MySQL - 子查询
MySQL 子查询,也称为内部查询或嵌套查询,是位于另一个查询中的查询。它允许您根据另一个查询的结果从一个或多个表中检索数据。子查询可用于 SQL 语句的各个部分,包括 SELECT、INSERT、UPDATE 和 DELETE。
SELECT 语句中的子查询
SELECT 语句中的子查询用于根据从子查询检索到的值过滤主查询的结果。
语法
以下是 SELECT 语句中子查询的基本语法 -
SELECT column1, column2, ... FROM table1 WHERE columnN operator (SELECT column_name FROM table2 WHERE condition);
示例
首先,让我们使用以下查询创建一个名为 CUSTOMERS 的表 -
CREATE TABLE CUSTOMERS( ID INT NOT NULL, NAME VARCHAR(20) NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(25) NOT NULL, SALARY DECIMAL(18, 2), PRIMARY KEY(ID) );
现在,让我们使用 INSERT 语句将值插入到上面创建的表中,如下所示 -
INSERT INTO CUSTOMERS VALUES (1, 'Ramesh', 32, 'Ahmedabad', 2000.00 ), (2, 'Khilan', 25, 'Delhi', 1500.00 ), (3, 'kaushik', 23, 'Kota', 2000.00 ), (4, 'Chaitali', 25, 'Mumbai', 6500.00 ), (5, 'Hardik', 27, 'Bhopal', 8500.00 ), (6, 'Komal', 22, 'Hyderabad', 4500.00 ), (7, 'Muffy', 24, 'Indore', 10000.00 );
显示的 CUSTOMERS 表如下所示 -
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.00 |
2 | Khilan | 25 | Delhi | 1500.00 |
3 | Kaushik | 23 | Kota | 2000.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
5 | Hardik | 27 | Bhopal | 8500.00 |
6 | Komal | 22 | Hyderabad | 4500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
以下查询从 CUSTOMERS 表中检索所有 ID 与同一表中的 ID 匹配的客户的工资 -
SELECT SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS);
输出
上述查询的输出如下所示 -
SALARY |
---|
2000.00 |
1500.00 |
2000.00 |
6500.00 |
8500.00 |
4500.00 |
10000.00 |
使用 INSERT 语句的子查询
我们也可以在 MySQL 的 INSERT 语句中使用子查询。INSERT 语句将使用子查询返回的数据插入到另一个表中。
语法
以下是 INSERT 语句中子查询的基本语法 -
INSERT INTO target_table (column1, column2, ...) SELECT source_column1, source_column2, ... FROM source_table WHERE condition;
示例
在使用 INSERT 语句执行子查询之前,让我们创建一个名为"CUSTOMERS_BKP"的表,其结构与 CUSTOMERS 表类似 -
CREATE TABLE CUSTOMERS_BKP( ID INT NOT NULL, NAME VARCHAR(20) NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(25) NOT NULL, SALARY DECIMAL(18, 2), PRIMARY KEY(ID) );
现在,我们使用以下查询将 CUSTOMERS 表中的所有记录插入到 CUSTOMERS_BKP 表中 -
INSERT INTO CUSTOMERS_BKP SELECT * FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS);
输出
CUSTOMERS 表的记录已成功插入到 CUSTOMERS_BKP 表中 -
Query OK, 7 rows affected (0.01 sec) Records: 7 Duplicates: 0 Warnings: 0
验证
我们使用以下 SELECT 语句验证 CUSTOMERS_BKP 表是否有记录 -
SELECT * FROM CUSTOMERS_BKP;
如下表所示,CUSTOMERS 表中的所有记录都已插入到 CUSTOMERS_BKP 表中 -
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.00 |
2 | Khilan | 25 | Delhi | 1500.00 |
3 | Kaushik | 23 | Kota | 2000.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
5 | Hardik | 27 | Bhopal | 8500.00 |
6 | Komal | 22 | Hyderabad | 4500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
带比较运算符的子查询
带比较运算符的 MySQL 子查询允许我们在查询内部使用一个查询,并使用比较运算符将其结果与外部查询进行比较。
语法
以下是带比较运算符的子查询的基本语法 -
SELECT column_name [, column_name ] FROM table1 [, table2 ] WHERE column_name OPERATOR (SELECT column_name [, column_name ] FROM table1 [, table2 ] [WHERE] .....)
示例
以下查询从表 CUSTOMERS_BKP 中检索所有年龄大于 23 的客户,并返回他们的ID。
SELECT * FROM CUSTOMERS_BKP WHERE ID IN (SELECT ID FROM CUSTOMERS_BKP WHERE AGE > 23);
输出
上述查询的输出如下所示 -
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
2 | Khilan | 25 | Delhi | 1500.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
带有 IN 或 NOT-IN 运算符的子查询
带有 IN/NOT-IN 运算符的 MySQL 子查询用于根据一个查询中的值是否与另一个查询中的值匹配来过滤数据 -
IN 匹配列表中的任意值
NOT-IN 排除列表中的任意值。
示例
以下查询通过将 ADDRESS 不是"Hyderabad"的记录与 CUSTOMERS_BKP 表中的地址进行比较,检索 CUSTOMERS 表中所有 ADDRESS 不是"Hyderabad"的记录 -
SELECT * FROM CUSTOMERS WHERE ADDRESS NOT IN ( SELECT ADDRESS FROM CUSTOMERS_BKP WHERE ADDRESS = "Hyderabad");
输出
以下是上述查询的输出 -
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.00 |
2 | Khilan | 25 | Delhi | 1500.00 |
3 | Kaushik | 23 | Kota | 2000.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
5 | Hardik | 27 | Bhopal | 8500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
示例
现在,以下查询将检索 CUSTOMERS 表中 ADDRESS 为"Hyderabad"的所有行,方法是使用子查询从 CUSTOMERS_BKP 表中获取所有与"Hyderabad"匹配的地址 -
SELECT * FROM CUSTOMERS WHERE ADDRESS IN ( SELECT ADDRESS FROM CUSTOMERS_BKP WHERE ADDRESS = "Hyderabad");
输出
执行给定查询后,输出显示如下 -
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
6 | Komal | 22 | Hyderabad | 4500.00 |
使用客户端程序的子查询
我们也可以使用客户端程序执行子查询。
语法
要通过 PHP 程序使用子查询获取数据,我们需要使用 mysqli 函数 query() 执行"SELECT"语句,如下所示 -
$sql = "SELECT ID, NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS WHERE SALARY > 2000)"; $mysqli->query($sql);
要通过 JavaScript 程序使用子查询获取数据,我们需要使用 mysql2 库的 query() 函数执行"SELECT"语句,如下所示 -
sql = "SELECT NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS WHERE SALARY > 2000)"; con.query(sql);
要通过 Java 程序使用子查询获取数据,我们需要使用 JDBC 函数 executeQuery() 执行"SELECT"语句,如下所示 -
String sql = "SELECT ID, NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS WHERE SALARY > 2000)"; statement.executeQuery(sql);
要通过 Python 程序使用子查询获取数据,我们需要使用 MySQL Connector/Python 的 execute() 函数执行"SELECT"语句,如下所示 -
sub_query = "SELECT SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS)" cursorObj.execute(sql)
示例
以下是程序 -
$dbhost = 'localhost'; $dbuser = 'root'; $dbpass = 'password'; $db = 'TUTORIALS'; $mysqli = new mysqli($dbhost, $dbuser, $dbpass, $db); if ($mysqli->connect_errno) { printf("Connect failed: %s
", $mysqli->connect_error); exit(); } //printf('Connected successfully.
'); $sql = "SELECT ID, NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS WHERE SALARY > 2000)"; printf("Table records: "); if($result = $mysqli->query($sql)){ while($row = mysqli_fetch_array($result)){ printf("Id: %d, NAME: %s, AGE: %d, ADDRESS: %s, SALARY: %f", $row['ID'], $row['NAME'], $row['AGE'], $row['ADDRESS'], $row['SALARY']); printf(" "); } } if($mysqli->error){ printf("Error message: ", $mysqli->error); } $mysqli->close();
输出
获得的输出如下所示 -
Table records: Id: 4, NAME: Chaitali, AGE: 25, ADDRESS: Mumbai, SALARY: 6500.000000 Id: 5, NAME: Hardik, AGE: 27, ADDRESS: Bhopal, SALARY: 8500.000000 Id: 6, NAME: Komal, AGE: 22, ADDRESS: Hyderabad, SALARY: 4500.000000 Id: 7, NAME: Muffy, AGE: 24, ADDRESS: Indore, SALARY: 10000.000000
NodeJS program var mysql = require('mysql2'); var con = mysql.createConnection({ host:"localhost", user:"root", password:"password" }); //连接到 MySQL con.connect(function(err) { if (err) throw err; // console.log("Connected successfully...!"); // console.log("--------------------------"); sql = "USE TUTORIALS"; con.query(sql); //create table sql = "SELECT NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS WHERE SALARY > 2000)"; con.query(sql, function(err, result){ console.log("Subquery executed successfully...!"); console.log("Table records: ") if (err) throw err; console.log(result); }); });
输出
获得的输出如下所示 -
Subquery executed successfully...! Table records: [ { NAME: 'Chaitali', AGE: 25, ADDRESS: 'Mumbai', SALARY: '6500.00' }, { NAME: 'Hardik', AGE: 27, ADDRESS: 'Bhopal', SALARY: '8500.00' }, { NAME: 'Komal', AGE: 22, ADDRESS: 'Hyderabad', SALARY: '4500.00' }, { NAME: 'Muffy', AGE: 24, ADDRESS: 'Indore', SALARY: '10000.00' } ]
import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.Statement; public class SubQuery { public static void main(String[] args) { String url = "jdbc:mysql://localhost:3306/TUTORIALS"; String user = "root"; String password = "password"; ResultSet rs; try { Class.forName("com.mysql.cj.jdbc.Driver"); Connection con = DriverManager.getConnection(url, user, password); Statement st = con.createStatement(); //System.out.println("Database connected successfully...!"); //create table String sql = "SELECT ID, NAME, AGE, ADDRESS, SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS WHERE SALARY > 2000)"; rs = st.executeQuery(sql); System.out.println("Table records: "); while(rs.next()) { String id = rs.getString("id"); String name = rs.getString("name"); String age = rs.getString("age"); String address = rs.getString("address"); String salary = rs.getString("salary"); System.out.println("Id: " + id + ", Name: " + name + ", Age: " + age + ", Address: " + address + ", Salary: " + salary); } }catch(Exception e) { e.printStackTrace(); } } }
输出
获得的输出如下所示 -
Table records: Id: 4, Name: Chaitali, Age: 25, Address: Mumbai, Salary: 6500.00 Id: 5, Name: Hardik, Age: 27, Address: Bhopal, Salary: 8500.00 Id: 6, Name: Komal, Age: 22, Address: Hyderabad, Salary: 4500.00 Id: 7, Name: Muffy, Age: 24, Address: Indore, Salary: 10000.00
import mysql.connector #建立连接 connection = mysql.connector.connect( host='localhost', user='root', password='password', database='tut' ) cursorObj = connection.cursor() # 子查询获取 ID 存在于同一个表中的所有客户的工资 sub_query = f""" SELECT SALARY FROM CUSTOMERS WHERE ID IN (SELECT ID FROM CUSTOMERS); """ cursorObj.execute(sub_query) # 获取所有符合条件的行 filtered_rows = cursorObj.fetchall() for row in filtered_rows: print(row) cursorObj.close() connection.close()
输出
获得的输出如下所示 -
(Decimal('2000.00'),) (Decimal('1500.00'),) (Decimal('2000.00'),) (Decimal('6500.00'),) (Decimal('8500.00'),) (Decimal('4500.00'),) (Decimal('10000.00'),)