alirezazamani commented on a change in pull request #1422:
URL: https://github.com/apache/helix/pull/1422#discussion_r500409535
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File path:
helix-core/src/main/java/org/apache/helix/task/AbstractTaskDispatcher.java
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@@ -122,30 +122,37 @@ public void updatePreviousAssignedTasksStatus(
Set<Integer> donePartitions = new TreeSet<>();
for (int pId : pSet) {
final String pName = pName(jobResource, pId);
- TaskPartitionState currState =
updateJobContextAndGetTaskCurrentState(currStateOutput,
+ TaskPartitionState currState = getTaskCurrentState(currStateOutput,
jobResource, pId, pName, instance, jobCtx, jobTgtState);
- if (!instance.equals(jobCtx.getAssignedParticipant(pId))) {
- LOG.warn(
- "Instance {} does not match the assigned participant for pId {}
in the job context. Skipping task scheduling.",
- instance, pId);
- continue;
- }
-
// Check for pending state transitions on this (partition, instance).
If there is a pending
// state transition, we prioritize this pending state transition and
set the assignment from
// this pending state transition, essentially "waiting" until this
pending message clears
+ // If there is a pending message, we should not continue to update the
context because from
+ // controller prospective, state transition has not been completed yet
if pending message
+ // still existed.
+ // If context gets updated here, controller might remove the job from
RunTimeJobDAG which
+ // can cause the task's CurrentState not being removed when there is a
pending message for
+ // that task.
Message pendingMessage =
currStateOutput.getPendingMessage(jobResource, new
Partition(pName), instance);
- if (pendingMessage != null &&
!pendingMessage.getToState().equals(currState.name())) {
- // If there is a pending message whose destination state is
different from the current
- // state, just make the same assignment as the pending message. This
is essentially
- // "waiting" until this state transition is complete
+ if (pendingMessage != null) {
processTaskWithPendingMessage(pId, pName, instance, pendingMessage,
jobState, currState,
paMap, assignedPartitions);
continue;
}
Review comment:
It is related to legacy code. Previously, when a job is completed,
failed, or timed out, IS would be deleted by the controller. In the next
pipeline, since the Ideal state does not exist but the current state exists, we
go to legacy code and drop the remaining current states.
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