Hi Jörg,
I'm using ES 1.1.1, JDK7u55, RHEL5. Our documents contains only integers
between 0-1,000,000. Our query is a bit unusual as it is basically a match
query that only contains ORs and there could be up to 1,000 clauses. For
example:
{"query": {
"match":{
"num_field":{
"query":"1 2 3 4 5 99998 99999","operator":"or"}
}
}
}
When we search using less than 100 clauses, the search is pretty quick,
typically less 30ms on both "memory" and "mmap". When there are 1,000
clauses, the average is about 200ms using "memory" and about 400ms using
"mmap".
Thanks for the help.
On Wednesday, June 11, 2014 2:25:14 PM UTC-7, Jörg Prante wrote:
N.B. of course, also the response times you measured and how you measuring
them are of interest.
In my tests with ES 1.2.1 and JDK 8u5 on Mac OS X, with a test index of
1.5 mio docs, I see search times of around 1-5ms on mmapfs for random match
queries (except the first query after the node started). Index store
"memory" is not faster.
Jörg
On Wed, Jun 11, 2014 at 11:09 PM, joerg...@gmail.com <javascript:> <
joerg...@gmail.com <javascript:>> wrote:
Can you share your setup configuration, and an example document and a
query? So it is possible to recreate your situation?
Also interesting would be OS version, ES version, Java JVM version.
Thanks,
Jörg
On Wed, Jun 11, 2014 at 6:44 PM, MikeP <micha...@gmail.com <javascript:>>
wrote:
Our servers have 130 GB of RAM and we are giving Elasticsearch 30GB of
heap. Each machine contains one shard that is about 3GB with about 1.3
million documents. When we search using a match query and the "memory"
store type, the queries are about twice as fast as when we use "mmap (with
mlockall enabled)". Are there any tools to to troubleshoot the latency?
Thanks
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