In C开发者_JAVA技巧ouchDB you always have to use map reduce to query results. In MongoDB you can their query methods for retrieving data, but they also let you do map-reduce.
For example, when doing Analytics, there can be a map/reduce run that takes 10 seconds.After it is run, if other webpages can make use of that result, then it will be saving 10 seconds per page.
I have some experience with Lucene, I\'m trying to understand how the data is actually stored in slave server in Hadoop framework?
The following line works: Analytic.collection.map_reduce(map, reduce).find but is there a way to do Analytic.collection.find(\'page_type\' => \'products\').map_reduce(map, reduce).find
I am working on a search engine design, which is to be run on cloud. We have just started, and have not much idea about Hdoop.
I am using Mongoid, which is on top of the Ruby MongDB driver.Even though my M开发者_如何学运维ap\'s emit is giving out a parseInt(num), and the Reduce\'s return is giving back also a parseInt(num), t
I am using Ruby code to calculate sum from the array returned by M开发者_Go百科ongoid. But maybe using Map/Reduce can be faster, except I don\'t see any docs for Map Reduce on mongoid.org and Google
I am trying to use an early experimental release of mapper implementation to empty the datastore.This solution was proposed in a similar SO question.
Is there a simple Map-Reduce library or implementation for .NET that allows a ta开发者_开发问答sk to start on one computer and be split amongst multiple worker computers, perhaps using WCF or somethin
Is it possible to use wildcards in views in CouchDB?For example, lets say I have a database that has teams, ages of players, players\' averages, and gender of players.However, the players\' ages may n
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