动态透视表
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2022-05-14 12:10:06
前几天一直练习PIVOT透视,还实现了动态透视的存过程《动态透视表》https://www.cnblogs.com/insus/p/10888277.html 今天练习MS SQL Server逆透视的功能。 首先准备一些可以逆透视的数据: IF OBJECT_ID('tempdb.dbo.#Par ......
前几天一直练习pivot透视,还实现了动态透视的存过程《动态透视表》
今天练习ms sql server逆透视的功能。
首先准备一些可以逆透视的数据:
if object_id('tempdb.dbo.#part_summary') is not null drop table #part_summary create table #part_summary ( [item] nvarchar(40), [b]decimal(18,2), [q]decimal(18,2), [s]decimal(18,2), [t]decimal(18,2), [u]decimal(18,2) ) insert into #part_summary ([item],[b],[q],[s],[t],[u]) values ('098-ssss1-ws0098-5526',0,0,500.00,0,0), ('54f-art43-6545nn-2514',0,0,934.39,0,0), ('872-rtde3-q459pw-2323',0,0,0,452.44,0), ('b78-f1h2y-5456ud-2530',0,0,0,115.06,0), ('i32-gg443-qt0098-0001',0,0,423.65,0,0), ('i38-aa321-ws0098-0506',470.87,0,0,0,0), ('k38-12321-5456ud-3493',200.28,0,0,0,0), ('po0-7g7g7-jjy098-0077',0,871.33,0,0,0), ('rvc-43ase-h43qww-9753',0,0,0,0,555.19), ('x3c-sdewe-3er808-8764',0,607.88,0,0,0) select [item],[b],[q],[s],[t],[u] from #part_summary
下面是insus.net实现unpivot的代码:
select [item] ,[category] ,[qty] from #part_summary unpivot ( [qty] for [category] in ([b],[q],[s],[t],[u]) ) as [unpivot table] where [qty] > 0
以上是以手动实现逆透视。如果想实现动态逆透视。可以参考下面的存储过程:
set ansi_nulls on go set quoted_identifier on go -- ============================================= -- author: insus.net -- create date: 2019-05-20 -- update date: 2019-05-20 -- description: 动态逆透视 create procedure [dbo].[usp_dynamic_unpivot] ( @table_name sysname, --透视的表名 @common_column sysname, --常规共用列名 @unpivot_column sysname, --逆透视列名 @sum_column sysname, --计和的列名 @comma_delimited_column_names nvarchar(max) ) as begin declare @sql as nvarchar(max) = n' select '+ @common_column +' ,'+ @unpivot_column +' ,[qty] from '+ @table_name +' unpivot ( '+ @sum_column +' for '+ @unpivot_column +' in ('+ @comma_delimited_column_names +') ) as [unpivot table] where '+ @sum_column +' > 0' execute sp_executesql @sql end go
怎样使用这个存储过程呢,参考下面参数传入方法:
重复一下,存储过程的参数说明如下:
@table_name sysname, --透视的表名 @common_column sysname, --常规共用列名 @unpivot_column sysname, --逆透视列名 @sum_column sysname, --计和的列名 @comma_delimited_column_names nvarchar(max)
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