Another thing to consider on your sharding is the access rate you want to guarantee.
In the project I am working, I need to guarantee at least 200hits/second with various facets in all queries. I am not using sharding, but I have 6 Solr instances per cluster node, and I have 3 nodes, to a total of 18 solr instances. Each node has only one index, so I keep the 6 instance pointing to the same the index in a given node. What made a huge diference in my performance was the removal of the lock. I expect that helps you out. 2008/8/20 Ian Connor <[EMAIL PROTECTED]> > I have based my machines on bare bones servers (I call them ghetto > servers). I essentially have motherboards in a rack sitting on > catering trays (heat resistance is key). > > http://web.mac.com/iconnor/iWeb/Site/ghetto-servers.html > > Motherboards: GIGABYTE GA-G33M-S2L (these are small mATX with 4 RAM > slots - allows as much cheap RAM as possible) > CPU: Intel Q6600 (quad core 2.4GHz - but I might try AMD next to see > if the different RAM approach works better and they are greener) > Memory: 8GB (4 x 2GB DDR2 - best price per GB) > HDD: SATA Disk (between 200 to 500GB - I had these from another project) > > I have HAProxy between the App servers and Solr so that I get failover > if one of these goes down (expect failure). > > Having only 1M documents but more data per document will mean your > situation is different. I am having particular performance issues with > facets and trying to get my head around all the issues involved there. > > I see Mike has only 2 shards per box as he was "squeezing" > performance. I didn't see any significant gain in performance but that > is not to say there isn't one. Just for me, I had a level of > performance in mind and stopped when that was met. It took almost a > month of testing to get to that point so I was ready to move on to > other problems - I might revisit it later. > > Also, my ghetto servers are getting similar reliability to the Dell > Servers I have - but I have built the system with the expectations > they will fail often although that has not happened yet. > > On Tue, Aug 19, 2008 at 4:40 PM, Alexander Ramos Jardim > <[EMAIL PROTECTED]> wrote: > > As long as Solr/Lucene makes smart use from memory (and they from my > > experiences), it is really easy to calculate how long a huge query/update > > will take when you know how much the smaller ones will take. Just keep in > > mind that the resource consumption of memory and disk space is almost > always > > proportional. > > > > 2008/8/19 Mike Klaas <[EMAIL PROTECTED]> > > > >> > >> On 19-Aug-08, at 12:58 PM, Phillip Farber wrote: > >> > >>> > >>> So you experience differs from Mike's. Obviously it's an important > >>> decision as to whether to buy more machines. Can you (or Mike) weigh > in on > >>> what factors led to your different take on local shards vs. shards > >>> distributed across machines? > >>> > >> > >> I do both; the only reason I have two shards on each machine is to > squeeze > >> maximum performance out of an equipment budget. Err on the side of > multiple > >> machines. > >> > >> At least for building the index, the number of shards really does > >>>> help. To index Medline (1.6e7 docs which is 60Gb in XML text) on a > >>>> single machine starts at about 100doc/s but slows down to 10doc/s when > >>>> the index grows. It seems as though the limit is reached once you run > >>>> out of RAM and it gets slower and slower in a linear fashion the > >>>> larger the index you get. > >>>> My sweet spot was 5 machines with 8GB RAM for indexing about 60GB of > >>>> data. > >>>> > >>> > >>> Can you say what the specs were for these machines? Given that I have > more > >>> like 1TB of data over 1M docs how do you think my machine requirements > might > >>> be affected as compared to yours? > >>> > >> > >> You are in a much better position to determine this than we are. See > how > >> big an index you can put on a single machine while maintaining > acceptible > >> performance using a typical query load. It's relatively safe to > extrapolate > >> linearly from that. > >> > >> -Mike > >> > > > > > > > > -- > > Alexander Ramos Jardim > > > > > > -- > Regards, > > Ian Connor > 1 Leighton St #605 > Cambridge, MA 02141 > Direct Line: +1 (978) 6333372 > Call Center Phone: +1 (714) 239 3875 (24 hrs) > Mobile Phone: +1 (312) 218 3209 > Fax: +1(770) 818 5697 > Suisse Phone: +41 (0) 22 548 1664 > Skype: ian.connor > -- Alexander Ramos Jardim
