sql server 行转列
看了这个需求同事表示很麻烦,列是动态的,多一天多一个订单类型就多一列,我看了下,这不是sql行转列的节奏么。这个还真没搞过。大家pp这个设计是否合理:
1、模拟数据
2、确定思路,网上看了下动态sql实现,自己想了想好像还需要祭出游标神器,一番调式成功了。没有性能问题啊,呵呵,交货了。跟同事说了下思路,他表示看不惯游标里面嵌套游标。好吧,你自己实现吧,偶是有经验的运用游标,不是乱用,爱用不用。呵呵...
USE [SK_WMS_DB] GO /****** Object: StoredProcedure [dbo].[sp_warehouse_sum_byOrderDate] Script Date: 01/15/2014 17:16:50 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER PROC [dbo].[sp_warehouse_sum_byOrderDate] AS BEGIN declare @sql varchar(max) declare @v_order_flag varchar(10) declare @v_dt Date declare @v_report_columnName varchar(60) --订单类型临时表 SELECT distinct [OrderFlag] INTO #OrderFlag_Info FROM [SK_WMS_DB].[dbo].[Table_Report_Test] ORDER BY [OrderFlag] DESC --订单日期临时表 SELECT distinct OrderDT INTO #OrderDT_Info FROM [SK_WMS_DB].[dbo].[Table_Report_Test] ORDER BY OrderDT --表头临时表 SELECT CAST(NULL AS DATE) ORDER_DT, CAST ('' AS varchar(60)) AS REP_COL_NAME, CAST ('' AS varchar(10)) AS OrderFlag INTO #REPORT_COLUMN declare cur_order_flag cursor for select OrderFlag from #OrderFlag_Info open cur_order_flag fetch next from cur_order_flag into @v_order_flag --根据订单类型生成列名 while @@FETCH_STATUS = 0 begin declare cur_OrderDT cursor for select OrderDT from #OrderDT_Info open cur_OrderDT fetch next from cur_OrderDT into @v_dt --日期+订单类型 while @@FETCH_STATUS = 0 begin INSERT INTO #REPORT_COLUMN select @v_dt, CAST(substring(CONVERT(char(10),@v_dt,102),6,5)+ @v_order_flag as varchar(60)), @v_order_flag fetch next from cur_OrderDT into @v_dt end close cur_OrderDT deallocate cur_OrderDT INSERT INTO #REPORT_COLUMN select '1901-01-01',CAST(RTRIM(LTRIM(@v_order_flag))+'小计' as varchar(60)),@v_order_flag fetch next from cur_order_flag into @v_order_flag end close cur_order_flag deallocate cur_order_flag declare @colText varchar(max) declare cur_tbl cursor for SELECT REP_COL_NAME FROM #REPORT_COLUMN WHERE ORDER_DT IS NOT NULL --返回结果临时表 SELECT CAST ('' AS VARCHAR(255)) AS 仓库名称, CAST ('' AS VARCHAR(255)) AS 库内区域名称, CAST ('' AS VARCHAR(255)) AS 物料号码, CAST ('' AS VARCHAR(255)) AS 品名, CAST ('' AS VARCHAR(255)) AS 包装 INTO #Result_Report --循环增加列 open cur_tbl fetch next from cur_tbl into @v_report_columnName while @@FETCH_STATUS = 0 begin SET @colText = RTRIM(LTRIM(@v_report_columnName)) SET @sql = 'ALTER TABLE #Result_Report ADD ['+@colText+'] [numeric](18, 2) default 0' EXEC(@sql) fetch next from cur_tbl into @v_report_columnName end close cur_tbl deallocate cur_tbl --清空临时表记录 DELETE FROM #Result_Report --开始准备数据,每个仓库循环一次 declare @WareHouse varchar(60) declare @qty numeric(18,2) declare cur_data_fill cursor for SELECT distinct [WareHouseName] FROM [SK_WMS_DB].[dbo].[Table_Report_Test] --填充记录 open cur_data_fill fetch next from cur_data_fill into @WareHouse while @@FETCH_STATUS = 0 begin insert into #Result_Report (仓库名称,库内区域名称,物料号码,品名,包装) select @WareHouse,'' 库内区域名称,'' 物料号码,'' 品名,'' 包装 declare cur_sum_qty cursor for SELECT REP_COL_NAME,ORDER_DT,OrderFlag FROM #REPORT_COLUMN WHERE ORDER_DT IS NOT NULL open cur_sum_qty fetch next from cur_sum_qty into @v_report_columnName,@v_dt,@v_order_flag while @@FETCH_STATUS = 0 begin IF @v_dt <> '1901-01-01' SELECT @qty = isnull(SUM(t.Qty),0) FROM dbo.Table_Report_Test t WHERE t.WareHouseName = @WareHouse AND t.OrderDT = @v_dt AND t.OrderFlag = @v_order_flag ELSE SELECT @qty = isnull(SUM(t.Qty),0) FROM dbo.Table_Report_Test t WHERE t.WareHouseName = @WareHouse AND t.OrderFlag = @v_order_flag SELECT @sql = 'UPDATE #Result_Report SET ['+LTRIM(RTRIM(@v_report_columnName))+'] = '+CAST(@qty AS VARCHAR) + ' WHERE 仓库名称 = '''+@WareHouse+'''' EXEC(@sql) fetch next from cur_sum_qty into @v_report_columnName,@v_dt,@v_order_flag end close cur_sum_qty deallocate cur_sum_qty fetch next from cur_data_fill into @WareHouse end close cur_data_fill deallocate cur_data_fill --返回结果集 SELECT * FROM #Result_Report END
3、成果:
写在这里自己备忘,也给同行看看还有更好的方法不,可以随便喷...
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"作者:" 数据酷软件工作室
"出处:" http://datacool.cnblogs.com
"专注于CMS(综合赋码系统),MES,WCS(智能仓储设备控制系统),WMS,商超,桑拿、餐饮、客房、足浴等行业收银系统的开发,15年+从业经验。因为专业,所以出色。"
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"作者:" 数据酷软件工作室
"出处:" http://datacool.cnblogs.com
"专注于CMS(综合赋码系统),MES,WCS(智能仓储设备控制系统),WMS,商超,桑拿、餐饮、客房、足浴等行业收银系统的开发,15年+从业经验。因为专业,所以出色。"
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