Awesome
DeepPluck
Allow you to pluck deeply into nested associations without loading a bunch of records.
Supports
- Ruby 2.3 ~ 2.7, 3.0 ~ 3.2
- Rails 3.2, 4.2, 5.0, 5.1, 5.2, 6.0, 7.0, 7.1, 7.2
Installation
Add this line to your application's Gemfile:
gem 'deep_pluck'
And then execute:
$ bundle
Or install it yourself as:
$ gem install deep_pluck
Usage
Similar to #pluck method
User.deep_pluck(:id, :name)
# SELECT `users`.`id`, `users`.`name` FROM `users`
# =>
# [
# {'id' => 1, 'name' => 'David'},
# {'id' => 2, 'name' => 'Jeremy'},
# ]
Pluck attributes from nested associations
User.deep_pluck(:name, 'posts' => :title)
# SELECT `users`.`id`, `users`.`name` FROM `users`
# SELECT `posts`.`user_id`, `posts`.`title` FROM `posts` WHERE `posts`.`user_id` IN (1, 2)
# =>
# [
# {
# 'name' => 'David' ,
# 'posts' => [
# {'title' => 'post1'},
# {'title' => 'post2'},
# ],
# },
# {
# 'name' => 'Jeremy',
# 'posts' => [
# {'title' => 'post3'},
# ],
# },
# ]
Pluck at models
user = User.find_by(name: 'David')
user.deep_pluck(:name, :posts => :title)
# =>
# {
# 'name' => 'David' ,
# :posts => [
# {'title' => 'post1'},
# {'title' => 'post2'},
# ],
# }
Compare with using #as_json
Assume the following relations:
User has_many Posts.<br> Post has_many PostComments.<br> User has_one Contact.<br>
And the following #as_json example:
User.where(:name => %w(Pearl Doggy)).includes([{:posts => :post_comments}, :contact]).as_json({
:root => false,
:only => [:name, :email],
:include => {
'posts' => {
:only => :name,
:include => {
'post_comments' => {
:only => :comment,
},
},
},
'contact' => {
:only => :address,
},
},
})
It works as expected, but is not very DRY, repeat writing include
, posts
, post_comments
so many times.
Not to mention the huge performace improvement by using #deep_pluck.
You could refactor the example with #deep_pluck:
User.where(:name => %w(Pearl Doggy)).deep_pluck(
:name,
:email,
'posts' => [:name, 'post_comments' => :comment],
'contact' => :address,
)
Better Performance
#deep_pluck return raw hash data without loading a bunch of records, so that faster than #as_json, or #select.
The following is the benchmark test on 3 users, 6 posts, where users
table have 14 columns and posts
have 6 columns. As it shows, deep_pluck
is 4x faster than as_json
.
# Repeat 500 times
# User.includes(:posts).as_json(:only => :email, :include => {:posts => {:only => :title}})
# User.deep_pluck(:email, {'posts' => :title})
user system total real
as_json 1.740000 1.230000 2.970000 ( 3.231465)
deep_pluck 0.660000 0.030000 0.690000 ( 0.880018)
The following is the benchmark test on 10000 users, where users
table have 46 columns. As it shows, deep_pluck
is 40x faster than as_json
and 4x faster than map
.
# Repeat 1 times
# User.select('account, email').map{|s| {'account' => s.account, 'email' => s.email}}
# User.select('account, email').as_json(:only => [:account, :email])
# User.deep_pluck(:account, :email)
user system total real
map 0.210000 0.000000 0.210000 ( 0.225421)
as_json 1.980000 0.060000 2.040000 ( 2.042205)
deep_pluck 0.040000 0.000000 0.040000 ( 0.051673)
Development
After checking out the repo, run bin/setup
to install dependencies. Then, run rake test
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/khiav223577/deep_pluck. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
License
The gem is available as open source under the terms of the MIT License.