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 <anilk...@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.krupan...@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 <t...@statsbiblioteket.dk> >> wrote: >> >> > Anil <anilk...@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 >> > >>
