在spring boot项目中使用缓存很方便,有如下两种使用场景:
* 直接操作RedisTemplate缓存数据
* 在方法上加@Cacheable注解来缓存数据
方法1适用于缓存session、token等用户登录信息
方法2适用于缓存查询结果
直接操作RedisTemplate能够很灵活的对存入缓存中的key与value做定制化、并能很容易的实现缓存对象的过期时间。用@Cacheable注解方式的话,是不支持设置TTL,也就是说没有直接的方式设置缓存对象的过期时间,那么怎样才能实现缓存对象的自动清除呢?别着急,接着看。
一、pom配置,要加入对spring-boot-starter-cache与spring-boot-starter-data-redis的依赖
<parent> <groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.0.3.RELEASE</version> </parent> <dependencies> <dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId> </dependency> <!-- spring data
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>
<dependency> <groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId> <version>2.0</version> </dependency>
<!-- spring data jpa--> <dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId> </dependency> <!--jdbc
pool --> <dependency> <groupId>com.zaxxer</groupId>
<artifactId>HikariCP</artifactId> <version>3.1.0</version> </dependency> <!--
jdbc driver --> <dependency> <groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId> <version>42.1.1</version> </dependency>
<!-- auto redeploy <dependency> <groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-devtools</artifactId> <optional>true</optional>
</dependency>--> <!-- https://mvnrepository.com/artifact/com.alibaba/fastjson
--> <dependency> <groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId> <version>1.2.32</version> </dependency>
</dependencies>
二、写个RedisCacheConfig文件,扩展CachingConfigurerSupport。缓存的自动清除有cacheEvict方法注解实现。
@Configuration @EnableCaching @EnableScheduling public class RedisCacheConfig
extends CachingConfigurerSupport{ private static final Logger logger =
LoggerFactory.getLogger(RedisCacheConfig.class); @Resource private
LettuceConnectionFactory lettuceConnectionFactory; @Bean public KeyGenerator
keyGenerator() { return new KeyGenerator() { @Override public Object
generate(Object target, Method method, Object... params) { StringBuffer sb =
new StringBuffer(); sb.append(target.getClass().getName());
sb.append(method.getName()); for (Object obj : params) {
sb.append(obj.toString()); } return sb.toString(); } }; } @Bean public
CacheManager cacheManager(){ RedisCacheManager.RedisCacheManagerBuilder builder
= RedisCacheManager.RedisCacheManagerBuilder
.fromConnectionFactory(lettuceConnectionFactory); @SuppressWarnings("serial")
Set<String> cacheNames = new HashSet<String>() { { add("apiCache");
add("dictDataCache"); add("manufacturedGood"); add("rawMaterial"); } };
builder.initialCacheNames(cacheNames); return builder.build(); }
@CacheEvict(allEntries = true, cacheNames = { "manufacturedGood",
"rawMaterial"}) @Scheduled(fixedDelay = 60*1000) public void cacheEvict() {
logger.info("[RedisCacheConfig][cacheEvict] start to clear cache"); } @Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory
factory){ Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new
Jackson2JsonRedisSerializer<Object>( Object.class); ObjectMapper om = new
ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, Visibility.ANY);
om.enableDefaultTyping(DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om); RedisTemplate<String, Object>
redisTemplate = new RedisTemplate<String, Object>();
redisTemplate.setConnectionFactory(lettuceConnectionFactory);
RedisSerializer<?> stringSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(stringSerializer);
redisTemplate.setValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.setHashKeySerializer(stringSerializer);
redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);
redisTemplate.afterPropertiesSet(); return redisTemplate; } }
说明:
* 在class上面需要加上@EnableCaching与@EnableScheduling注解
* cacheEvict()方法就是实现缓存对象的自动清除的地方,@CacheEvict注解指明cacheNames中指定的缓存,allEntries =
true表示清除每个缓存中的所有实体。@Scheduled指定以何种方式触发这个清除动作,fixedDelay = 60*1000
表明上次执行完毕后间隔1分钟清除一次。注意单位是毫秒。当然,还有其它的方式,比如fixedRate,cron等
三、通过@Cacheable自动缓存数据
@Service public class RawMaterialQueryServiceImpl implements
RawMaterialQueryService { @Autowired private RawMaterialDao rawMaterialDao;
@Override @Cacheable(cacheNames="rawMaterial",sync=true,
key="'RawMaterialID'.concat(#p0)") public RawMaterial getById(Integer id) {
if(null == id) { return null; } Optional<RawMaterial> optional =
rawMaterialDao.findById(id); return optional.isPresent()?optional.get():null; }
}
说明:
在getById这个方法上的@Cacheable注解对查询结果做缓存,将查询的结果缓存到rawMaterial中,key为固定前缀RawMaterialID加上查询参数id。sync=true,多线程用相同的id调用此方法,如果没有命中,只有一个线程会调用方法中的查询动作,其它线程会等待。
四、直接调用。写个辅助类,直接操作RedisTemplate。在put对象时,可以直接指定过期时间。
@Component public class RedisUtil { private static final Logger logger =
LoggerFactory.getLogger(RedisUtil.class); private static final String
FRONT_END_SESSION_CACHE_PREFIX = "FE_SESS_"; private static final String
BACK_END_SESSION_CACHE_PREFIX = "BE_SESS_"; private static final String
LOCALE_CACHE_PREFIX = "LOCALE_"; @Value("${cache.redis.defaultlocale}") private
String defaultLocale; @Value("${cache.redis.session.backend.expiretime}")
private int beSessionExpireTime;
@Value("${cache.redis.session.frontend.expiretime}") private int
feSessionExpireTime; @Resource private RedisTemplate<Object, Object>
redisTemplate; public void cacheFrontEndSession(String sessionId,Integer
userId) { if(StringUtil.assertNull(sessionId)) { return; }
putWithTimeout(FRONT_END_SESSION_CACHE_PREFIX+sessionId,
userId,feSessionExpireTime); } public boolean removeFrontEndSession(String
sessionId) { if(StringUtil.assertNull(sessionId)) { return true; } return
delete(FRONT_END_SESSION_CACHE_PREFIX+sessionId); } public Integer
getFrontEndSessionCache(String sessionId) { try { Object value =
get(FRONT_END_SESSION_CACHE_PREFIX+sessionId); if(null != value) {
putWithTimeout(FRONT_END_SESSION_CACHE_PREFIX+sessionId,
value,feSessionExpireTime); return Integer.parseInt(value+""); }else { return
null; } }catch(Exception e) { return null; } } public void
cacheBackEndSession(String sessionId,Integer userId) {
if(StringUtil.assertNull(sessionId)) { return; }
putWithTimeout(BACK_END_SESSION_CACHE_PREFIX+sessionId,
userId,beSessionExpireTime); } public boolean removeBackEndSession(String
sessionId) { if(StringUtil.assertNull(sessionId)) { return true; } return
delete(BACK_END_SESSION_CACHE_PREFIX+sessionId); } public Integer
getBackEndSessionCache(String sessionId) { try { Object value =
get(BACK_END_SESSION_CACHE_PREFIX+sessionId); if(null != value) {
putWithTimeout(BACK_END_SESSION_CACHE_PREFIX+sessionId,
value,beSessionExpireTime); return Integer.parseInt(value+""); }else { return
null; } }catch(Exception e) { return null; } } public void cacheLocale(Integer
userId,String locale) { if(null == userId) { return; }
put(LOCALE_CACHE_PREFIX+userId, locale); } public String getLocaleCache(Integer
userId) { try { return (String)get(LOCALE_CACHE_PREFIX+userId);
}catch(Exception e) { return null; } } private void put(Object key,Object
value) { redisTemplate.opsForValue().set(key, value); } private void
putWithTimeout(Object key,Object value,long timeout) {
redisTemplate.opsForValue().set(key, value,timeout,TimeUnit.SECONDS); } private
Object get(Object key) { if(null == key) { return null; } return
redisTemplate.opsForValue().get(key); } private boolean delete(Object key) {
if(null == key) { return true; } return redisTemplate.delete(key); } public
String getDefaultLocale() { return defaultLocale; } }
五、配置文件application.properties
#=====================redis config================================
spring.cache.type=redis spring.redis.host=192.168.1.252 spring.redis.port=6379
spring.redis.password=xxxxx spring.redis.database=0 spring.redis.timeout=5000
spring.redis.lettuce.pool.max-idle=50 spring.redis.lettuce.pool.min-idle=10
spring.redis.lettuce.pool.max-active=-1 spring.redis.lettuce.pool.max-wait=-1
cache.redis.defaultlocale=zh_CN #session过期时间,单位:秒
cache.redis.session.backend.expiretime=300
cache.redis.session.frontend.expiretime=3600
总结, 通过上述步骤,展示了在spring
boot项目中同时使用通过操作RedisTemplate和@Cacheable的方式来缓存数据,并实现缓存的自动清除功能。
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