无详细内容 无 --1列出emp表中各部门的部门号,最高工资,最低工资--先分组,后计算,SELECT e.deptno AS 部门号, MAX(e.sal) AS 最高工资, MIN(e.sal) AS 最低工资 FROM emp AS e GROUP BY e.deptno;--2 列出emp表中各部门job为'CLERK'的员工的最低工资,最
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--1列出emp表中各部门的部门号,最高工资,最低工资 --先分组,后计算, SELECT e.deptno AS 部门号, MAX(e.sal) AS 最高工资, MIN(e.sal) AS 最低工资 FROM emp AS e GROUP BY e.deptno; --2 列出emp表中各部门job为'CLERK'的员工的最低工资,最高工资 SELECT MIN(e.sal) AS 最低工资 , MAX(e.sal) FROM emp AS e WHERE e.job='CLERK' GROUP BY e.deptno; --3 对于emp中最低工资小于2000的部门,列出job为'CLERK'的员工的部门号,最低工资,最高工资 SELECT e.deptno AS 部门号, MIN(e.sal) AS 最低工资 , MAX(e.sal) AS 最高工资 FROM emp AS e WHERE e.job ='CLERK' AND (SELECT MIN(b.sal) FROM emp b) <2000 GROUP BY e.deptno; --4 根据部门号由高而低,工资有低而高列出每个员工的姓名,部门号,工资 SELECT e.ename AS 姓名 ,e.deptno AS 部门号, e.sal AS 工资 FROM emp AS e ORDER BY e.deptno DESC ,e.sal --5 列出'buddy'所在部门中每个员工的姓名与部门号 SELECT e.ename AS 姓名, e.deptno AS 部门号 FROM emp AS e WHERE e.deptno =(SELECT b.deptno FROM emp AS b WHERE b.ename='buddy'); --6 列出每个员工的姓名,工作,部门号,部门名 SELECT e.ename 姓名, e.job AS 工作 , e.deptno AS 部门号 FROM emp AS e , dept AS d WHERE e.deptno=d.deptno ; --7列出emp中工作为'CLERK'的员工的姓名,工作,部门号,部门名 SELECT e.ename AS 姓名, e.job AS 工作 ,d.dname AS 部门名 FROM emp AS e , dept AS d WHERE e.deptno =d.deptno AND e.job='CLERK'; --8对于emp中有管理者的员工,列出姓名,管理者姓名(管理者外键为mgr) SELECT a.deptno AS 部门号,a.ename AS 员工,b.ename AS 管理者 FROM emp AS a,emp AS b WHERE a.mgr IS NOT NULL AND a.mgr=b.ename; --9 对于dept表中,列出所有部门名,部门号,同时列出各部门工作为'CLERK'的员工名与工作 SELECT d.dname AS 部门名, d.deptno AS 部门号 ,e.ename AS 姓名 , e.job AS 工作 FROM dept AS d ,emp AS e WHERE e.deptno =d.deptno AND e.job='CLERK'; --10 对于工资高于本部门平均水平的员工,列出部门号,姓名,工资,按部门号排序 SELECT e.deptno AS 部门号,e.ename AS 姓名, e.sal AS 工资 FROM emp AS e WHERE e.sal >(SELECT AVG(el.sal) FROM emp AS el WHERE el.deptno=e.deptno) ORDER BY e.deptno; --11对于emp,列出各个部门中工资高于本部门平均工资的员工数和部门号,按部门号排序 SELECT COUNT(e.sal) AS 员工数,e.deptno AS 部门号 FROM emp AS e WHERE e.sal >(SELECT AVG(el.sal) FROM emp AS el WHERE e.deptno =el.deptno) GROUP BY e.deptno ORDER BY e.deptno; --12对于emp中工资高于本部门平均水平,人数多与1人的,列出部门号,人数,平均工资,按部门号排序 SELECT COUNT(a.empno) AS 员工数,a.deptno AS 部门号,AVG(sal) AS 平均工资 FROM emp AS a WHERE (SELECT COUNT(c.empno) FROM emp AS c WHERE c.deptno=a.deptno AND c.sal>(SELECT AVG(sal) FROM emp AS b WHERE c.deptno=b.deptno))>1 GROUP BY a.deptno ORDER BY a.deptno;

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

The steps to build a MySQL database include: 1. Create a database and table, 2. Insert data, and 3. Conduct queries. First, use the CREATEDATABASE and CREATETABLE statements to create the database and table, then use the INSERTINTO statement to insert the data, and finally use the SELECT statement to query the data.

MySQL is suitable for beginners because it is easy to use and powerful. 1.MySQL is a relational database, and uses SQL for CRUD operations. 2. It is simple to install and requires the root user password to be configured. 3. Use INSERT, UPDATE, DELETE, and SELECT to perform data operations. 4. ORDERBY, WHERE and JOIN can be used for complex queries. 5. Debugging requires checking the syntax and use EXPLAIN to analyze the query. 6. Optimization suggestions include using indexes, choosing the right data type and good programming habits.

MySQL is suitable for beginners because: 1) easy to install and configure, 2) rich learning resources, 3) intuitive SQL syntax, 4) powerful tool support. Nevertheless, beginners need to overcome challenges such as database design, query optimization, security management, and data backup.

Yes,SQLisaprogramminglanguagespecializedfordatamanagement.1)It'sdeclarative,focusingonwhattoachieveratherthanhow.2)SQLisessentialforquerying,inserting,updating,anddeletingdatainrelationaldatabases.3)Whileuser-friendly,itrequiresoptimizationtoavoidper

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.


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