There are three methods for multi-table query, which are: 1. Traditional method, including left outer join query, right outer join query, and complete outer link query; 2. Subquery method, including single row query and multi-row query. Query; 3. Aggregation query methods, including summation, average query, and total number of records.
There are three methods for multi-table query, namely:
1. Traditional method
/*-- 传统连接方式 --*/ select e.ename,d.dname from dept d , emp e where d.deptno = e.deptno /*--natural join 两张表中只有一个同名栏位时行连接 --*/ select e.ename,d.dname from dept d natural join emp e /*--using 两个表中有多个同名栏位时 --*/ select e.ename,d.dname from dept d join emp e using(deptno)
1. Left outer join query
/*--左外连结 左表的全部记录(部门表中的所有记录:demp)-- */ /*--方式1--*/ select e.ename,d.dname from dept d left outer join emp e on d.deptno = e.deptno /*--方式2--*/ select e.ename,d.dname from dept d , emp e where d.deptno = e.deptno(+)
2. Right outer join query
/*--左外连结 左表的全部记录(部门表中的所有记录:demp)-- */ /*--方式1--*/ select e.ename,d.dname from dept d left outer join emp e on d.deptno = e.deptno /*--方式2--*/ select e.ename,d.dname from dept d , emp e where d.deptno = e.deptno(+)
3. Complete outer link query
/*--完全外连结(匹配与不匹配)-- (包括部门表及员工表中的所有记录)*/ select e.ename,d.dname from dept d full outer join emp e on d.deptno = e.deptno
2. Sub-query (single or multiple rows)
1. Single-row query
/*--子查询(单行,多行)--*/ select * from emp where sal > (select avg(sal) from emp) /*--单行子查询可以引用(=,>,>=,<,<=,<>)操作符 --*/ select * from emp e where e.deptno=(select d.deptno from dept d where d.deptno=1 )
2. Multi-row query
/*--多行子查询可以引用(in,any,all)操作符--*/ select * from emp e where e.deptno in(select d.deptno from dept d) /*-- any 比较返回值中的任何一个,其中一个满足,则返回true --*/ select * from emp e where e.sal < any(select sal from emp where deptno=2) /*-- all 比较返回值中的所有,全部满足,则返回true --*/ select * from emp e where e.sal < all(select sal from emp where deptno=2)
3. Aggregation query (sum, average, total number of records)
1. Sum, average query
/*--求和,平均 --*/ select sum(sal),avg(sal) from emp select avg(nvl(sal,0)) from emp
2. Total number of records
/*--记录总数 --*/ select count(*) from emp select count(memo) from emp /*--统计该栏非空记录 --*/ select count(distinct(sex)) from emp /*--去掉重复记录 --*/ /*-- group by --*/ select e.deptno,sum(e.sal) from emp e group by e.deptno /*-- group by having --*/ select e.deptno,avg(e.sal) from emp e group by e.deptno having avg(e.sal) > 4500
Related learning recommendations: mysql video tutorial
The above is the detailed content of There are several ways to query multiple tables. For more information, please follow other related articles on the PHP Chinese website!

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


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

SublimeText3 English version
Recommended: Win version, supports code prompts!

Dreamweaver Mac version
Visual web development tools

Zend Studio 13.0.1
Powerful PHP integrated development environment

SublimeText3 Mac version
God-level code editing software (SublimeText3)

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function