4.5 PIVOT 4.6 WHERE和HAVING筛选结果 4.7 ORDER BY 排序 4. Select查询 4.1 查询基础知识 查询是对存储在 SQL Server 中的数据的一种请求。可以使用下列几种形式发出查询: MS Query 或 Microsoft Access 用户可使用图形用户界面 (GUI) 从一个或多个 SQL Server 表中选择想要查看的数据。
下面是一个示例表:( FirstName varchar(255),DECLARE @DynamicPivotQuery AS NVARCHAR(MAX), @PivotColumnNames AS NVARCHAR(count(City) for City in (' + @PivotColumnNames + ')) as pvt 浏览9提问于2017-08-03得票数 2 回答已采纳 2回答 不带动态SQL的sql pivot 、、 我希望在具有动态透视表列的sq...
PIVOT 和 UNPIVOT 操作符的语法如下: SELECT * FROM table_source PIVOT ( aggregate_function(aggregated_column) FOR pivot_column IN ( [column_name], ...) ) AS alias; SELECT * FROM table_source UNPIVOT ( value_column FOR pivot_column IN ( [column_name], ...) ) AS alias; 1. 2. 3. ...
AS <alias for the source query> PIVOT ( <aggregation function>(<column being aggregated>) FOR [<column that contains the values that will become column headers>] IN ( [first pivoted column], [second pivoted column], ... [last pivoted column]) ) AS <alias for the pivot table> <optiona...
PIVOT ( SUM(Score/*行转列后 列的值*/) FOR p.Subject/*需要行转列的列*/ IN ([语文],[数学],[英语],[生物]/*列的值*/) ) AS T 执行结果: 二、列转行 1、测试数据准备 CREATE TABLE ProgrectDetail ( ProgrectName NVARCHAR(20), --工程名称 ...
) AS <alias for the pivot table> 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 其中, 是不需要进行透视的列,[first pivoted column]、[second pivoted column] 等是需要进行透视的列, 是透视后新表格的列名, 是聚合函数,用于将多行数据聚合成一行数据, 是需要进行聚合的列,[]...
So in my big stupid query, I wrote 4 queries. Each one returns result like: Then I used “UNION ALL” to combine all the records andpivot tableto display the sum of the count. Like this: PIVOT(COUNT(Type)FORTypeIN([Number_of_patients],[Number_of_abnormal_labs],[Number_of_critical_...
QuantityFROMOrders)ASSourceTablePIVOT(SUM(Quantity)FORProductIDIN([1],[2],[3]))ASPivotTable;...
使用PIVOT 运算符 创建动态透视表 总结 大家好,我是只谈技术不剪发的 Tony 老师。数据透视表(Pivot Table)是 Excel 中一个非常实用的分析功能,可以用于实现复杂的数据分类汇总和对比分析,是数据分析师和运营人员必备技能之一。前文已经介绍了 MySQL/MariaDB 和 Oracle 中的数据透视表实现,今天我们来谈谈如何在 Micr...
AS<alias for the source query>PIVOT(<aggregation function>(<column being aggregated>)FOR<column that contains the values that become column headers>IN(<first pivoted column>,<second pivoted column>, ...<last pivoted column>) )AS<alias for the pivot table>[<optional ORDER BY clause>] [ ;...