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On Tue, Sep 30, 2014 at 6:21 AM, Whitney Sorenson <[email protected]>
wrote:

> That makes sense and I suppose your first sentence was the real
> summary/confirmation of the change in 0.20 that I was looking for.
>
> A quick question - can we trust that the taskStatus objects sent as a
> result of calling reconciliation themselves are the exact same object as
> was (possibly) sent before, or would they have updated timestamps?
>
>
>
>
> On Tue, Sep 30, 2014 at 4:14 AM, Benjamin Mahler <
> [email protected]> wrote:
>
>> We want reconciliation to be a process that eventually terminates.
>>
>> In <= 0.19.0, the following two cases are conflated through no update
>> being sent:
>>   (1) No state difference.
>>   (2) Master temporarily cannot reply / dropped message.
>>
>> As a result, a scheduler cannot determine when it is finished reconciling
>> (is my state correct? or was my message not processed?).
>>
>>
>> The way we want to steer frameworks to use reconciliation is as follows.
>>
>> (1) You should only need to reconcile with the master after a
>> re-registration occurs (either master failed over, or framework failed
>> over). Some frameworks may want to be more defensive against both
>> themselves and against Mesos, and may reconcile on a periodic basis (e.g.
>> hourly or daily).
>>
>> (2) Reconciliation is a process which terminates when an update has been
>> received for each task. Here is some pseudo-code that demonstrates how a
>> scheduler would implement reliable reconciliation:
>>
>>
>>     # Reconciles state against the master.
>>     # TODO: If you call this twice, it will start two reconciliation
>> cycles, instead of starting a new one.
>>     def reconcile():
>>       start_time = now()
>>       remaining_tasks = [all non terminal tasks]
>>       driver.reconcileTasks() # Implicit reconciliation, lets you
>> discover unknown tasks.
>>       delay(Seconds(30), _reconcile, start_time, remaining_tasks)
>>
>>     def _reconcile(start_time, remaining_tasks):
>>       remaining_tasks = [t for t in remaining_tasks if
>> t.latest_update_time() < start_time]
>>       if not remaining_tasks.empty():
>>         driver.reconcileTasks(remaining_tasks)
>>         delay(Seconds(30), _reconcile, start_time, remaining_tasks) #
>> TODO: Use backoff instead.
>>
>>
>> The idea is that you reconcile a set of tasks until you receive updates
>> for each one, this set will converge to become empty. You would call
>> reconcile() when a (re-)registration occurs.
>>
>> This is the model you should use in 0.20.0, there are some edge cases
>> that we'll fix for 0.21.0, but you likely will not notice them:
>> https://issues.apache.org/jira/browse/MESOS-1407
>>
>> Appreciate you starting this thread. Let me know if anything is not clear.
>>
>> Ben
>>
>> On Sun, Sep 28, 2014 at 11:58 AM, Whitney Sorenson <[email protected]
>> > wrote:
>>
>>> I'm trying to understand the changes in
>>> https://issues.apache.org/jira/browse/MESOS-1453 and the
>>> SchedulerDriver JavaDoc.
>>>
>>> In the 0.19 behavior, it made sense to me that a framework would hold
>>> onto a copy of all the latest task statuses it knew about, and could poll
>>> reconcileTasks with these statuses in order to request delivery of any lost
>>> messages (covering the case of both the framework being absent for a while
>>> or just a general loss of messages.)
>>>
>>> Is the idea behind the changes in 0.20 that a framework now need only
>>> call reconcileTasks once after registering with a master? In that case,
>>> what is the use case for having the API still take a list of taskStatus
>>> objects - so frameworks can decide that they don't want to know about
>>> unknown tasks [1379]? If frameworks should still routinely ask for missing
>>> messages - then why bother sending all updates and causing the framework to
>>> have to handle the work of routinely ignoring duplicate status updates?
>>>
>>> Thanks,
>>>
>>> -Whitney
>>>
>>>
>>
>

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