快速插入数据
主要思想是通过在客户端把数据都缓存在Table中,然后利用SqlBulkCopy一次性把Table中的数据插入到数据库
public static void BulkToDB(DataTable dt) { SqlConnection sqlConn = new SqlConnection( ConfigurationManager.ConnectionStrings["ConnStr"].ConnectionString); SqlBulkCopy bulkCopy = new SqlBulkCopy(sqlConn); bulkCopy.DestinationTableName = "BulkTestTable"; bulkCopy.BatchSize = dt.Rows.Count; try { sqlConn.Open(); if (dt != null && dt.Rows.Count != 0) bulkCopy.WriteToServer(dt); } catch (Exception ex) { throw ex; } finally { sqlConn.Close(); if (bulkCopy != null) bulkCopy.Close(); } } public static DataTable GetTableSchema() { DataTable dt = new DataTable(); dt.Columns.AddRange(new DataColumn[]{ new DataColumn("Id",typeof(int)), new DataColumn("UserName",typeof(string)), new DataColumn("Pwd",typeof(string))}); return dt; } static void Main(string[] args) { Stopwatch sw = new Stopwatch(); for (int multiply = 0; multiply < 10; multiply++) { DataTable dt = Bulk.GetTableSchema(); for (int count = multiply * 100000; count < (multiply + 1) * 100000; count++) { DataRow r = dt.NewRow(); r[0] = count; r[1] = string.Format("User-{0}", count * multiply); r[2] = string.Format("Pwd-{0}", count * multiply); dt.Rows.Add(r); } sw.Start(); Bulk.BulkToDB(dt); sw.Stop(); Console.WriteLine(string.Format("Elapsed Time is {0} Milliseconds", sw.ElapsedMilliseconds)); } Console.ReadLine(); }
耗时图如下:
最后再看看使用表值参数的效率,会另你大为惊讶的。
表值参数是SQL Server 2008新特性,简称TVPs。对于表值参数不熟悉的朋友,可以参考最新的book online,我也会另外写一篇关于表值参数的博客,不过此次不对表值参数的概念做过多的介绍。言归正传,看代码:
public static void TableValuedToDB(DataTable dt) { SqlConnection sqlConn = new SqlConnection( ConfigurationManager.ConnectionStrings["ConnStr"].ConnectionString); const string TSqlStatement = "insert into BulkTestTable (Id,UserName,Pwd)" + " SELECT nc.Id, nc.UserName,nc.Pwd" + " FROM @NewBulkTestTvp AS nc"; SqlCommand cmd = new SqlCommand(TSqlStatement, sqlConn); SqlParameter catParam = cmd.Parameters.AddWithValue("@NewBulkTestTvp", dt); catParam.SqlDbType = SqlDbType.Structured; //表值参数的名字叫BulkUdt,在上面的建立测试环境的SQL中有。 catParam.TypeName = "dbo.BulkUdt"; try { sqlConn.Open(); if (dt != null && dt.Rows.Count != 0) { cmd.ExecuteNonQuery(); } } catch (Exception ex) { throw ex; } finally { sqlConn.Close(); } } public static DataTable GetTableSchema() { DataTable dt = new DataTable(); dt.Columns.AddRange(new DataColumn[]{ new DataColumn("Id",typeof(int)), new DataColumn("UserName",typeof(string)), new DataColumn("Pwd",typeof(string))}); return dt; } static void Main(string[] args) { Stopwatch sw = new Stopwatch(); for (int multiply = 0; multiply < 10; multiply++) { DataTable dt = TableValued.GetTableSchema(); for (int count = multiply * 100000; count < (multiply + 1) * 100000; count++) { DataRow r = dt.NewRow(); r[0] = count; r[1] = string.Format("User-{0}", count * multiply); r[2] = string.Format("Pwd-{0}", count * multiply); dt.Rows.Add(r); } sw.Start(); TableValued.TableValuedToDB(dt); sw.Stop(); Console.WriteLine(string.Format("Elapsed Time is {0} Milliseconds", sw.ElapsedMilliseconds)); } Console.ReadLine(); }
比Bulk还快5秒。