Mongo aggregation within intervals of time

Question

I have some log data stored in a mongo collection that includes basic information as a request_id and the time it was added to the collection, for example:

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Answer 1

a pointer in lieu of a concrete answer. you can very easily do it for minutes, hours and given periods using the date aggregations . every 10 minutes will be a bit trickier but likely possible with some wrangling. nevertheless, the aggregation will be slow as nuts on large data sets.

i would suggest extracting the minutes post-insert

{
    "_id" : ObjectId("55ae6ea558a5d3fe018b4568"),
    "request_id" : "030ac9f1-aa13-41d1-9ced-2966b9a6g5c3",
    "time" : ISODate("2015-07-21T16:00:00.00Z"),
    "minutes": 16
}

and even though it sounds utterly absurd adding quartiles and sextiles or whatever that N might be.

{
    "_id" : ObjectId("55ae6ea558a5d3fe018b4568"),
    "request_id" : "030ac9f1-aa13-41d1-9ced-2966b9a6g5c3",
    "time" : ISODate("2015-07-21T16:00:00.00Z"),
    "minutes": 16,
    "quartile: 1,
    "sextile: 2,
}

first try doing a $div on the minutes. doesnt do ceil and floor. but check out

Is there a floor function in Mongodb aggregation framework?