1.Redis 注解默认序列化机制
1.Spring Boot整合Redis组件提供的缓存自动配置类RedisCacheConfiguration(org.springframework.boot.autoconfigure.cache),
其内部是通过Redis连接工厂RedisConnectionFactory定义了一个缓存管理器RedisCacheManager;
同时定义RedisCacheManager时,也默认使用了JdkSerializationRedisSerializer序列化方式。
@Configuration(proxyBeanMethods = false)
@ConditionalOnClass(RedisConnectionFactory.class)
@AutoConfigureAfter(RedisAutoConfiguration.class)
@ConditionalOnBean(RedisConnectionFactory.class)
@ConditionalOnMissingBean(CacheManager.class)
@Conditional(CacheCondition.class)
class RedisCacheConfiguration {
@Bean
RedisCacheManager cacheManager(CacheProperties cacheProperties, CacheManagerCustomizers cacheManagerCustomizers,
ObjectProvider<org.springframework.data.redis.cache.RedisCacheConfiguration> redisCacheConfiguration,
ObjectProvider<RedisCacheManagerBuilderCustomizer> redisCacheManagerBuilderCustomizers,
RedisConnectionFactory redisConnectionFactory, ResourceLoader resourceLoader) {
RedisCacheManagerBuilder builder = RedisCacheManager.builder(redisConnectionFactory).cacheDefaults(
determineConfiguration(cacheProperties, redisCacheConfiguration, resourceLoader.getClassLoader()));
List<String> cacheNames = cacheProperties.getCacheNames();
if (!cacheNames.isEmpty()) {
builder.initialCacheNames(new LinkedHashSet<>(cacheNames));
}
if (cacheProperties.getRedis().isEnableStatistics()) {
builder.enableStatistics();
}
redisCacheManagerBuilderCustomizers.orderedStream().forEach((customizer) -> customizer.customize(builder));
return cacheManagerCustomizers.customize(builder.build());
}
private org.springframework.data.redis.cache.RedisCacheConfiguration determineConfiguration(
CacheProperties cacheProperties,
ObjectProvider<org.springframework.data.redis.cache.RedisCacheConfiguration> redisCacheConfiguration,
ClassLoader classLoader) {
return redisCacheConfiguration.getIfAvailable(() -> createConfiguration(cacheProperties, classLoader));
}
private org.springframework.data.redis.cache.RedisCacheConfiguration createConfiguration(
CacheProperties cacheProperties, ClassLoader classLoader) {
Redis redisProperties = cacheProperties.getRedis();
org.springframework.data.redis.cache.RedisCacheConfiguration config = org.springframework.data.redis.cache.RedisCacheConfiguration
.defaultCacheConfig();
config = config.serializeValuesWith(
SerializationPair.fromSerializer(new JdkSerializationRedisSerializer(classLoader)));
if (redisProperties.getTimeToLive() != null) {
config = config.entryTtl(redisProperties.getTimeToLive());
}
if (redisProperties.getKeyPrefix() != null) {
config = config.prefixCacheNameWith(redisProperties.getKeyPrefix());
}
if (!redisProperties.isCacheNullValues()) {
config = config.disableCachingNullValues();
}
if (!redisProperties.isUseKeyPrefix()) {
config = config.disableKeyPrefix();
}
return config;
}
}
2.如果想要使用自定义序列化方式的RedisCacheManager进行数据缓存操作,可以创建一个名为cacheManager的Bean组件,并在该组件中设置对应的序列化方式即可
2.自定义RedisCacheManager
@Bean
public RedisCacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
// 分别创建String和JSON格式序列化对象,对缓存数据key和value进行转换
RedisSerializer<String>strSerializer = new StringRedisSerializer();
Jackson2JsonRedisSerializer jacksonSeial = 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);
//过时om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
//用下面的方法代替上面的方法
om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,ObjectMapper.DefaultTyping.NON_FINAL);
jacksonSeial.setObjectMapper(om);
// 定制缓存数据序列化方式及时效
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofDays(1))
.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(strSerializer))
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jacksonSeial))
.disableCachingNullValues();
RedisCacheManager cacheManager = RedisCacheManager.builder(redisConnectionFactory).cacheDefaults(config).build();
return cacheManager;
}
3.效果测试
项目启动成功后,通过浏览器访问http://localhost:8088/get/3,并重复刷新浏览器查看同一条数据信息 ,数据库只执行了一次SQL语句
缓存结果如下: