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问题:
Lets say I have a Collection of users. Is there a way of using mongoid to find n random users in the collection where it does not return the same user twice? For now lets say the user collection looks like this:
class User
include Mongoid::Document
field :name
end
Simple huh?
Thanks
回答1:
The best solution is going to depend on the expected size of the collection.
For tiny collections, just get all of them and .shuffle.slice!
For small sizes of n, you can get away with something like this:
result = (0..User.count-1).sort_by{rand}.slice(0, n).collect! do |i| User.skip(i).first end
For large sizes of n, I would recommend creating a "random" column to sort by. See here for details: http://cookbook.mongodb.org/patterns/random-attribute/ https://github.com/mongodb/cookbook/blob/master/content/patterns/random-attribute.txt
回答2:
If you just want one document, and don't want to define a new criteria method, you could just do this:
random_model = Model.skip(rand(Model.count)).first
If you want to find a random model based on some criteria:
criteria = Model.scoped_whatever.where(conditions) # query example
random_model = criteria.skip(rand(criteria.count)).first
回答3:
MongoDB 3.2 comes to the rescue with $sample
(link to doc)
EDIT : The most recent of Mongoid has implemented $sample, so you can call YourCollection.all.sample(5)
Previous versions of mongoid
Mongoid doesn't support sample
until Mongoid 6, so you have to run this aggregate query with the Mongo driver :
samples = User.collection.aggregate([ { '$sample': { size: 3 } } ])
# call samples.to_a if you want to get the objects in memory
What you can do with that
I believe the functionnality should make its way soon to Mongoid, but in the meantime
module Utility
module_function
def sample(model, count)
ids = model.collection.aggregate([
{ '$sample': { size: count } }, # Sample from the collection
{ '$project': { _id: 1} } # Keep only ID fields
]).to_a.map(&:values).flatten # Some Ruby magic
model.find(ids)
end
end
Utility.sample(User, 50)
回答4:
If you really want simplicity you could use this instead:
class Mongoid::Criteria
def random(n = 1)
indexes = (0..self.count-1).sort_by{rand}.slice(0,n).collect!
if n == 1
return self.skip(indexes.first).first
else
return indexes.map{ |index| self.skip(index).first }
end
end
end
module Mongoid
module Finders
def random(n = 1)
criteria.random(n)
end
end
end
You just have to call User.random(5)
and you'll get 5 random users.
It'll also work with filtering, so if you want only registered users you can do User.where(:registered => true).random(5)
.
This will take a while for large collections so I recommend using an alternate method where you would take a random division of the count (e.g.: 25 000 to 30 000) and randomize that range.
回答5:
You can do this by
- generate random offset which will further satisfy to pick the next n
elements (without exceeding the limit)
- Assume count is 10, and the n is 5
- to do this check the given n is less than the total count
- if no set the offset to 0, and go to step 8
- if yes, subtract the n from the total count, and you will get a number 5
- Use this to find a random number, the number definitely will be from 0 to 5 (Assume 2)
- Use the random number 2 as offset
- now you can take the random 5 users by simply passing this offset and the n (5) as a limit.
- now you get users from 3 to 7
code
>> cnt = User.count
=> 10
>> n = 5
=> 5
>> offset = 0
=> 0
>> if n<cnt
>> offset = rand(cnt-n)
>> end
>> 2
>> User.skip(offset).limit(n)
and you can put this in a method
def get_random_users(n)
offset = 0
cnt = User.count
if n < cnt
offset = rand(cnt-n)
end
User.skip(offset).limit(n)
end
and call it like
rand_users = get_random_users(5)
hope this helps
回答6:
Since I want to keep a criteria, I do:
scope :random, ->{
random_field_for_ordering = fields.keys.sample
random_direction_to_order = %w(asc desc).sample
order_by([[random_field_for_ordering, random_direction_to_order]])
}
回答7:
Just encountered such a problem. Tried
Model.all.sample
and it works for me
回答8:
The approach from @moox is really interesting but I doubt that monkeypatching the whole Mongoid is a good idea here. So my approach is just to write a concern Randomizable
that can included in each model you use this feature. This goes to app/models/concerns/randomizeable.rb
:
module Randomizable
extend ActiveSupport::Concern
module ClassMethods
def random(n = 1)
indexes = (0..count - 1).sort_by { rand }.slice(0, n).collect!
return skip(indexes.first).first if n == 1
indexes.map { |index| skip(index).first }
end
end
end
Then your User
model would look like this:
class User
include Mongoid::Document
include Randomizable
field :name
end
And the tests....
require 'spec_helper'
class RandomizableCollection
include Mongoid::Document
include Randomizable
field :name
end
describe RandomizableCollection do
before do
RandomizableCollection.create name: 'Hans Bratwurst'
RandomizableCollection.create name: 'Werner Salami'
RandomizableCollection.create name: 'Susi Wienerli'
end
it 'returns a random document' do
srand(2)
expect(RandomizableCollection.random(1).name).to eq 'Werner Salami'
end
it 'returns an array of random documents' do
srand(1)
expect(RandomizableCollection.random(2).map &:name).to eq ['Susi Wienerli', 'Hans Bratwurst']
end
end
回答9:
I think it is better to focus on randomizing the returned result set so I tried:
Model.all.to_a.shuffle
Hope this helps.