MongoDB select count(distinct x) on an indexed column - count unique results for large data sets

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I have gone through several articles and examples, and have yet to find an efficient way to do this SQL query in MongoDB (where there are millions of rows documents)

First attempt

(e.g. from this almost duplicate question - Mongo equivalent of SQL's SELECT DISTINCT?)

db.myCollection.distinct("myIndexedNonUniqueField").length

Obviously I got this error as my dataset is huge

Thu Aug 02 12:55:24 uncaught exception: distinct failed: {
        "errmsg" : "exception: distinct too big, 16mb cap",
        "code" : 10044,
        "ok" : 0
}

Second attempt

I decided to try and do a group

db.myCollection.group({key: {myIndexedNonUniqueField: 1},
                initial: {count: 0}, 
                 reduce: function (obj, prev) { prev.count++;} } );

But I got this error message instead:

exception: group() can't handle more than 20000 unique keys

Third attempt

I haven't tried yet but there are several suggestions that involve mapReduce

e.g.

Also

It seems there is a pull request on GitHub fixing the .distinct method to mention it should only return a count, but it's still open: https://github.com/mongodb/mongo/pull/34

But at this point I thought it's worth to ask here, what is the latest on the subject? Should I move to SQL or another NoSQL DB for distinct counts? or is there an efficient way?

Update:

This comment on the MongoDB official docs is not encouraging, is this accurate?

http://www.mongodb.org/display/DOCS/Aggregation#comment-430445808

Update2:

Seems the new Aggregation Framework answers the above comment... (MongoDB 2.1/2.2 and above, development preview available, not for production)

http://docs.mongodb.org/manual/applications/aggregation/

3 Answers
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