Hi shawn, I have indexed 50 million data in 5 servers. 3 servers have 8gb ram. One have 24gb and another one have 64gb ram. I was allocate 4 gb ram to solr in each machine. I am using solrcloud. My total index size is 50gb including 5 servers. Each server have 3 zookeepers. Still I didnt check about OS disk cache and heap memory. I will check and let u know shawn. If anything, pls let me know.
Thank u shawn. On Friday, April 4, 2014, Shawn Heisey-4 [via Lucene] < ml-node+s472066n4129150...@n3.nabble.com> wrote: > On 4/4/2014 1:31 AM, Sathya wrote: >> Hi All, >> >> Hi All, I am new to Solr. And i dont know how to increase the search speed >> of solrcloud. I have indexed nearly 4 GB of data. When i am searching a >> document using java with solrj, solr takes more 6 seconds to return a query >> result. Any one please help me to reduce the search query time to less than >> 500 ms. i have allocate the 4 GB ram for solr. Please let me know for >> further details about solrcloud config. > > How much total RAM do you have on the system, and how much total index > data is on that system (adding up all the Solr cores)? You've already > said that you have allocated 4GB of RAM for Solr. > > Later you said you had 50 million documents, and then you showed us a > URL that looks like SolrCloud. > > I suspect that you don't have enough RAM left over to cache your index > effectively -- the OS Disk Cache is too small. > > http://wiki.apache.org/solr/SolrPerformanceProblems > > Another possible problem, also discussed on that page, is that your Java > heap is too small. > > Thanks, > Shawn > > > > ________________________________ > If you reply to this email, your message will be added to the discussion below: > http://lucene.472066.n3.nabble.com/How-to-reduce-the-search-speed-of-solrcloud-tp4129067p4129150.html > To unsubscribe from How to reduce the search speed of solrcloud, click here. > NAML -- View this message in context: http://lucene.472066.n3.nabble.com/How-to-reduce-the-search-speed-of-solrcloud-tp4129067p4129173.html Sent from the Solr - User mailing list archive at Nabble.com.
