In mysql, you can call another table expression in a table expression. This called table expression is called a subquery (subquery) statement, also called a subselect (subselect) or an inline selection ( inner select). The results of the subquery are passed to the table expression that called it for further processing.
Subquery classification
1. Classification by returned result set
Subqueries are divided into four types according to the returned result sets: table subquery, row subquery, column subquery and scalar subquery.
Table subquery: The returned result set is a set of rows, N rows and N columns (N>=1). Table subqueries are often used in the FROM clause of a parent query.
Row subquery: The returned result set is a set of columns, one row with N columns (N>=1). Row subqueries can be used in the FROM clause and WHERE clause of a query.
Column subquery: The returned result set is a set of rows, with N rows and one column (N>=1).
Scalar subquery: The returned result set is a scalar set, one row and one column, which is a scalar value. Anywhere you can specify a scalar expression, you can use a scalar subquery.
By definition, each scalar subquery is also a row subquery and a column subquery, but not vice versa; each row subquery and column subquery is also a table subquery, Nor vice versa.
2. According to the calling method of the returned result
Subquery can be divided into where type subquery and from type subquery according to the calling method of the returned result set. and exists type subquery.
Where type subquery: (use the inner query result as the comparison condition of the outer query)
Definition: where type subquery uses the inner query result as the outer query Query conditions.
from type subquery: (the inner query result is provided for the outer query again)
Definition: from subquery is to treat the result of the subquery (a table in memory) as Make a temporary table and then process it.
Exists subquery: (Get the outer query results to the inner layer to see if the inner query is true)
Definition: The exists subquery is to loop through the outer table, and then The inner table performs inner query. Similar to in (), but they are still different. It mainly depends on the size difference between the two tables. If the subquery table is large, use exists (inner index), and if the subquery table is small, use in (outer index);
Use the subquery principle
1. A subquery must be placed in parentheses.
2. Place the subquery to the right of the comparison condition to increase readability.
The subquery does not contain an ORDER BY clause. Only one ORDER BY clause can be used with a SELECT statement, and if specified it must be placed at the end of the main SELECT statement.
3. Two comparison conditions can be used in subqueries: single-line operators (>, =, >=, ,
Instance analysis
1. Create a test table
CREATE TABLE PLAYERS (PLAYERNO INTEGER NOT NULL, NAME CHAR(15) NOT NULL, INITIALS CHAR(3) NOT NULL, BIRTH_DATE DATE , SEX CHAR(1) NOT NULL, JOINED SMALLINT NOT NULL, STREET VARCHAR(30) NOT NULL, HOUSENO CHAR(4) , POSTCODE CHAR(6) , TOWN VARCHAR(30) NOT NULL, PHONENO CHAR(13) , LEAGUENO CHAR(4) , PRIMARY KEY (PLAYERNO)); CREATE TABLE PENALTIES (PAYMENTNO INTEGER NOT NULL, PLAYERNO INTEGER NOT NULL, PAYMENT_DATE DATE NOT NULL, AMOUNT DECIMAL(7,2) NOT NULL, PRIMARY KEY (PAYMENTNO));
Note: Table Players is a basic table of player information, and penalties is a list of players with fine records.
2. Insert test data
INSERT INTO PLAYERS VALUES (2, 'Everett', 'R', '1948-09-01', 'M', 1975, 'Stoney Road','43', '3575NH', 'Stratford', '070-237893', '2411'); INSERT INTO PLAYERS VALUES (6, 'Parmenter', 'R', '1964-06-25', 'M', 1977, 'Haseltine Lane','80', '1234KK', 'Stratford', '070-476537', '8467'); INSERT INTO PLAYERS VALUES (7, 'Wise', 'GWS', '1963-05-11', 'M', 1981, 'Edgecombe Way','39', '9758VB', 'Stratford', '070-347689', NULL); INSERT INTO PLAYERS VALUES (8, 'Newcastle', 'B', '1962-07-08', 'F', 1980, 'Station Road','4', '6584WO', 'Inglewood', '070-458458', '2983'); INSERT INTO PLAYERS VALUES (27, 'Collins', 'DD', '1964-12-28', 'F', 1983, 'Long Drive','804', '8457DK', 'Eltham', '079-234857', '2513'); INSERT INTO PLAYERS VALUES (28, 'Collins', 'C', '1963-06-22', 'F', 1983, 'Old Main Road','10', '1294QK', 'Midhurst', '010-659599', NULL); INSERT INTO PLAYERS VALUES (39, 'Bishop', 'D', '1956-10-29', 'M', 1980, 'Eaton Square','78', '9629CD', 'Stratford', '070-393435', NULL); INSERT INTO PLAYERS VALUES (44, 'Baker', 'E', '1963-01-09', 'M', 1980, 'Lewis Street','23', '4444LJ', 'Inglewood', '070-368753', '1124'); INSERT INTO PLAYERS VALUES (57, 'Brown', 'M', '1971-08-17', 'M', 1985, 'Edgecombe Way','16', '4377CB', 'Stratford', '070-473458', '6409'); INSERT INTO PLAYERS VALUES (83, 'Hope', 'PK', '1956-11-11', 'M', 1982, 'Magdalene Road','16A', '1812UP', 'Stratford', '070-353548', '1608'); INSERT INTO PLAYERS VALUES (95, 'Miller', 'P', '1963-05-14', 'M', 1972, 'High Street','33A', '5746OP', 'Douglas', '070-867564', NULL); INSERT INTO PLAYERS VALUES (100, 'Parmenter', 'P', '1963-02-28', 'M', 1979, 'Haseltine Lane','80', '6494SG', 'Stratford', '070-494593', '6524'); INSERT INTO PLAYERS VALUES (104, 'Moorman', 'D', '1970-05-10', 'F', 1984, 'Stout Street','65', '9437AO', 'Eltham', '079-987571', '7060'); INSERT INTO PLAYERS VALUES (112, 'Bailey', 'IP', '1963-10-01', 'F', 1984, 'Vixen Road','8', '6392LK', 'Plymouth', '010-548745', '1319'); INSERT INTO PENALTIES VALUES (1, 6, '1980-12-08',100); INSERT INTO PENALTIES VALUES (2, 44, '1981-05-05', 75); INSERT INTO PENALTIES VALUES (3, 27, '1983-09-10',100); INSERT INTO PENALTIES VALUES (4,104, '1984-12-08', 50); INSERT INTO PENALTIES VALUES (5, 44, '1980-12-08', 25); INSERT INTO PENALTIES VALUES (6, 8, '1980-12-08', 25); INSERT INTO PENALTIES VALUES (7, 44, '1982-12-30', 30); INSERT INTO PENALTIES VALUES (8, 27, '1984-11-12', 75);
3. Table subquery example
For example: Get males with numbers less than 10 Player’s number
mysql> select playerno from ( select playerno, sex from players where playerno < 10) as players10 where sex='M';
##4. Row subquery example
For example: Get the same gender as player No. 100 and live in the same place City's player number.mysql> select playerno from players where (sex, town) = ( select sex, town from players where playerno = 100);
5 Scalar subquery example
Almost anywhere a scalar expression can be specified, a scalar subquery can be used. For example: Get the number of the player who was born in the same year as player No. 27mysql> select playerno from players where year(birth_date) = (select year(birth_date) from players where playerno = 27) and playerno <> 27;
mysql> select playerno from players where year(birth_date) = 1964 and playerno <> 27;
6 Column subquery example
Since the result set returned by the column subquery is N rows and one column, you cannot directly use = > = These comparison scalar results operator. IN, ANY (SOME) and ALL operators can be used in column subqueries: IN: Within the specified item, the same as IN (item 1, item 2,...).ANY:与比较操作符联合使用,ANY关键字必须接在一个比较操作符的后面,表示与子查询返回的任何值比较为 TRUE ,则返回 TRUE 。
SOME:ANY 的别名,较少使用。
ALL:与比较操作符联合使用,ALL关键字必须接在一个比较操作符的后面,表示与子查询返回的所有值比较都为 TRUE ,则返回 TRUE 。
实例1(in):获取球员性别为女的所有球员的球员号,名字及所在城市。
mysql> select playerno, name, town from players where playerno in (select playerno from players where sex = 'F');
实例2(any):获取至少比同城的另一球员年轻的所有球员的号码,日期和居住城市。
mysql> select playerno, birth_date, town from players as p1 where birth_date > any (select birth_date from players as p2 where p1.town = p2.town);
实例3(all):获取最老球员的号码,名字及生日。(即出生日期数值小于或等于所有其它球员的球员)
mysql> select playerno, name, birth_date from players where birth_date <= all (select birth_date from players);
7、exists型子查询
EXISTS关键字表示存在。使用EXISTS关键字时,内层查询语句不返回查询的记录,而是返回一个真假值,如果内层查询语句查询到满足条件的记录,只要子查询中至少返回一个值,则EXISTS语句的值就为True。就返回true,否则返回false。当返回的值为true时,外层查询语句将进行查询,否则不进行查询。NOT EXISTS刚好与之相反。exists的用法和in ()差不多,但是它们还是有区别的。主要是看两个张表大小差的程度。若子查询表大则用exists(内层索引),子查询表小则用in(外层索引);
实例1(exists):获取那些至少支付了一次罚款的球员的名字和首字母。
mysql> select name, initials from players where exists (select * from penalties where playerno = players.playerno);
实例2(not exists):获取那些从来没有罚款的球员的名字和首字母。
mysql> select name, initials from players where not exists (select * from penalties where playerno = players.playerno);
推荐教程:mysql视频教程
The above is the detailed content of What does mysql sub-conditional query statement mean?. For more information, please follow other related articles on the PHP Chinese website!

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.

SQL commands in MySQL can be divided into categories such as DDL, DML, DQL, DCL, etc., and are used to create, modify, delete databases and tables, insert, update, delete data, and perform complex query operations. 1. Basic usage includes CREATETABLE creation table, INSERTINTO insert data, and SELECT query data. 2. Advanced usage involves JOIN for table joins, subqueries and GROUPBY for data aggregation. 3. Common errors such as syntax errors, data type mismatch and permission problems can be debugged through syntax checking, data type conversion and permission management. 4. Performance optimization suggestions include using indexes, avoiding full table scanning, optimizing JOIN operations and using transactions to ensure data consistency.

InnoDB achieves atomicity through undolog, consistency and isolation through locking mechanism and MVCC, and persistence through redolog. 1) Atomicity: Use undolog to record the original data to ensure that the transaction can be rolled back. 2) Consistency: Ensure the data consistency through row-level locking and MVCC. 3) Isolation: Supports multiple isolation levels, and REPEATABLEREAD is used by default. 4) Persistence: Use redolog to record modifications to ensure that data is saved for a long time.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

InnoDB effectively prevents phantom reading through Next-KeyLocking mechanism. 1) Next-KeyLocking combines row lock and gap lock to lock records and their gaps to prevent new records from being inserted. 2) In practical applications, by optimizing query and adjusting isolation levels, lock competition can be reduced and concurrency performance can be improved.


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

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

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

SublimeText3 Chinese version
Chinese version, very easy to use

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