[jira] [Created] (SPARK-3571) Spark standalone cluster mode doesn't work.

["Kousuke Saruta (JIRA)" <ji...@apache.org>]

Kousuke Saruta created SPARK-3571:
-------------------------------------

             Summary: Spark standalone cluster mode doesn't work.
                 Key: SPARK-3571
                 URL: https://issues.apache.org/jira/browse/SPARK-3571
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 1.2.0
            Reporter: Kousuke Saruta
            Priority: Blocker


Recent changes of Master.scala causes Spark standalone cluster mode not working.

I think, the loop in Master#schedule never assign worker for driver.

{code}
    for (driver <- waitingDrivers.toList) { // iterate over a copy of waitingDrivers
      // We assign workers to each waiting driver in a round-robin fashion. For each driver, we
      // start from the last worker that was assigned a driver, and continue onwards until we have
      // explored all alive workers.
      curPos = (curPos + 1) % aliveWorkerNum
      val startPos = curPos
      var launched = false
      while (curPos != startPos && !launched) {
        val worker = shuffledAliveWorkers(curPos)
        if (worker.memoryFree >= driver.desc.mem && worker.coresFree >= driver.desc.cores) {
          launchDriver(worker, driver)
          waitingDrivers -= driver
          launched = true
        }
        curPos = (curPos + 1) % aliveWorkerNum
      }

{code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org