• 结论
• DAGScheduler -> runJob
• DAGScheduler -> submitJob

结论

DAGScheduler -> runJob

def runJob[T, U](
  val waiter = submitJob(rdd, func, partitions, callSite, resultHandler, properties)

DAGScheduler -> submitJob

1. 将this, 新生成的jobid, 分区数 生成对象 JobWaiter
2. 将JobWatier放入阻塞队列EventLoop, EventLoop是通过内部的死循环机制，不停遍历阻塞队列，当有数据就调用onReceive方法。

  def submitJob[T, U](...): JobWaiter[U] = {
    ...
    val jobId = nextJobId.getAndIncrement()
    ...

    val waiter = new JobWaiter[U](this, jobId, partitions.size, resultHandler)
    // eventPorcessLoop 是 阻塞队列 LinkedBlockingDeque
    eventProcessLoop.post(JobSubmitted(
      jobId, rdd, func2, partitions.toArray, callSite, waiter,
      Utils.cloneProperties(properties))) // end post
    waiter
  }

标签：submitJob,...,val,waiter,jobId,DAGScheduler,Spark,源码
来源： https://www.cnblogs.com/abc608088/p/16323384.html