SpringCache实现缓存
Posted 可——叹——落叶飘零
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文章目录
依赖
无需指定版本
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>
yml配置
可选择使用lettuce或者jedis
spring:
cache:
type: redis
redis:
database: 0
host: localhost
# password: ''
port: 6379
client-type: lettuce
# jedis:
# pool:
# #最大连接数据库连接数,设 0 为没有限制
# max-active: 8
# #最大等待连接中的数量,设 0 为没有限制
# max-idle: 8
# #最大建立连接等待时间。如果超过此时间将接到异常。设为-1表示无限制。
# max-wait: -1ms
# #最小等待连接中的数量,设 0 为没有限制
# min-idle: 0
lettuce:
pool:
max-active: 8
max-idle: 8
max-wait: 10000
min-idle: 0
shutdown-timeout: 100
RedisConfig配置类,配置缓存规则
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.MapperFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.SerializationFeature;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.util.StringUtils;
import java.lang.reflect.Method;
import java.time.Duration;
@Configuration
public class RedisConfig<K,V>
//配置操作类,可以用来手动操作redis
@Bean
public RedisTemplate<K,V> redisTemplate(RedisConnectionFactory factory)
RedisTemplate<K,V> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(factory);
// 使用Jackson2JsonRedisSerialize 替换默认序列化
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
// 设置key和value的序列化规则
redisTemplate.setKeySerializer(new StringRedisSerializer());
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
// 设置hashKey和hashValue的序列化规则
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
// 设置支持事务
//redisTemplate.setEnableTransactionSupport(true);
redisTemplate.afterPropertiesSet();
return redisTemplate;
//以下全是cache操作
//设置10秒钟过期值的缓存管理器
@Bean
@Primary
public RedisCacheManager cacheManager10Second(RedisConnectionFactory connectionFactory,RedisTemplate<K,V> redisTemplate)
RedisCacheConfiguration config = instanceConfig(10L,redisTemplate);
return RedisCacheManager.builder(connectionFactory)
.cacheDefaults(config)
.transactionAware()
.build();
//设置一天过期值的缓存管理器
@Bean
public RedisCacheManager cacheManager1Day(RedisConnectionFactory connectionFactory,RedisTemplate<K,V> redisTemplate)
RedisCacheConfiguration config = instanceConfig(3600 * 24L,redisTemplate);
return RedisCacheManager.builder(connectionFactory)
.cacheDefaults(config)
.transactionAware()
.build();
private RedisCacheConfiguration instanceConfig(Long ttl,RedisTemplate<K,V> redisTemplate)
return RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofSeconds(ttl))
.disableCachingNullValues()
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(redisTemplate.getValueSerializer()));
//配置key值规则
@Bean
public KeyGenerator getKeyGenerator()
return new KeyGenerator()
@Override
public Object generate(Object target, Method method, Object... params)
return target.getClass().getSimpleName() + "_"
+ method.getName() + "_"
+ StringUtils.arrayToDelimitedString(params, "_");
;
@Cacheable使用
根据方法的请求参数对其结果进行缓存,下次同样的参数来执行该方法时可以直接从缓存中获取结果,而不需要再次执行该方法
@Cacheable
在service层
//这里redis所有的key规则都是以 value:: 开头
//keyGenerator和key只能二选一
//key=getCache::根据keyGenerator得到完整key
@Cacheable(value = "getCache",keyGenerator = "getKeyGenerator",cacheManager = "cacheManager10Second")
public Object getCache2(Integer id,String name)
//数据库插入或读取数据
//...
return "结果:"+id+" "+name;
key=cacheById::#id得到完整key
@Cacheable(value = "cacheById",key="#id")
public Object getCache(Integer id,String name)
//数据库插入或读取数据
//...
Map<Object,Object> map=new HashMap<>();
map.put(id,name);
return map;
@CachePut使用
redis更新的值存入的是方法返回值
//更新缓存必须和Cacheable的key值相同
@CachePut(value = "cacheById",key = "#id")
public Object updateCache(Integer id,String name)
System.out.println("老值:"+redisTemplate.opsForValue().get("cacheById::" + id));
//数据库更新数据
//...
return "结果:"+id+" "+name;
@CacheEvict使用
//删除
@CacheEvict(value = "cacheById",key = "#id")
public void clearCache(Integer id,String name)
//数据库删除数据
//...
System.out.println(redisTemplate.opsForValue().get("cacheById::" + id));
@Caching使用
能组合多种类型操作
@Caching(
cacheable =
@Cacheable(value = "cacheById",keyGenerator = "keyGenerator")
,
put =
@CachePut(value = "cacheById",key = "#id")
)
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