I have a mongo table that has statistical data like the following….
- course_id
- status
which is a string, played or completed - and timestamp information using Mongoid’s Timestamping feature
so my class is as follows…
class Statistic
include Mongoid::Document
include Mongoid::Timestamps
include Mongoid::Paranoia
field :course_id, type: Integer
field :status, type: String # currently this is either play or complete
I want to get a daily count of total # of plays for a course. So for example…
8/1/12 had 2 plays, 8/2/12 had 6 plays. Etc. I would therefore be using the created_at timestamp field, with course_id and action. The issue is I don’t see a group by method in Mongoid. I believe mongodb has one now, but I’m unsure of how that would be done in rails 3.
I could run through the table using each, and hack together some map or hash in rails with incrementation, but what if the course has 1 million views, retrieving and iterating over a million records could be messy. Is there a clean way to do this?
As mentioned in comments you can use map/reduce for this purpose. So you could define the following method in your model ( http://mongoid.org/en/mongoid/docs/querying.html#map_reduce )
which would result in following result:
where
_idis thecourse_idandcountis the number of plays.There is also dedicated group method in MongoDB but I am not sure how to get to the bare mongodb collection in Mongoid 3. I did not have a chance to dive into code that much yet.
You may wonder why I emit a document
{count: 1}as it does not matter that much and I could have just emitted empty document or anything and then always add 1 to the result.count for every value. The thing is that reduce is not called if only one emit has been done for particular key (in my examplecourse_idhas been played only once) so it is better to emit documents in the same format as result.