1、查询dept表的结构 在命令窗口输入:desc dept; 2、检索dept表中的所有列信息 select * from dept 3、检索emp表中的
1、查询dept表的结构
在命令窗口输入:desc dept;
2、检索dept表中的所有列信息
select * from dept
3、检索emp表中的员工姓名、月收入及部门编号
select ename "员工姓名",sal "月收入",empno "部门编号" from emp
4、检索emp表中员工姓名、及雇佣时间 日期数据的默认显示格式为“DD-MM-YY",如果希望使用其他显示格式(YYYY-MM-DD),那么必须使用TO_CHAR函数进行转换。
select ename "员工姓名", hiredate "雇用时间1",to_char(hiredate,'YYYY-MM-DD') "雇用时间2" from emp
注意:第一个时间是日期类型的,在Oracle的查询界面它的旁边带有一个日历。第二个时间是字符型的。不要将YYYY-MM-DD使用双引号
5、使用distinct去掉重复行。
检索emp表中的部门编号及工种,并去掉重复行。
select distinct deptno "部门编号",job "工种" from emp order by deptno
6、使用表达式来显示列 检索emp表中的员工姓名及全年的月收入
select ename "员工姓名", (sal+nvl(comm,0))*12 "全年收入" from emp 注意:防止提成comm为空的操作,使用nvl函数
7、使用列别名 用姓名显示员工姓名,用年收入显示全年月收入。
select ename "员工姓名",sal*12 "全年收入" from emp
8、连接字符串
在oracle中连接字符串用“||”操作符来完成的,当连接字符串时,如果在字符串要加入数字值 那么在“||”后可以直接指定数字,如果在字符串加入字符和日期值,则必须要用单引号。
检索emp表,,用is a 这个字符串来连接员工姓名和工种两个字段
select ename||' is a '||job "他们各自的职位"from emp 注意:用的是单引号!!!
9、使用WHERE子句
检索月收入大于2000的员工姓名及月收入。
select ename "姓名" ,sal "月薪"from emp where sal>2000
检索月收入在1000元到2000元的员工姓名、月收入及雇佣时间。
select ename "姓名" ,sal "月薪",hiredate "雇佣时间" from emp where sal between 1000 and 2000
10、like的用法:
检索以S开头的员工姓名及月收入。
select ename "员工姓名",sal "月收入" from emp where ename like 'S%'
检索员工姓名中的第三个字符是A的员工姓名及月收入。
select ename "员工姓名",sal "月收入" from emp where ename like '__A%'
11、在WHERE条件中使用IN操作符
检索emp表中月收入是800的或是1250的员工姓名及部门编号
select ename "姓名",deptno "部门编号",sal "工资" from emp where sal in(800,1250) 注意:IN的意思是或者。是800或者1250而不是表示范围
12、在WHERE条件中使用逻辑操作符(AND、OR、NOT)
显示在部门20中岗位CLERK的所有雇员信息
select * from emp where deptno='20' and job='CLERK'
显示工资高于2500或岗位为MANAGER的所有雇员信息
select * from emp where sal>'2500' or job='MANAGER' 注意:在where里面的条件都是使用的单引号
13、查询表中是空值的数据
检索emp表中有提成的员工姓名、月收入及提成。
select ename "姓名",comm "提成",sal "工资" from emp where comm is not null
14、使用ORDER BY子句,进行排序。
检索emp表中部门编号是30的员工姓名、月收入及提成,并要求其结果按月收入升序、然后按提成降序显示。
select ename "姓名",comm "提成",sal "工资" from emp where deptno='30' order by sal asc,comm desc
15、查询工资大于1200的员工姓名和工资
select ename "姓名",sal "工资" from emp where sal>1200
16、查询员工号为7934的员工的姓名和部门号
select ename "姓名",deptno "部门编号" from emp where empno='7934'
17、选择工资不在5000到12000的员工的姓名和工资
select ename "姓名",sal "工资" from emp where sal not between 5000 and 12000 注意:不是 is not
18、选择雇用时间在1981-02-01到1981-05-01之间的员工姓名,职位(job)和雇用时间,按从早到晚排序.
select ename "姓名",job "职位",hiredate "雇佣时间" from emp where hiredate between to_date('1981-02-01','YYYY-MM-DD') and to_date('1981-05-01','YYYY-MM-DD') order by hiredate asc
19、选择在20或10号部门工作的员工姓名和部门号
select ename "姓名",deptno "部门号" from emp where deptno in (20,10)
20、选择在1987年雇用的员工的姓名和雇用时间
select ename "姓名",hiredate "雇佣时间" from emp where to_char(hiredate,'YYYY')='1987'
取出雇用时间的年份且转换为字符形式;然后与'1987'比较
select ename "姓名",hiredate "雇佣时间" from emp where to_char(hiredate,'MM')='04'
select ename "姓名",hiredate "雇佣时间" from emp where to_char(hiredate,'MM')='4' 前者是可以的,后者不可以

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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