Thank you Mark, if I use daily index, I have to specify multiple indexes based
on the time range. That will make my service a little more complicate.
So I am wondering, even if I put all data in one huge index, as long as I limit
the time range in my query, it looks like es will locate the data as quickly as
I do it in a much smaller daily index, cause es will not need to search through
the whole index, just need to locate the data first by the time range specified
in the query. Is that true?
Alan
From: elasticsearch@googlegroups.com [mailto:elasticsearch@googlegroups.com] On
Behalf Of Mark Walkom
Sent: 2014年7月14日 10:03
To: elasticsearch@googlegroups.com
Subject: Re: best practice wanted for huge number of index time serial data
This is pretty standard for logstash type data.
Use daily indexes, don't use TTL.
Regards,
Mark Walkom
Infrastructure Engineer
Campaign Monitor
email: ma...@campaignmonitor.com mailto:ma...@campaignmonitor.com
web: www.campaignmonitor.com http://www.campaignmonitor.com
On 14 July 2014 11:40, LiMac cnwangy...@gmail.com
mailto:cnwangy...@gmail.com wrote:
Hi folks,
I am trying to index a huge number of time serial data. The total number will
be 5k docs for one second which will continue for several months. I also need
to search these data, but only inside a very small time rage, maybe one hour.
Is there any best practice for this kind of use case?
Thanks!
Alan
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