Scala多线程初始化redis集群

话不多说，上代码：

def multiThreadInitialization(): Unit = {
     
  var coreSize = Runtime.getRuntime.availableProcessors() + 1;
  var threadPool:ExecutorService = Executors.newFixedThreadPool(coreSize);
  // 这里为了处理JedisConnector初始化时间过长问题
  val jedisCluster = JedisUtils.getJedisConnector();
  val map = jedisCluster.hgetAll("feature_platform_redisConfig")
  var countDownLatch = new CountDownLatch(map.size())
  logger.info("获取集群数据: " + map.toString)
  var startTime = System.currentTimeMillis()

  map.asScala.foreach {
     
    case (k, v) =>
      threadPool.execute(new Runnable {
     
        override def run(): Unit = {
     
          val meta = new com.riemann.ai.data.feature.redis.RedisFeatureMeta[java.lang.String] (
            new JedisClusterName(k, v),
            "test{imei}",
            "test{imei}",
            "",
            "test",
            false,
            SerializeType.STRING)
          try {
     
            val value = meta.get("0", "0")
            logger.info(s"集群:${k} ${v} 初始化成功:" + value)
          } catch {
     
            case e: Exception =>
              logger.error(e.getMessage)
              logger.error(s"集群：${k} ${v} 初始化失败！！！")
          } finally {
     
            countDownLatch.countDown()
          }
        }
      })
  }
  countDownLatch.await()
  logger.info("集群初始化总耗时: " + (System.currentTimeMillis() - startTime))
}