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(
          bind_attribute(primary_key, primary_key_offset) { |attr, bind| attr.gt(bind) }
        )
      end
    end
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(
          bind_attribute(primary_key, primary_key_offset) { |attr, bind| attr.gt(bind) }
        )
      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.