Provided by: libdbix-class-optimisticlocking-perl_0.02-3_all
DBIx::Class::OptimisticLocking - Optimistic locking support for DBIx::Class
This module allows the user to utilize optimistic locking when updating a row. Example usage: package DB::Main::Orders; use base qw/DBIx::Class/; __PACKAGE__->load_components(qw/OptimisticLocking Core/); __PACKAGE__->optimistic_locking_strategy('dirty'); # this is the default behavior
Optimistic locking is an alternative to using exclusive locks when you have the possibility of concurrent, conflicting updates in your database. The basic principle is you allow any and all clients to issue updates and rather than preemptively synchronizing all data modifications (which is what happens with exclusive locks) you are "optimistic" that updates won't interfere with one another and the updates will only fail when they do in fact interfere with one another. Consider the following scenario (in timeline order, not in the same block of code): my $order = $schema->resultset('Orders')->find(1); # some other different, concurrent process loads the same object my $other_order = $schema->resultset('Orders')->find(1); $order->status('fraud review'); $other_order->status('processed'); $order->update; # this succeeds $other_order->update; # this fails when using optimistic locking Without locking (optimistic or exclusive ), the example order would have two sequential updates issued with the second essentially erasing the results of the first. With optimistic locking, the second update (on $other_order) would fail. This optimistic locking is typically done by adding additional restrictions to the "WHERE" clause of the "UPDATE" statement. These additional restrictions ensure the data is still in the expected state before applying the update. This DBIx::Class::OptimisticLocking component provides a few different strategies for providing this functionality.
optimistic_locking_strategy This configuration controls the main functionality of this component. The current recognized optimistic locking modes supported are: · dirty When issuing an update, the "WHERE" clause of the update will include all of the original values of the columns that are being updated. Any columns that are not being updated will be ignored. · version When issuing an update, the "WHERE" clause of the update will include a check of the "version" column (or otherwise configured column using optimistic_locking_version_column). The "version" column will also be incremented on each update as well. The exception is if all of the updated columns are in the optimistic_locking_ignore_columns configuration. · all When issuing an update, the "WHERE" clause of the update will include a check on each column in the object regardless of whether they were updated or not. · none (or any other value) This turns off the functionality of this component. But why would you load it if you don't need it? :-) optimistic_locking_ignore_columns Occassionally you may elect to ignore certain columns that are not significant enough to detect colisions and cause the update to fail. For instance, if you have a timestamp column, you may want to add that to this list so that it is ignored when generating the "UPDATE" where clause for the update. optimistic_locking_version_column If you are using 'version' as your optimistic_locking_strategy, you can optionally specify a different name for the column used for version tracking. If an alternate name is not passed, the component will look for a column named "version" in your model.
update See DBIx::Class::Row::update for basic usage. Before issuing the actual update, this component injects additional criteria that will be used in the "WHERE" clause in the "UPDATE". The criteria that is used depends on the CONFIGURATION defined in the model class. _track_storage_value This is a method internal to DBIx::Class::Row that basically serves as a predicate method that indicates whether or not the orginal value of the row (as loaded from storage) should be recorded when it is updated. Typically, only primary key values are persisted but for DBIx::Class::OptimisticLocking, this list is augmented to include other columns based on the optimistic locking strategy that is configured for this DBIx::Class::ResultSource. For instance, if the chosen strategy is '"dirty"' (the default), every column's original value will be tracked in order to generate the appropriate "WHERE" clause in any subsequent "UPDATE" operations. _storage_ident_condition This is an internal method to DBIx::Class::PK that generates the "WHERE" clause for update and delete operations.
Please report any bugs or feature requests to "bug-dbix-class-optimisticlocking at rt.cpan.org", or through the web interface at <http://rt.cpan.org/NoAuth/ReportBug.html?Queue=DBIx-Class-OptimisticLocking>. I will be notified, and then you'll automatically be notified of progress on your bug as I make changes.
You can find documentation for this module with the perldoc command. perldoc DBIx::Class::OptimisticLocking
Credit goes to the Java ORM package Hibernate <http://hibernate.org> for inspiring me to write this for DBIx::Class.
Brian Phillips <email@example.com>
COPYRIGHT AND LICENSE
This software is copyright (c) 2011 by Brian Phillips. This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.