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From Susan Zhang <suchenz...@gmail.com>
Subject Re: Spark Streaming Checkpointing Restarts with 0 Event Batches
Date Tue, 25 Aug 2015 18:40:20 GMT
Yeah. All messages are lost while the streaming job was down.

On Tue, Aug 25, 2015 at 11:37 AM, Cody Koeninger <cody@koeninger.org> wrote:

> Are you actually losing messages then?
>
> On Tue, Aug 25, 2015 at 1:15 PM, Susan Zhang <suchenzang@gmail.com> wrote:
>
>> No; first batch only contains messages received after the second job
>> starts (messages come in at a steady rate of about 400/second).
>>
>> On Tue, Aug 25, 2015 at 11:07 AM, Cody Koeninger <cody@koeninger.org>
>> wrote:
>>
>>> Does the first batch after restart contain all the messages received
>>> while the job was down?
>>>
>>> On Tue, Aug 25, 2015 at 12:53 PM, suchenzang <suchenzang@gmail.com>
>>> wrote:
>>>
>>>> Hello,
>>>>
>>>> I'm using direct spark streaming (from kafka) with checkpointing, and
>>>> everything works well until a restart. When I shut down (^C) the first
>>>> streaming job, wait 1 minute, then re-submit, there is somehow a series
>>>> of 0
>>>> event batches that get queued (corresponding to the 1 minute when the
>>>> job
>>>> was down). Eventually, the batches would resume processing, and I would
>>>> see
>>>> that each batch has roughly 2000 events.
>>>>
>>>> I see that at the beginning of the second launch, the checkpoint dirs
>>>> are
>>>> found and "loaded", according to console output.
>>>>
>>>> Is this expected behavior? It seems like I might've configured something
>>>> incorrectly, since I would expect with checkpointing that the streaming
>>>> job
>>>> would resume from checkpoint and continue processing from there (without
>>>> seeing 0 event batches corresponding to when the job was down).
>>>>
>>>> Also, if I were to wait > 10 minutes or so before re-launching, there
>>>> would
>>>> be so many 0 event batches that the job would hang. Is this merely
>>>> something
>>>> to be "waited out", or should I set up some restart behavior/make a
>>>> config
>>>> change to discard checkpointing if the elapsed time has been too long?
>>>>
>>>> Thanks!
>>>>
>>>> <
>>>> http://apache-spark-user-list.1001560.n3.nabble.com/file/n24450/Screen_Shot_2015-08-25_at_10.png
>>>> >
>>>>
>>>>
>>>>
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>>>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>>>
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>>>
>>
>

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