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SpringBoot快速上手——《四》:SpringBoot 集

SpringBoot快速上手——《四》:SpringBoot 集

作者: java1024家园 | 来源:发表于2019-12-18 18:58 被阅读0次

    SpringBoot 集成Redis +SpringCache做缓存

    一.给user加缓存

    1.首先创建springboot-redis-cache模块,并把springboot-restful-api的内容复制过来。

    2.修改三层架构,即加service层

    添加service.UserService接口,再创建实现类service.impl.UserServiceimpl,记得实现类要加上@Service注解。并实现user的增删改查功能。同时将Controller的调用改成UserService。

    3.加入redis cache pool等依赖

    <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-data-redis</artifactId>
        </dependency>
    
        <dependency>
          <groupId>org.springframework.boot</groupId>
          <artifactId>spring-boot-starter-cache</artifactId>
        </dependency>
    
        <dependency>
          <groupId>org.apache.commons</groupId>
          <artifactId>commons-pool2</artifactId>
        </dependency>
        
    

    4.配置redis

    server:
      port: 8090
    
    # 扫描mapper.xml文件
    mybatis:
      mapper-locations:
        - classpath:mapping/*.xml
    spring:
      application:
        name: springboot-ssm
      datasource:
        type: com.alibaba.druid.pool.DruidDataSource
        driver-class-name: com.mysql.cj.jdbc.Driver
        url: jdbc:mysql://127.0.0.1:3306/springboot?serverTimezone=GMT%2B8&useUnicode=true&characterEncoding=utf-8&useSSL=false
        username: root
        password: 123zxc
      redis:
        host: 127.0.0.1
        port: 6379
        password: 123zxc
        database: 0
        lettuce:
          pool:
            max-active: 32
            max-wait: 300ms
            max-idle: 16
            min-idle: 8
            
    

    5.启动类加上@EnableCaching注解

    6.Service加缓存

    @Service
    public class UserServiceImpl implements UserService {
    
        private Logger logger = LoggerFactory.getLogger(UserServiceImpl.class);
    
        @Resource
        private UserMapper userMapper;
    
        @Override
        @Cacheable(value = "user:id",key = "#id")
        public User getOneUser(int id) {
            logger.info("get one go mysql ...");
            return userMapper.selectByPrimaryKey(id);
        }
    
        @Cacheable(value = "user:list")
        @Override
        public List<User> findAll() {
            logger.info("find all go mysql ...");
            return userMapper.list();
        }
    
        @CacheEvict(value = "user:list",allEntries = true)
        @Override
        public int add(User user) {
            return userMapper.insert(user);
        }
    
        @Caching(
                evict = {
                        @CacheEvict(value = "user:id", key = "#user.id"),
                        @CacheEvict(value = "user:list", allEntries = true)
                }
        )
        @Override
        public int update(User user) {
            return userMapper.updateByPrimaryKey(user);
        }
    
        @Caching(
                evict = {
                        @CacheEvict(value = "user:id", key = "#id"),
                        @CacheEvict(value = "user:list", allEntries = true)
                }
        )
        @Override
        public int delete(int id) {
            return delete(id);
        }
    }
    

    以上SpringBoot默认对redis 的配置,如果我们想修改redis的配置,如序列化方式、默认过期时间等等。则需要我们创建RedisConfig.java配置类。

    二.手动配置RedisConfig.java

    具体配置如下,其中一个是操作redis 的RedisTemplate,一个是缓存使用的CacheManager,其中修改了序列化方式,所以要把原来的缓存清空。

    @Component
    @Configuration
    @ConfigurationProperties("spring.cache.redis")
    public class RedisConfig extends CachingConfigurerSupport {
        private Duration timeToLive = Duration.ofMinutes(30);
    
        public void setTimeToLive(Duration timeToLive) {
            this.timeToLive = timeToLive;
        }
    
    
        @Bean
        public CacheManager cacheManager(RedisConnectionFactory factory) {
            RedisSerializer<String> redisSerializer = new StringRedisSerializer();
            Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
    
            //解决查询缓存转换异常的问题
            ObjectMapper om = new ObjectMapper();
            om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
            om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
            jackson2JsonRedisSerializer.setObjectMapper(om);
    
            // 配置序列化(解决乱码的问题)
            RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                    .entryTtl(timeToLive)
                    .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                    .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                    .disableCachingNullValues();
    
            RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                    .cacheDefaults(config)
                    .build();
            return cacheManager;
        }
    
        //RedisTemplate配置
        @Bean
        @SuppressWarnings("all")
        public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {
            RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();
            template.setConnectionFactory(factory);
            //配置事务
            template.setEnableTransactionSupport(true);
            Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
            ObjectMapper om = new ObjectMapper();
            om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
            om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
            jackson2JsonRedisSerializer.setObjectMapper(om);
            StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
            // key采用String的序列化方式
            template.setKeySerializer(stringRedisSerializer);
            // hash的key也采用String的序列化方式
            template.setHashKeySerializer(stringRedisSerializer);
            // value序列化方式采用jackson
            template.setValueSerializer(jackson2JsonRedisSerializer);
            // hash的value序列化方式采用jackson
            template.setHashValueSerializer(jackson2JsonRedisSerializer);
            template.afterPropertiesSet();
            return template;
        }
    
    }
    
    

    二.SpringBoot如何操作Redis

    Springboot 操作redis引入的依赖可以不用引入

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

    1.说明

    SpringBoot Redis提供一个强大的模版操作redis,它就是RedisTemplate,使用它可以很方便的操作redis 的五大数据类型。下面我们写一个测试类使用RedisTemplate的相关API。

    首先把引入spring-boot-starter-test依赖,同时去掉junit依赖,否则会报错!

    2.添加RedisTemplateTest

    在test/java/xyz.java1024 下创建RedisTemplateTest测试类,加上@RunWith(SpringRunner.class)
    @SpringBootTest(classes = RedisApp.class)注解,指定启动类作用是读取配置信息。具体代码如下:

    @RunWith(SpringRunner.class)
    @SpringBootTest(classes = RedisApp.class)
    public class RedisTemplateTest {
    
        @Resource
        private RedisTemplate redisTemplate;
    
        /**
         *
         * 介绍 如何使用 redisTemplate 操作String List Set ZSet Hash五种数据类型
         * 本测试只 使用了部分常用的 api,如在集合等复杂数据类型 有更多的api 实现更加强大的功能,查阅相关文档即可!
         *
         */
    
        /**
         * String 类型set
         */
        @Test
        public void testSet() {
            redisTemplate.opsForValue().set("test","this is test");
        }
    
        /**
         * String 类型get
         */
        @Test
        public void testGet() {
            Object test = redisTemplate.opsForValue().get("test");
            System.out.println("test = " + test);
        }
    
        /**
         * 添加元素
         */
        @Test
        public void testLSet() {
            redisTemplate.opsForList().leftPush("testList","testList1");
        }
    
        /**
         * 获取List 的所有元素
         */
        @Test
        public void testLGet() {
            List testList = redisTemplate.opsForList().range("testList", 0, -1);
            System.out.println("testList = " + testList);
        }
    
        /**
         * Set类型 set
         */
        @Test
        public void testSSet() {
            redisTemplate.opsForSet().add("testSet","testSet1");
        }
    
        /**
         * Set 类型get
         */
        @Test
        public void testSGet() {
            Set testSet = redisTemplate.opsForSet().members("testSet");
            System.out.println("testSet = " + testSet);
        }
    
        /**
         * hash set
         */
        @Test
        public void testHSet() {
    
            redisTemplate.opsForHash().put("testHash","value1","key1");
            redisTemplate.opsForHash().put("testHash","value2","key2");
        }
    
        /**
         * hash get
         */
        @Test
        public void testHget() {
            Object o = redisTemplate.opsForHash().get("testHash", "value1");
            System.out.println("o = " + o);
        }
    
        /**
         * Zset set
         */
        @Test
        public void testZSet() {
            redisTemplate.opsForZSet().add("java1024","SpringBoot",10);
            redisTemplate.opsForZSet().add("java1024","SpringCloud",3);
        }
    
        /**
         * Zset get
         */
        @Test
        public void testZGet() {
    
            // 正序
            Set all = redisTemplate.opsForZSet().range("java1024", 0, -1);
            System.out.println("all = " + all);
    
            //反序
            Set reverseRange = redisTemplate.opsForZSet().reverseRange("java1024", 0, -1);
            System.out.println("reverseRange = " + reverseRange);
        }
    }
    

    总结

    操作Redis不依赖SpringCache,实现SpringCache也不止Redis,也可以用ehCache做缓存!只是现在主流还是用Redis做缓存。

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