@EnableAutoConfiguration
@Component
@Configuration
@Order(value = 2)
public class ScheduledTaskUtils {
    //启动初始化导入一次
    @Bean
    public void initTestClickHouse() {
        testClickHouse();
    //每8秒执行一次
    @Scheduled(cron = "*/8 * * * * ?")
    public void testClickHouse() {
            ControlVO test = new ControlVO();
            test.setTag(CodeUtils.getFanAttributes(code, "CU"));
            int x = 0;
            int y = 3;
            //随机塞入0-3的值
            int num = x + (int) (Math.random() * (y - x + 1));
            test.setValue((double) num);
            RealtimeData realtimeData = new RealtimeData(test.getTag(), 0, test.getValue().intValue(), 0);
            redisDataCache.setCacheObject(test.getTag(), JSON.parseObject(JSON.toJSONString(realtimeData), Map.class));
}

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;
import javax.annotation.Resource;
import java.util.*;
import java.util.concurrent.TimeUnit;
 * spring redis 工具类
@SuppressWarnings(value = {"unchecked", "rawtypes"})
@Component
public class RedisDataCache {
    @Resource(name = "redisDataTemplate")
    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 <T> 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 <T> 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> T getCacheObject(final String key) {
        ValueOperations<String, T> 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 <T> long setCacheList(final String key, final List<T> 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 <T> List<T> 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 <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
        BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
        Iterator<T> it = dataSet.iterator();
        while (it.hasNext()) {
            setOperation.add(it.next());
        return setOperation;
     * 获得缓存的set
     * @param key
     * @return
    public <T> Set<T> getCacheSet(final String key) {
        return redisTemplate.opsForSet().members(key);
     * 缓存Map
     * @param key
     * @param dataMap
    public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
     * 获得缓存的Map
     * @param key
     * @return
    public <T> Map<String, T> 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 <T> 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> T getCacheMapValue(final String key, final String hKey) {
        HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(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 <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> 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<String> keys(final String pattern) {
        return redisTemplate.keys(pattern);
     * 获得缓存的基本对象。
     * @param keys 缓存键值
     * @return 缓存键值对应的数据
    public <T> List<T> getCacheObjects(final Collection<String> keys) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        return operation.multiGet(keys);
     * 获得缓存的基本对象。
     * @param keys 缓存键值
     * @return 缓存键值对应的数据
    public List<RealtimeData> getCacheRealtime(final Collection<String> keys) {
        ValueOperations<String, LinkedHashMap> operation = redisTemplate.opsForValue();
        List<LinkedHashMap> datas = operation.multiGet(keys);
        List<RealtimeData> realtimeDatas = new ArrayList<RealtimeData>();
        for (LinkedHashMap<String, Object> data : datas) {
            if (data != null) {
                String tag = data.get("tag").toString();
                int q = Integer.parseInt(data.get("q").toString());
                long t = Long.parseLong(data.get("t").toString());
                double v = Double.parseDouble(data.get("v").toString());
                RealtimeData d = new RealtimeData(tag, q, v, t);
                realtimeDatas.add(d);
        return realtimeDatas;
}