[Solr Wiki] Update of "SolrPerformanceData" by Duc Lai

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The "SolrPerformanceData" page has been changed by Duc Lai:
http://wiki.apache.org/solr/SolrPerformanceData?action=diff&rev1=19&rev2=20

Comment:
Add new JobHits performance data

  See also: SolrPerformanceFactors
  
  See also: [[http://lucene.apache.org/java/2_4_0/benchmarks.html|Lucene's benchmark page]] and this page on hardware considerations [[http://wiki.statsbiblioteket.dk/summa/Hardware|from Summa]] (which is also based on Lucene)
+ 
+ == JobHits job search engine ==
+ 
+ JobHits is a Solr powered [[http://jobhits.co.uk search engine for jobs]] since the start on May 2009. JobHits has 3 localized version for UK, [[http://jobhits.net US]] and [[http://jobhits.net Canada]]. Each website run on a 2.0 GHz Dual Quad Core dedicate server with 16GB RAM. The server is used for continuously crawling new data, indexing and for the public job search site.
+ 
+ New jobs are being added to the index every 1 minutes at the rate of more than 40,000 new documents per day.
+ On the highest loaded site JobHits.co.uk, there are about 2,1 million queries to Solr at the rate of 24.235846 request per second and the average query time is only 34 ms. Below are the statistic of the standard search handler component over a 15 days period:
+ 
+ {{{
+ description:   Search using components: org.apache.solr.handler.component.CollapseComponent,org.apache.solr.handler.component.FacetComponent,org.apache.solr.handler.component.HighlightComponent,  
+ stats: 	       handlerStart : 1326769855670 
+ requests :     925736 
+ errors :       11 
+ timeouts :     0 
+ totalTime :    31520551 
+ avgTimePerRequest : 34.04918 
+ avgRequestsPerSecond : 24.235846 
+ }}}
+ 
  
  == CNET Shopper.com ==
  The numbers below are from testing done by CNET prior to launching a Solr powered [[http://www.shopper.com|Shopper.com]] search page.  Shopper.com uses a modified version of the DisMaxRequestHandler which also does some faceted searching to pick categories for the page navigation options.  On a typical request, the handler fetches the !DocSets for 1500-2000 queries and intersects each with the !DocSet for the main search results.