springboot +redis配置

springboot +redis配置

pom依赖

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

Spring boot yml配置redis的参数

spring:
# REDIS (RedisProperties)
# Redis数据库索引（默认为0）
  redis:
      database: 0 
      timeout: 0 
# Redis服务器地址
      host: 127.0.0.1
# Redis服务器连接端口
      port: 6379  
# Redis服务器连接密码（默认为空）
      password:  
# 连接池最大连接数（使用负值表示没有限制）
      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）
        max-wait: -1  
# 连接池中的最大空闲连接
        max-idle: 8  
# 连接池中的最小空闲连接
        min-idle: 0  
      cluster:
        max-redirects: 10
        nodes: 127.0.0.1:6080
# 连接超时时间（毫秒）

Spring boot config redis的模板

@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;（不然会出现乱码;）,但是如果方法上有Long等非String类型的话，会报类型转换错误；
        // 所以在没有自己定义key生成策略的时候，以下这个代码建议不要这么写，可以不配置或者自己实现ObjectRedisSerializer
        // 或者JdkSerializationRedisSerializer序列化方式;
        RedisSerializer<String> redisSerializer = new StringRedisSerializer();// Long类型不可以会出现异常信息;
        redisTemplate.setKeySerializer(redisSerializer);
        redisTemplate.setHashKeySerializer(redisSerializer);
        return redisTemplate;
    }

}

spring boot 的redis 工具类

@SuppressWarnings("unchecked")
@Component
public class RedisUtil {
    @SuppressWarnings("rawtypes")
    @Autowired
    private RedisTemplate redisTemplate;

    /**
     * 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 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();
    }

    /**
     * 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
     * 
     * @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;
    }
}

基本测试类如下：

@RunWith(SpringRunner.class)
@SpringBootTest
public class RedisUtilTest {
    @Autowired
    private RedisUtil redisUtil;

    @Test
    public void testSet() {
        String key = "key";
        System.out.println(redisUtil.get(key));
        String value = "sdd";
        redisUtil.set(key, value);
        System.out.println(redisUtil.get(key));
    }
}

现在这样就基本能够使用redis了