This article gives you a summary of the commonly used operators and the usage and examples of common functions in mysql. It is very comprehensive. Friends in need can refer to it
Let’s look at an example first
use test; create table `employee`( emp_no int unsigned, emp_name varchar(30), emp_sex varchar(3), emp_age tinyint unsigned, sal double, history datetime ); insert into employee values(1, '张三', '男', 18, 5000, '2012-04-23'), (2, '李四', '男', 27, 4500, '2013-05-23'), (3, '王五', '男', 23, 4700, '2012-04-21'), (4, '子龙', '男', 19, 3800, '2011-03-04'), (5, '李白', '男', 15, 6200, '2015-09-09'), (6, '刘备', '男', 28, 2500, '2016-02-11'), (7, '吕布', '男', 21, 6000, '2010-10-18'), (8, '尚香', '女', 16, 4500, '2011-09-26'), (9, '小乔', '女', 15, null, '2013-07-05'), (10, '大乔', '女', 16, 5000, '2017-09-01');
Commonly used operators:
1: equal to (=)
select * from employee where sal = 3800; select * from employee where sal = null; --这里查询不到为null的数据
2: equal to ( )
##
select * from employee where sal <=> 3800; select * from employee where sal <=> null; --这里可以查询到为null的数据3: is judge(null)
select * from employee where sal is null; select * from employee where sal is not null;4: You can also use isnull() for null value judgment;
select * from employee where isnull(sal); select * from employee where !isnull(sal);5: Within the interval (between) between min and max ps: Here is a Closed interval
select * from employee where sal between 4500 and 5000;6: Not within the interval
select * from employee where sal not between 4500 and 5000; --null不为包括进去7: and and or
select * from employee where sal not between 4500 and 5000 or sal is null; select * from employee where sal = 4500 and emp_sex = '女';8: Less than (), Less than or equal to (=)
select * from employee where sal >= 4500;
**** *************************************************** *************************************************** *******<span style="font-family: " microsoft yahei sans gb helvetica neue tahoma arial sans-serif></span><br>
1: rand();
select rand() from dual; --dual是一个伪表 select 1+1 from dual; select rand(); --可以简写2: least(value1, value2, ...) returns the minimum value
select least(54,76,4,65,76,87,87,56,65,654,45,23,1,76); select least(54,76,4,65,76,87,87,56,65,654,45,23,1,76) as min_value; --列名可以起一个别名3: greatest(value1, value2, ...) returns the maximum Value
select greatest(54,76,4,65,76,87,87,56,65,654,45,23,1,76);4: round(M, D); Returns the rounded value of M. D indicates how many decimal places to retain. The default value is 0
select round(1.69); select round(1.69, 1);5: abs() absolute value
select 5-10; select abs(5-10);**************** *************************************************** *********************************************
Summary function
select * from employee where sal >= 6000; select avg(sal) from employee where sal >= 6000;2: count()
select count(*) from employee; select count(emp_name) from employee; select count(sal) from employee; --打印9 这里会忽略null值 select count(*) from employee where sal >= 4000; select count(*) from employee where sal <= 4000 or sal is null;3: sum()
select sum(sal) from employee where sal >= 6000;4: min()
select min(sal) from employee;5: max ()
select max(sal) from employee;****************************************** *************************************************** ***********************
Date function
select now(), sysdate(), current_timestamp(); select now(6), sysdate(6), current_timestamp(6); ps: now(), current_timestamp();没有区别, 表示sql开始执行时的时间 sysdate()表示这个函数开始时间2: Get the current date
select curdate(); --只有年月日3: Get the current time
select curtime(); --只有时分秒4: Date addition operation date_add
select history, date_add(history, interval '1 12:10' day_minute) from employee; --date_add(history, interval '1 12:10' day_minute) select history, date_add(history, interval '1-1' year_month) from employee; --date_add(history, interval '1-1' year_month) select history, date_add(history, interval '1' second) from employee; --date_add(history, interval '1' second)5: Date subtraction operation data_sub
select history, date_sub(history, interval '1-1' year_month) from employee;6: Calculate date difference
select history, sysdate(), datediff(sysdate(), history) from employee; --以天数来表示7: Get the specified part of the date (convert the date to the specified format) date_format()
select history, date_format(history, '%Y年%m月%d号') from employee; select history, date_format(history, '%d号') from employee; select history, date_format(history, '%Y年%m月%d号 %H时%i分%s秒') from employee;8: Calculate the day of the week for a date
select history, dayname(history) from employee;9: Chinese date string conversion date str_to_date()
insert into employee values(11, '张飞', '男', 22, 3000, '2017年02月01号'); --报错 insert into employee values(11, '张飞', '男', 22, 3000, str_to_date('2017年02月01号', '%Y年%m月%d号 %H时%i分%s秒'));insert into employee values(12, 'Second brother', 'Male', 22, 3000, str_to_date('February 01, 2017, 23:02:02', '%Y year %m month %d number %H hour %i minute %s seconds'));
insert into employee values(12, 'Second brother', 'Male', 22, 3000, str_to_date('February 01, 2017 11:02:02', '%Y Year %m month %d %h hour %i minute %s second'));
ps: If it is h, it means 12 hours, if it is a big H, it means 24 hours;
String function
select left('abcdefg', 5);2: length()
select length('abcdefg');3: lower(str) returns the lowercase string str
select lower('HELLO');4: substring() takes the substring, the second parameter is the intercepted starting point The starting position, the third parameter is the length to be intercepted
select substring('helloworld',2,3);5: concat() string splicing
select concat(emp_name, '员工') from employee;6: replace(replace
select replace(emp_name, '李', '老') from employee where emp_name = '李四';
The above is the detailed content of Summary of Mysql operators and functions. For more information, please follow other related articles on the PHP Chinese website!

The steps to create and manage user accounts in MySQL are as follows: 1. Create a user: Use CREATEUSER'newuser'@'localhost'IDENTIFIEDBY'password'; 2. Assign permissions: Use GRANTSELECT, INSERT, UPDATEONmydatabase.TO'newuser'@'localhost'; 3. Fix permission error: Use REVOKEALLPRIVILEGESONmydatabase.FROM'newuser'@'localhost'; then reassign permissions; 4. Optimization permissions: Use SHOWGRA

MySQL is suitable for rapid development and small and medium-sized applications, while Oracle is suitable for large enterprises and high availability needs. 1) MySQL is open source and easy to use, suitable for web applications and small and medium-sized enterprises. 2) Oracle is powerful and suitable for large enterprises and government agencies. 3) MySQL supports a variety of storage engines, and Oracle provides rich enterprise-level functions.

The disadvantages of MySQL compared to other relational databases include: 1. Performance issues: You may encounter bottlenecks when processing large-scale data, and PostgreSQL performs better in complex queries and big data processing. 2. Scalability: The horizontal scaling ability is not as good as Google Spanner and Amazon Aurora. 3. Functional limitations: Not as good as PostgreSQL and Oracle in advanced functions, some functions require more custom code and maintenance.

MySQL supports four JOIN types: INNERJOIN, LEFTJOIN, RIGHTJOIN and FULLOUTERJOIN. 1.INNERJOIN is used to match rows in two tables and return results that meet the criteria. 2.LEFTJOIN returns all rows in the left table, even if the right table does not match. 3. RIGHTJOIN is opposite to LEFTJOIN and returns all rows in the right table. 4.FULLOUTERJOIN returns all rows in the two tables that meet or do not meet the conditions.

MySQL's performance under high load has its advantages and disadvantages compared with other RDBMSs. 1) MySQL performs well under high loads through the InnoDB engine and optimization strategies such as indexing, query cache and partition tables. 2) PostgreSQL provides efficient concurrent read and write through the MVCC mechanism, while Oracle and Microsoft SQLServer improve performance through their respective optimization strategies. With reasonable configuration and optimization, MySQL can perform well in high load environments.

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.


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

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

WebStorm Mac version
Useful JavaScript development tools

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Notepad++7.3.1
Easy-to-use and free code editor