MapReduce tends to be used for massive (re)indexing.
for how Lucene/Solr people are using MapReduce.
For example, in a recent project we used MapReduce (streaming with jruby,
actually) together with Solr (Embedded version, to be more precise) to speed up
indexing of a 20 GB index that used to take a couple of hours. Now it takes 7
minutes, because it's parallelized to Nth degree.
MapReduce can also be used for various Machine Learning data crunching, say for
query log analysis, for content analysis, for NLP, for building of better
relevance models for search, etc. etc. See http://mahout.apache.org
----Sematext :: http://sematext.com/
:: Solr - Lucene - Nutch
Lucene ecosystem search :: http://search-lucene.com/
----- Original Message ----
From: "firstname.lastname@example.org" <email@example.com>
Sent: Fri, July 30, 2010 2:23:49 AM
Subject: Re: MapReduce Usage in Search Engines
I have a basic query regarding Mapreduce usage in search
engines. My queries are:
1.How Map-Reduce is used in search?
2.Is Google uses Mapreduce algorithm for its search engine? Then how they
use it? Explain the architecture or flow of how google or other search
engines work and what is the part of mapreduce in it.....................
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