Tough one in that if your events are keyed on time alone, you will hit a hot
spot on write. Reads,not so much...
TSDB would be a good start ...
You may not need 'buckets' but just a time stamp and set up a start and stop
key values.
Sent from a remote device. Please excuse any typos...
Mike Segel
On Jan 28, 2013, at 7:06 AM, Oleg Ruchovets <oruchov...@gmail.com> wrote:
> Hi ,
>
> I have such row data structure:
>
> event_id | time
> =============
> event1 | 10:07
> event2 | 10:10
> event3 | 10:12
>
> event4 | 10:20
> event5 | 10:23
> event6 | 10:25
>
>
> Numbers of records is 50-100 million.
>
>
> Question:
>
> I need to find group of events starting form eventX and enters to the time
> window bucket = T.
>
>
> For example: if T=7 munutes.
> Starting from event event1- {event1, event2 , event3} were detected durint
> 7 minutes.
>
> Starting from event event2- {event2 , event3} were detected durint 7
> minutes.
>
> Starting from event event4 - {event4, event5 , event6} were detected during
> 7 minutes.
> Is there a way to model the data in hbase to get?
>
> Thanks
