Thank you Mark,

in your word “time based indexes”, is that means create one index every day? if 
I index my data in this way, i have to specify which index to search when 
create query in my java client, based on the “from” and “to”.






Sent from Surface





From: Mark Walkom
Sent: ‎Friday‎, ‎August‎ ‎1‎, ‎2014 ‎11‎:‎02‎ ‎AM
To: [email protected]





If you're using time series data then it makes sense to use time based indexes.




Regards,
Mark Walkom

Infrastructure Engineer
Campaign Monitor
email: [email protected]
web: www.campaignmonitor.com



On 1 August 2014 12:43, David Pilato <[email protected]> wrote:



Well. I guess it depends on your query. What does it look like?


--

David ;-)

Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs





Le 1 août 2014 à 04:14, "Wang Yong" <[email protected]> a écrit :







Hi folks, I have an index storing lots of time serial data. The data are put 
into index by :

 

curl -XPUT 'localhost:9200/testindex/action1/1?pretty' -d '

{

    "val": 23,

    "timestamp": 1406822400

}'

 

And the only thing I search in this index is histogram facet in a very short 
time range, like “recent 5 min”. I found that the performance was pretty good 
at first. But when the index get bigger, the performance dropped to 
unacceptable. I found the IO maybe the bottleneck by checking the result of 
iostat.

 

My question is, even I only facet in a very short time range, why the size of 
index has so big impact on the performance of such query? Do I have to use 
daily index, just like logstash?

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