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HBase >> mail # user >> how to model data based on "time bucket"


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how to model data based on "time bucket"
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
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB