SpringBoot整合Redis及Redis工具类的实例分析
SpringBoot整合Redis及Redis工具类的实例分析,针对这个问题,这篇文章详细介绍了相对应的分析和解答,希望可以帮助更多想解决这个问题的小伙伴找到更简单易行的方法。
SpringBoot整合Redis的博客很多,但是很多都不是我想要的结果。因为我只需要整合完成后,可以操作Redis就可以了,并不需要配合缓存相关的注解使用(如@Cacheable)。看了很多博客后,我成功的整合了,并写了个Redis操作工具类。特意在此记录一下,方便后续查阅。
一、Maven依赖
(1)本文所采用的SpringBoot的版本如下
<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.0.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent>
(2)加入Redis相关依赖
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency>
二、application.properties中加入redis相关配置
# Redis数据库索引(默认为0) spring.redis.database=0 # Redis服务器地址 spring.redis.host=192.168.0.24 # Redis服务器连接端口 spring.redis.port=6379 # Redis服务器连接密码(默认为空) spring.redis.password= # 连接池最大连接数(使用负值表示没有限制) spring.redis.pool.max-active=200 # 连接池最大阻塞等待时间(使用负值表示没有限制) spring.redis.pool.max-wait=-1 # 连接池中的最大空闲连接 spring.redis.pool.max-idle=10 # 连接池中的最小空闲连接 spring.redis.pool.min-idle=0 # 连接超时时间(毫秒) spring.redis.timeout=1000
三、写一个redis配置类
(1)聊聊RedisTemplate的自动配置
其实现在就可以在代码中注入RedisTemplate,为啥可以直接注入呢?先看下源码吧。下图为 RedisAutoConfiguration类中的截图,为了防止图片失效,代码也贴上 。
代码:
@Configuration@ConditionalOnClass(RedisOperations.class)@EnableConfigurationProperties(RedisProperties.class)@Import({ LettuceConnectionConfiguration.class, JedisConnectionConfiguration.class })public class RedisAutoConfiguration { @Bean @ConditionalOnMissingBean(name = "redisTemplate") public RedisTemplate<Object, Object> redisTemplate( RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { RedisTemplate<Object, Object> template = new RedisTemplate<>(); template.setConnectionFactory(redisConnectionFactory); return template; } @Bean @ConditionalOnMissingBean public StringRedisTemplate stringRedisTemplate( RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { StringRedisTemplate template = new StringRedisTemplate(); template.setConnectionFactory(redisConnectionFactory); return template; }}
通过源码可以看出,SpringBoot自动帮我们在容器中生成了一个RedisTemplate和一个StringRedisTemplate。但是,这个RedisTemplate的泛型是<Object,Object>,写代码不方便,需要写好多类型转换的代码;我们需要一个泛型为<String,Object>形式的RedisTemplate。并且,这个RedisTemplate没有设置数据存在Redis时,key及value的序列化方式。
看到这个@ConditionalOnMissingBean注解后,就知道如果Spring容器中有了RedisTemplate对象了,这个自动配置的RedisTemplate不会实例化。因此我们可以直接自己写个配置类,配置RedisTemplate。
(2)既然自动配置不好用,就重新配置一个RedisTemplate
代码如下:
package com.zxy.demo.redis;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;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.StringRedisSerializer;import com.fasterxml.jackson.annotation.JsonAutoDetect;import com.fasterxml.jackson.annotation.PropertyAccessor;import com.fasterxml.jackson.databind.ObjectMapper;@Configurationpublic class RedisConfig { @Bean@SuppressWarnings("all") public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) { RedisTemplate<String, Object> template = new RedisTemplate<String, Object>(); template.setConnectionFactory(factory);Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); StringRedisSerializer stringRedisSerializer = new StringRedisSerializer(); // key采用String的序列化方式 template.setKeySerializer(stringRedisSerializer); // hash的key也采用String的序列化方式 template.setHashKeySerializer(stringRedisSerializer); // value序列化方式采用jackson template.setValueSerializer(jackson2JsonRedisSerializer); // hash的value序列化方式采用jackson template.setHashValueSerializer(jackson2JsonRedisSerializer); template.afterPropertiesSet(); return template; }}
四、写一个Redis工具类
直接用RedisTemplate操作Redis,需要很多行代码,因此直接封装好一个RedisUtils,这样写代码更方便点。这个RedisUtils交给Spring容器实例化,使用时直接注解注入。
工具类代码如下:
package com.zxy.demo.redis;import java.util.List;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.stereotype.Component;import org.springframework.util.CollectionUtils;@Componentpublic final class RedisUtil {@Autowiredprivate RedisTemplate<String, Object> redisTemplate;// =============================common============================public boolean expire(String key, long time) {try {if (time > 0) {redisTemplate.expire(key, time, TimeUnit.SECONDS);}return true;} catch (Exception e) {e.printStackTrace();return false;}}public long getExpire(String key) {return redisTemplate.getExpire(key, TimeUnit.SECONDS);}public boolean hasKey(String key) {try {return redisTemplate.hasKey(key);} catch (Exception e) {e.printStackTrace();return false;}}@SuppressWarnings("unchecked")public void del(String... key) {if (key != null && key.length > 0) {if (key.length == 1) {redisTemplate.delete(key[0]);} else {redisTemplate.delete(CollectionUtils.arrayToList(key));}}}// ============================String=============================public Object get(String key) {return key == null ? null : redisTemplate.opsForValue().get(key);}public boolean set(String key, Object value) {try {redisTemplate.opsForValue().set(key, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean set(String key, Object value, long time) {try {if (time > 0) {redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);} else {set(key, value);}return true;} catch (Exception e) {e.printStackTrace();return false;}}public long incr(String key, long delta) {if (delta < 0) {throw new RuntimeException("递增因子必须大于0");}return redisTemplate.opsForValue().increment(key, delta);}public long decr(String key, long delta) {if (delta < 0) {throw new RuntimeException("递减因子必须大于0");}return redisTemplate.opsForValue().increment(key, -delta);}// ================================Map=================================public Object hget(String key, String item) {return redisTemplate.opsForHash().get(key, item);}public Map<Object, Object> hmget(String key) {return redisTemplate.opsForHash().entries(key);}public boolean hmset(String key, Map<String, Object> map) {try {redisTemplate.opsForHash().putAll(key, map);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean hmset(String key, Map<String, Object> map, long time) {try {redisTemplate.opsForHash().putAll(key, map);if (time > 0) {expire(key, time);}return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean hset(String key, String item, Object value) {try {redisTemplate.opsForHash().put(key, item, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean hset(String key, String item, Object value, long time) {try {redisTemplate.opsForHash().put(key, item, value);if (time > 0) {expire(key, time);}return true;} catch (Exception e) {e.printStackTrace();return false;}}public void hdel(String key, Object... item) {redisTemplate.opsForHash().delete(key, item);}public boolean hHasKey(String key, String item) {return redisTemplate.opsForHash().hasKey(key, item);}public double hincr(String key, String item, double by) {return redisTemplate.opsForHash().increment(key, item, by);}public double hdecr(String key, String item, double by) {return redisTemplate.opsForHash().increment(key, item, -by);}// ============================set=============================public Set<Object> sGet(String key) {try {return redisTemplate.opsForSet().members(key);} catch (Exception e) {e.printStackTrace();return null;}}public boolean sHasKey(String key, Object value) {try {return redisTemplate.opsForSet().isMember(key, value);} catch (Exception e) {e.printStackTrace();return false;}}public long sSet(String key, Object... values) {try {return redisTemplate.opsForSet().add(key, values);} catch (Exception e) {e.printStackTrace();return 0;}}public long sSetAndTime(String key, long time, Object... values) {try {Long count = redisTemplate.opsForSet().add(key, values);if (time > 0)expire(key, time);return count;} catch (Exception e) {e.printStackTrace();return 0;}}public long sGetSetSize(String key) {try {return redisTemplate.opsForSet().size(key);} catch (Exception e) {e.printStackTrace();return 0;}}public long setRemove(String key, Object... values) {try {Long count = redisTemplate.opsForSet().remove(key, values);return count;} catch (Exception e) {e.printStackTrace();return 0;}}// ===============================list=================================public List<Object> lGet(String key, long start, long end) {try {return redisTemplate.opsForList().range(key, start, end);} catch (Exception e) {e.printStackTrace();return null;}}public long lGetListSize(String key) {try {return redisTemplate.opsForList().size(key);} catch (Exception e) {e.printStackTrace();return 0;}}public Object lGetIndex(String key, long index) {try {return redisTemplate.opsForList().index(key, index);} catch (Exception e) {e.printStackTrace();return null;}}public boolean lSet(String key, Object value) {try {redisTemplate.opsForList().rightPush(key, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean lSet(String key, Object value, long time) {try {redisTemplate.opsForList().rightPush(key, value);if (time > 0)expire(key, time);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean lSet(String key, List<Object> value) {try {redisTemplate.opsForList().rightPushAll(key, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean lSet(String key, List<Object> value, long time) {try {redisTemplate.opsForList().rightPushAll(key, value);if (time > 0)expire(key, time);return true;} catch (Exception e) {e.printStackTrace();return false;}}public boolean lUpdateIndex(String key, long index, Object value) {try {redisTemplate.opsForList().set(key, index, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}public long lRemove(String key, long count, Object value) {try {Long remove = redisTemplate.opsForList().remove(key, count, value);return remove;} catch (Exception e) {e.printStackTrace();return 0;}}}
五、小结
整合其实不麻烦,网上好多博文都有。注意设置下key和value的序列化方式,不然存到Redis的中数据看起来像乱码一下。
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