1.数据准备 --Create the table and insert values as portrayed in the previous example.CREATETABLEpvt (VendorIDint, Emp1int, Emp2int, Emp3int, Emp4int, Emp5int);GOINSERTINTOpvtVALUES(1,4,3,5,4,4);INSERTINTOpvtVALUES(2,4,1,5,5,5);INSERTINTOpvtVALUES(3,4,3,5,4,4);INSERTINTOpv...
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,...
Hopefully the example above will bring clarity for pivoting on two or more fields. It should be considered whether to transform the data in SQL Server or the client, as there are tradeoffs to each approach. The PIVOT function would likely have a performance impact on the query based on ...
从SQL中可以看出PIVOT有两个步骤 An aggregate function, which will aggregate if multiple values exist. In the initial SELECT statement that returns product data, there were many duplicate rows. This example uses SUM whenever this occurs, which will add up product quantities if there are multiple ro...
...unpivot 将列转换为列值 语法 SELECT , [first pivoted column] AS ,...[last pivoted column]) ) AS pivot table> ; 示例1:pivot 1.数据准备...示例2:unpivot 1.数据准备 -- Create the table and insert values as portrayed in the previous example...2.使用示例 -- Unpivot the table. ...
MySQL Pivot table tool can transpose rows to columns with simple drag-and-drop function ➦ Check how to simplify data management by pivot generator!
big, you will not have a problem using them. The sorting process takes a lot of resources. An alternative is to use FOR XML PATH with the STUFF function. The following article, will provide you some tips about this topic:Using FOR XML PATH and STRING_AGG() to denormalize SQL Server ...
FOR store_location IN ('+@cols+') ) AS pivot_table ';EXECUTE(@query); What does this code do? We declare two variables: one to contain column values, and another to contain the query. We set the cols variable to the result of the STUFF function. This function will get the distinct...
(<SELECTquery that produces the data>)AS<aliasforthe source query>PIVOT(<aggregationfunction>(<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<aliasforthe pivot table>...
(<SELECT query that produces the data>)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 ...