• SqlBulkCopy 快速插入数据


    此代码用于演示仅使用 SqlBulkCopy 的语法。如果源表和目标表都在同一个 SQL Server 实例中,则使用 Transact-SQL INSERT … SELECT 语句复制数据会更方便快捷。
    using System.Data.SqlClient;
    
    class Program
    {
        static void Main()
        {
            string connectionString = GetConnectionString();
            // Open a sourceConnection to the AdventureWorks database.
            using (SqlConnection sourceConnection =
                       new SqlConnection(connectionString))
            {
                sourceConnection.Open();
    
                // Perform an initial count on the destination table.
                SqlCommand commandRowCount = new SqlCommand(
                    "SELECT COUNT(*) FROM " +
                    "dbo.BulkCopyDemoMatchingColumns;",
                    sourceConnection);
                long countStart = System.Convert.ToInt32(
                    commandRowCount.ExecuteScalar());
                Console.WriteLine("Starting row count = {0}", countStart);
    
                // Get data from the source table as a SqlDataReader.
                SqlCommand commandSourceData = new SqlCommand(
                    "SELECT ProductID, Name, " +
                    "ProductNumber " +
                    "FROM Production.Product;", sourceConnection);
                SqlDataReader reader =
                    commandSourceData.ExecuteReader();
    
                // Open the destination connection. In the real world you would 
                // not use SqlBulkCopy to move data from one table to the other 
                // in the same database. This is for demonstration purposes only.
                using (SqlConnection destinationConnection =
                           new SqlConnection(connectionString))
                {
                    destinationConnection.Open();
    
                    // Set up the bulk copy object. 
                    // Note that the column positions in the source
                    // data reader match the column positions in 
                    // the destination table so there is no need to
                    // map columns.
                    using (SqlBulkCopy bulkCopy =
                               new SqlBulkCopy(destinationConnection))
                    {
                        bulkCopy.DestinationTableName =
                            "dbo.BulkCopyDemoMatchingColumns";
    
                        try
                        {
                            // Write from the source to the destination.
                            bulkCopy.WriteToServer(reader);
                        }
                        catch (Exception ex)
                        {
                            Console.WriteLine(ex.Message);
                        }
                        finally
                        {
                            // Close the SqlDataReader. The SqlBulkCopy
                            // object is automatically closed at the end
                            // of the using block.
                            reader.Close();
                        }
                    }
    
                    // Perform a final count on the destination 
                    // table to see how many rows were added.
                    long countEnd = System.Convert.ToInt32(
                        commandRowCount.ExecuteScalar());
                    Console.WriteLine("Ending row count = {0}", countEnd);
                    Console.WriteLine("{0} rows were added.", countEnd - countStart);
                    Console.WriteLine("Press Enter to finish.");
                    Console.ReadLine();
                }
            }
        }
    
        private static string GetConnectionString()
            // To avoid storing the sourceConnection string in your code, 
            // you can retrieve it from a configuration file. 
        {
            return "Data Source=(local); " +
                " Integrated Security=true;" +
                "Initial Catalog=AdventureWorks;";
        }
    }
    

      

  • 相关阅读:
    MySql行锁等待时间
    日志工具类-Mapper静态调用
    MySql锁机制理解记录
    Flink之TableAPI和SQL(5):表的时间特性
    Flink之TableAPI和SQL(4):表的Sink实现
    Flink之TableAPI和SQL(3):通过TableAPI和SQL表的一些操作(包括查询,过滤,聚集等)
    Flink之TableAPI和SQL(2):表和外部系统的连接方式
    Flink之TableAPI和SQL(1):基本功能描述
    sb 错误
    洛谷 P6189
  • 原文地址:https://www.cnblogs.com/z5337/p/4126741.html
Copyright © 2020-2023  润新知