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From John <>
Subject Reporting aggregated data using reduce function
Date Sun, 30 Jan 2011 23:55:18 GMT

I'm looking to extend our usage of couchdb  by replacing our mysql reporting db. 
Whilst using couchdb successfully for a number of varied use cases I've never had to do much
with reduce so I'm unsure on how to use it to reduce an array of values.

Basically I want to be able to search a database using a composite key and retrieving some
aggregated information about number of calls, call status, avg time to answer and avg duration

The following view shows how I'd like it to work:

Key = <Application, Account, Subscription>
Value = <1, answered, busy, noreply, time to answer, duration>


["NTS", "NetDev", "MySub1"], [1,1,0,0,100,200]
["NTS", "NetDev", "MySub1"], [1,1,0,0,150,400]
["NTS", "NetDev", "MySub1"], [1,1,0,0,170,500]
["NTS", "NetDev", "MySub1"], [1,0,1,0,0,0]
["NTS", "NetDev", "MySub1"], [1,0,1,0,0,0]
["NTS", "NetDev", "MySub1"], [1,0,0,2,0,0]
["NTS", "NetDev", "MySub1"], [1,0,0,2,0,0]

My Reduced output should look like this:

i.e. 7 calls in total, 3 answered, 2 busy, 2 no reply, the total time for time to answer is
420 and the total time for call duration is 1100. 

I can then compute the two averages after getting the data back from couch i.e. 420/no. of
answered calls(3) and 1100/no. of answered calls(3)

I thought that sum(values) would do this for me but it just upsets couch:

Reduce output must shrink more rapidly: Current output: '["001,11,11,11,11,11,11,11,11,11,11,101,11,11,11,11,11,11,11,11,11,11,11,101,11,11,11,11,11,11,11,11'...
(first 100 of 277 bytes)

What should my reduce function look like?


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