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[SPARK-3411] Improve load-balancing of concurrently-submitted drivers across workers #1106

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18 changes: 15 additions & 3 deletions core/src/main/scala/org/apache/spark/deploy/master/Master.scala
Original file line number Diff line number Diff line change
Expand Up @@ -481,13 +481,25 @@ private[spark] class Master(
if (state != RecoveryState.ALIVE) { return }

// First schedule drivers, they take strict precedence over applications
val shuffledWorkers = Random.shuffle(workers) // Randomization helps balance drivers
for (worker <- shuffledWorkers if worker.state == WorkerState.ALIVE) {
for (driver <- List(waitingDrivers: _*)) { // iterate over a copy of waitingDrivers
// Randomization helps balance drivers
val shuffledAliveWorkers = Random.shuffle(workers.toSeq.filter(_.state == WorkerState.ALIVE))
val aliveWorkerNum = shuffledAliveWorkers.size
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These variables are now misnamed. These are no longer just "aliveWorkers"

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Is there any value to keeping workers whose state is not WorkerState.ALIVE in the array of shuffled workers, or should this be:

val shuffledAliveWorkers = Random.shuffle(workers.toSeq.filter(_.state == WorkerState.ALIVE))

var curPos = 0
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
}
}

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