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2025-07-04 09:50:02 +08:00
k# 描述
1. 部署环境 ：Window Server
2. 开发平台 ：VS2015或VS2017
3. ORM ：SqlSugar
4. Ioc框架 ：Unity
5. Aop框架 ：Unity
6. Json框架 ：Newtonsoft.Json
7. 日志框架 : log4net
8. 缓存 ：内存或Redis
9. Api接口帮助：/swagger/，已按Area区域划分
## 通用操作
1. 明显能预知的异常，使用BaseException抛出
```
if (workprocess.Status != (int)WorkProcessStatus.Stop) {throw new BaseException("当前进程状态不是停止");}
```
2. 写日志
```
LogHelper.Error("错误测试str");
LogHelper.Info("错误测试Exception");
```
错误日志存放在目录App_Log，当异常发生的时候，每一层包括仓储和服务层都会拦截到错误信息，可以看到每一层具体的传参情况。看日志可以通过http请求txt文件查看到。
3.AOP事务
方法头添加[TransactionCallHandler]，需要注意只拦截一个方法最外层的事务,一个方法只拦截一次。比如
```
[TransactionCallHandler]
public void RestartStopProcess(Guid workprocessId) {}
```
4、关于批量操作
在Controller层循环，在Service层只写单个处理的方法。比如例子，批量审核：
Controller层：
```
[HttpPost]
public void Audit(List<Guid> ids)
{
foreach(var id in ids) { _workProcessService.Audit(id);}
}
```
Service层：
```
[TransactionCallHandler]
public void Audit(Guid id) {}
```
此种方式能保证Service运用到事务，且不会出现大事务回滚的复杂情况。
5、关于事务补充
第三方不可逆操作在方法里需要写到最后一步，比如：
```
[TransactionCallHandler]
public void TransferMoney()
{
1.执行保存数据库操作，更新支付状态
2.执行微信打款操作
}
```
6、SQL注入
若对SQL注入不了解，没有把握自己写的方法会不会导致SQL注入，重点看下面的SQL操作demo，所有的SQL请求参数都采用参数化查询的方式提交。
7、缓存
缓存放弃使用Aop方式实现，因方法内部调用时会导致无法拦截。现使用缓存直接使用接口：IMyCodeCacheService中的Get和Set方法，比如：
```
private readonly IMyCodeCacheService _myCodeCacheService;
public UserService(IMyCodeCacheService myCodeCacheService)
{
_myCodeCacheService = myCodeCacheService;
}
public string GetRegionName(Guid id)
{
var cacheKey = $"region-{id}";
var cacheValue = _myCodeCacheService.Get(cacheKey);
if(cacheValue == null)
{
//获取得到数据
var data = "广东";
_myCodeCacheService.Set(cacheKey,data,new TimeSpan(1,0,1));
return data;
}
return cacheValue.ToString();
}
```
8、Token授权
头部增加：Authorization token，比如：
header 'Authorization: CbkmWDbwqf5BGvRUA416zYRBlAM09Py_mYGXDwoFflEqsHworu'
9、不需要授权的接口，在Controller层方法添加头：
```
[AllowAnonymous]
```
比如：
```
[HttpGet]
[AllowAnonymous]
public void ExportTest()
{
}
```
10、接口统一返回参数，格式：
```
{
"Data": null,//返回如果有数据，统一放这里，不管是List还是单实体
"ResultCode": 1,//如果接口没出错，则返回1;返回-1则接口出错
"ErrorMessage": null//如果接口出错，这里显示出错信息
}
```
11、GenerateCode
代码自动生成，如果已存在相应的文件，除了实体外，仓储是直接跳过。
### 代码目录结构
```
├── 00-Lib -- 依赖库文件夹
├── 02-Document -- 文档文件夹
├── 03-FrameWork -- 存放第三方开源源代码
├── 04-MyCode.Project.Domain --域
│ ├── Config --配置实体
│ ├── Message --消息实体
│ │ ├── Act --操作请求实体
│ │ ├── Request --查询实体
│ │ ├── Response --响应实体
│ │ ├── Model --数据库实体
│ │ ├── Repositories --仓储接口
├── 05-MyCode.Project.GenerateCode --代码生成
├── 06-MyCode.Project.Infrastructure --基础设施层
├── 07-MyCode.Project.OutSideService --外部引用层
├── 08-MyCode.Project.Repositories --仓储实现层
├── 09-MyCode.Project.ScheduleTask --调度层
├── 10-MyCode.Project.Services --服务层
├── 11-MyCode.Project.WebApi --WEBAPI层 --
```
## SQL操作
1. Insert插入成功会自动将自递增id新的值更新到实体
```
_workProcessRepository.Add(new WorkProcess()
{
FuncType = 1,
MethodName = "",
ParameterInfo = "",
WorkProcessId = Guid.NewGuid(),
UpdateTime = DateTime.Now
});
```
2. 取单表的前n条数据，单表情况多参考这里写法，只返回需要的字段，不要返回表中所有字段；
```
return _workProcessRepository.Queryable()
.Where(p => p.Status == (int)WorkProcessStatus.RUUNING && p.SystemType == 200)
.Take(top)
.OrderBy(p => p.UpdateTime).Select(p => new { p.WorkProcessId }).ToList();
//生成Sql
exec sp_executesql N'SELECT * FROM (SELECT [WorkProcessId] AS [WorkProcessId] ,ROW_NUMBER() OVER(ORDER BY [UpdateTime] ASC) AS RowIndex FROM [WorkProcess] WITH(NOLOCK) WHERE (( [Status] = @Status0 ) AND ( [SystemType] = @Const1 ))) T WHERE RowIndex BETWEEN 1 AND 10',N'@Status0 int,@Const1 int',@Status0=1,@Const1=200
```
3. Update 更新
```
var workProcess = _workProcessRepository.SelectFirst(p => p.WorkProcessId == Guid.Parse("7BDDBBD3-B1CD-4C25-93BA-D7BF22032108"));
workProcess.Remark = "修改测试";
_workProcessRepository.Update(workProcess);
```
4. Update 更新部分字段，如果能明确更新字段，用该方法
```
_workProcessRepository.Update(
it => new WorkProcess { Remark = "测试批量修改",SystemType = 0 },
p => p.WorkProcessId ==Guid.Parse("7BDDBBD3-B1CD-4C25-93BA-D7BF22032108"));
//生成Sql
exec sp_executesql N'UPDATE [WorkProcess] SET
[Remark] = @Const0 , [SystemType] = @Const1 WHERE ( [WorkProcessId] =@constant2)',N'@Const0 nvarchar(4000),@Const1 int,@constant2 uniqueidentifier',@Const0=N'测试批量修改',@Const1=0,@constant2='7BDDBBD3-B1CD-4C25-93BA-D7BF22032108'
```
5.Sql语句查询返回列表
```
_workProcessRepository.SelectList<WorkProcess>("Select top 10 * from workprocess where systemtype=@systemtype", new { SystemType = 200 });
//生成的Sql
exec sp_executesql N'Select top 10 * from workprocess where systemtype=@systemtype',N'@SystemType int',@SystemType=200
```
6.根据一组主键Guid返回列表
```
var ids = new List<Guid>();
ids.Add(Guid.Parse("6B2E752C-CBD3-4C56-80C0-0000339F982A"));
ids.Add(Guid.Parse("E1CD8853-993C-4EFE-8863-0000FDF68054"));
_workProcessRepository.SelectList(ids);
//生成的Sql语句
SELECT [WorkProcessId],[TypePath],[MethodName],[ParameterInfo],[UpdateTime],[Remark],[Status],[ExceptionInfo],[SystemType],[FuncType] FROM [WorkProcess] WITH(NOLOCK) WHERE [WorkProcessId] IN ('6b2e752c-cbd3-4c56-80c0-0000339f982a','e1cd8853-993c-4efe-8863-0000fdf68054')
```
7.大数据插入
当需要插入非常多的数据时，先将数据处理好，调用Add(List)的方法，速度会很快；特别注意不要一个个去Add(Model)，这种会非常慢；
```
var workProcessList = new List<WorkProcess>();
for (int i = 0; i < 1000; i++)
{
workProcessList.Add(new WorkProcess(){
FuncType = 1,
MethodName = "",
ParameterInfo = "",
WorkProcessId = Guid.NewGuid(),
UpdateTime = DateTime.Now
});
}
_workProcessRepository.Add(workProcessList);
```
8.大数据修改
当需要修改非常多的数据时，先将数据处理好，调用Update(List)的方法，速度非常快，特别注意不要一个个去Update(Model)，这种会非常慢；另提供一个优化的方法，只批量更新需要的字段：
```
//lines为一组Guid集合，这里某些情况并不需要从数据库拿数据
var workprocesses = lines.Select(line => new WorkProcess { WorkProcessId = line.WorkProcessId, TypePath = "MyCode" });
_workProcessRepository.Update(workprocesses,it => new { it.TypePath});
//生成的Sql
UPDATE S SET S.[TypePath]=T.[TypePath] FROM [WorkProcess] S INNER JOIN (
SELECT N'6b2e752c-cbd3-4c56-80c0-0000339f982a' AS [WorkProcessId],N'test201898' AS [TypePath]
UNION ALL
SELECT N'e1cd8853-993c-4efe-8863-0000fdf68054' AS [WorkProcessId],N'test201898' AS [TypePath]
) T ON S.[WorkProcessId]=T.[WorkProcessId]
```
9、使用Sql语句查询单条数据
```
_workProcessRepository.SelectFirst<WorkProcess>("Select top 1 * from workprocess")
```
带参数：
```
_sysLoginRepository.SelectList<SysLogin>("select top 10 * from SysLogin where login like '%' + @key + '%'", new { key = "k" });
```
10、使用Sql语句查询列表数据
```
_workProcessRepository.SelectList<WorkProcess>("Select top 10 * from workprocess");
```
11、IN查询
```
_workProcessRepository.Queryable().In<WorkProcess>("workprocessid", "6B2E752C-CBD3-4C56-80C0-0000339F982A", "E1CD8853-993C-4EFE-8863-0000FDF68054")
```
根据主键IN查询：
```
_basCourseRepository.Queryable().In(courseIds).Select(p => new KeyValue { Text = p.Name, Value = p.Id }).ToList();
```
```
_basDataTagRepository.Queryable().In(it => it.data_id, projectIds);
```
12、Count查询
```
_workProcessRepository.Count(p => p.SystemType == 200);
```
13、分页
```
var strSql = $@"SELECT
L.LoginId,
Login,
L.Name,
Tele,
L.Editor,
L.EditTime,
L.Status,
SR.Name AS RoleName
FROM
SysLogin L WITH (nolock)
LEFT JOIN
dbo.SysLoginRole LR WITH (NOLOCK) ON L.LoginID = LR.LoginID
LEFT JOIN
dbo.SysRole SR WITH (nolock) ON LR.RoleID = SR.RoleID";
var where = new SearchCondition();
where.AddCondition("L.MerchantID",merchantId, SqlOperator.Equal,true);
//where.AddSqlCondition("L.Login like '%' + @key + '%'",
true,
new SugarParameter("key", "a"));
where.AddSqlCondition("a.nick like @key or a.true_name like @key or a.mobile like @key ",!string.IsNullOrWhiteSpace(con.KeyWord),new SqlSugar.SugarParameter("key",$"%{con.KeyWord}%"));
where.AddCondition("L.status",1,SqlOperator.Equal,true);
var whereResult = where.BuildConditionSql();
return this.SelectListPage<LoginListResp>(strSql, where, request.Page, request.PageSize, "EditTime desc");
```
14、按需读取
```
//这里只需要一个字段
var loginRole = _sysLoginRoleRepository.Queryable().Where(p => p.LoginID == loginId).Select(p => new { p.RoleID }).First();
```
15、增加支持Sql二级缓存，关键字WithCache
```
var weconfig = _basWechatConfigRepository.Queryable().Where(p => p.Appid == request.AppId).Select(p => new { p.Appid, p.AppSecret,p.CompanyId }).WithCache(60).First();
```
16、支持以工作单元方式一次性执行打包的Sql，带事务；
```
_basMemberRepository.AddQueue(insertMember);
_basMemberMoreRepository.AddQueue(memberMore);
_basMemberRepository.SaveQueue();
//也可以用_basMemberMoreRepository.SaveQueue();
```
工作单元的此种方法唯一不足是默认mysql没有加锁，如果有修改，则并发会出现问题。而mysql的for update语句可以保证update该行或表数据的时候，没有被其它事务占用。如果其它事务占用，则会等待其它事务提交再提交。所以上面的语句可以写成：
```
_basMemberMoreRepository.BeginTran();
var memberMore = _basMemberMoreRepository.Queryable().Where(p => p.Id == 2005111149137091).With(SqlWith.UpdLock).First();
_basMemberRepository.AddQueue(insertMember);
_basMemberMoreRepository.UpdateQueue(memberMore);
_basMemberRepository.SaveQueue();//内部实现try,catch风格的事务和回滚，且已经处理事务嵌套
//也可以用_basMemberMoreRepository.SaveQueue();
```
17、Api缓存
```
Api缓存为在控制层使用，使用例子为：
[ApiCache(ServiceSecond=50)]
[HttpGet]
public DateTime GetTest(int i)
```
# 参考或引用
- https://github.com/sunkaixuan/SqlSugar
- http://jwt.io
- https://github.com/jianxuanbing/SwashbuckleEx
# 更新记录 2020-5-10
1. SqlSugar升级到最新版
2. 增加ToJson扩展
3. 日志Info和Error存放不同目录
4. Connection关闭改为按PerRequest关闭
5. 实体生成增加字段名映射
http://120.78.137.110:2343
1) 需要更换负载均衡为nginx,报表；
2）改名D:\publish\LxmReportApi，统一使用lxm-report-api里面的
1) StaMemberExpensesRecord波哥需要补全这个表的历史数据
2) 判断金额是否一致
select a.id,((a.total_amount - a.balance)*a.direct) '主表' ,
ROUND(b.amont,2) '明细表',create_time
from lxm_sheet a inner join
( select sales_sheet_id,
SUM( no_balance_pay_unit_price * qty * direct ) amont from
lxm_sheet_item GROUP BY sales_sheet_id )
b on a.id=b.sales_sheet_id
where (a.total_amount - a.balance)*a.direct<>ROUND(b.amont,2) ORDER BY create_time
select * from (
select a.id,((a.total_amount - a.balance)) '主表' ,
ROUND(b.amont,4) '明细表',create_time
from lxm_sheet a inner join
( select sales_sheet_id,
SUM( no_balance_pay_unit_price * qty ) amont from
lxm_sheet_item GROUP BY sales_sheet_id )
b on a.id=b.sales_sheet_id
where (a.total_amount - a.balance)*a.direct<>ROUND(b.amont,4)
) t where (t.主表 - t.明细表) > 0.01
//MSSQL那边的验证金额
select sum(TotalAmount-balance+rechargeamount) from StaMemberExpensesRecord a
where shopid='43d7c3d0-8501-19e9-b3ac-39ef10cc301a' and createtime>='2023-04-01' and a.createtime<'2023-05-01'
and sheettYPE <> 5
and flag = 100
//比对价格不一致
select a.id,a.no_balance_pay_amount,a.balance,b.pay_amount from lxm_sheet a
left join(
select sales_sheet_id,sum(no_balance_pay_amount*direct) pay_amount from lxm_sheet_item
group by sales_sheet_id
) b on a.id = b.sales_sheet_id
where shop_id='43d7c3d0-8501-19e9-b3ac-39ef10cc301a' and create_time>='2023-04-01' and create_time<'2023-05-01'
and a.no_balance_pay_amount != b.pay_amount
select sum(totalamount-balance) from StaMemberExpensesRecord a
where shopid='43d7c3d0-8501-19e9-b3ac-39ef10cc301a' and createtime>='2023-04-01' and a.createtime<'2023-05-01'
and sheettYPE <> 5 and rechargeamount = 0
and flag = 100
1465.8000
select sum(rechargeamount) from StaMemberExpensesRecord a
where shopid='43d7c3d0-8501-19e9-b3ac-39ef10cc301a' and createtime>='2023-04-01' and a.createtime<'2023-05-01'
and sheettYPE <> 5 and rechargeamount > 0
and flag = 100
### 计算业绩汇总不一致的情况
select
a.id,
a.direct * a.total_amount,b.amount from lxm_sheet a
inner join (
select
sales_sheet_id,
SUM(in_blance_amount*direct) amount
from lxm_sheet_item
GROUP BY sales_sheet_id
) b on a.id = b.sales_sheet_id
where abs(a.direct * a.total_amount - b.amount) >0.1
select * from (
select
a.id,
a.no_balance_pay_amount*direct as '主表' ,
ROUND(b.amont,2) '明细表',
-- ((a.no_balance_pay_amount)*a.direct)-ROUND(b.amont,2),
create_time
from
lxm_sheet a inner join
( select sales_sheet_id,
SUM( no_balance_pay_amount * direct ) amont from
lxm_sheet_item GROUP BY sales_sheet_id )
b on a.id=b.sales_sheet_id
where ((a.no_balance_pay_amount)*a.direct)<>ROUND(b.amont,2)
) t where ABS(t.`主表`-t.`明细表`)>1 ORDER BY create_time DESC
名词解释：
业绩：销售单+充值单，加上余额，MSSQL中就是明细中的CalPrice,这里没有预售单是因为预售单最终也是转成了销售单，而算业绩是以转换成销售单时间来算的。
收款：实际支付金额，预售+销售+充值，预转销的时候并不需要实际支付钱，但并不是所有销售单都是预转销订单，需要去掉余额。
CalPrice:含余额支付的单价
NcCalPrice:不含余额支付的单价
门店诊断：为0有可能显示也有可能不显示，如果营业中但业绩为0，则显示为0；
2023-6-19
update lxm_sheet_item
set has_child_node = 0
1） 套装商品，统计套装SKU，不需要按明细统计;
barcodeId = 'c12c74cf-8bf4-667d-877f-3a01634de171'
2） 赠送的不参与统计，销售。赠送的是放其它表。-可以暂时不考虑
3) 卡券不参与商品或者服务的统计，只参与业绩金额的统计
4） 自定义套餐，商品需要拆，服务也需要，如果出现没有服务的情况，则不需要拆，直接套餐就是服务了 BusSalesServiceSetLog
-- 均摊价格
按吊牌价均摊，最后补齐，单价4为小数，4舍5入，小计两位小数4舍五入
5） 组合商品目前下单是直接拆成明细的，所以没这个问题；
6) 服务套餐 - 经2023-6-16和阿俊确认，不需要拆分到底部
如果需要统计的是分类的数据，则要统计到明细后细分的数据，条件:lxm_sheet_item.has_child_node=0(没有子节点即为所有叶子节点数据)
1) 自定义套餐旧的不动，算到服务；
### 使用天数MSSQL那边的数据
select
convert(varchar(10),a.createtime,120)
from
RpShopUseAppletData a with(nolock)
left join
bascustomer c with(nolock) on c.id = a.customerid
where UseType in (30, 31, 32, 33, 301, 302, 303) and a.ShopID = '51870d25-999f-e48f-5523-39e64165db3f' and a.createtime >= '2023-6-1' and a.createtime <= '2023-7-1'
group by convert(varchar(10),a.createtime,120)
union
SELECT
convert(varchar(10),a.createtime,120)
FROM
StaMemberExpensesRecord a with(nolock)
left join
BasCustomer c on a.CustomerId = c.ID
WHERE a.ShopId IS NOT NULL AND a.shopid='51870d25-999f-e48f-5523-39e64165db3f'
and a.createtime >= '2023-6-1' and a.createtime < '2023-7-1'
group by convert(varchar(10),a.createtime,120)
MYSQL对比两边的数据差异
select a.shop_id,a.shi_yong_tian_shu,b.usedays from rp_shop_zhenduansibiao_search a
JOIN (select shop_id, COUNT(1) usedays from lxm_use_days where create_time>='2023-07-01' GROUP BY shop_id ) b
on a.shop_id=b.shop_id where a.days='2023-07-01' and a.shi_yong_tian_shu<>b.usedays
1） 在该店铺以前没有单次消费500元以上？
只算当前店铺。这个以前是根据查询条件确定的时间，还是和查询时间无关的，和查询条件无关；
2）这种新客老客意思是这个月只要有一笔满足，那么这个月这个人所有消费都算是老客是吗？还是说满足之后才算老客。
比如这个月1号，我消费了100元，
2号的时候，我消费了600元。
3号的时候，我消费了50元。
那么这个是算老客消费了750元？
第一个月满足了条件的话，算是新客，下个月开始就算老客；
3） 总业绩
9月 总业绩1000
分别是 :
1号A老客消费了900
2号B新客消费了300
3号C新客退了100
4号A老客退了100
检查数据
select * from
((select
a.Id,
a.direct,
a.total_amount,
a.create_time,
a.member_id,
a.shop_id,
more.is_first_more_than_500,
more.remark,
more.update_time,
more.is_old_member_500,
more.first_more_than_500_sheet_id
from
lxm_sheet a
inner join
lxm_sheet_more more on a.id = more.id
where a.shop_id='f344cd45-26ae-3ea1-0cdd-39e611e31484' and a.create_time >= '2020-8-1' and a.create_time < '2020-9-1'
)
UNION
(select
a.Id,
a.direct,
a.amount,
a.create_time,
a.member_id,
a.shop_id,
more.is_first_more_than_500,
more.remark,
more.update_time,
more.is_old_member_500,
more.first_more_than_500_sheet_id
from
lxm_recharge a
inner join
lxm_sheet_more more on a.id = more.id
where a.shop_id='f344cd45-26ae-3ea1-0cdd-39e611e31484' and a.create_time >= '2020-8-1' and a.create_time < '2020-9-1'
)) T order by T.create_time asc
select * from
select
TT.shop_id,
TT.year,
TT.`month`,
sum(case when TT.member_id is not null and TT.is_first_more_than_500 = 0 and TT.is_old_member_500 = 0 then TT.total_amount else 0 end ) ThisMonthTiYanAmount,
sum(case when TT.member_id is not null and TT.is_first_more_than_500 = 0 and TT.is_old_member_500 = 0 then 1 else 0 end ) ThisMonthTiYanQty,
sum(case when TT.is_old_member_500 = 1 then TT.total_amount else 0 end) ThisMonthOldMemberAmount,
sum(case when TT.is_old_member_500 = 1 then 1 else 0 end ) ThisMonthOldMemberQty,
sum(case when TT.is_first_more_than_500 = 1 then TT.total_amount else 0 end) ThisMonthNewMemberAmount,
sum(case when TT.is_first_more_than_500 = 1 then 1 else 0 end ) ThisMonthNewMemberQty,
sum(TT.not_member_order_qty) ThisMonthNotMemberOrderQty,
sum(case when TT.member_id is null then TT.total_amount else 0 end) ThisMonthNotMemberAmount
from (
select
T.shop_id,
T.member_id,
YEAR(T.create_time) year,
MONTH(T.create_time) month,
max(T.is_old_member_500) is_old_member_500,
max(T.is_first_more_than_500) is_first_more_than_500,
sum(T.total_amount) total_amount,
sum(T.no_balance_pay_amount) no_balance_pay_amount,
sum(case when T.member_id is NULL and T.total_amount > 0 then 1 else 0 end) not_member_order_qty
from (
(select
a.create_time,
a.shop_id,
a.member_id,
total_amount * direct total_amount,
no_balance_pay_amount * direct no_balance_pay_amount,
more.is_first_more_than_500,
more.is_old_member_500
from
lxm_sheet a
inner JOIN
lxm_sheet_more more on a.id = more.id
)
UNION
(select
a.create_time,
a.shop_id,
a.member_id,
0 total_amount,
amount no_balance_pay_amount,
more.is_first_more_than_500,
more.is_old_member_500
from
lxm_recharge a
inner JOIN
lxm_sheet_more more on a.id = more.id
)
) T
group by T.shop_id,T.member_id,YEAR(T.create_time),MONTH(T.create_time)
) TT
group by TT.shop_id,TT.`year`,TT.`month`
select a.*,more.* from lxm_sheet a
inner JOIN
lxm_sheet_more more on a.id = more.id
where a.shop_id = '0d953a13-aece-81e3-31c7-39e63b48b1f8' and a.member_id is null
select * from lxm_sheet_more
where id = '009278e2-3143-fe99-5d8d-39e7ab3cc5ee'
部署：
1) 增加表lxm_sheet_more
2) lxm_sheet和lxm_recharge增加member_id
3) 导出增加两个模板文件
MSSQL那边的业绩获取：业绩：只统计销售订单的业绩
SELECT SUM(record.TotalAmount+record.YuShouTotalAmount) FROM dbo.StaMemberExpensesRecord record WITH(NOLOCK)
WHERE shopid = '55de1cfa-8bd7-ead4-2ec5-39e9da7379b8'
and CreateTime >= '2023-7-1'
and CreateTime < '2023-8-1'
AND SheetType IN ( 1,4)
对应MYSQL的取业绩：
select sum(total_amount*direct) from lxm_sheet
where shop_id = '55de1cfa-8bd7-ead4-2ec5-39e9da7379b8' and create_time >= '2023-7-1' and create_time < '2023-8-1' and type = 1
增加表：lxm_sheet_item_package
预转销的订单的sheet.NoBalancePayAmount = 0;
###
1）增加表:lxm_enum表和数据,lxm_relation,lxm_sku,lxm_service
2）检查lxm_sheet_more数据进入情况；
3）更新订单改成20秒更新30秒内数据变化；
4) 表lxm_sheet增加字段：
is_porder_sorder : 1，是预转销订单 0，正常订单
from_type: 0= 其他; 1= 抖音; 2= 美团; 3=自然流量; 4=老顾客列表 5=1元公益、派单
is_new_member_order:1新客订单
is_first_order:1是否首单
member_mobile:会员手机
order_clerk_id:下单店员id
order_clerk_name:店员姓名
order_clerk_mobile:店员手机
5) 检查下 StaMemberExpensesRecord != 100的数据，
6) 需要补充:is_new_member_order，is_first_order，clerk_id的数据。需要核对guid的新增字段是否为null值
7) lxm_shop增加字段：status ，1：启用 0：禁用
1
2025-09-04 15:34:57 +08:00
单据：
99
2025-07-04 09:50:02 +08:00
-预售单 BusPreSalesSheet
-销售单
-- BusSalesSheet -> 有可能是预转销的订单
-> 正常的订单
-退款单
销售计划的排查：
1）根据订单id得到下单店员
select id,sheet,create_time,direct,order_clerk_id from lxm_sheet
where id = '845c7b9b-d1b0-47ff-8591-01a57b9f13c0'
2) 根据店员ID，得到这个店员的销售计划 :
select
cPlan.id,-- 计划id
cPlan.product_id,-- 套餐id
cPlan.name,-- 套餐名
pPlan.package_id source_package_id -- 来源的套餐id
from bd_clerk_product_sales_plan cPlan
left join
lxm_product_sales_schedule pPlan on cPlan.Product_Id = pPlan.Id
where cPlan.status = 1 and cPlan.version_time = '2023-11-1 0:00:00'
and cPlan.clerk_id = '062dd030-194c-012a-df77-3a0cea5ada93'
3) 根据上面得到的套餐id，得到这些套餐的所有商品关系：
-- 得到套餐的所有商品
select
a.id Id,-- 套擦id
a.package_name PackageName,
sku.name ProductOrServiceName,
sku.barcode_id ProductOrServiceId,
r.data_type DataType,
sku.base_price SourcePrice,
r.qty Qty
from
lxm_relation r
inner join
lxm_product_sales_schedule a on r.main_id = a.id
left join
lxm_sku sku on r.sub_id = sku.barcode_id and r.data_type = 1
where a.status = 1 and a.id in (
--套餐id
)
4) 根据订单得到明细：
select item_id,qty,name from lxm_sheet_item
where sales_sheet_id = '845c7b9b-d1b0-47ff-8591-01a57b9f13c0'
5) 得到套餐的商品组合：
select s.package_name,r.id,sku.name from lxm_relation r
inner join
lxm_product_sales_schedule s on r.main_id = s.id
inner join
lxm_sku sku on r.sub_id = sku.barcode_id
where main_id = 2311171116200520
### 20240729
1) 增加表api_log,api_name
2) web.config修改配置
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