#region 方式一 (EFBatchOperation,先插入主表,再查询主表结果再linq对应匹配,再批量插入从表)
List insert_customers_list = new List();
List insert_customerDetail_list = new List();
foreach (var item in list)
{
Customer customer = new Customer()
{
Name = item.Name,
PhoneNo = item.PhoneNo,
CreateUserId = this.Token_UserId,
CreateTime = DateTime.Now,
AddSource = (int)AddSource.Excel,
PartnerId = this.Token_PartnerId,
};
insert_customers_list.Add(customer);
}
if (insert_customers_list.Count > 0)
{
EFBatchOperation.For(this.DbCtx, this.DbCtx.Customers)
.InsertAll(insert_customers_list);
}
//查询数据库刚插入的
List dbCustomer_list = await this.DbCtx.Customers.AsNoTracking()
.Where(a => phoneNoList.Contains(a.PhoneNo) && a.PartnerId == this.Token_PartnerId)
.ToListAsync();
foreach (var item in list)
{
Customer customer = dbCustomer_list.FirstOrDefault(a => a.PhoneNo == item.PhoneNo);
if (customer != null)
{
insert_customerDetail_list.Add(new CustomerDetail()
{
CustomerId = customer.Id,
Sex = item.DbSex,
WeChatNo = item.WeChatNo,
Qq = item.QQ,
Email = item.Email,
CompanyName = item.CompanyName,
CompanyAddress = item.CompanyAddress,
CompanyWebSite = item.CompanyWebSite,
});
}
}
if (insert_customerDetail_list.Count > 0)
{
EFBatchOperation.For(this.DbCtx, this.DbCtx.CustomerDetails)
.InsertAll(insert_customerDetail_list);
}
#endregion 方式一
#region 方式二 (主表用 EF的 表上下文context.Add方法,再批量 SaveChanges 保存 并能返回主表插入后的id,再用linq 去关联 数据,再 从表用 EFBatchOperation 插入)
List insert_customers_list = new List();
List insert_customerDetail_list = new List();
foreach (var item in list)
{
Customer customer = DbCtx.Customers.Add(new Customer()
{
Name = item.Name,
PhoneNo = item.PhoneNo,
CreateUserId = this.Token_UserId,
CreateTime = DateTime.Now,
AddSource = (int)AddSource.Excel,
PartnerId = this.Token_PartnerId,
});
insert_customers_list.Add(customer);
}
var count = await this.DbCtx.SaveChangesAsync();
foreach (var item in insert_customers_list)
{
CustomerExcelData customer = list.FirstOrDefault(a => a.PhoneNo == item.PhoneNo);
if (customer != null)
{
insert_customerDetail_list.Add(new CustomerDetail()
{
CustomerId = item.Id,
Sex = customer.DbSex,
WeChatNo = customer.WeChatNo,
Qq = customer.QQ,
Email = customer.Email,
CompanyName = customer.CompanyName,
CompanyAddress = customer.CompanyAddress,
CompanyWebSite = customer.CompanyWebSite,
});
}
}
if (insert_customerDetail_list.Count > 0)
{
EFBatchOperation.For(this.DbCtx, this.DbCtx.CustomerDetails)
.InsertAll(insert_customerDetail_list);
}
#endregion 方式二
#region 方式三 (拼接sql,使用 T-SQL 的系统函数SCOPE_IDENTITY()得到主表的id,以整行对象提交少了查询和关联步骤 )
#region 格式化 的sql
// INSERT INTO[dbo].[Customer]
// ([Name]
// ,[PhoneNo]
// ,[CreateUserId]
// ,[CreateTime]
// ,[AddSource]
// ,[PartnerId]
// ,[Deleted])
//VALUES
// ('zhege'
// , 'zhege'
// , 1
// , '2019-05-30'
// , 1
// , 1
// , 1);
// INSERT INTO[dbo].[CustomerDetail]
// ([CustomerId]
// ,[Sex]
// ,[WeChatNo]
// ,[QQ]
// ,[Email]
// ,[CompanyName]
// ,[CompanyAddress]
// ,[CompanyWebSite])
//VALUES
// (@@identity
// ,1
// ,'zhege'
// ,'zhege'
// ,'zhege'
// ,'zhege'
// ,'zhege'
// ,'zhege');
#endregion
StringBuilder stringBuilder = new StringBuilder();
foreach (var item in list)
{
//这里使用压缩 sql 语句,减小传输数据大小
//stringBuilder.AppendLine($"INSERT INTO [dbo].[Customer] ([Name], [PhoneNo], [CreateUserId], [CreateTime], [AddSource] , [PartnerId], [Deleted]) VALUES ('{item.Name}', '{item.PhoneNo}', {this.Token_UserId}, '{DateTime.Now}', {(int)AddSource.Excel} , {this.Token_PartnerId}, 0); INSERT INTO [dbo].[CustomerDetail] ([CustomerId], [Sex], [WeChatNo], [QQ], [Email] , [CompanyName], [CompanyAddress], [CompanyWebSite]) VALUES (SCOPE_IDENTITY(), {item.DbSex}, '{item.WeChatNo}', '{item.QQ}', '{item.Email}' , '{item.CompanyName}', '{item.CompanyAddress}', '{item.CompanyWebSite}');");
//这里不压缩
stringBuilder.AppendLine($@"
INSERT INTO [dbo].[Customer]
([Name]
, [PhoneNo]
, [CreateUserId]
, [CreateTime]
, [AddSource]
, [PartnerId]
, [Deleted])
VALUES
('{item.Name}'
, '{item.PhoneNo}'
, {this.Token_UserId}
, '{DateTime.Now}'
, {(int)AddSource.Excel}
, {this.Token_PartnerId}
, 0);
INSERT INTO [dbo].[CustomerDetail]
([CustomerId]
, [Sex]
, [WeChatNo]
, [QQ]
, [Email]
, [CompanyName]
, [CompanyAddress]
, [CompanyWebSite])
VALUES
(SCOPE_IDENTITY()
, {item.DbSex}
, '{item.WeChatNo}'
, '{item.QQ}'
, '{item.Email}'
, '{item.CompanyName}'
, '{item.CompanyAddress}'
, '{item.CompanyWebSite}');
");
}
//执行sql
int count = await DbCtx.Database.ExecuteSqlCommandAsync(stringBuilder.ToString());
#endregion 方式三
方式三如果有多个从表则像下面这样使用 T-SQL 的临时变量实现
--声明变量保存最近插入的 主表 id
DECLARE @CurrentId int;
--这里插入主表A
INSERT INTO [dbo].[Customer]
([Name], [PhoneNo], [CreateUserId], [CreateTime], [AddSource]
, [PartnerId], [Deleted])
VALUES ('zhege', 'zhege', 1, '2019-05-30', 1
, 1, 1);
--赋值变量, 为最近插入的主表主键,供后面从表插入时使用的外键
SET @CurrentId = SCOPE_IDENTITY();
--这里插入从表B
INSERT INTO [dbo].[CustomerDetail]
([CustomerId], [Sex], [WeChatNo], [QQ], [Email]
, [CompanyName], [CompanyAddress], [CompanyWebSite])
VALUES (@CurrentId, 1, 'zhege', 'zhege', 'zhege'
, 'zhege', 'zhege', 'zhege');
--这里插入从表C
INSERT INTO [dbo].[UserCustomer] ([SysUserId], [CustomerId], [NoteName], [Remake], [Deleted])
VALUES (3, @CurrentId, 'zhege', 'zhege', 1);
--这里插入主表A
INSERT INTO [dbo].[Customer]
([Name], [PhoneNo], [CreateUserId], [CreateTime], [AddSource]
, [PartnerId], [Deleted])
VALUES ('zhege', 'zhege', 1, '2019-05-30', 1
, 1, 1);
--赋值变量, 为最近插入的主表主键,供后面从表插入时使用的外键
SET @CurrentId = SCOPE_IDENTITY();
--这里插入从表B
INSERT INTO [dbo].[CustomerDetail]
([CustomerId], [Sex], [WeChatNo], [QQ], [Email]
, [CompanyName], [CompanyAddress], [CompanyWebSite])
VALUES (@CurrentId, 1, 'zhege', 'zhege', 'zhege'
, 'zhege', 'zhege', 'zhege');
--这里插入从表C
INSERT INTO [dbo].[UserCustomer] ([SysUserId], [CustomerId], [NoteName], [Remake], [Deleted])
VALUES (3, @CurrentId, 'zhege', 'zhege', 1)
下面是测试结果
方式三的结果看出 拼接sql语句 如果语法压缩下 能提升几倍性能
在线压缩地址http://www.bejson.com/otherformat/sql/