SpringBoot使用SpringCache并整合Redis的CRUD

喜欢ヅ旅行 2022-05-19 02:42 231阅读 0赞

使用docker安装redis

docker pull redis
    docker run -d -p 6379:6379 --name redis01 镜像ID

在pom.xml中引入依赖,引入SpringCache和Redis

<dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-cache</artifactId>
            </dependency>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-starter-data-redis</artifactId>
            </dependency>

在application.properties中配置mysql,mybatis,redis

spring.datasource.url=jdbc:mysql://130.733.243.104:3307/springboot?useSSL=true&verifyServerCertificate=false&allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8
    spring.datasource.username=root
    spring.datasource.password=lhc123
    spring.datasource.driver-class-name=com.mysql.jdbc.Driver
    
    mybatis.configuration.map-underscore-to-camel-case=true
    logging.level.com.lhc.dao=debug
    
    spring.redis.host=120.77.245.104
    spring.redis.port=6379

启动缓存注解及mybatis的注解版的mapper扫描

@EnableCaching
    @ManagedBean("com.lhc.dao")
    @SpringBootApplication
    public class Cache2Application { 
    
        public static void main(String[] args) {
            SpringApplication.run(Cache2Application.class, args);
        }
    }

配置序列化为jackson2序列化,而不是jdk的序列化,需要定制,我的数据库使用经常用来做测试的employee和department

@Configuration
    public class MyRedisConfig { 
    
    
        //自定义empRedisTemplate
        @Bean
        public RedisTemplate<Object, Employee> empRedisTemplate(
                RedisConnectionFactory redisConnectionFactory)
                throws UnknownHostException {
            RedisTemplate<Object, Employee> template = new RedisTemplate<Object, Employee>();
            template.setConnectionFactory(redisConnectionFactory);
            Jackson2JsonRedisSerializer<Employee> ser = new Jackson2JsonRedisSerializer<Employee>(Employee.class);
            template.setDefaultSerializer(ser);
            return template;
        }
        //自定义deptRedisTemplate
        @Bean
        public RedisTemplate<Object, Department> deptRedisTemplate(
                RedisConnectionFactory redisConnectionFactory)
                throws UnknownHostException {
            RedisTemplate<Object, Department> template = new RedisTemplate<Object, Department>();
            template.setConnectionFactory(redisConnectionFactory);
            Jackson2JsonRedisSerializer<Department> ser = new Jackson2JsonRedisSerializer<Department>(Department.class);
            template.setDefaultSerializer(ser);
            return template;
        }
    
    
    
        //定义多个RedisCacheManager,需要使用@Primary确定默认RedisCacheManager
        @Primary
        @Bean
        public RedisCacheManager employeeCacheManager(RedisTemplate<Object, Employee> empRedisTemplate){
            RedisCacheManager cacheManager = new RedisCacheManager(empRedisTemplate);
            //使用前缀，默认会将CacheName作为key的前缀
            cacheManager.setUsePrefix(true);
            return cacheManager;
        }
    
        @Bean
        public RedisCacheManager deptCacheManager(RedisTemplate<Object, Department> deptRedisTemplate){
            RedisCacheManager cacheManager = new RedisCacheManager(deptRedisTemplate);
            //使用前缀，默认会将CacheName作为key的前缀
            cacheManager.setUsePrefix(true);
            return cacheManager;
        }
    
    
    }

dao使用mybatis的注解版,较为简单,跳过,看一下service  
在service中配置使用缓存

//不注明cacheManager默认为@primary的cacheManger
    //抽取缓存的公共配置
    @CacheConfig(cacheNames="emp",cacheManager = "employeeCacheManager")
    @Service
    public class EmployeeService { 
    
        @Autowired
        EmployeeMapper employeeMapper;
    
        //查询,使用缓存
        @Cacheable(cacheNames = "emp",key = "#id")
        public Employee getEmp(Integer id){
            System.out.println("查询"+id+"号员工");
            Employee emp = employeeMapper.getEmpById(id);
            return emp;
        }
    
        //更新,修改缓存
        @CachePut(key = "#result.id")
        public Employee updateEmp(Employee employee){
            System.out.println("updateEmp:"+employee);
            employeeMapper.updateEmp(employee);
            return employee;
        }
    
        //删除,删除缓存
        //beforeInvocation=true,防止执行过程中出现异常
        @CacheEvict(beforeInvocation = true ,key = "#id")
        public void deleteEmp(Integer id){
            System.out.println("deleteEmp:"+id);
            //employeeMapper.deleteEmpById(id);
        }
    
        // @Caching 定义复杂的缓存规则
        @Caching(
             cacheable = {
                 @Cacheable(key = "#lastName")
             },
             put = {
                 @CachePut(key = "#result.id"),
                 @CachePut(key = "#result.email")
             }
        )
        public Employee getEmpByLastName(String lastName){
            return employeeMapper.getEmpByLastName(lastName);
        }
    
    }

于是在controller中调用这些service将开启缓存