功能

您可能需要建立能夠連接到不同的資料庫並執行查詢的工具。您可以使用基礎提供者模型和新的非同步功能。

您必須啟用伺服器上的「Microsoft 分散式異動控制器」(MSDTC)，才能使用分散式異動。如需如何啟用 MSDTC 的詳細資訊，請參閱如何在網頁伺服器上啟用 MSDTC。

using System;
using System.Data.Common;
using System.Data.SqlClient;
using System.Threading.Tasks;

class A {
   static async Task PerformDBOperationsUsingProviderModel(string connectionString, string providerName) {
      DbProviderFactory factory = DbProviderFactories.GetFactory(providerName);
      using (DbConnection connection = factory.CreateConnection()) {
         connection.ConnectionString = connectionString;
         await connection.OpenAsync();

         DbCommand command = connection.CreateCommand();
         command.CommandText = "SELECT * FROM AUTHORS";

         using (DbDataReader reader = await command.ExecuteReaderAsync()) {
            while (await reader.ReadAsync()) {
               for (int i = 0; i < reader.FieldCount; i++) {
                  // Process each column as appropriate
                  object obj = await reader.GetFieldValueAsync<object>(i);
                  Console.WriteLine(obj);
               }
            }
         }
      }
   }

   public static void Main()
   {
       SqlConnectionStringBuilder builder = new SqlConnectionStringBuilder();
       // replace these with your own values
       builder.DataSource = "your_server";
       builder.InitialCatalog = "pubs";
       builder.IntegratedSecurity = true;
       string provider = "System.Data.SqlClient";

       Task task = PerformDBOperationsUsingProviderModel(builder.ConnectionString, provider);
       task.Wait();
   }
}

重要

Microsoft建議您使用可用的最安全驗證流程。如果您正在連接 Azure SQL，建議使用的驗證方法為 Azure 資源受控識別。

使用 SQL 交易與新的非同步功能

using System;
using System.Data.SqlClient;
using System.Threading.Tasks;

class Program {
   static void Main() {
      string connectionString = "...";
      Task task = ExecuteSqlTransaction(connectionString);
      task.Wait();
   }

   static async Task ExecuteSqlTransaction(string connectionString) {
      using (SqlConnection connection = new SqlConnection(connectionString)) {
         await connection.OpenAsync();

         SqlCommand command = connection.CreateCommand();
         SqlTransaction transaction = null;

         // Start a local transaction.
         transaction = await Task.Run<SqlTransaction>(
             () => connection.BeginTransaction("SampleTransaction")
             );

         // Must assign both transaction object and connection
         // to Command object for a pending local transaction
         command.Connection = connection;
         command.Transaction = transaction;

         try {
            command.CommandText =
                "Insert into Region (RegionID, RegionDescription) VALUES (555, 'Description')";
            await command.ExecuteNonQueryAsync();

            command.CommandText =
                "Insert into Region (RegionID, RegionDescription) VALUES (556, 'Description')";
            await command.ExecuteNonQueryAsync();

            // Attempt to commit the transaction.
            await Task.Run(() => transaction.Commit());
            Console.WriteLine("Both records are written to database.");
         }
         catch (Exception ex) {
            Console.WriteLine("Commit Exception Type: {0}", ex.GetType());
            Console.WriteLine("  Message: {0}", ex.Message);

            // Attempt to roll back the transaction.
            try {
               transaction.Rollback();
            }
            catch (Exception ex2) {
               // This catch block will handle any errors that may have occurred
               // on the server that would cause the rollback to fail, such as
               // a closed connection.
               Console.WriteLine("Rollback Exception Type: {0}", ex2.GetType());
               Console.WriteLine("  Message: {0}", ex2.Message);
            }
         }
      }
   }
}

使用 SQL 交易與新的非同步功能

在企業應用程式中，您可能需在某些情況下新增分散式異動，以啟用多個資料庫伺服器之間的異動。您可以使用 System.Transactions 命名空間並登記分散式異動，如下所示：

using System;
using System.Data.SqlClient;
using System.Threading.Tasks;
using System.Transactions;

class Program {
   public static void Main()
   {
       SqlConnectionStringBuilder builder = new SqlConnectionStringBuilder();
       // replace these with your own values
       builder.DataSource = "your_server";
       builder.InitialCatalog = "your_data_source";
       builder.IntegratedSecurity = true;

       Task task = ExecuteDistributedTransaction(builder.ConnectionString, builder.ConnectionString);
       task.Wait();
   }

   static async Task ExecuteDistributedTransaction(string connectionString1, string connectionString2) {
      using (SqlConnection connection1 = new SqlConnection(connectionString1))
      using (SqlConnection connection2 = new SqlConnection(connectionString2)) {
         using (CommittableTransaction transaction = new CommittableTransaction()) {
            await connection1.OpenAsync();
            connection1.EnlistTransaction(transaction);

            await connection2.OpenAsync();
            connection2.EnlistTransaction(transaction);

            try {
               SqlCommand command1 = connection1.CreateCommand();
               command1.CommandText = "Insert into RegionTable1 (RegionID, RegionDescription) VALUES (100, 'Description')";
               await command1.ExecuteNonQueryAsync();

               SqlCommand command2 = connection2.CreateCommand();
               command2.CommandText = "Insert into RegionTable2 (RegionID, RegionDescription) VALUES (100, 'Description')";
               await command2.ExecuteNonQueryAsync();

               transaction.Commit();
            }
            catch (Exception ex) {
               Console.WriteLine("Exception Type: {0}", ex.GetType());
               Console.WriteLine("  Message: {0}", ex.Message);

               try {
                  transaction.Rollback();
               }
               catch (Exception ex2) {
                  Console.WriteLine("Rollback Exception Type: {0}", ex2.GetType());
                  Console.WriteLine("  Message: {0}", ex2.Message);
               }
            }
         }
      }
   }
}

重要

Microsoft建議您使用可用的最安全驗證流程。如果您正在連接 Azure SQL，建議使用的驗證方法為 Azure 資源受控識別。

取消非同步作業

您可以使用 CancellationToken 取消非同步要求。

using System;
using System.Data.SqlClient;
using System.Threading;
using System.Threading.Tasks;

namespace Samples {
   class CancellationSample {
      public static void Main(string[] args) {
         CancellationTokenSource source = new CancellationTokenSource();
         source.CancelAfter(2000); // give up after 2 seconds
         try {
            Task result = CancellingAsynchronousOperations(source.Token);
            result.Wait();
         }
         catch (AggregateException exception) {
            if (exception.InnerException is SqlException) {
               Console.WriteLine("Operation canceled");
            }
            else {
               throw;
            }
         }
      }

      static async Task CancellingAsynchronousOperations(CancellationToken cancellationToken) {
         using (SqlConnection connection = new SqlConnection("...")) {
            await connection.OpenAsync(cancellationToken);

            SqlCommand command = new SqlCommand("WAITFOR DELAY '00:10:00'", connection);
            await command.ExecuteNonQueryAsync(cancellationToken);
         }
      }
   }
}

包含 SqlBulkCopy 的非同步作業

使用 System.Data.SqlClient.SqlBulkCopy 的 SqlBulkCopy.WriteToServerAsync 中也新增了非同步功能。

using System;
using System.Collections.Generic;
using System.Data;
using System.Data.Odbc;
using System.Data.SqlClient;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;

namespace SqlBulkCopyAsyncCodeSample {
   class Program {
      static string selectStatement = "SELECT * FROM [pubs].[dbo].[titles]";
      static string createDestTableStatement =
          @"CREATE TABLE {0} (
            [title_id] [varchar](6) NOT NULL,
            [title] [varchar](80) NOT NULL,
            [type] [char](12) NOT NULL,
            [pub_id] [char](4) NULL,
            [price] [money] NULL,
            [advance] [money] NULL,
            [royalty] [int] NULL,
            [ytd_sales] [int] NULL,
            [notes] [varchar](200) NULL,
            [pubdate] [datetime] NOT NULL)";

      static string connectionString = "...";

      static void Main(string[] args) {
         SynchronousSqlBulkCopy();
         AsyncSqlBulkCopy().Wait();
         MixSyncAsyncSqlBulkCopy().Wait();
         AsyncSqlBulkCopyNotifyAfter().Wait();
         AsyncSqlBulkCopyDataRows().Wait();
         AsyncSqlBulkCopyMARS().Wait();
      }

      // 3.1.1 Synchronous bulk copy in .NET Framework 4.5
      private static void SynchronousSqlBulkCopy() {
         using (SqlConnection conn = new SqlConnection(connectionString)) {
            conn.Open();
            DataTable dt = new DataTable();
            using (SqlCommand cmd = new SqlCommand(selectStatement, conn)) {
               SqlDataAdapter adapter = new SqlDataAdapter(cmd);
               adapter.Fill(dt);

               string temptable = "[#" + Guid.NewGuid().ToString("N") + "]";
               cmd.CommandText = string.Format(createDestTableStatement, temptable);
               cmd.ExecuteNonQuery();

               using (SqlBulkCopy bcp = new SqlBulkCopy(conn)) {
                  bcp.DestinationTableName = temptable;
                  bcp.WriteToServer(dt);
               }
            }
         }

      }

      // 3.1.2 Asynchronous bulk copy in .NET Framework 4.5
      private static async Task AsyncSqlBulkCopy() {
         using (SqlConnection conn = new SqlConnection(connectionString)) {
            await conn.OpenAsync();
            DataTable dt = new DataTable();
            using (SqlCommand cmd = new SqlCommand(selectStatement, conn)) {
               SqlDataAdapter adapter = new SqlDataAdapter(cmd);
               adapter.Fill(dt);

               string temptable = "[#" + Guid.NewGuid().ToString("N") + "]";
               cmd.CommandText = string.Format(createDestTableStatement, temptable);
               await cmd.ExecuteNonQueryAsync();

               using (SqlBulkCopy bcp = new SqlBulkCopy(conn)) {
                  bcp.DestinationTableName = temptable;
                  await bcp.WriteToServerAsync(dt);
               }
            }
         }
      }

      // 3.2 Add new Async.NET capabilities in an existing application (Mixing synchronous and asynchronous calls)
      private static async Task MixSyncAsyncSqlBulkCopy() {
         using (OdbcConnection odbcconn = new OdbcConnection(connectionString)) {
            odbcconn.Open();
            using (OdbcCommand odbccmd = new OdbcCommand(selectStatement, odbcconn)) {
               using (OdbcDataReader odbcreader = odbccmd.ExecuteReader()) {
                  using (SqlConnection conn = new SqlConnection(connectionString)) {
                     await conn.OpenAsync();
                     string temptable = "temptable";//"[#" + Guid.NewGuid().ToString("N") + "]";
                     SqlCommand createCmd = new SqlCommand(string.Format(createDestTableStatement, temptable), conn);
                     await createCmd.ExecuteNonQueryAsync();
                     using (SqlBulkCopy bcp = new SqlBulkCopy(conn)) {
                        bcp.DestinationTableName = temptable;
                        await bcp.WriteToServerAsync(odbcreader);
                     }
                  }
               }
            }
         }
      }

      // 3.3 Using the NotifyAfter property
      private static async Task AsyncSqlBulkCopyNotifyAfter() {
         using (SqlConnection conn = new SqlConnection(connectionString)) {
            await conn.OpenAsync();
            DataTable dt = new DataTable();
            using (SqlCommand cmd = new SqlCommand(selectStatement, conn)) {
               SqlDataAdapter adapter = new SqlDataAdapter(cmd);
               adapter.Fill(dt);

               string temptable = "[#" + Guid.NewGuid().ToString("N") + "]";
               cmd.CommandText = string.Format(createDestTableStatement, temptable);
               await cmd.ExecuteNonQueryAsync();

               using (SqlBulkCopy bcp = new SqlBulkCopy(conn)) {
                  bcp.DestinationTableName = temptable;
                  bcp.NotifyAfter = 5;
                  bcp.SqlRowsCopied += new SqlRowsCopiedEventHandler(OnSqlRowsCopied);
                  await bcp.WriteToServerAsync(dt);
               }
            }
         }
      }

      private static void OnSqlRowsCopied(object sender, SqlRowsCopiedEventArgs e) {
         Console.WriteLine("Copied {0} so far...", e.RowsCopied);
      }

      // 3.4 Using the new SqlBulkCopy Async.NET capabilities with DataRow[]
      private static async Task AsyncSqlBulkCopyDataRows() {
         using (SqlConnection conn = new SqlConnection(connectionString)) {
            await conn.OpenAsync();
            DataTable dt = new DataTable();
            using (SqlCommand cmd = new SqlCommand(selectStatement, conn)) {
               SqlDataAdapter adapter = new SqlDataAdapter(cmd);
               adapter.Fill(dt);
               DataRow[] rows = dt.Select();

               string temptable = "[#" + Guid.NewGuid().ToString("N") + "]";
               cmd.CommandText = string.Format(createDestTableStatement, temptable);
               await cmd.ExecuteNonQueryAsync();

               using (SqlBulkCopy bcp = new SqlBulkCopy(conn)) {
                  bcp.DestinationTableName = temptable;
                  await bcp.WriteToServerAsync(rows);
               }
            }
         }
      }

      // 3.7 Using Async.Net and MARS
      private static async Task AsyncSqlBulkCopyMARS() {
         using (SqlConnection marsConn = new SqlConnection(connectionString)) {
            await marsConn.OpenAsync();

            SqlCommand titlesCmd = new SqlCommand("SELECT * FROM [pubs].[dbo].[titles]", marsConn);
            SqlCommand authorsCmd = new SqlCommand("SELECT * FROM [pubs].[dbo].[authors]", marsConn);
            //With MARS we can have multiple active results sets on the same connection
            using (SqlDataReader titlesReader = await titlesCmd.ExecuteReaderAsync())
            using (SqlDataReader authorsReader = await authorsCmd.ExecuteReaderAsync()) {
               await authorsReader.ReadAsync();

               string temptable = "[#" + Guid.NewGuid().ToString("N") + "]";
               using (SqlConnection destConn = new SqlConnection(connectionString)) {
                  await destConn.OpenAsync();
                  using (SqlCommand destCmd = new SqlCommand(string.Format(createDestTableStatement, temptable), destConn)) {
                     await destCmd.ExecuteNonQueryAsync();
                     using (SqlBulkCopy bcp = new SqlBulkCopy(destConn)) {
                        bcp.DestinationTableName = temptable;
                        await bcp.WriteToServerAsync(titlesReader);
                     }
                  }
               }
            }
         }
      }
   }
}

以非同步方式搭配 MARS 使用多個命令

此範例會開啟 AdventureWorks 資料庫的單一連線。使用 SqlCommand 物件，即會建立 SqlDataReader。使用讀取器時，會開啟第二個 SqlDataReader，並使用第一個 SqlDataReader 的資料作為第二個讀取器的 WHERE 子句輸入。

注意

下列範例使用包含於 SQL Server 的 AdventureWorks 範例資料庫。範例程式碼中提供的連接字串會假設資料庫安裝在本機電腦且可供使用。請依據環境需求修改連接字串。

using System;
using System.Data;
using System.Data.SqlClient;
using System.Threading.Tasks;

class Class1 {
   static void Main()
   {
      Task task = MultipleCommands();
      task.Wait();
   }

   static async Task MultipleCommands()
   {
      // By default, MARS is disabled when connecting to a MARS-enabled.
      // It must be enabled in the connection string.
      string connectionString = GetConnectionString();

      int vendorID;
      SqlDataReader productReader = null;
      string vendorSQL =
        "SELECT VendorId, Name FROM Purchasing.Vendor";
      string productSQL =
        "SELECT Production.Product.Name FROM Production.Product " +
        "INNER JOIN Purchasing.ProductVendor " +
        "ON Production.Product.ProductID = " +
        "Purchasing.ProductVendor.ProductID " +
        "WHERE Purchasing.ProductVendor.VendorID = @VendorId";

      using (SqlConnection awConnection =
        new SqlConnection(connectionString)) {
         SqlCommand vendorCmd = new SqlCommand(vendorSQL, awConnection);
         SqlCommand productCmd =
           new SqlCommand(productSQL, awConnection);

         productCmd.Parameters.Add("@VendorId", SqlDbType.Int);

         await awConnection.OpenAsync();
         using (SqlDataReader vendorReader = await vendorCmd.ExecuteReaderAsync()) {
            while (await vendorReader.ReadAsync()) {
               Console.WriteLine(vendorReader["Name"]);

               vendorID = (int)vendorReader["VendorId"];

               productCmd.Parameters["@VendorId"].Value = vendorID;
               // The following line of code requires a MARS-enabled connection.
               productReader = await productCmd.ExecuteReaderAsync();
               using (productReader) {
                  while (await productReader.ReadAsync()) {
                     Console.WriteLine("  " +
                       productReader["Name"].ToString());
                  }
               }
            }
         }
      }
   }
}

搭配 MARS 以非同步方式讀取及更新資料

MARS 允許將連線用於含有一個以上擱置中作業的讀取作業與資料操作語言 (DML) 作業。此功能讓應用程式不需要處理連線忙碌的錯誤。此外，MARS 也可以取代伺服器端資料指標的使用者，這通常會取用更多資源。最後，因為多個作業可在單一連線上進行操作，所以可共用相同的交易內容，而無需使用 sp_getbindtoken 及 sp_bindsession 系統預存程序。

下列主控台應用程式示範如何使用兩個具有三個 SqlCommand 物件的 SqlDataReader 物件，以及已啟用 MARS 的單一 SqlConnection 物件。第一個命令物件會擷取其信用評等為 5 的廠商清單。第二個命令物件會使用 SqlDataReader 提供的廠商識別碼，來載入第二個 SqlDataReader 以及該特定廠商的所有產品。第二個 SqlDataReader 會造訪每個產品記錄。將會執行計算，以判斷新的 OnOrderQty 應該是什麼。然後使用第三個命令物件，以新值來更新 ProductVendor 資料表。這整個程序都會在單一交易內進行，並在結束時復原。

注意

using System;
using System.Collections.Generic;
using System.Text;
using System.Data;
using System.Data.SqlClient;
using System.Threading.Tasks;

class Program {
   static void Main() {
      Task task = ReadingAndUpdatingData();
      task.Wait();
   }

   static async Task ReadingAndUpdatingData() {
      // By default, MARS is disabled when connecting to a MARS-enabled host.
      // It must be enabled in the connection string.
      string connectionString = GetConnectionString();

      SqlTransaction updateTx = null;
      SqlCommand vendorCmd = null;
      SqlCommand prodVendCmd = null;
      SqlCommand updateCmd = null;

      SqlDataReader prodVendReader = null;

      int vendorID = 0;
      int productID = 0;
      int minOrderQty = 0;
      int maxOrderQty = 0;
      int onOrderQty = 0;
      int recordsUpdated = 0;
      int totalRecordsUpdated = 0;

      string vendorSQL =
          "SELECT VendorID, Name FROM Purchasing.Vendor " +
          "WHERE CreditRating = 5";
      string prodVendSQL =
          "SELECT ProductID, MaxOrderQty, MinOrderQty, OnOrderQty " +
          "FROM Purchasing.ProductVendor " +
          "WHERE VendorID = @VendorID";
      string updateSQL =
          "UPDATE Purchasing.ProductVendor " +
          "SET OnOrderQty = @OrderQty " +
          "WHERE ProductID = @ProductID AND VendorID = @VendorID";

      using (SqlConnection awConnection =
        new SqlConnection(connectionString)) {
         await awConnection.OpenAsync();
         updateTx = await Task.Run(() => awConnection.BeginTransaction());

         vendorCmd = new SqlCommand(vendorSQL, awConnection);
         vendorCmd.Transaction = updateTx;

         prodVendCmd = new SqlCommand(prodVendSQL, awConnection);
         prodVendCmd.Transaction = updateTx;
         prodVendCmd.Parameters.Add("@VendorId", SqlDbType.Int);

         updateCmd = new SqlCommand(updateSQL, awConnection);
         updateCmd.Transaction = updateTx;
         updateCmd.Parameters.Add("@OrderQty", SqlDbType.Int);
         updateCmd.Parameters.Add("@ProductID", SqlDbType.Int);
         updateCmd.Parameters.Add("@VendorID", SqlDbType.Int);

         using (SqlDataReader vendorReader = await vendorCmd.ExecuteReaderAsync()) {
            while (await vendorReader.ReadAsync()) {
               Console.WriteLine(vendorReader["Name"]);

               vendorID = (int)vendorReader["VendorID"];
               prodVendCmd.Parameters["@VendorID"].Value = vendorID;
               prodVendReader = await prodVendCmd.ExecuteReaderAsync();

               using (prodVendReader) {
                  while (await prodVendReader.ReadAsync()) {
                     productID = (int)prodVendReader["ProductID"];

                     if (prodVendReader["OnOrderQty"] == DBNull.Value) {
                        minOrderQty = (int)prodVendReader["MinOrderQty"];
                        onOrderQty = minOrderQty;
                     }
                     else {
                        maxOrderQty = (int)prodVendReader["MaxOrderQty"];
                        onOrderQty = (int)(maxOrderQty / 2);
                     }

                     updateCmd.Parameters["@OrderQty"].Value = onOrderQty;
                     updateCmd.Parameters["@ProductID"].Value = productID;
                     updateCmd.Parameters["@VendorID"].Value = vendorID;

                     recordsUpdated = await updateCmd.ExecuteNonQueryAsync();
                     totalRecordsUpdated += recordsUpdated;
                  }
               }
            }
         }
         Console.WriteLine("Total Records Updated: ", totalRecordsUpdated.ToString());
         await Task.Run(() => updateTx.Rollback());
         Console.WriteLine("Transaction Rolled Back");
      }
   }
}

請參閱

在 ADO.NET 中擷取和修改資料

共用方式為

非同步程式設計

舊版非同步程式設計

在 .NET Framework 4.5 中新增的非同步程式設計功能

同步至非同步連接開啟

在現有的應用程式中新增新的非同步功能 (混用新舊模式)

使用基底提供者模型與新的非同步功能

使用 SQL 交易與新的非同步功能

使用 SQL 交易與新的非同步功能

取消非同步作業

包含 SqlBulkCopy 的非同步作業

以非同步方式搭配 MARS 使用多個命令

搭配 MARS 以非同步方式讀取及更新資料

請參閱

其他資源