SQL数据透视表不将结果放在一行中

问题描述 投票：1回答：5

我试图在SQL中创建一个数据透视表。我的结果并没有像我希望的那样整合到每个TID的一行上。这个例子应该让我的问题清楚：

    Results:

    TID NS_AM   AS_AM   NS_DB   AS_DB
    TID 1a  971     947     
    TID 2   807     974     
    TID 1a                  954     910
    TID 2                   931     904


    Desired Results:

    TID     NS_AM   AS_AM   NS_DB   AS_DB
    TID 1a  971     947     954     910
    TID 2   807     974     931     904

编辑：这是从一个大型动态查询派生而来的。我无法提出这个问题，因为这会让问题变得非常混乱。我必须使用pivot / unpivot。

任何帮助将不胜感激。下面是示例数据和生成结果的查询。

正如您所看到的，AM项目正在一条线上进行整合，而DB项目正在一条线上进行整合，但它们并未按照我的预期报告所有结果。

            drop table if exists  mock_data;
             create table MOCK_DATA (
                tid VARCHAR(50),
                plantype VARCHAR(50),
                ns VARCHAR(50),
                [as] VARCHAR(50)
            );
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'DB', '112', '048');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'DB', '142', '889');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'DB', '887', '668');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'DB', '093', '910');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'DB', '954', '266');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'DB', '822', '201');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '234', '083');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '527', '716');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '662', '168');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '795', '947');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '971', '588');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '755', '234');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '199', '603');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '164', '362');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '943', '462');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '971', '164');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '594', '822');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '467', '478');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '064', '591');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 1a', 'AM', '639', '298');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '186', '797');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '226', '369');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '036', '272');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '807', '197');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '167', '402');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '477', '047');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '262', '974');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '268', '282');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'AM', '508', '069');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '303', '528');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '747', '325');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '293', '614');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '886', '221');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '652', '365');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '931', '904');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '089', '662');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '922', '497');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '722', '328');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '386', '324');
            insert into MOCK_DATA (tid, plantype, ns, [as]) values ('TID 2', 'DB', '402', '552');



            SELECT [TID],
                   IsNull([NS_AM], '') AS [NS_AM],
                   IsNull([AS_AM], '') AS [AS_AM] 
            FROM
            (
                SELECT [TID],
                       [PlanType],
                       col+'_'+CAST(PlanType AS VARCHAR(50)) col,
                       value
                FROM
            (
                SELECT PlanType,
                       [TID],
                       CAST(NS AS VARCHAR(100)) AS NS,
                       CAST(AS AS VARCHAR(100)) AS AS 

                FROM #temp
            ) s UNPIVOT(value FOR col IN(NS,
                                         AS )) unpiv
            ) src PIVOT(MAX(value) FOR col IN([NS_AM],
                                              [AS_AM], 
                                              [NS_DB],
                                              [AS_DB] 

             )) p;

非常感谢你提前。

sql sql-server pivot unpivot
5个回答
2
投票

使用CROSS TABS可以非常简单，而不是对数据进行取消和旋转。

SELECT TID, 
       MAX( CASE WHEN PlanType = 'AM' THEN [ns] END) AS NS_AM,
       MAX( CASE WHEN PlanType = 'AM' THEN [as] END) AS AS_AM,
       MAX( CASE WHEN PlanType = 'DB' THEN [ns] END) AS NS_DB,
       MAX( CASE WHEN PlanType = 'DB' THEN [as] END) AS AS_DB
FROM MOCK_DATA
GROUP BY TID;

如果您想使用动态代码，那么转换并不难。它只是您需要处理的每个列的复制粘贴编辑问题，代码将根据需要为植物类型添加尽可能多的值。

DECLARE @SQL nvarchar(MAX)

SELECT @SQL = N'SELECT TID' + CHAR(10) 
            + ( SELECT DISTINCT REPLACE( REPLACE(
                        CHAR(9) + ',MAX( CASE WHEN PlanType = <<quotedplantype>> THEN [ns] END) AS NS_<<plantype>>' + CHAR(10)
                      + CHAR(9) + ',MAX( CASE WHEN PlanType = <<quotedplantype>> THEN [as] END) AS AS_<<plantype>>' + CHAR(10)
                        , '<<quotedplantype>>', QUOTENAME(plantype, '''')), '<<plantype>>', plantype)
            FROM MOCK_DATA
            FOR XML PATH(''), TYPE).value('./text()[1]', 'varchar(max)') + 
           + N'FROM MOCK_DATA' + NCHAR(10)
           + N'GROUP BY TID;'

EXEC sp_executesql @SQL /*, @params_def, @param1, @param2,..., @paramN*/;
1
投票

尝试在PIVOT / UNPIVOT表达式中添加“按TID排序”。

1
投票

Null用作替代品（作为一些缺失值的大型随机数），这也是它如此独特的原因。但是这里聚合函数会忽略空值，除非按照标准计算，尽管你也可以使用min和max进行检查

你可以有一个group by并采取min/max如果我的假设只有空值不同如上

  Select TID, min(NS_AM),  min( AS_AM),   
   min(NS_DB),  min(AS_DB) Group by 
    TID.
1
投票

你可以通过如下方式进行内部连接来获得所需的数据，而无需使用数据透视！

select v1.tid,v1.m_ns[Ns_Am],v1.m_as[As_Am],v2.m_ns[NS_DB],V2.m_As[AS_DB] from(
select tid,plantype,max(ns)[m_ns],max([as]) [m_as]  from MOCK_DATA group by tid,plantype) v1
inner join
(select tid,plantype,max(ns)[m_ns],max([as]) [m_as]  from MOCK_DATA group by tid,plantype)v2
on v1.tid=v2.tid and v1.plantype='Am' and  v2.plantype='DB'

enter image description here

你也可以使用这个动态的脚本（给我一些时间，我会为你做的！）

select v1.tid,v1.[am] [ns_am],v1.[db][ns_db],v2.[am] [as_am],v2.[db][as_db] from
(select * from(
select tid,ns,[PlanType] from MOCK_DATA) s
pivot
(max(ns) for [PlanType] in ([AM],[DB])  )s
) v1
inner join
(
select * from(
select tid,[as],[PlanType] from MOCK_DATA) s
pivot
(max([as]) for [PlanType] in ([AM],[DB])  )s) v2

on v1.tid=v2.tid
1
投票

这是一个动态解决方案，承诺使用游标，而不是连接它将动态列添加到最终表并更新游标循环内的数据

IF EXISTS(SELECT 1 FROM sysobjects where name='myMOCK_DATA') drop table myMOCK_DATA
create table myMOCK_DATA (tid varchar(10));insert into  myMOCK_DATA(tid) select distinct(tid) from MOCK_DATA
declare mycursor cursor for
select tid,plantype,max(ns)[m_ns],max([as])[m_as] from MOCK_DATA group by tid,plantype
declare @plantype as varchar(2);declare @tid as varchar(10);declare @m_ns as int;declare @m_as as int
declare @script as varchar(max);open mycursor
fetch mycursor into @tid,@plantype,@m_ns,@m_as
while @@fetch_status=0
begin
set @script='IF not EXISTS(SELECT 1 FROM sys.columns  WHERE Name = ''NS_'+@plantype +''' AND Object_ID = Object_ID(N''myMOCK_DATA''))
BEGIN
    alter table myMOCK_DATA add NS_'+@plantype +' integer
END'
print @script;exec(@script)
set @script='IF not EXISTS(SELECT 1 FROM sys.columns 
          WHERE Name = ''AS_'+@plantype + ''' AND Object_ID = Object_ID(N''myMOCK_DATA''))
BEGIN
    alter table myMOCK_DATA add AS_'+@plantype +' integer
END'
print @script;exec(@script)
set @script='update myMOCK_DATA set NS_'+@plantype+'='+convert(varchar(10),@m_ns)+ ' where tid='''+@tid+''''
print @script;exec(@script)
set @script='update myMOCK_DATA set AS_'+@plantype+'='+convert(varchar(10),@m_as)+ ' where tid='''+@tid+''''
print @script;exec(@script)
fetch mycursor into @tid,@plantype,@m_ns,@m_as
end
close mycursor
deallocate mycursor
select * from myMOCK_DATA

enter image description here

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