Github user tgravescs commented on a diff in the pull request:
https://github.com/apache/spark/pull/3765#discussion_r23250764
--- Diff:
yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
@@ -115,26 +107,35 @@ private[yarn] class YarnAllocator(
new ThreadFactoryBuilder().setNameFormat("ContainerLauncher
#%d").setDaemon(true).build())
launcherPool.allowCoreThreadTimeOut(true)
- def getNumExecutorsRunning: Int = numExecutorsRunning.intValue
+ private val driverUrl = "akka.tcp://sparkDriver@%s:%s/user/%s".format(
+ sparkConf.get("spark.driver.host"),
+ sparkConf.get("spark.driver.port"),
+ CoarseGrainedSchedulerBackend.ACTOR_NAME)
+
+ // For testing
+ private val launchContainers =
sparkConf.getBoolean("spark.yarn.launchContainers", true)
+
+ def getNumExecutorsRunning: Int = numExecutorsRunning
+
+ def getNumExecutorsFailed: Int = numExecutorsFailed
- def getNumExecutorsFailed: Int = numExecutorsFailed.intValue
+ /**
+ * Number of container requests that have not yet been fulfilled.
+ */
+ def getNumPendingAllocate: Int = getNumPendingAtLocation(ANY_HOST)
+
+ /**
+ * Number of container requests at the given location that have not yet
been fulfilled.
+ */
+ private def getNumPendingAtLocation(location: String): Int =
+ amClient.getMatchingRequests(RM_REQUEST_PRIORITY, location,
resource).map(_.size).sum
/**
* Request as many executors from the ResourceManager as needed to reach
the desired total.
* This takes into account executors already running or pending.
--- End diff --
perhaps update this comment since we are no longer calculating based on the
num pending, executing, etc.
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