SpringBoot中Redis配置

Posted on by hackdl

1、Pom.xml

     
            org.springframework.boot
            spring-boot-starter-data-redis
       
       
            org.apache.commons
            commons-pool2
            2.8.1
       

2、配置application.yml

spring：
  redis:
    # 地址
    host: localhost
    # 端口，默认为6379
    port: 6379
    # 数据库索引
    database: 0
    # 密码
    password:
    # 连接超时时间
    timeout: 10s
    lettuce:
      pool:
        # 连接池中的最小空闲连接
        min-idle: 0
        # 连接池中的最大空闲连接
        max-idle: 8
        # 连接池的最大数据库连接数
        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: -1ms

3、Redis配置类


import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
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.core.script.DefaultRedisScript;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;

/**
 * redis配置 
 *
 */
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport
{
    @Bean
    @SuppressWarnings(value = { "unchecked", "rawtypes" })
    public RedisTemplate redisTemplate(RedisConnectionFactory connectionFactory)
    {
        RedisTemplate template = new RedisTemplate();
        template.setConnectionFactory(connectionFactory);

        FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);

        ObjectMapper mapper = new ObjectMapper();
        mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
        serializer.setObjectMapper(mapper);

        // 使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(serializer);

        // Hash的key也采用StringRedisSerializer的序列化方式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(serializer);

        template.afterPropertiesSet();
        return template;
    }

    @Bean
    public DefaultRedisScript limitScript()
    {
        DefaultRedisScript redisScript = new DefaultRedisScript();
        redisScript.setScriptText(limitScriptText());
        redisScript.setResultType(Long.class);
        return redisScript;
    }

    /**
     * 限流脚本
     */
    private String limitScriptText()
    {
        return "local key = KEYS[1]n" +
                "local count = tonumber(ARGV[1])n" +
                "local time = tonumber(ARGV[2])n" +
                "local current = redis.call('get', key);n" +
                "if current and tonumber(current) > count thenn" +
                "    return tonumber(current);n" +
                "endn" +
                "current = redis.call('incr', key)n" +
                "if tonumber(current) == 1 thenn" +
                "    redis.call('expire', key, time)n" +
                "endn" +
                "return tonumber(current);";
    }
}

 4、Redis工具类


import java.util.Collection;
import java.util.Iterator;
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.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;

/**
 * spring redis 工具类
 *
 **/
@SuppressWarnings(value = { "unchecked", "rawtypes" })
@Component
public class RedisCache
{
    @Autowired
    public RedisTemplate redisTemplate;

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key 缓存的键值
     * @param value 缓存的值
     */
    public  void setCacheObject(final String key, final T value)
    {
        redisTemplate.opsForValue().set(key, value);
    }

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key 缓存的键值
     * @param value 缓存的值
     * @param timeout 时间
     * @param timeUnit 时间颗粒度
     */
    public  void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit)
    {
        redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
    }

    /**
     * 设置有效时间
     *
     * @param key Redis键
     * @param timeout 超时时间
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout)
    {
        return expire(key, timeout, TimeUnit.SECONDS);
    }

    /**
     * 设置有效时间
     *
     * @param key Redis键
     * @param timeout 超时时间
     * @param unit 时间单位
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout, final TimeUnit unit)
    {
        return redisTemplate.expire(key, timeout, unit);
    }

    /**
     * 获得缓存的基本对象。
     *
     * @param key 缓存键值
     * @return 缓存键值对应的数据
     */
    public  T getCacheObject(final String key)
    {
        ValueOperations operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    /**
     * 删除单个对象
     *
     * @param key
     */
    public boolean deleteObject(final String key)
    {
        return redisTemplate.delete(key);
    }

    /**
     * 删除集合对象
     *
     * @param collection 多个对象
     * @return
     */
    public long deleteObject(final Collection collection)
    {
        return redisTemplate.delete(collection);
    }

    /**
     * 缓存List数据
     *
     * @param key 缓存的键值
     * @param dataList 待缓存的List数据
     * @return 缓存的对象
     */
    public  long setCacheList(final String key, final List dataList)
    {
        Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
        return count == null ? 0 : count;
    }

    /**
     * 获得缓存的list对象
     *
     * @param key 缓存的键值
     * @return 缓存键值对应的数据
     */
    public  List getCacheList(final String key)
    {
        return redisTemplate.opsForList().range(key, 0, -1);
    }

    /**
     * 缓存Set
     *
     * @param key 缓存键值
     * @param dataSet 缓存的数据
     * @return 缓存数据的对象
     */
    public  BoundSetOperations setCacheSet(final String key, final Set dataSet)
    {
        BoundSetOperations setOperation = redisTemplate.boundSetOps(key);
        Iterator it = dataSet.iterator();
        while (it.hasNext())
        {
            setOperation.add(it.next());
        }
        return setOperation;
    }

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public  Set getCacheSet(final String key)
    {
        return redisTemplate.opsForSet().members(key);
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     */
    public  void setCacheMap(final String key, final Map dataMap)
    {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
        }
    }

    /**
     * 获得缓存的Map
     *
     * @param key
     * @return
     */
    public  Map getCacheMap(final String key)
    {
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * 往Hash中存入数据
     *
     * @param key Redis键
     * @param hKey Hash键
     * @param value 值
     */
    public  void setCacheMapValue(final String key, final String hKey, final T value)
    {
        redisTemplate.opsForHash().put(key, hKey, value);
    }

    /**
     * 获取Hash中的数据
     *
     * @param key Redis键
     * @param hKey Hash键
     * @return Hash中的对象
     */
    public  T getCacheMapValue(final String key, final String hKey)
    {
        HashOperations opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(key, hKey);
    }

    /**
     * 删除Hash中的数据
     * 
     * @param key
     * @param hkey
     */
    public void delCacheMapValue(final String key, final String hkey)
    {
        HashOperations hashOperations = redisTemplate.opsForHash();
        hashOperations.delete(key, hkey);
    }

    /**
     * 获取多个Hash中的数据
     *
     * @param key Redis键
     * @param hKeys Hash键集合
     * @return Hash对象集合
     */
    public  List getMultiCacheMapValue(final String key, final Collection hKeys)
    {
        return redisTemplate.opsForHash().multiGet(key, hKeys);
    }

    /**
     * 获得缓存的基本对象列表
     *
     * @param pattern 字符串前缀
     * @return 对象列表
     */
    public Collection keys(final String pattern)
    {
        return redisTemplate.keys(pattern);
    }
}

5、Service文件中使用

 public String getToken(){
        //获取access_token
        String tokenValue = redisCache.getCacheObject("ACCESS_TOKEN");
        if (StringUtils.isNull(tokenValue)){
            String token = "ACCESS_TOKEN";
            Integer timeOut = 7200;
            tokenValue = getAccessToken();
            redisCache.setCacheObject(token,tokenValue,timeOut, TimeUnit.SECONDS);
        }
        return tokenValue;
    }

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