On Thu, Dec 13, 2007 at 11:31:49AM -0800, Ted Dunning wrote: > After indexing, indexes are moved to multiple query servers. The indexes on > the local query servers are all on local disk. > > There are two dimensions to scaling search. The first dimension is query > rate. To get that scaling, you simply replicate your basic search operator > and balance using a simple load balancer. > > The second dimension is collection size. If you have more than about 20 > million documents, you need to have several machines cooperate in a search. > To scale in this dimension you have front end engines that do multi-searches > against farms that each scale in the first dimension using load balancing. > You need load balancing in front of your front end engines as well. > > With this architecture, you get good scaling in both queries per second and > collection size and you maintain full HA.
Will that be correct if I would assume the things you described above are out of scope of Hadoop? -- Eugene N Dzhurinsky
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