结果1 题目以下语句错误的是(); SELECT rank, AVG(salary) FROM people HAVING AVG(salary) > 1000 GROUP BY rank; A. SELECT rank, AVG(salary) FROM people GROUP B. Y rank HAVING 相关知识点: 试题来源: 解析BD AVG(salary) > 1000 B、SELECT rank, AVG(salary) FROM people HAVING AVG(salary)...
1)months_between 两个日期之间的月分数 2)add_months 给定一个日期,为该日期增加指定月份 3)last_day 找出参数时间点所在的月份的最后一天 2.2.1 日期函数sysdate 例子:获取当前系统时间 select sysdate from dual; 2.2.2 虚表dual 虚表dual是Oracle提供的用于操作函数的方式.用于SYS用户,共享给所有用户使用 虚表...
[解析] AVG是计算列值平均值,AVG(grade)是平均成绩,GROUP BY子句用于对检索到的记录进行分组,HAVING子句用于指定组的选择条件。结果一 题目 如果对关系执行下面的SQL语句:SELECT sno,AVG(grade)AS‘平均成绩’FROM scoreGROUP BY sno HAVING AVG(grade)>=85,对此结果的正确描述是___。 A) 查找平均成绩在85分...
If you are selecting from a table rather than from a view or a materialized view, then columns that have been marked asUNUSEDby theALTERTABLESETUNUSEDstatement are not selected. See Also: ALTER TABLE,"Simple Query Examples", and"Selecting from the DUAL Table: Example " select_list Theselect...
USEAdventureWorks2022; GOSELECTAVG(UnitPrice)AS[Average Price]FROMSales.SalesOrderDetail; column_alias 可以用于 ORDER BY 子句。 但不能用于 WHERE、GROUP BY 或 HAVING 子句中。 如果查询表达式是 DECLARE CURSOR 语句的一部分,则不能在 FOR UPDATE 子句中使用 column_alias。
K. 使用 HAVING 子句 下面的第一个示例显示带聚合函数的HAVING子句。 该子句按产品 ID 将SalesOrderDetail表中的行进行分组并消除那些平均订单数量等于或小于五的产品。 第二个示例显示不带聚合函数的HAVING子句。 SQL复制 USEAdventureWorks2022; GOSELECTProductIDFROMSales.SalesOrderDetailGROUPBYProductIDHAVINGAVG(Order...
应该先选出平均年龄，然后和emp表相连。或者avg(age) > age改成 (select avg(age) from emp) > age才行。select age from emp group by age having (select avg(age) from emp) > age 或者 select age from emp, (select avg(age) as avg_age from emp) a where a.avg_age > emp...
第二個範例顯示不含彙總函式的 HAVING 子句。SQL 複製 USE AdventureWorks2022; GO SELECT ProductID FROM Sales.SalesOrderDetail GROUP BY ProductID HAVING AVG(OrderQty) > 5 ORDER BY ProductID; GO 這個查詢在 LIKE 子句中使用 HAVING 子句。SQL 複製 ...
[ ...n ] ] <query_specification> ::= SELECT [ ALL | DISTINCT ] [ TOP ( expression ) [ PERCENT ] [ WITH TIES ] ] <select_list> [ INTO new_table ] [ FROM { <table_source> } [ , ...n ] ] [ WHERE <search_condition> ] [ <GROUP BY> ] [ HAVING <search_condition> ] ...
9. [FROM table_references 1. [PARTITION partition_list]] 11. [WHERE where_condition] 12. [GROUP BY {col_name | expr | position}, ... [WITH ROLLUP]] 13. [HAVING where_condition] 14. [WINDOW window_name AS (window_spec) 15. [, window_name AS (window_spec)] ...] ...