Question

我有一个巨大的SQL，其结果类似于Table1。现在我需要将结果集作为Table2。这是来自SQL Server，但我们没有DB访问作为典型的方式，而是我们有一个内部工具，我们可以提交＆＃39;选择＆＃39; SQL语句，它将使用数据集转储excel文件。如何以table2格式获得结果？

注意：由于工具的性质，我们只能使用SQL命令，不能创建StoredProcedure，View等。

我们可以这样做吗？

SELECT 'Columns' From (Original SQL command) WHERE xxx GROUPBY YYY

表1

IDNameKey       |ID     |Name   |Location       |Type   |Active
================|=======|=======|===============|=======|=====
111             |11     |AAA    |LocA           |Type1  |No
222             |22     |BBB    |LocB           |Type2  |Yes
333             |33     |CCC    |LocA           |Type4  |No
444             |11     |AAA    |LocC           |Type2  |Yes
555             |55     |EEE    |LocB           |Type4  |No
666             |22     |BBB    |LocB           |Type2  |Yes

表2（预期方式）

ID      |Name   |Location |Type   |Active Count(Yes)  |Inactive Count(No)
========|=======|=========|=======|===================|=================
11      |AAA    |LocA     |Type1  |1                  |1
22      |BBB    |LocB     |Type2  |2                  |0
33      |CCC    |LocA     |Type4  |0                  |1
55      |EEE    |LocB     |Type4  |0                  |1

Answer 1

使用条件和

public ADALTokenCache(string signedInUserId)
{ 
    // associate the cache to the current user of the web app
    userId = signedInUserId;
    this.AfterAccess = AfterAccessNotification;
    this.BeforeAccess = BeforeAccessNotification;
    this.BeforeWrite = BeforeWriteNotification;
    // look up the entry in the database
    Cache = db.UserTokenCacheList.FirstOrDefault(c => c.webUserUniqueId == userId);
    // place the entry in memory
    this.Deserialize((Cache == null) ? null : MachineKey.Unprotect(Cache.cacheBits,"ADALCache"));
}

Answer 2

对于初学者来说，给它一个旋转......

SELECT ID, Nave, Location, Type, 
   SUM(CASE Active WHEN 'Yes' THEN 1 WHEN 'No' THEN 0 END) as [Active Count(Yes)],
   SUM(CASE Active WHEN 'No' THEN 1 WHEN 'Yes' THEN 0 END) as [Inactive Count(No)]
FROM Table1
GROUP BY ID, Nave, Location, Type

有关CASE块的代码和图片密集型教程，请查看我的文章SQL Server CASE Solutions

SQL：如何将列值聚合并填充为新列

2 个答案: