Highly complex M/R job with MongoDB

[Antonio]

Hi guys --

I'm looking to run a complex map reduce that will create a document
for each set of unique IPs grouped by either "twitter", "facebook" and/
or "gplus" fields.

So for the following documents:

{
ip: '194.90.1.5',
twitter: 'john1',
facebook: false,
gplus: 'jo...@gmail.com'
}

{
ip: '194.90.1.6',
twitter: false,
facebook: 'johnny',
gplus: 'jo...@GMAIL.com'
}

{
ip: '127.0.0.1',
twitter: 'john1'
facebook: 'johnny',
gplus: false,
}

{
ip: '127.0.0.1',
twitter: 'elise'
facebook: 'elise',
gplus: false,
}

I will end up with:

{
_id: new MongoId(),
values: {
ips: ['194.90.1.5', '194.90.1.6', '127.0.0.1'],
twitter: 'john1',
facebook: 'johnny',
gplus: 'jo...@gmail.com'
}
}

{
_id: new MongoId(),
values: {
ips: ['127.0.0.1'],
twitter: 'elise',
facebook: 'elise',
gplus: false
}
}

Is this at all possible?

[Eliot Horowitz]

I don't think it is based on that description?
What if there are conflicts?

The logic isn't quite setup for map/reduce.

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