Hello Anil, Can you go to Solr Admin Panel -> Dashboard and share all 4 memory parameters under System / share the snapshot. ?
Thanks, Susheel On Mon, Mar 14, 2016 at 5:36 AM, Anil <anilk...@gmail.com> wrote: > HI Toke and Jack, > > Please find the details below. > > * How large are your 3 shards in bytes? (total index across replicas) > -- *146G. i am using CDH (cloudera), not sure how to check the > index size of each collection on each shard* > * What storage system do you use (local SSD, local spinning drives, remote > storage...)? *Local (hdfs) spinning drives* > * How much physical memory does your system have? *we have 15 data nodes. > multiple services installed on each data node (252 GB RAM for each data > node). 25 gb RAM allocated for solr service.* > * How much memory is free for disk cache? *i could not find.* > * How many concurrent queries do you issue? *very less. i dont see any > concurrent queries to this file_collection for now.* > * Do you update while you search? *Yes.. its very less.* > * What does a full query (rows, faceting, grouping, highlighting, > everything) look like? *for the file_collection, rows - 100, highlights = > false, no facets, expand = false.* > * How many documents does a typical query match (hitcount)? *it varies with > each file. i have sort on int field to order commands in the query.* > > we have two sets of collections on solr cluster ( 17 data nodes) > > 1. main_collection - collection created per year. each collection uses 8 > shards 2 replicas ex: main_collection_2016, main_collection_2015 etc > > 2. file_collection (where files having commands are indexed) - collection > created per 2 years. it uses 3 shards and 2 replicas. ex : > file_collection_2014, file_collection_2016 > > The slowness is happening for file_collection. though it has 3 shards, > documents are available in 2 shards. shard1 - 150M docs and shard2 has 330M > docs , shard3 is empty. > > main_collection is looks good. > > please let me know if you need any additional details. > > Regards, > Anil > > > On 13 March 2016 at 21:48, 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 > >> > > >> > > > > >
