springboot配置redis
1、引入 spring-boot-starter-redis(1.4版本前),spring-boot-starter-data-redis(1.4版本後)
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-redis</artifactId> </dependency>
2,添加配置文件
# REDIS (RedisProperties) # Redis數據庫索引(默認爲0) spring.redis.database=0 # Redis服務器地址 spring.redis.host=192.168.0.58 # Redis服務器連接端口 spring.redis.port=6379 # Redis服務器連接密碼(默認爲空) spring.redis.password= # 連接池最大連接數(使用負值表示沒有限制) spring.redis.pool.max-active=8 # 連接池最大阻塞等待時間(使用負值表示沒有限制) spring.redis.pool.max-wait=-1 # 連接池中的最大空閒連接 spring.redis.pool.max-idle=8 # 連接池中的最小空閒連接 spring.redis.pool.min-idle=0 # 連接超時時間(毫秒) spring.redis.timeout=0
3.Redis緩存配置類提供redisTemplate(獲得配置文件中連接參數後的)
@Configuration @EnableCaching public class RedisCacheConfig { @Bean public CacheManager cacheManager(RedisTemplate<?, ?> redisTemplate){ CacheManager cacheManager = new RedisCacheManager(redisTemplate); return cacheManager; } @Bean public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory){ RedisTemplate<String, String> redisTemplate = new RedisTemplate<String,String>(); redisTemplate.setConnectionFactory(factory); // key序列化方式;(不然會出現亂碼;),但是如果方法上有Long等非String類型的話,會報類型轉換錯誤; // 所以在沒有自己定義key生成策略的時候,以下這個代碼建議不要這麼寫,可以不配置或者自己實現ObjectRedisSerializer // 或者JdkSerializationRedisSerializer序列化方式; RedisSerializer<String> redisSerializer = new StringRedisSerializer();// Long類型不可以會出現異常信息; redisTemplate.setKeySerializer(redisSerializer); redisTemplate.setHashKeySerializer(redisSerializer); return redisTemplate; } }
4,Redis工具類
package com.ty.tyzxtj.util; import java.io.Serializable; import java.util.Map; import java.util.Set; import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.ValueOperations; import org.springframework.data.redis.serializer.StringRedisSerializer; import org.springframework.stereotype.Component; /** * redicache 工具類 * */ @SuppressWarnings("unchecked") @Component public class RedisUtil { @SuppressWarnings("rawtypes") @Autowired private RedisTemplate redisTemplate; /** * 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); } } /** * 判斷緩存中是否有對應的value * * @param key * @return */ public boolean exists(final String key) { return redisTemplate.hasKey(key); } /** * 讀取緩存 * * @param key * @return */ public String get(final String key) { Object result = null; redisTemplate.setValueSerializer(new StringRedisSerializer()); ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); result = operations.get(key); if(result==null){ return null; } return result.toString(); } /** * 寫入緩存 * * @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; } /** * 寫入緩存 * * @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; } public boolean hmset(String key, Map<String, String> value) { boolean result = false; try { redisTemplate.opsForHash().putAll(key, value); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } public Map<String,String> hmget(String key) { Map<String,String> result =null; try { result= redisTemplate.opsForHash().entries(key); } catch (Exception e) { e.printStackTrace(); } return result; } }