kevin85421 commented on code in PR #37411:
URL: https://github.com/apache/spark/pull/37411#discussion_r940733267
##########
core/src/main/scala/org/apache/spark/HeartbeatReceiver.scala:
##########
@@ -199,41 +222,131 @@ private[spark] class HeartbeatReceiver(sc: SparkContext,
clock: Clock)
removeExecutor(executorRemoved.executorId)
}
+ private def killExecutor(executorId: String, timeout: Long): Unit = {
+ logWarning(s"Removing executor $executorId with no recent heartbeats: " +
+ s"${timeout} ms exceeds timeout $executorTimeoutMs ms")
+ killExecutorThread.submit(new Runnable {
+ override def run(): Unit = Utils.tryLogNonFatalError {
+ // Note: we want to get an executor back after expiring this one,
+ // so do not simply call `sc.killExecutor` here (SPARK-8119)
+ sc.killAndReplaceExecutor(executorId)
+ // SPARK-27348: in case of the executors which are not gracefully shut
down,
+ // we should remove lost executors from CoarseGrainedSchedulerBackend
manually
+ // here to guarantee two things:
+ // 1) explicitly remove executor information from
CoarseGrainedSchedulerBackend for
+ // a lost executor instead of waiting for disconnect message
+ // 2) call scheduler.executorLost() underlying to fail any tasks
assigned to
+ // those executors to avoid app hang
+ sc.schedulerBackend match {
+ case backend: CoarseGrainedSchedulerBackend =>
+ backend.driverEndpoint.send(RemoveExecutor(executorId,
+ ExecutorProcessLost(
+ s"Executor heartbeat timed out after ${timeout} ms",
+ causedByApp =
!sc.conf.get(HEARTBEAT_RECEIVER_CHECK_WORKER_LAST_HEARTBEAT))))
+
+ // LocalSchedulerBackend is used locally and only has one single
executor
+ case _: LocalSchedulerBackend =>
+
+ case other => throw new UnsupportedOperationException(
+ s"Unknown scheduler backend: ${other.getClass}")
+ }
+ }
+ })
+ }
+
private def expireDeadHosts(): Unit = {
+ /**
+ * [SC-105641]
+ * Originally, the driver’s HeartbeatReceiver will expire an executor if it
does not receive any
+ * heartbeat from the executor for 120 seconds. However, 120 seconds is too
long, but we will face
+ * other challenges when we try to lower the timeout threshold. To
elaborate, when an executor is
+ * performing full GC, it cannot send/reply any message. Next paragraphs
describe the solution to
+ * detect network disconnection between driver and executor in a short time.
+ *
+ * An executor is running on a worker but in different JVMs, and a driver is
running on a master
+ * but in different JVMs. Hence, the network connection between
driver/executor and master/worker
+ * is the same. Because executor and worker are running on different JVMs,
worker can still send
+ * heartbeat to master when executor performs GC.
+ *
+ * For new Heartbeat Receiver, if driver does not receive any heartbeat from
the executor for
+ * `executorTimeoutMs` (default: 60s) seconds, HeartbeatReceiver will send a
request to master to
+ * ask for the latest heartbeat from the worker which the executor runs on
`workerLastHeartbeat`.
+ * HeartbeatReceiver can determine whether the heartbeat loss is caused by
network issues or other
+ * issues (e.g. GC). If the heartbeat loss is not caused by network issues,
the HeartbeatReceiver
+ * will put the executor into a waitingList rather than expiring it
immediately.
+ *
+ * [Note]: Definition of `network issues`
+ * Here, the definition `network issues` is the issues that related to
network directly. If the
+ * network is connected, the issues do not included in `network issues`. For
example, an
+ * executor's JVM is closed by a problematic task, so the JVM will notify
driver that the socket
+ * is closed. If the network is connected, driver will receive the
notification and trigger the
+ * function `onDisconnected`. This issue is not a `network issue` because
the network is
+ * connected.
+ *
+ * [Warning 1]
+ * Worker will send heartbeats to Master every (conf.get(WORKER_TIMEOUT) *
1000 / 4) milliseconds.
+ * Check deploy/worker/Worker.scala for more details. This new mechanism
design is based on the
+ * assumption: (executorTimeoutMs / 2) > (conf.get(WORKER_TIMEOUT) * 1000 /
4).
+ *
+ * [Warning 2]
+ * Not every deployment method schedules driver on master.
+ */
logTrace("Checking for hosts with no recent heartbeats in
HeartbeatReceiver.")
val now = clock.getTimeMillis()
- for ((executorId, lastSeenMs) <- executorLastSeen) {
- if (now - lastSeenMs > executorTimeoutMs) {
- logWarning(s"Removing executor $executorId with no recent heartbeats:
" +
- s"${now - lastSeenMs} ms exceeds timeout $executorTimeoutMs ms")
- // Asynchronously kill the executor to avoid blocking the current
thread
- killExecutorThread.submit(new Runnable {
- override def run(): Unit = Utils.tryLogNonFatalError {
- // Note: we want to get an executor back after expiring this one,
- // so do not simply call `sc.killExecutor` here (SPARK-8119)
- sc.killAndReplaceExecutor(executorId)
- // SPARK-27348: in case of the executors which are not gracefully
shut down,
- // we should remove lost executors from
CoarseGrainedSchedulerBackend manually
- // here to guarantee two things:
- // 1) explicitly remove executor information from
CoarseGrainedSchedulerBackend for
- // a lost executor instead of waiting for disconnect message
- // 2) call scheduler.executorLost() underlying to fail any tasks
assigned to
- // those executors to avoid app hang
- sc.schedulerBackend match {
- case backend: CoarseGrainedSchedulerBackend =>
- backend.driverEndpoint.send(RemoveExecutor(executorId,
- ExecutorProcessLost(
- s"Executor heartbeat timed out after ${now - lastSeenMs}
ms")))
-
- // LocalSchedulerBackend is used locally and only has one single
executor
- case _: LocalSchedulerBackend =>
-
- case other => throw new UnsupportedOperationException(
- s"Unknown scheduler backend: ${other.getClass}")
- }
+ if (!sc.conf.get(HEARTBEAT_RECEIVER_CHECK_WORKER_LAST_HEARTBEAT)) {
Review Comment:
Resolved.
##########
core/src/main/scala/org/apache/spark/internal/config/Network.scala:
##########
@@ -49,7 +49,13 @@ private[spark] object Network {
ConfigBuilder("spark.network.timeoutInterval")
.version("1.3.2")
.timeConf(TimeUnit.MILLISECONDS)
-
.createWithDefaultString(STORAGE_BLOCKMANAGER_TIMEOUTINTERVAL.defaultValueString)
+ .createWithDefaultString("15s")
+
+ private[spark] val NETWORK_EXECUTOR_TIMEOUT =
+ ConfigBuilder("spark.network.executorTimeout")
+ .version("1.3.0")
Review Comment:
Resolved.
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