在sql server中,我们经常能用到连接,今天总结一下连接的基础知识。 连接的分类: 交叉连接 CROSS JOIN 内连接 INNER JOIN 外连接{左外连接 LEFT [OUTER] JOIN ;右外连接 RIGHT [OUTER] JOIN ;全外连接 full [outer] join } 自连接 以下通过例子来了解各
在sql server中,我们经常能用到连接,今天总结一下连接的基础知识。
连接的分类:
- 交叉连接CROSS JOIN
- 内连接INNER JOIN
- 外连接{左外连接LEFT [OUTER] JOIN ;右外连接RIGHT [OUTER] JOIN;全外连接full [outer] join}
- 自连接
以下通过例子来了解各个连接的异同点:
有两张表Teacher表和Course表:
交叉连接:
1.如果不带WHERE条件子句,它将会返回被连接的两个表的笛卡尔积,返回结果的行数等于两个表行数的乘积;
<span>select</span> <span>*</span> <span>from</span> Course <span>cross</span> <span>join</span> Teacher
结果为:
由此结果可知,它的结果与 SELECT * FROM Course,Teacher 的结果相同。
2.如果有WHERE子句的话,往往会先生成两个表行数乘积的数据表然后才根据WHERE条件从中选择。
<span>1. select</span> <span>*</span> <span>from</span> Course,Teacher <span>where</span> Course.T#<span>=</span>Teacher.T# <span>2. select</span> <span>*</span> <span>from</span> Course <span>cross</span> <span>join</span> Teacher <span>where</span> Course.T#<span>=</span>Teacher.T#<strong><span><span> (</span><span>注:cross join后加条件只能用where,不能用on)</span></span></strong> <span>3. select</span> <span>*</span> <span>from</span> Course <span>inner</span> <span>join</span> Teacher <span>on</span> Course.T#<span>=</span>Teacher.T#
结果为:
一般情况下,在效率上,Where可能具有和Inner join一样的效率,但是,在多表连接时,我们并不推荐使用where语句。
所以如果可以选择,我们最好使用语句3,有时使用Join语句可以帮助检查语句中的无效或者误写的关联条件。
内连接
内连接表示两边表同时符合条件的组合,就相当于普通的CROSS JOIN,只是格式不一样,
INNER JOIN在后面有一个ON子句(相当于WHERE)的搜索条件,用于过滤返回的行。
内连接没有笛卡尔积那么复杂要先生成行数乘积的数据表,所以内连接的效率要高于笛卡尔积的交叉连接。
外连接
指定条件的内连接,仅仅返回符合连接条件的条目。
外连接则不同,返回的结果不仅包含符合连接条件的行,而且包括左表(左外连接时),
右表(右连接时)或者两边连接(全外连接时)的所有数据行。
1)左外连接LEFT [OUTER] JOIN
显示符合条件的数据行,同时显示左边数据表不符合条件的数据行,右边没有对应的条目显示NULL。
<span>select</span> <span>*</span> <span>from</span> Course <span>left</span> <span>outer</span> <span>join</span> Teacher <span>on</span> Course.T#<span>=</span>Teacher.T#
结果为:
2)右外连接RIGHT [OUTER] JOIN
显示符合条件的数据行,同时显示右边数据表不符合条件的数据行,左边没有对应的条目显示NULL。
<span>select</span> <span>*</span> <span>from</span> Course <span>right</span> <span>outer</span> <span>join</span> Teacher <span>on</span> Course.T#<span>=</span>Teacher.T#结果为:
3)全外连接full [outer] join
显示符合条件的数据行,同时显示左右不符合条件的数据行,相应的左右两边显示NULL,即显示左连接、右连接和内连接的并集。
<span>select</span> <span>*</span> <span>from</span> Course <span>full</span> <span>outer</span> <span>join</span> Teacher <span>on</span> Course.T#<span>=</span>Teacher.T#
结果为:
自连接
其实,在Sql Server中,我们还经常用到一种连接——自连接。
通过以下的例子,来了解自连接:
表树形结构表tb_TestTreeView
解决问题: 树形层次结构显示
/*
这是一个地区表,里面存放了地区名及其所属上级地区,假设现在需要查询出各地区及其所属上级地区。
*/
自连接的方法1:
<span>select</span> <span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>地区名</span><span>'</span>, (<span>select</span> <span>[</span><span>Name</span><span>]</span> <span>from</span> tb_TestTreeView <span>as</span> a <span>where</span> a.ID <span>=</span> b.Parent ) <span>as</span> <span>'</span><span>上级地区名</span><span>'</span> <span>from</span> tb_TestTreeView <span>as</span> b
自连接的方法2:
<span>select</span> a.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>地区名</span><span>'</span>, b.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上级地区名</span><span>'</span> <span>from</span> tb_TestTreeView <span>as</span> a <span>left</span> <span>join</span> tb_TestTreeView <span>as</span> b <span>on</span> a.Parent <span>=</span> b.ID
结果为:
自连接三级(左联接):
<span>select</span> a.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>地区名</span><span>'</span>, b.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上级地区名</span><span>'</span>, c.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上上级地区名</span><span>'</span> <span>from</span> tb_TestTreeView <span>as</span> a <span>left</span> <span>join</span> tb_TestTreeView <span>as</span> b <span>on</span> a.Parent <span>=</span> b.ID <span>left</span> <span>join</span> tb_TestTreeView <span>as</span> c <span>on</span> b.parent<span>=</span>c.id
结果为:
自连接三级(内联接):
<span>select</span> a.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>地区名</span><span>'</span>, b.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上级地区名</span><span>'</span>, c.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上上级地区名</span><span>'</span> <span>from</span> tb_TestTreeView <span>as</span> a <span>inner</span> <span>join</span> tb_TestTreeView <span>as</span> b <span>on</span> a.Parent <span>=</span> b.ID <span>inner</span> <span>join</span> tb_TestTreeView <span>as</span> c <span>on</span> b.parent<span>=</span>c.id
结果为:
自连接四级(左链接):
<span>select</span> a.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>地区名</span><span>'</span>, b.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上级地区名</span><span>'</span>, c.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上上级地区名</span><span>'</span>, d.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上上上级地区名</span><span>'</span> <span>from</span> tb_TestTreeView <span>as</span> a <span>left</span> <span>join</span> tb_TestTreeView <span>as</span> b <span>on</span> a.Parent <span>=</span> b.ID <span>left</span> <span>join</span> tb_TestTreeView <span>as</span> c <span>on</span> b.parent<span>=</span>c.id <span>left</span> <span>join</span> tb_TestTreeView <span>as</span> d <span>on</span> c.parent<span>=</span>d.id
结果为:
自连接四级(内链接):
<span>select</span> a.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>地区名</span><span>'</span>, b.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上级地区名</span><span>'</span>, c.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上上级地区名</span><span>'</span>, d.<span>[</span><span>Name</span><span>]</span> <span>as</span> <span>'</span><span>上上上级地区名</span><span>'</span> <span>from</span> tb_TestTreeView <span>as</span> a <span>inner</span> <span>join</span> tb_TestTreeView <span>as</span> b <span>on</span> a.Parent <span>=</span> b.ID <span>inner</span> <span>join</span> tb_TestTreeView <span>as</span> c <span>on</span> b.Parent <span>=</span> c.ID <span>inner</span> <span>join</span> tb_TestTreeView <span>as</span> d <span>on</span> c.Parent <span>=</span> d.ID
结果为:

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

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

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software