I have a mongo table that has statistical data like the following....
which is a string, played or completed
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 )
def self.today
map = %Q{
function() {
emit(this.course_id, {count: 1})
}
}
reduce = %Q{
function(key, values) {
var result = {count: 0};
values.forEach(function(value) {
result.count += value.count;
});
return result;
}
}
self.where(:created_at.gt => Date.today, status: "played").
map_reduce(map, reduce).out(inline: true)
end
which would result in following result:
[{"_id"=>1.0, "value"=>{"count"=>2.0}}, {"_id"=>2.0, "value"=>{"count"=>1.0}}]
where _id
is the course_id
and count
is 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 example course_id
has been played only once) so it is better to emit documents in the same format as result.
Using Mongoid
stages = [{
"$group" => { "_id" => { "date_column_name"=>"$created_at" }},
"plays_count" => { "$sum" => 1 }
}]
@array_of_objects = ModelName.collection.aggregate(stages, {:allow_disk_use => true})
OR
stages = [{
"$group" => {
"_id" => {
"year" => { "$year" => "$created_at" },
"month" => { "$month" => "$created_at" },
"day" => { "$dayOfMonth" => "$created_at" }
}
},
"plays_count" => { "$sum" => 1 }
}]
@array_of_objects = ModelName.collection.aggregate(stages, {:allow_disk_use => true})
Follow the links below to group by using mongoid
https://taimoorchangaizpucitian.wordpress.com/2016/01/08/mongoid-group-by-query/ https://docs.mongodb.org/v3.0/reference/operator/aggregation/group/