在SpringBoot中集成Redis

科技优家 2017-01-16 17:17

上篇介绍了 Spring-data-jpa一些使用方法，都是基于mysql数据库来讲解的，但是在实际项目中，由于访问量的不断增大，数据库的压力会越来越大，这时候类似于mysql的数据库往往只是为了兜底或者在降级时才会有查询操作，大部分的读操作都会集中在缓存或者像elasticsearch这种全文搜索引擎，本篇主要介绍一下如何在SpringBoot中使用Redis，后续会介绍如何集成elasticsearch

1、添加Redis起步依赖

<dependency>    <groupId>org.springframework.boot</groupId>    <artifactId>spring-boot-starter-redis</artifactId></dependency>

2、添加Redis相关配置

spring:  redis:    host: localhost    port: 6379    pool:      max-idle: 100      min-idle: 1      max-active: 1000      max-wait: -1

3、编写Redis配置类

@Configuration@EnableCachingpublic class RedisConfig extends CachingConfigurerSupport {    /**     * 生成key的策略     * @return     */    @Bean    public KeyGenerator keyGenerator {        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; }        };    }    /**     * 管理缓存     */    @Bean    public CacheManager cacheManager(RedisTemplate redisTemplate) {        RedisCacheManager rcm = new RedisCacheManager(redisTemplate);        return rcm;    }    /**     * RedisTemplate配置     */    @Bean    public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {        StringRedisTemplate template = new StringRedisTemplate(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);        template.setValueSerializer(jackson2JsonRedisSerializer);        template.afterPropertiesSet;        return template;    }}

4、编写Redis操作相关Service

@Servicepublic class RedisService {    @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) {        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、写一个controller打印测试一下

@RestController@RequestMapping(value="/redis")public class redisTestController {    @Autowired    private RedisService redisService;    @RequestMapping(value = "/test", method = {RequestMethod.GET, RequestMethod.POST})    public String redisTest{        StringBuffer sb = new StringBuffer;        redisService.set("str", "str");        sb.append("str=").append(redisService.get("str").toString).append(",");        redisService.hmSet("hmset","key","val");        sb.append("hmset=").append(redisService.hmGet("hmset","key")).append(",");        redisService.lPush("list","val");        sb.append("list=").append(redisService.lRange("list",0,1).toString).append(",");        redisService.add("set","val");        sb.append("set=").append(redisService.setMembers("set").toString).append(",");        redisService.zAdd("zset","val1",1);        redisService.zAdd("zset","val2",2);        sb.append("zset=").append(redisService.rangeByScore("zset",1,2)).append(",");        return sb.toString;    }}

我们在浏览器中输入http://localhost:8080/redis/test，显示一下页面，ok！Redis集成完成，是不是很简单呢！！！

本文为头条号作者发布，不代表今日头条立场。