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From: Apache Wiki <wikidiffs@apache.org>
To: Apache Wiki <wikidiffs@apache.org>
Date: Mon, 13 Feb 2012 20:35:30 -0000
Message-ID: <20120213203530.61637.57884@eos.apache.org>
Subject: 
 =?utf-8?q?=5BCouchdb_Wiki=5D_Update_of_=22Why_are_all_Views_in_a_single_I?=
 =?utf-8?q?ndex=22_by_BenjaminYoung?=
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The "Why are all Views in a single Index" page has been changed by Benjamin=
Young:
http://wiki.apache.org/couchdb/Why%20are%20all%20Views%20in%20a%20single%20=
Index

Comment:
initial text by Filipe Manana

New page:
=3D Why are all Views in a single Index =3D
by [[http://fdmanana.wordpress.com/|Filipe Manana]]

Each view basically corresponds to 1 btree. All live in the same file. Othe=
r than saving the number of file descriptors and possibly, some OS page cac=
hing benefits, and simpler code, I don't think there's more benefits.

Now the real benefit comes when in the same ddoc you have 2 (or more) views=
 with the same map function. For example:

{{{
view1: {
  "map":
    "function(doc) {
       if (doc.type =3D=3D=3D 'foo') {
         emit(key, value);
       }
     }",
  "reduce": "_count"
}
}}}
{{{
view2: {
  "map":
    "function(doc) {
       if (doc.type =3D=3D=3D 'foo') {
         emit(key, value);
       }
     }",
  "reduce": "_sum"
}
}}}
Here view1 and view2 have exactly the same map function. Would they be in d=
ifferent ddocs, we would have 2 btrees (in 2 different files) for exactly t=
he same data. Now, if they're in the ddoc, we use 1 btree only but with 2 d=
ifferent reduce values - this saves disk space and update time (1 only upda=
te 1 btree instead of 2) - of course, this is easy only because we use 1 si=
ngle file for a ddoc with multiple views.