Hi Tom Burton-West. Sorry looks my email ISP filtered out your replies. I checked web version of mailing list and saw your reply.
My query string is always simple like "design", "principle of design", "tom" EG: URL: http://localhost:7550/solr/select/?q=design&version=2.2&start=0&rows=10&indent=on Response: <response> − <lst name="responseHeader"> <int name="status">0</int> <int name="QTime">16</int> − <lst name="params"> <str name="indent">on</str> <str name="start">0</str> <str name="q">design</str> <str name="version">2.2</str> <str name="rows">10</str> </lst> </lst> − <result name="response" numFound="5981" start="0"> − <doc> <str name="id">product_208619</str> </doc> EG: http://localhost:7550/solr/select/?q=Principle&version=2.2&start=0&rows=10&indent=on <response> − <lst name="responseHeader"> <int name="status">0</int> <int name="QTime">94</int> − <lst name="params"> <str name="indent">on</str> <str name="start">0</str> <str name="q">Principle</str> <str name="version">2.2</str> <str name="rows">10</str> </lst> </lst> − <result name="response" numFound="104" start="0"> − <doc> <str name="id">product_56926</str> </doc> As I am querying over single core and other cores are not querying at same time. The QTime looks good. But when I query the distributed node: (For this case, 6422ms is still a not bad one. Many cost ~20s) URL: http://localhost:7499/solr/select/?q=the+first+world+war&version=2.2&start=0&rows=10&indent=on&debugQuery=true Response: <response> − <lst name="responseHeader"> <int name="status">0</int> <int name="QTime">6422</int> − <lst name="params"> <str name="debugQuery">true</str> <str name="indent">on</str> <str name="start">0</str> <str name="q">the first world war</str> <str name="version">2.2</str> <str name="rows">10</str> </lst> </lst> − <result name="response" numFound="4231" start="0"> Actually I am thinking and testing a solution: As I believe the bottleneck is in harddisk and all our indexes add up is about 10-15G. What about I just add another 16G memory to my server then use "MemDisk" to map a memory disk and put all my indexes into it. Then each time, solr/jetty need to load index from harddisk, it is loading from memory. This should give solr the most throughout and avoid the harddisk access delay. I am testing .... But if there are way to make solr use better use our limited resource to avoid adding new ones. that would be great.
