Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/1360#discussion_r17250755
--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
---
@@ -295,28 +295,34 @@ private[spark] class Master(
val execOption = idToApp.get(appId).flatMap(app =>
app.executors.get(execId))
execOption match {
case Some(exec) => {
+ val appInfo = idToApp(appId)
exec.state = state
+ if (state == ExecutorState.RUNNING) { appInfo.resetRetryCount() }
exec.application.driver ! ExecutorUpdated(execId, state,
message, exitStatus)
if (ExecutorState.isFinished(state)) {
- val appInfo = idToApp(appId)
// Remove this executor from the worker and app
- logInfo("Removing executor " + exec.fullId + " because it is "
+ state)
+ logInfo(s"Removing executor ${exec.fullId} because it is
$state")
appInfo.removeExecutor(exec)
exec.worker.removeExecutor(exec)
- val normalExit = exitStatus.exists(_ == 0)
+ val normalExit = exitStatus == Some(0)
// Only retry certain number of times so we don't go into an
infinite loop.
- if (!normalExit && appInfo.incrementRetryCount <
ApplicationState.MAX_NUM_RETRY) {
- schedule()
- } else if (!normalExit) {
- logError("Application %s with ID %s failed %d times,
removing it".format(
- appInfo.desc.name, appInfo.id, appInfo.retryCount))
- removeApplication(appInfo, ApplicationState.FAILED)
+ if (!normalExit) {
+ if (appInfo.incrementRetryCount() <
ApplicationState.MAX_NUM_RETRY) {
+ schedule()
+ } else {
+ val execs = idToApp(appId).executors.values
--- End diff --
You can just use the `appInfo` you declared up there
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