# $Id: ObjectDriver.pm 1108 2006-02-20 21:25:45Z btrott $ package Data::ObjectDriver; use strict; use base qw( Class::Accessor::Fast ); __PACKAGE__->mk_accessors(qw( pk_generator )); our $VERSION = '0.02'; our $DEBUG = 0; use Data::Dumper (); sub new { my $class = shift; my $driver = bless {}, $class; $driver->init(@_); $driver; } sub init { my $driver = shift; my %param = @_; $driver->pk_generator($param{pk_generator}); $driver; } sub debug { my $driver = shift; return unless $DEBUG; if (@_ == 1 && !ref($_[0])) { print STDERR @_; } else { local $Data::Dumper::Indent = 1; print STDERR Data::Dumper::Dumper(@_); } } 1; __END__ =head1 NAME Data::ObjectDriver - Simple, transparent data interface, with caching =head1 SYNOPSIS ## Set up your database driver code. package FoodDriver; sub driver { Data::ObjectDriver::Driver::DBI->new( dsn => 'dbi:mysql:dbname', username => 'username', password => 'password', ) } ## Set up the classes for your recipe and ingredient objects. package Recipe; use base qw( Data::ObjectDriver::BaseObject ); __PACKAGE__->install_properties({ columns => [ 'recipe_id', 'title' ], datasource => 'recipe', primary_key => 'recipe_id', driver => FoodDriver->driver, }); package Ingredient; use base qw( Data::ObjectDriver::BaseObject ); __PACKAGE__->install_properties({ columns => [ 'ingredient_id', 'recipe_id', 'name', 'quantity' ], datasource => 'ingredient', primary_key => [ 'recipe_id', 'ingredient_id' ], driver => FoodDriver->driver, }); ## And now, use them! my $recipe = Recipe->new; $recipe->title('Banana Milkshake'); $recipe->save; my $ingredient = Ingredient->new; $ingredient->recipe_id($recipe->id); $ingredient->name('Bananas'); $ingredient->quantity(5); $ingredient->save; ## Needs more bananas! $ingredient->quantity(10); $ingredient->save; =head1 DESCRIPTION I is an object relational mapper, meaning that it maps object-oriented design concepts onto a relational database. It's inspired by, and descended from, the I classes in Six Apart's Movable Type and TypePad weblogging products. But it adds in caching and partitioning layers, allowing you to spread data across multiple physical databases, without your application code needing to know where the data is stored. It's currently considered ALPHA code. The API is largely fixed, but may seen some small changes in the future. For what it's worth, the likeliest area for changes are in the syntax for the I method, and would most likely not break much in the way of backwards compatibility. =head1 METHODOLOGY I provides you with a framework for building database-backed applications. It provides built-in support for object caching and database partitioning, and uses a layered approach to allow building very sophisticated database interfaces without a lot of code. You can build a driver that uses any number of caching layers, plus a partitioning layer, then a final layer that actually knows how to load data from a backend datastore. For example, the following code: my $driver = Data::ObjectDriver::Driver::Cache::Memcached->new( cache => Cache::Memcached->new( servers => [ '127.0.0.1:11211' ], ), fallback => Data::ObjectDriver::Driver::Partition->new( get_driver => \&get_driver, ), ); creates a new driver that supports both caching (using memcached) and partitioning. It's useful to demonstrate the flow of a sample request through this driver framework. The following code: my $ingredient = Ingredient->lookup([ $recipe->recipe_id, 1 ]); would take the following path through the I framework: =over 4 =item 1. The caching layer would look up the object with the given primary key in all of the specified memcached servers. If the object was found in the cache, it would be returned immediately. If the object was not found in the cache, the caching layer would fall back to the driver listed in the I setting: the partitioning layer. =item 2. The partitioning layer does not know how to look up objects by itself--all it knows how to do is to give back a driver that I know how to loko up objects in a backend datastore. In our example above, imagine that we're partitioning our ingredient data based on the recipe that the ingredient is found in. For example, all of the ingredients for a "Banana Milkshake" would be found in one partition; all of the ingredients for a "Chocolate Sundae" might be found in another partition. So the partitioning layer needs to tell us which partition to look in to load the ingredients for I<$recipe-Erecipe_id>. If we store a I column along with each I<$recipe> object, that information can be loaded very easily, and the partitioning layer will then instantiate a I driver that knows how to load an ingredient from that recipe. =item 3. Using the I driver that the partitioning layer created, I can look up the ingredient with the specified primary key. It will return that key back up the chain, giving each layer a chance to do something with it. =item 4. The caching layer, when it receives the object loaded in Step 3, will store the object in memcached. =item 5. The object will be passed back to the caller. Subsequent lookups of that same object will come from the cache. =back =head1 HOW IS IT DIFFERENT? I differs from other similar frameworks (e.g. L) in a couple of ways: =over 4 =item * It has built-in support for caching. =item * It has built-in support for data partitioning. =item * Drivers are attached to classes, not to the application as a whole. This is essential for partitioning, because your partition drivers need to know how to load a specific class of data. But it can also be useful for caching, because you may find that it doesn't make sense to cache certain classes of data that change constantly. =item * The driver class != the base object class. All of the object classes you declare will descend from I, and all of the drivers you instantiate or subclass will descend from I itself. This provides a useful distinction between your data/classes, and the drivers that describe how to B on that data, meaning that an object based on I is not tied to any particular type of driver. =back =head1 USAGE =head2 Class->lookup($id) Looks up/retrieves a single object with the primary key I<$id>, and returns the object. I<$id> can be either a scalar or a reference to an array, in the case of a class with a multiple column primary key. =head2 Class->lookup_multi(\@ids) Looks up/retrieves multiple objects with the IDs I<\@ids>, which should be a reference to an array of IDs. As in the case of I, an ID can be either a scalar or a reference to an array. Returns a reference to an array of objects in the same order as the IDs you passed in. Any objects that could not successfully be loaded will be represented in that array as an C element. So, for example, if you wanted to load 2 objects with the primary keys C<[ 5, 3 ]> and C<[ 4, 2 ]>, you'd call I like this: Class->lookup_multi([ [ 5, 3 ], [ 4, 2 ], ]); And if the first object in that list could not be loaded successfully, you'd get back a reference to an array like this: [ undef, $object ] where I<$object> is an instance of I. =head2 Class->search(\%terms [, \%options ]) Searches for objects matching the terms I<%terms>. In list context, returns an array of matching objects; in scalar context, returns a reference to a subroutine that acts as an iterator object, like so: my $iter = Ingredient->search({ recipe_id => 5 }); while (my $ingredient = $iter->()) { ... } The keys in I<%terms> should be column names for the database table modeled by I (and the values should be the desired values for those columns). I<%options> can contain: =over 4 =item * sort The name of a column to use to sort the result set. Optional. =item * direction The direction in which you want to sort the result set. Must be either C or C. Optional. =item * limit The value for a I clause, to limit the size of the result set. Optional. =item * offset The offset to start at when limiting the result set. Optional. =item * fetchonly A reference to an array of column names to fetch in the I