本篇文章为大家展示了使用SpringBoot2.X怎么对Redis框架进行整合，内容简明扼要并且容易理解，绝对能使你眼前一亮，通过这篇文章的详细介绍希望你能有所收获。
一、使用Spring Initializr创建项目web项目
1、File→New→Project
2、点击Next如图所示，命名好Group和Artifact
3、Next后如图所示，勾选中需要的依赖，Spring Initializr会自动导入所需的starter
4、创建项目成功后，pom.xml文件中的依赖如下
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.2.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <groupId>com.heny</groupId> <artifactId>spring-boot-redis</artifactId> <version>0.0.1-SNAPSHOT</version> <name>spring-boot-redis</name> <description>Demo project for Spring Boot</description> <properties> <java.version>1.8</java.version> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>2.1.1</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> <exclusions> <exclusion> <groupId>org.junit.vintage</groupId> <artifactId>junit-vintage-engine</artifactId> </exclusion> </exclusions> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> </build> </project>
5、在pom.xml文件中添加redis的starter
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency>
6、创建JavaBean用于封装数据库数据，需要实现Serializable
package com.henya.springboot.bean;
import java.io.Serializable;
public class Employee implements Serializable{
private Integer id;
private String lastName;
private String email;
private Integer gender; //性别 1男 0女
private Integer dId;
public Employee() {
super();
}
public Employee(Integer id, String lastName, String email, Integer gender, Integer dId) {
super();
this.id = id;
this.lastName = lastName;
this.email = email;
this.gender = gender;
this.dId = dId;
}
public Integer getId() {
return id;
}
public void setId(Integer id) {
this.id = id;
}
public String getLastName() {
return lastName;
}
public void setLastName(String lastName) {
this.lastName = lastName;
}
public String getEmail() {
return email;
}
public void setEmail(String email) {
this.email = email;
}
public Integer getGender() {
return gender;
}
public void setGender(Integer gender) {
this.gender = gender;
}
public Integer getdId() {
return dId;
}
public void setdId(Integer dId) {
this.dId = dId;
}
@Override
public String toString() {
return "Employee [id=" + id + ", lastName=" + lastName + ", email=" + email + ", gender=" + gender + ", dId="
+ dId + "]";
}
}注意：
在写JavaBean对象时需要实现Serializable接口否则会报以下错误：
Cannot deserialize; nested exception is org.springframework.core.serializer.support.SerializationFailedException
7、整合Mybatis操作数据库，在application.properties配置文件中配置数据源信息
#serverTimezone用于指定时区，不然会报错 spring.datasource.url=jdbc:mysql://localhost:3306/cache?serverTimezone=UTC spring.datasource.username=root spring.datasource.password=123456 # 开启驼峰命名法规则 mybatis.configuration.map-underscore-to-camel-case=true #日志级别 logging.level.com.henya.springboot.mapper=debug
8、使用注解版Mybatis创建Mapper
package com.henya.springboot.mapper;
import com.henya.springboot.bean.Employee;
import org.apache.ibatis.annotations.*;
@Mapper
public interface EmployeeMapper {
@Select("SELECT * FROM employee WHERE id=#{id}")
public Employee getEmpById(Integer id);
@Update("UPDATE employee SET lastName=#{lastName},email=#{email},gender=#{gender},d_id=#{dId} WHERE id=#{id}")
public void updateEmp(Employee employee);
@Delete("DELETE FROM emlpoyee WHERE id=#{id}")
public void delEmpById(Integer id);
@Insert("INSERT INTO employee(lastName, email, gender, d_id) VALUES (#{lastName}, #{email}, #{gender}, #{dId})")
public Employee insertEmp(Employee employee);
@Select("SELECT * FROM employee WHERE lastName=#{lastName}")
public Employee getEmpByLastName(String lastName);
}注意：
需要使用使用@MapperScan注解扫描Mapper所在的接口，只需要加在主程序类上即可。除此之外，还要使用@EnableCaching用于开启缓存。
@MapperScan("com.henya.springboot.mapper")
@SpringBootApplication
@EnableCaching //开启缓存
public class SpringBootRedisApplication {
public static void main(String[] args) {
SpringApplication.run(SpringBootRedisApplication.class, args);
}
}9、编写Service类，用于访问数据库或redis缓存
package com.henya.springboot.service;
import com.henya.springboot.bean.Employee;
import com.henya.springboot.mapper.EmployeeMapper;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.*;
import org.springframework.stereotype.Service;
@CacheConfig(cacheNames = "emp") //抽取缓存的公共配置
@Service
public class EmployeeService {
@Autowired
EmployeeMapper employeeMapper;
/**
* @param id
* @return
*/
@Cacheable(cacheNames = {"emp"},keyGenerator = "myKeyGenerator")
public Employee getEmpById(Integer id) {
System.err.println("开始查询"+ id +"号员工");
Employee employee = employeeMapper.getEmpById(id);
return employee;
}
/**
* @CachePut：既调用方法（这个方法必须要执行），又更新缓存数据
* @param employee
* @return
*/
@CachePut(value = "emp",key = "#result.id")
public Employee updateEmp(Employee employee){
System.err.println("开始更新" + employee.getId() + "号员工");
employeeMapper.updateEmp(employee);
return employee;
}
/**
* @CacheEvict：缓存清除
* @param id
*/
@CacheEvict(value = "emp",beforeInvocation = true)
public void deleteEmp(Integer id){
System.err.println("删除" + id + "员工");
int i = 10/0;
}10、编写Controller类
package com.henya.springboot.controller;
import com.henya.springboot.bean.Employee;
import com.henya.springboot.service.EmployeeService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
/**
* @Description:
* @Author：HenYa
* @CreatTime：2019/12/1 12:44
*/
@RestController
public class EmployeeController {
@Autowired
EmployeeService employeeService;
@GetMapping("/emp/{id}")
public Employee getEmpById(@PathVariable("id") Integer id){
Employee employee = employeeService.getEmpById(id);
return employee;
}
@GetMapping("/emp")
public Employee updateEmp(Employee employee){
Employee emp = employeeService.updateEmp(employee);
return emp;
}
}1、在浏览器访问，也可以使用测试类，笔者使用了浏览器访问http://localhost:8080/emp/1进行测试，初次访问时，控制台会提示开始查询1号员工，如图所示。
2、再次访问时，控制台并没有sql日志，如图所示。
3、此时使用RedisDesktopManager工具查看redis时有数据，并且cacheName为emp，如图所示
只是emp对象被序列化了。查看源码可知Redis默认使用Jdk进行序列化。
static RedisSerializer<Object> java(@Nullable ClassLoader classLoader) {
return new JdkSerializationRedisSerializer(classLoader);
}查看RedisSerializer接口的实现有以下几种：
我们常用的就是以json的格式进行序列化。但是需要自定义RedisCacheManager。
package com.henya.springboot.config;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
/**
* @Description:
* @Author：HenYa
* @CreatTime：2019/12/6 20:50
*/
@Configuration
public class MyRedisConfig {
@Bean
public RedisCacheManager empCacheManager(RedisConnectionFactory redisConnectionFactory){
//RedisCacheManager redisCacheManager = new RedisCacheManager(redisConnectionFactory);
RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory);
RedisSerializer<Object> redisSerializer = new GenericJackson2JsonRedisSerializer();
RedisSerializationContext.SerializationPair<Object> pair = RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer);
RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig().serializeValuesWith(pair);
// 默认会将CacheName作为key的前缀
return new RedisCacheManager(redisCacheWriter, redisCacheConfiguration);
}
}此时，Redis中缓存数据就以Json的格式进行序列化，如图所示。
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