1) If in case of failure, the spout will retry from the start, even for the
bolts that didn't ack, then what is the  point of acking?
2) What happens when there is a chain of bolt, e.g.
spout1 --> bolt1 --> bolt2 --> bolt 3 --> bolt4 --> destination

What happens if bolt4 fails, for whatever reason to deliver the tuples to
the destination? Does the spout retries?

On Tue, Nov 18, 2014 at 12:42 AM, Kobi Salant <ko...@liveperson.com> wrote:

> Hi,
>
> The acking retry mechanism is based on the original tuple which left the
> spout. If it fails due to timeout or failure the spout will retry it from
> the start, it will not retry only the bolts that were not acking.
>
> You can try to save the IDs in each bolt and ignore them if they reappear.
>
> Kobi
>
> On Mon, Nov 17, 2014 at 9:40 PM, clay teahouse <clayteaho...@gmail.com>
> wrote:
>
>> Just to clarify  my question regarding the ack:
>>
>> With the use case I mentioned, it should have said  What is the default
>> behavior with regard to acking in bolts and how the concept of offset and
>> acking interact? Is it possible to not ack in a bolt to achieve the outcome
>> I am looking for.
>>
>> thanks.
>>
>> On Mon, Nov 17, 2014 at 12:49 PM, clay teahouse <clayteaho...@gmail.com>
>> wrote:
>>
>>> Hello All,
>>> I am using kafka spout that comes with storm 0.9.3 (
>>> https://github.com/apache/storm).
>>> I am having several different bolts consuming the same tuples from the
>>> spout (in the same topology). These bolts process the tuples and send the
>>> output to different destinations. I have a couple of basic questions:
>>> 1) What happens if the destination for some of the bolts is not
>>> accessible? I can have a mechanism in each bolt that returns without
>>> consuming any tuple if the destination is not available. But what happens
>>> to the tuples at hand and when is the next execute is invoked.
>>>      - Do I need to have the destination availability check in a loop?
>>>      - Do I need to keep track of the offset?
>>> 2) Is it possible to ack in the bolts.
>>>
>>> thanks,
>>> Clay
>>>
>>
>>
>
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