# frozen_string_literal: true
require_relative "batches/batch_enumerator"
module ActiveRecord
module Batches
ORDER_IGNORE_MESSAGE = "Scoped order is ignored, it's forced to be batch order."
# Looping through a collection of records from the database
# (using the Scoping::Named::ClassMethods.all method, for example)
# is very inefficient since it will try to instantiate all the objects at once.
#
# In that case, batch processing methods allow you to work
# with the records in batches, thereby greatly reducing memory consumption.
#
# The #find_each method uses #find_in_batches with a batch size of 1000 (or as
# specified by the +:batch_size+ option).
#
# Person.find_each do |person|
# person.do_awesome_stuff
# end
#
# Person.where("age > 21").find_each do |person|
# person.party_all_night!
# end
#
# If you do not provide a block to #find_each, it will return an Enumerator
# for chaining with other methods:
#
# Person.find_each.with_index do |person, index|
# person.award_trophy(index + 1)
# end
#
# ==== Options
# * <tt>:batch_size</tt> - Specifies the size of the batch. Defaults to 1000.
# * <tt>:start</tt> - Specifies the primary key value to start from, inclusive of the value.
# * <tt>:finish</tt> - Specifies the primary key value to end at, inclusive of the value.
# * <tt>:error_on_ignore</tt> - Overrides the application config to specify if an error should be raised when
# an order is present in the relation.
#
# Limits are honored, and if present there is no requirement for the batch
# size: it can be less than, equal to, or greater than the limit.
#
# The options +start+ and +finish+ are especially useful if you want
# multiple workers dealing with the same processing queue. You can make
# worker 1 handle all the records between id 1 and 9999 and worker 2
# handle from 10000 and beyond by setting the +:start+ and +:finish+
# option on each worker.
#
# # Let's process from record 10_000 on.
# Person.find_each(start: 10_000) do |person|
# person.party_all_night!
# end
#
# NOTE: It's not possible to set the order. That is automatically set to
# ascending on the primary key ("id ASC") to make the batch ordering
# work. This also means that this method only works when the primary key is
# orderable (e.g. an integer or string).
#
# NOTE: By its nature, batch processing is subject to race conditions if
# other processes are modifying the database.
def find_each(start: nil, finish: nil, batch_size: 1000, error_on_ignore: nil)
if block_given?
find_in_batches(start: start, finish: finish, batch_size: batch_size, error_on_ignore: error_on_ignore) do |records|
records.each { |record| yield record }
end
else
enum_for(:find_each, start: start, finish: finish, batch_size: batch_size, error_on_ignore: error_on_ignore) do
relation = self
apply_limits(relation, start, finish).size
end
end
end
# Yields each batch of records that was found by the find options as
# an array.
#
# Person.where("age > 21").find_in_batches do |group|
# sleep(50) # Make sure it doesn't get too crowded in there!
# group.each { |person| person.party_all_night! }
# end
#
# If you do not provide a block to #find_in_batches, it will return an Enumerator
# for chaining with other methods:
#
# Person.find_in_batches.with_index do |group, batch|
# puts "Processing group ##{batch}"
# group.each(&:recover_from_last_night!)
# end
#
# To be yielded each record one by one, use #find_each instead.
#
# ==== Options
# * <tt>:batch_size</tt> - Specifies the size of the batch. Defaults to 1000.
# * <tt>:start</tt> - Specifies the primary key value to start from, inclusive of the value.
# * <tt>:finish</tt> - Specifies the primary key value to end at, inclusive of the value.
# * <tt>:error_on_ignore</tt> - Overrides the application config to specify if an error should be raised when
# an order is present in the relation.
#
# Limits are honored, and if present there is no requirement for the batch
# size: it can be less than, equal to, or greater than the limit.
#
# The options +start+ and +finish+ are especially useful if you want
# multiple workers dealing with the same processing queue. You can make
# worker 1 handle all the records between id 1 and 9999 and worker 2
# handle from 10000 and beyond by setting the +:start+ and +:finish+
# option on each worker.
#
# # Let's process from record 10_000 on.
# Person.find_in_batches(start: 10_000) do |group|
# group.each { |person| person.party_all_night! }
# end
#
# NOTE: It's not possible to set the order. That is automatically set to
# ascending on the primary key ("id ASC") to make the batch ordering
# work. This also means that this method only works when the primary key is
# orderable (e.g. an integer or string).
#
# NOTE: By its nature, batch processing is subject to race conditions if
# other processes are modifying the database.
def find_in_batches(start: nil, finish: nil, batch_size: 1000, error_on_ignore: nil)
relation = self
unless block_given?
return to_enum(:find_in_batches, start: start, finish: finish, batch_size: batch_size, error_on_ignore: error_on_ignore) do
total = apply_limits(relation, start, finish).size
(total - 1).div(batch_size) + 1
end
end
in_batches(of: batch_size, start: start, finish: finish, load: true, error_on_ignore: error_on_ignore) do |batch|
yield batch.to_a
end
end
# Yields ActiveRecord::Relation objects to work with a batch of records.
#
# Person.where("age > 21").in_batches do |relation|
# relation.delete_all
# sleep(10) # Throttle the delete queries
# end
#
# If you do not provide a block to #in_batches, it will return a
# BatchEnumerator which is enumerable.
#
# Person.in_batches.each_with_index do |relation, batch_index|
# puts "Processing relation ##{batch_index}"
# relation.delete_all
# end
#
# Examples of calling methods on the returned BatchEnumerator object:
#
# Person.in_batches.delete_all
# Person.in_batches.update_all(awesome: true)
# Person.in_batches.each_record(&:party_all_night!)
#
# ==== Options
# * <tt>:of</tt> - Specifies the size of the batch. Defaults to 1000.
# * <tt>:load</tt> - Specifies if the relation should be loaded. Defaults to false.
# * <tt>:start</tt> - Specifies the primary key value to start from, inclusive of the value.
# * <tt>:finish</tt> - Specifies the primary key value to end at, inclusive of the value.
# * <tt>:error_on_ignore</tt> - Overrides the application config to specify if an error should be raised when
# an order is present in the relation.
#
# Limits are honored, and if present there is no requirement for the batch
# size, it can be less than, equal, or greater than the limit.
#
# The options +start+ and +finish+ are especially useful if you want
# multiple workers dealing with the same processing queue. You can make
# worker 1 handle all the records between id 1 and 9999 and worker 2
# handle from 10000 and beyond by setting the +:start+ and +:finish+
# option on each worker.
#
# # Let's process from record 10_000 on.
# Person.in_batches(start: 10_000).update_all(awesome: true)
#
# An example of calling where query method on the relation:
#
# Person.in_batches.each do |relation|
# relation.update_all('age = age + 1')
# relation.where('age > 21').update_all(should_party: true)
# relation.where('age <= 21').delete_all
# end
#
# NOTE: If you are going to iterate through each record, you should call
# #each_record on the yielded BatchEnumerator:
#
# Person.in_batches.each_record(&:party_all_night!)
#
# NOTE: It's not possible to set the order. That is automatically set to
# ascending on the primary key ("id ASC") to make the batch ordering
# consistent. Therefore the primary key must be orderable, e.g. an integer
# or a string.
#
# NOTE: By its nature, batch processing is subject to race conditions if
# other processes are modifying the database.
def in_batches(of: 1000, start: nil, finish: nil, load: false, error_on_ignore: nil)
relation = self
unless block_given?
return BatchEnumerator.new(of: of, start: start, finish: finish, relation: self)
end
if arel.orders.present?
act_on_ignored_order(error_on_ignore)
end
batch_limit = of
if limit_value
remaining = limit_value
batch_limit = remaining if remaining < batch_limit
end
relation = relation.reorder(batch_order).limit(batch_limit)
relation = apply_limits(relation, start, finish)
relation.skip_query_cache! # Retaining the results in the query cache would undermine the point of batching
batch_relation = relation
loop do
if load
records = batch_relation.records
ids = records.map(&:id)
yielded_relation = where(primary_key => ids)
yielded_relation.load_records(records)
else
ids = batch_relation.pluck(primary_key)
yielded_relation = where(primary_key => ids)
end
break if ids.empty?
primary_key_offset = ids.last
raise ArgumentError.new("Primary key not included in the custom select clause") unless primary_key_offset
yield yielded_relation
break if ids.length < batch_limit
if limit_value
remaining -= ids.length
if remaining == 0
# Saves a useless iteration when the limit is a multiple of the
# batch size.
break
elsif remaining < batch_limit
relation = relation.limit(remaining)
end
end
batch_relation = relation.where(arel_attribute(primary_key).gt(primary_key_offset))
end
end
private
def apply_limits(relation, start, finish)
relation = relation.where(arel_attribute(primary_key).gteq(start)) if start
relation = relation.where(arel_attribute(primary_key).lteq(finish)) if finish
relation
end
def batch_order
"#{quoted_table_name}.#{quoted_primary_key} ASC"
end
def act_on_ignored_order(error_on_ignore)
raise_error = (error_on_ignore.nil? ? klass.error_on_ignored_order : error_on_ignore)
if raise_error
raise ArgumentError.new(ORDER_IGNORE_MESSAGE)
elsif logger
logger.warn(ORDER_IGNORE_MESSAGE)
end
end
end
end
