aboutsummaryrefslogtreecommitdiffstats
path: root/activerecord/lib/active_record/batches.rb
diff options
context:
space:
mode:
authorPratik Naik <pratiknaik@gmail.com>2009-03-16 11:28:36 +0000
committerPratik Naik <pratiknaik@gmail.com>2009-03-16 11:28:36 +0000
commit18eb80ccc7e932f9a6c00462ceaeea648631b120 (patch)
treed0bc7c4760197a4abdea3b3f008a1615436acf54 /activerecord/lib/active_record/batches.rb
parent4185a4a5f5e53b55c9ba3757a837d33fb91f4091 (diff)
downloadrails-18eb80ccc7e932f9a6c00462ceaeea648631b120.tar.gz
rails-18eb80ccc7e932f9a6c00462ceaeea648631b120.tar.bz2
rails-18eb80ccc7e932f9a6c00462ceaeea648631b120.zip
Merge docrails
Diffstat (limited to 'activerecord/lib/active_record/batches.rb')
-rw-r--r--activerecord/lib/active_record/batches.rb38
1 files changed, 23 insertions, 15 deletions
diff --git a/activerecord/lib/active_record/batches.rb b/activerecord/lib/active_record/batches.rb
index 03bd4f9f93..5a6cecd4ad 100644
--- a/activerecord/lib/active_record/batches.rb
+++ b/activerecord/lib/active_record/batches.rb
@@ -4,10 +4,12 @@ module ActiveRecord
base.extend(ClassMethods)
end
- # When processing large numbers of records, it's often a good idea to do so in batches to prevent memory ballooning.
+ # When processing large numbers of records, it's often a good idea to do
+ # so in batches to prevent memory ballooning.
module ClassMethods
- # Yields each record that was found by the find +options+. The find is performed by find_in_batches
- # with a batch size of 1000 (or as specified by the +batch_size+ option).
+ # Yields each record that was found by the find +options+. The find is
+ # performed by find_in_batches with a batch size of 1000 (or as
+ # specified by the <tt>:batch_size</tt> option).
#
# Example:
#
@@ -15,9 +17,10 @@ module ActiveRecord
# person.party_all_night!
# end
#
- # Note: This method is only intended to use for batch processing of large amounts of records that wouldn't fit in
- # memory all at once. If you just need to loop over less than 1000 records, it's probably better just to use the
- # regular find methods.
+ # Note: This method is only intended to use for batch processing of
+ # large amounts of records that wouldn't fit in memory all at once. If
+ # you just need to loop over less than 1000 records, it's probably
+ # better just to use the regular find methods.
def find_each(options = {})
find_in_batches(options) do |records|
records.each { |record| yield record }
@@ -26,17 +29,22 @@ module ActiveRecord
self
end
- # Yields each batch of records that was found by the find +options+ as an array. The size of each batch is
- # set by the +batch_size+ option; the default is 1000.
+ # Yields each batch of records that was found by the find +options+ as
+ # an array. The size of each batch is set by the <tt>:batch_size</tt>
+ # option; the default is 1000.
#
- # You can control the starting point for the batch processing by supplying the +start+ option. This is especially
- # useful if you want multiple workers dealing with the same processing queue. You can make worker 1 handle all the
- # records between id 0 and 10,000 and worker 2 handle from 10,000 and beyond (by setting the +start+ option on that
- # worker).
+ # You can control the starting point for the batch processing by
+ # supplying the <tt>:start</tt> option. This is especially useful if you
+ # want multiple workers dealing with the same processing queue. You can
+ # make worker 1 handle all the records between id 0 and 10,000 and
+ # worker 2 handle from 10,000 and beyond (by setting the <tt>:start</tt>
+ # option on that worker).
#
- # 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 mean that this method only works with integer-based primary keys.
- # You can't set the limit either, that's used to control the the batch sizes.
+ # 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 mean that this method only works with integer-based
+ # primary keys. You can't set the limit either, that's used to control
+ # the the batch sizes.
#
# Example:
#