这些列分别对应于 Transact-SQL 定义中的 pivot_column 和 value_column。 查询如下。 SQL 复制 -- Create the table and insert values as portrayed in the previous example. CREATE TABLE pvt ( VendorID INT, Emp1 INT, Emp2 INT, Emp3 INT, Emp4 INT, Emp5 INT); GO INSERT INTO pvt VALUES ...
We then set the query variable to the SELECT query that does the pivot. This is almost the same as the earlier example, with the only difference being the usage of the cols variable instead of specifying the values of North, South, Central, and West. The Execute command will run the que...
The MySQL database does not support the SQLPIVOToperator. To create SQL pivot tables in MySQL, you must use theCASEstatement with conditional aggregation.For example, the query below will create a pivot table to aggregate the data by the sum of sales for different years, grouped and ordered ...
PIVOT在行转列的时候经常用到,最便捷的方式就是通过示例来理解它的作用。 示例1 Query to Return Select Product Data from AdventureWorks View Code 结果: 如果我们想要product_coor 在列里面显示每个产品的数量呢?这时候PIVOT就出场了 示例2:Common Use of PIVOT to Report on Products by Color View Code 结果...
pivot 可以在其他剩余的列的值上执行聚合函数。 unpivot 将列转换为列值 语法 代码语言:javascript 代码运行次数:0 运行 AI代码解释 SELECT<non-pivoted column>,[first pivoted column]AS<column name>,[second pivoted column]AS<column name>,...[last pivoted column]AS<column name>FROM(<SELECTquery that ...
使用衍生資料表、資料列集、資料表值函數或運算子子句 (例如 PIVOT 或 UNPIVOT) 時,子句尾端所需的 table_alias 是所傳回之所有資料行 (包括群組資料行) 的相關資料表名稱。 WITH ( ) 指定查詢最佳化工具必須搭配這份資料表,並針對這個陳述式來使用最佳化或鎖定策略。 如需詳細資訊,請參閱資料表提示 (Transac...
pivot (AVG(score)forstudentIdin([001],[002],[003],[004]) )aspivotTable 3.效果 示例2:unpivot 1.数据准备 --Create the table and insert values as portrayed in the previous example.CREATETABLEpvt (VendorIDint, Emp1int, Emp2int,
将调用Employee包含要旋转的列值的列值(Emp1Emp2等等),并调用Orders保存当前存在于要旋转的列下的值的列。 这些列分别对应于 Transact-SQL 定义中的 pivot_column 和 value_column。 查询如下。 SQL -- Create the table and insert values as portrayed in the previous example.CREATETABLEpvt ( VendorIDINT,...
If you run the same PIVOT query, you’ll get this result. In this example, I’ve used a second table called cust_sales_category and reduced the number of customers.. SELECT*FROMcust_sales_categoryPIVOT(SUM(sale_amount)FORcustomer_idIN(1,2,3,4)); ...
SELECT*FROM(SELECTCustomerID,ProductID,QuantityFROMOrders)ASSourceTablePIVOT(SUM(Quantity)FORProductID...