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rails--rails/activemodel/lib/active_model/dirty.rb

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# frozen_string_literal: true
require "active_model/attribute_mutation_tracker"
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module ActiveModel
# == Active \Model \Dirty
#
# Provides a way to track changes in your object in the same way as
# Active Record does.
#
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# The requirements for implementing ActiveModel::Dirty are:
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#
# * <tt>include ActiveModel::Dirty</tt> in your object.
# * Call <tt>define_attribute_methods</tt> passing each method you want to
# track.
# * Call <tt>[attr_name]_will_change!</tt> before each change to the tracked
# attribute.
# * Call <tt>changes_applied</tt> after the changes are persisted.
# * Call <tt>clear_changes_information</tt> when you want to reset the changes
# information.
# * Call <tt>restore_attributes</tt> when you want to restore previous data.
#
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# A minimal implementation could be:
#
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# class Person
# include ActiveModel::Dirty
#
# define_attribute_methods :name
#
# def initialize
# @name = nil
# end
#
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# def name
# @name
# end
#
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# def name=(val)
# name_will_change! unless val == @name
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# @name = val
# end
#
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# def save
# # do persistence work
#
# changes_applied
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# end
#
# def reload!
# # get the values from the persistence layer
#
# clear_changes_information
# end
#
# def rollback!
# restore_attributes
# end
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# end
#
# A newly instantiated +Person+ object is unchanged:
#
# person = Person.new
# person.changed? # => false
#
# Change the name:
#
# person.name = 'Bob'
# person.changed? # => true
# person.name_changed? # => true
# person.name_changed?(from: nil, to: "Bob") # => true
# person.name_was # => nil
# person.name_change # => [nil, "Bob"]
# person.name = 'Bill'
# person.name_change # => [nil, "Bill"]
#
# Save the changes:
#
# person.save
# person.changed? # => false
# person.name_changed? # => false
#
# Reset the changes:
#
# person.previous_changes # => {"name" => [nil, "Bill"]}
# person.name_previously_changed? # => true
# person.name_previously_changed?(from: nil, to: "Bill") # => true
# person.name_previous_change # => [nil, "Bill"]
# person.name_previously_was # => nil
# person.reload!
# person.previous_changes # => {}
#
# Rollback the changes:
#
# person.name = "Uncle Bob"
# person.rollback!
# person.name # => "Bill"
# person.name_changed? # => false
#
# Assigning the same value leaves the attribute unchanged:
#
# person.name = 'Bill'
# person.name_changed? # => false
# person.name_change # => nil
#
# Which attributes have changed?
#
# person.name = 'Bob'
# person.changed # => ["name"]
# person.changes # => {"name" => ["Bill", "Bob"]}
#
# If an attribute is modified in-place then make use of
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# <tt>[attribute_name]_will_change!</tt> to mark that the attribute is changing.
# Otherwise \Active \Model can't track changes to in-place attributes. Note
# that Active Record can detect in-place modifications automatically. You do
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# not need to call <tt>[attribute_name]_will_change!</tt> on Active Record models.
#
# person.name_will_change!
# person.name_change # => ["Bill", "Bill"]
# person.name << 'y'
# person.name_change # => ["Bill", "Billy"]
module Dirty
extend ActiveSupport::Concern
include ActiveModel::AttributeMethods
included do
attribute_method_suffix "_changed?", "_change", "_will_change!", "_was"
attribute_method_suffix "_previously_changed?", "_previous_change", "_previously_was"
attribute_method_affix prefix: "restore_", suffix: "!"
attribute_method_affix prefix: "clear_", suffix: "_change"
end
def initialize_dup(other) # :nodoc:
super
if self.class.respond_to?(:_default_attributes)
@attributes = self.class._default_attributes.map do |attr|
attr.with_value_from_user(@attributes.fetch_value(attr.name))
end
end
@mutations_from_database = nil
end
# Clears dirty data and moves +changes+ to +previous_changes+ and
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# +mutations_from_database+ to +mutations_before_last_save+ respectively.
def changes_applied
unless defined?(@attributes)
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.finalize_changes
end
@mutations_before_last_save = mutations_from_database
forget_attribute_assignments
@mutations_from_database = nil
end
# Returns +true+ if any of the attributes has unsaved changes, +false+ otherwise.
#
# person.changed? # => false
# person.name = 'bob'
# person.changed? # => true
def changed?
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.any_changes?
end
# Returns an array with the name of the attributes with unsaved changes.
#
# person.changed # => []
# person.name = 'bob'
# person.changed # => ["name"]
def changed
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.changed_attribute_names
end
# Dispatch target for <tt>*_changed?</tt> attribute methods.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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def attribute_changed?(attr_name, **options) # :nodoc:
mutations_from_database.changed?(attr_name.to_s, **options)
end
# Dispatch target for <tt>*_was</tt> attribute methods.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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def attribute_was(attr_name) # :nodoc:
mutations_from_database.original_value(attr_name.to_s)
end
# Dispatch target for <tt>*_previously_changed?</tt> attribute methods.
def attribute_previously_changed?(attr_name, **options) # :nodoc:
mutations_before_last_save.changed?(attr_name.to_s, **options)
end
# Dispatch target for <tt>*_previously_was</tt> attribute methods.
def attribute_previously_was(attr_name) # :nodoc:
mutations_before_last_save.original_value(attr_name.to_s)
end
# Restore all previous data of the provided attributes.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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def restore_attributes(attr_names = changed)
attr_names.each { |attr_name| restore_attribute!(attr_name) }
end
# Clears all dirty data: current changes and previous changes.
def clear_changes_information
@mutations_before_last_save = nil
forget_attribute_assignments
@mutations_from_database = nil
end
def clear_attribute_changes(attr_names)
attr_names.each do |attr_name|
clear_attribute_change(attr_name)
end
end
# Returns a hash of the attributes with unsaved changes indicating their original
# values like <tt>attr => original value</tt>.
#
# person.name # => "bob"
# person.name = 'robert'
# person.changed_attributes # => {"name" => "bob"}
def changed_attributes
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.changed_values
end
# Returns a hash of changed attributes indicating their original
# and new values like <tt>attr => [original value, new value]</tt>.
#
# person.changes # => {}
# person.name = 'bob'
# person.changes # => { "name" => ["bill", "bob"] }
def changes
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.changes
end
# Returns a hash of attributes that were changed before the model was saved.
#
# person.name # => "bob"
# person.name = 'robert'
# person.save
# person.previous_changes # => {"name" => ["bob", "robert"]}
def previous_changes
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_before_last_save.changes
end
def attribute_changed_in_place?(attr_name) # :nodoc:
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.changed_in_place?(attr_name.to_s)
end
private
def clear_attribute_change(attr_name)
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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mutations_from_database.forget_change(attr_name.to_s)
end
def mutations_from_database
@mutations_from_database ||= if defined?(@attributes)
ActiveModel::AttributeMutationTracker.new(@attributes)
else
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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ActiveModel::ForcedMutationTracker.new(self)
end
end
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def forget_attribute_assignments
@attributes = @attributes.map(&:forgetting_assignment) if defined?(@attributes)
end
def mutations_before_last_save
@mutations_before_last_save ||= ActiveModel::NullMutationTracker.instance
end
# Dispatch target for <tt>*_change</tt> attribute methods.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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def attribute_change(attr_name)
mutations_from_database.change_to_attribute(attr_name.to_s)
end
# Dispatch target for <tt>*_previous_change</tt> attribute methods.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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def attribute_previous_change(attr_name)
mutations_before_last_save.change_to_attribute(attr_name.to_s)
end
# Dispatch target for <tt>*_will_change!</tt> attribute methods.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
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def attribute_will_change!(attr_name)
mutations_from_database.force_change(attr_name.to_s)
end
# Dispatch target for <tt>restore_*!</tt> attribute methods.
PERF: 2x ~ 30x faster dirty tracking Currently, although using both dirty tracking (ivar backed and attributes backed) on one model is not supported (doesn't fully work at least), both dirty tracking are being performed, that is very slow. As long as attributes backed dirty tracking is used, ivar backed dirty tracking should not need to be performed. I've refactored to extract new `ForcedMutationTracker` which only tracks `force_change` to be performed for ivar backed dirty tracking, that makes dirty tracking on Active Record 2x ~ 30x faster. https://gist.github.com/kamipo/971dfe0891f0fe1ec7db8ab31f016435 Before: ``` Warming up -------------------------------------- changed? 4.467k i/100ms changed 5.134k i/100ms changes 3.023k i/100ms changed_attributes 4.358k i/100ms title_change 3.185k i/100ms title_was 3.381k i/100ms Calculating ------------------------------------- changed? 42.197k (±28.5%) i/s - 187.614k in 5.050446s changed 50.481k (±16.0%) i/s - 246.432k in 5.045759s changes 30.799k (± 7.2%) i/s - 154.173k in 5.030765s changed_attributes 51.530k (±14.2%) i/s - 252.764k in 5.041106s title_change 44.667k (± 9.0%) i/s - 222.950k in 5.040646s title_was 44.635k (±16.6%) i/s - 216.384k in 5.051098s ``` After: ``` Warming up -------------------------------------- changed? 24.130k i/100ms changed 13.503k i/100ms changes 6.511k i/100ms changed_attributes 9.226k i/100ms title_change 48.221k i/100ms title_was 96.060k i/100ms Calculating ------------------------------------- changed? 245.478k (±16.1%) i/s - 1.182M in 5.015837s changed 157.641k (± 4.9%) i/s - 796.677k in 5.066734s changes 70.633k (± 5.7%) i/s - 358.105k in 5.086553s changed_attributes 95.155k (±13.6%) i/s - 470.526k in 5.082841s title_change 566.481k (± 3.5%) i/s - 2.845M in 5.028852s title_was 1.487M (± 3.9%) i/s - 7.493M in 5.046774s ```
2019-04-08 19:28:31 -04:00
def restore_attribute!(attr_name)
attr_name = attr_name.to_s
if attribute_changed?(attr_name)
__send__("#{attr_name}=", attribute_was(attr_name))
clear_attribute_change(attr_name)
end
end
end
end