springboot 2.X 整合redis 以及快取@Cacheable
阿新 • • 發佈：2019-06-07
【前言】針對系統中的查詢比較頻繁的熱點資料做快取，注意不是類似資料庫的二級快取哦，spring的Cacheable這個註解可以對方法級別的返回值直接快取，還可以在類上打該註解
springboot 版本 2.1.5.RELEASE
1.引入redis
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency>
2.application.yml
spring:
redis:
host: 127.0.0.1
database: 1
port: 6379
password:
timeout: 5000
jedis:
pool:
max-active: 20
max-idle: 20
min-idle: 10
max-wait: -1ms3.配置Redisconfig
package com.lkx.springbootfull.redis; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.databind.ObjectMapper; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.cache.CacheManager; import org.springframework.cache.annotation.EnableCaching; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; 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.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 java.time.Duration; /** * ClassName: RedisConfig * Function: TODO * Date: 2019-06-07 15:13 * author likaixuan * version V1.0 */ @Configuration public class RedisConfig { private Duration timeToLive = Duration.ofHours(1); @Bean public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) { RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>(); redisTemplate.setConnectionFactory(redisConnectionFactory); // 使用Jackson2JsonRedisSerialize 替換預設序列化 Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper objectMapper = new ObjectMapper(); objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(objectMapper); // 設定value的序列化規則和 key的序列化規則 redisTemplate.setValueSerializer(jackson2JsonRedisSerializer); redisTemplate.setKeySerializer(new StringRedisSerializer()); redisTemplate.afterPropertiesSet(); return redisTemplate; } @Bean public CacheManager cacheManager(RedisConnectionFactory factory) { RedisSerializer<String> redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); //解決查詢快取轉換異常的問題 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（解決亂碼的問題） 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; } }
4.RedisUtils 這個如果是快取的話可有可無，系統中redis get set操作的公共類
package com.lkx.springbootfull.redis; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.*; import org.springframework.stereotype.Component; import java.io.Serializable; import java.util.List; import java.util.Set; import java.util.concurrent.TimeUnit; /** * ClassName: RedisUtils * Function: TODO * Date: 2019-06-07 16:49 * author likaixuan * version V1.0 */ @Component public class RedisUtils { @Autowired private RedisTemplate redisTemplate;//不帶事務 /** * 寫入快取 * * @param key * @param value * @return */ public boolean set(final String key, Object value) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); operations.set(key, value); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 寫入快取設定時效時間 * * @param key * @param value * @return */ public boolean set(final String key, Object value, Long expireTime) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); operations.set(key, value); redisTemplate.expire(key, expireTime, TimeUnit.SECONDS); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 批量刪除對應的value * * @param keys */ public void remove(final String... keys) { for (String key : keys) { remove(key); } } /** * 批量刪除對應的value (帶事務,業務程式碼中用到事務，則需用此方法) * * @param keys */ public void removeTransactional(final String... keys) { for (String key : keys) { removeTransactional(key); } } /** * 批量刪除key * * @param pattern */ public void removePattern(final String pattern) { Set<Serializable> keys = redisTemplate.keys(pattern); if (keys.size() > 0) redisTemplate.delete(keys); } /** * 刪除對應的value * * @param key */ public void remove(final String key) { if (exists(key)) { redisTemplate.delete(key); } } /** * 判斷快取中是否有對應的value * * @param key * @return */ public boolean exists(final String key) { return redisTemplate.hasKey(key); } /** * 讀取快取 * * @param key * @return */ public Object get(final String key) { ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); return operations.get(key); } /** * 雜湊 新增 * * @param key * @param hashKey * @param value */ public void hmSet(String key, Object hashKey, Object value) { HashOperations<String, Object, Object> hash = redisTemplate.opsForHash(); hash.put(key, hashKey, value); } /** * 雜湊獲取資料 * * @param key * @param hashKey * @return */ public Object hmGet(String key, Object hashKey) { HashOperations<String, Object, Object> hash = redisTemplate.opsForHash(); return hash.get(key, hashKey); } /** * 列表新增 * * @param k * @param v */ public void lPush(String k, Object v) { ListOperations<String, Object> list = redisTemplate.opsForList(); list.rightPush(k, v); } /** * 列表獲取 * * @param k * @param l * @param l1 * @return */ public List<Object> lRange(String k, long l, long l1) { ListOperations<String, Object> list = redisTemplate.opsForList(); return list.range(k, l, l1); } /** * 集合新增 * * @param key * @param value */ public void add(String key, Object value) { SetOperations<String, Object> set = redisTemplate.opsForSet(); set.add(key, value); } /** * 集合獲取 * * @param key * @return */ public Set<Object> setMembers(String key) { SetOperations<String, Object> set = redisTemplate.opsForSet(); return set.members(key); } /** * 有序集合新增 * * @param key * @param value * @param scoure */ public void zAdd(String key, Object value, double scoure) { ZSetOperations<String, Object> zset = redisTemplate.opsForZSet(); zset.add(key, value, scoure); } /** * 有序集合獲取 * * @param key * @param scoure * @param scoure1 * @return */ public Set<Object> rangeByScore(String key, double scoure, double scoure1) { ZSetOperations<String, Object> zset = redisTemplate.opsForZSet(); return zset.rangeByScore(key, scoure, scoure1); } /** * 加鎖 * * @param key * @return */ public boolean tryLock(String key) { try { long currTime = System.currentTimeMillis(); //加鎖成功 return redisTemplate.opsForValue().setIfAbsent(key, currTime); } finally { redisTemplate.expire(key, 5, TimeUnit.SECONDS); } } }
5.然後直接在方法上打上註解
key 如果不寫的話，就會根據引數來自已生成相關key,如果指定了key,就是固定的key.
【注意】快取時間內，該方法直接跳過，