lucene-solr-user mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Erick Erickson <erickerick...@gmail.com>
Subject Re: Solr Queries are very slow - Suggestions needed
Date Sun, 13 Mar 2016 18:58:21 GMT
Jack:
https://wiki.apache.org/solr/SolrPerformanceFactors
and
http://wiki.apache.org/lucene-java/ImproveSearchingSpeed

are already there, we can add to them....

Best,
Erick

On Sun, Mar 13, 2016 at 9:18 AM, Anil <anilklce@gmail.com> wrote:
> Thanks Toke and Jack.
>
> Jack,
>
> Yes. it is 480 million :)
>
> I will share the additional details soon. thanks.
>
>
> Regards,
> Anil
>
>
>
>
>
> On 13 March 2016 at 21:06, Jack Krupansky <jack.krupansky@gmail.com> wrote:
>
>> (We should have a wiki/doc page for the "usual list of suspects" when
>> queries are/appear slow, rather than need to repeat the same mantra(s) for
>> every inquiry on this topic.)
>>
>>
>> -- Jack Krupansky
>>
>> On Sun, Mar 13, 2016 at 11:29 AM, Toke Eskildsen <te@statsbiblioteket.dk>
>> wrote:
>>
>> > Anil <anilklce@gmail.com> wrote:
>> > > i have indexed a data (commands from files) with 10 fields and 3 of
>> them
>> > is
>> > > text fields. collection is created with 3 shards and 2 replicas. I have
>> > > used document routing as well.
>> >
>> > > Currently collection holds 47,80,01,405 records.
>> >
>> > ...480 million, right? Funny digit grouping in India.
>> >
>> > > text search against text field taking around 5 sec. solr is query just
>> > and
>> > > of two terms with fl as 7 fields
>> >
>> > > fileId:"file unique id" AND command_text:(system login)
>> >
>> > While not an impressive response time, it might just be that your
>> hardware
>> > is not enough to handle that amount of documents. The usual culprit is IO
>> > speed, so chances are you have a system with spinning drives and not
>> enough
>> > RAM: Switch to SSD and/or add more RAM.
>> >
>> > To give better advice, we need more information.
>> >
>> > * How large are your 3 shards in bytes?
>> > * What storage system do you use (local SSD, local spinning drives,
>> remote
>> > storage...)?
>> > * How much physical memory does your system have?
>> > * How much memory is free for disk cache?
>> > * How many concurrent queries do you issue?
>> > * Do you update while you search?
>> > * What does a full query (rows, faceting, grouping, highlighting,
>> > everything) look like?
>> > * How many documents does a typical query match (hitcount)?
>> >
>> > - Toke Eskildsen
>> >
>>

Mime
View raw message