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今天,日月在这里教大家如何使用springBoot集成redis,说实话比较简单,网上也有大把的教程。先套用一下网上的简介。 REmote DIctionary Server(Redis) 是一个由Salvatore Sanfilippo写的key-value存储系统。 以下是Redis的一些优点。 异常快 - Redis非常快,每秒可执行大约110000次的设置(SET)操作,每秒大约可执行81000次的读取/获取(GET)操作。 Redis 安装Window 下安装 打开一个 cmd 窗口 使用cd命令切换目录到 C:\redis 集成redis我们还是延用上一章的项目:Springboot集成springcloud-config实现dataSource热部署 1、添加依赖 <!--集成redis--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-redis</artifactId> <version>1.4.1.RELEASE</version> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.3</version> </dependency> <dependency> <groupId>com.fasterxml.jackson.core</groupId> <artifactId>jackson-databind</artifactId> </dependency> 2、在配置中心里添加redis配置 spring.redis.host=127.0.0.1 #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=8 #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=8 #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=30000 3、配置类RedisConfig import java.lang.reflect.Method; import org.springframework.beans.factory.annotation.Value; import org.springframework.cache.CacheManager; import org.springframework.cache.annotation.CachingConfigurerSupport; import org.springframework.cache.annotation.EnableCaching; import org.springframework.cache.interceptor.KeyGenerator; import org.springframework.cloud.context.config.annotation.RefreshScope; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.cache.RedisCacheManager; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.connection.jedis.JedisConnectionFactory; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.databind.ObjectMapper; @Configuration @EnableCaching @RefreshScope public class RedisConfig extends CachingConfigurerSupport{ @Value("${spring.redis.host}") private String host; @Value("${spring.redis.port}") private int port; @Value("${spring.redis.timeout}") private int timeout; @Value("${spring.redis.password}") private String password; @Value("${spring.redis.pool.max-active}") private int maxActive; @Value("${spring.redis.pool.max-wait}") private int maxWait; @Value("${spring.redis.pool.max-idle}") private int maxIdle; @Value("${spring.redis.pool.min-idle}") private int minIdle; @RefreshScope @Bean public KeyGenerator wiselyKeyGenerator(){ return new KeyGenerator() { @Override public Object generate(Object target, Method method, Object... params) { StringBuilder sb = new StringBuilder(); sb.append(target.getClass().getName()); sb.append(method.getName()); for (Object obj : params) { sb.append(obj.toString()); } return sb.toString(); } }; } @RefreshScope @Bean public JedisConnectionFactory redisConnectionFactory() { JedisConnectionFactory factory = new JedisConnectionFactory(); factory.setHostName(host); factory.setPort(port); factory.setTimeout(timeout); //设置连接超时时间 factory.setPassword(password); factory.getPoolConfig().setMaxIdle(maxIdle); factory.getPoolConfig().setMinIdle(minIdle); factory.getPoolConfig().setMaxTotal(maxActive); factory.getPoolConfig().setMaxWaitMillis(maxWait); return factory; } @RefreshScope @Bean public CacheManager cacheManager(RedisTemplate redisTemplate) { RedisCacheManager cacheManager = new RedisCacheManager(redisTemplate); // Number of seconds before expiration. Defaults to unlimited (0) cacheManager.setDefaultExpiration(10); //设置key-value超时时间 return cacheManager; } @RefreshScope @Bean public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) { StringRedisTemplate template = new StringRedisTemplate(factory); setSerializer(template); //设置序列化工具,这样ReportBean不需要实现Serializable接口 template.afterPropertiesSet(); return template; } @RefreshScope private void setSerializer(StringRedisTemplate template) { 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); template.setValueSerializer(jackson2JsonRedisSerializer); } } 4、RedisUtils类 import java.io.Serializable; import java.util.List; import java.util.Set; import java.util.concurrent.TimeUnit; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.core.HashOperations; import org.springframework.data.redis.core.ListOperations; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.SetOperations; import org.springframework.data.redis.core.ValueOperations; import org.springframework.data.redis.core.ZSetOperations; import org.springframework.stereotype.Service; @Service public class RedisUtils { @Autowired private RedisTemplate redisTemplate; /** * 写入缓存 * @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; } /** * 写入缓存设置时效时间 * @param key * @param value * @return */ public boolean set(final String key, Object value, Long expireTime ,TimeUnit timeUnit) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); operations.set(key, value); redisTemplate.expire(key, expireTime, timeUnit); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 批量删除对应的value * @param keys */ public void remove(final String... keys) { for (String key : keys) { remove(key); } } /** * 批量删除key * @param pattern */ public void removePattern(final String pattern) { Set<Serializable> keys = redisTemplate.keys(pattern); if (keys.size() > 0){ redisTemplate.delete(keys); } } /** * 删除对应的value * @param key */ public void remove(final String key) { if (exists(key)) { redisTemplate.delete(key); } } /** * 判断缓存中是否有对应的value * @param key * @return */ public boolean exists(final String key) { return redisTemplate.hasKey(key); } /** * 读取缓存 * @param key * @return */ public Object get(final String key) { Object result = null; ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); result = operations.get(key); return result; } /** * 哈希 添加 * @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); } /** * 哈希获取数据 * @param key * @param hashKey * @return */ public Object hmGet(String key, Object hashKey){ HashOperations<String, Object, Object> hash = redisTemplate.opsForHash(); return hash.get(key,hashKey); } /** * 列表添加 * @param k * @param v */ public void lPush(String k,Object v){ ListOperations<String, Object> list = redisTemplate.opsForList(); list.rightPush(k,v); } /** * 列表获取 * @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); } /** * 集合添加 * @param key * @param value */ public void add(String key,Object value){ SetOperations<String, Object> set = redisTemplate.opsForSet(); set.add(key,value); } /** * 集合获取 * @param key * @return */ public Set<Object> setMembers(String key){ SetOperations<String, Object> set = redisTemplate.opsForSet(); return set.members(key); } /** * 有序集合添加 * @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); } /** * 有序集合获取 * @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); } 5、测试,修改controller import java.util.concurrent.TimeUnit; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.web.bind.annotation.PathVariable; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; import com.chenqi.springboot.redis.RedisUtils; import com.chenqi.springboot.service.TestService; @RestController public class SpringBootController { public static final Logger log = LoggerFactory.getLogger(SpringBootController.class); @Autowired TestService testService; @Autowired private RedisUtils redisUtils; @RequestMapping(value = "/hello/{id}") public String hello(@PathVariable(value = "id") String id){ //查询缓存中是否存在 boolean hasKey = redisUtils.exists(id); String str = ""; if(hasKey){ //获取缓存 Object object = redisUtils.get(id); log.info("从缓存获取的数据"+ object); str = object.toString(); }else{ //从数据库中获取信息 log.info("从数据库中获取数据"); str = testService.test(); //数据插入缓存(set中的参数含义:key值,user对象,缓存存在时间10(long类型),时间单位) redisUtils.set(id,str,10L,TimeUnit.MINUTES); log.info("数据插入缓存" + str); } return str; } } 启动项目,第一次访问:http://localhost:8002/hello/111
通过控制台输出,我们可以看到是从数据库中获取的数据,并且存入了redis缓存中。 我们再次刷新浏览器 可以看到,第二次是从缓存中读取的,我们试试不断刷新浏览器 可以看到,之后都是从缓存中获取的。 到此我们的redis就配置好了。 急需demo的兄弟就自行下载吧,不急可以留言邮箱,一般48小时内会发。 到此这篇关于使用SpringBoot集成redis的方法的文章就介绍到这了,更多相关SpringBoot集成redis内容请搜索极客世界以前的文章或继续浏览下面的相关文章希望大家以后多多支持极客世界! |
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