Provided by: libdata-objectdriver-perl_0.14-1_all 
NAME
Data::ObjectDriver - Simple, transparent data interface, with caching
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;
## Shorthand constructor
my $ingredient = Ingredient->new(recipe_id=> $recipe->id,
name => 'Milk',
quantity => 2);
DESCRIPTION
Data::ObjectDriver 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 MT::ObjectDriver 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.
METHODOLOGY
Data::ObjectDriver 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 Data::ObjectDriver framework:
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 fallback setting: the partitioning layer.
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 does know how to look 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 $recipe->recipe_id. If we store a partition_id column along with each
$recipe object, that information can be loaded very easily, and the partitioning layer
will then instantiate a DBI driver that knows how to load an ingredient from that
recipe.
3. Using the DBI driver that the partitioning layer created, Data::ObjectDriver can look
up the ingredient with the specified primary key. It will return that key back up the
chain, giving each layer a chance to do something with it.
4. The caching layer, when it receives the object loaded in Step 3, will store the object
in memcached.
5. The object will be passed back to the caller. Subsequent lookups of that same object
will come from the cache.
HOW IS IT DIFFERENT?
Data::ObjectDriver differs from other similar frameworks (e.g. Class::DBI) in a couple of
ways:
• It has built-in support for caching.
• It has built-in support for data partitioning.
• Drivers are attached to classes, not to the application as a whole.
This is essential for partitioning, because your partition drivers need to know how to
load a specific class of data.
But it can also be useful for caching, because you may find that it doesn't make sense
to cache certain classes of data that change constantly.
• The driver class != the base object class.
All of the object classes you declare will descend from
Data::ObjectDriver::BaseObject, and all of the drivers you instantiate or subclass
will descend from Data::ObjectDriver itself.
This provides a useful distinction between your data/classes, and the drivers that
describe how to act on that data, meaning that an object based on
Data::ObjectDriver::BaseObject is not tied to any particular type of driver.
USAGE
Class->lookup($id)
Looks up/retrieves a single object with the primary key $id, and returns the object.
$id can be either a scalar or a reference to an array, in the case of a class with a
multiple column primary key.
Class->lookup_multi(\@ids)
Looks up/retrieves multiple objects with the IDs \@ids, which should be a reference to an
array of IDs. As in the case of lookup, 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
"undef" element.
So, for example, if you wanted to load 2 objects with the primary keys "[ 5, 3 ]" and "[
4, 2 ]", you'd call lookup_multi 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 $object is an instance of Class.
Class->search(\%terms [, \%options ])
Searches for objects matching the terms %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->()) {
...
}
$iter is blessed in Data::ObjectDriver::Iterator package, so the above could also be
written:
my $iter = Ingredient->search({ recipe_id => 5 });
while (my $ingredient = $iter->next()) {
...
}
The keys in %terms should be column names for the database table modeled by Class (and the
values should be the desired values for those columns).
%options can contain:
• sort
The name of a column to use to sort the result set.
Optional.
• direction
The direction in which you want to sort the result set. Must be either "ascend" or
"descend".
Optional.
• limit
The value for a LIMIT clause, to limit the size of the result set.
Optional.
• offset
The offset to start at when limiting the result set.
Optional.
• fetchonly
A reference to an array of column names to fetch in the SELECT statement.
Optional; the default is to fetch the values of all of the columns.
• for_update
If set to a true value, the SELECT statement generated will include a FOR UPDATE
clause.
• comment
A sql comment to watermark the SQL query.
• window_size
Used when requesting an iterator for the search method and selecting a large result
set or a result set of unknown size. In such a case, no LIMIT clause is assigned,
which can load all available objects into memory. Specifying "window_size" will load
objects in manageable chunks. This will also cause any caching driver to be bypassed
for issuing the search itself. Objects are still placed into the cache upon load.
This attribute is ignored when the search method is invoked in an array context, or if
a "limit" attribute is also specified that is smaller than the "window_size".
Class->search(\@terms [, \%options ])
This is an alternative calling signature for the search method documented above. When
providing an array of terms, it allows for constructing complex expressions that mix 'and'
and 'or' clauses. For example:
my $iter = Ingredient->search([ { recipe_id => 5 },
-or => { calories => { value => 300, op => '<' } } ]);
while (my $ingredient = $iter->()) {
...
}
Supported logic operators are: '-and', '-or', '-and_not', '-or_not'.
Class->add_trigger($trigger, \&callback)
Adds a trigger to all objects of class Class, such that when the event $trigger occurs to
any of the objects, subroutine &callback is run. Note that triggers will not occur for
instances of subclasses of Class, only of Class itself. See TRIGGERS for the available
triggers.
Class->call_trigger($trigger, [@callback_params])
Invokes the triggers watching class Class. The parameters to send to the callbacks (in
addition to Class) are specified in @callback_params. See TRIGGERS for the available
triggers.
$obj->save
Saves the object $obj to the database.
If the object is not yet in the database, save will automatically generate a primary key
and insert the record into the database table. Otherwise, it will update the existing
record.
If an error occurs, save will croak.
Internally, save calls update for records that already exist in the database, and insert
for those that don't.
$obj->remove
Removes the object $obj from the database.
If an error occurs, remove will croak.
Class->remove(\%terms, \%args)
Removes objects found with the %terms. So it's a shortcut of:
my @obj = Class->search(\%terms, \%args);
for my $obj (@obj) {
$obj->remove;
}
However, when you pass "nofetch" option set to %args, it won't create objects with
"search", but issues DELETE SQL directly to the database.
## issues "DELETE FROM tbl WHERE user_id = 2"
Class->remove({ user_id => 2 }, { nofetch => 1 });
This might be much faster and useful for tables without Primary Key, but beware that in
this case Triggers won't be fired because no objects are instantiated.
Class->bulk_insert([col1, col2], [[d1,d2], [d1,d2]]);
Bulk inserts data into the underlying table. The first argument is an array reference of
columns names as specified in install_properties
$obj->add_trigger($trigger, \&callback)
Adds a trigger to the object $obj, such that when the event $trigger occurs to the object,
subroutine &callback is run. See TRIGGERS for the available triggers. Triggers are invoked
in the order in which they are added.
$obj->call_trigger($trigger, [@callback_params])
Invokes the triggers watching all objects of $obj's class and the object $obj specifically
for trigger event $trigger. The additional parameters besides $obj, if any, are passed as
@callback_params. See TRIGGERS for the available triggers.
TRIGGERS
Data::ObjectDriver provides a trigger mechanism by which callbacks can be called at
certain points in the life cycle of an object. These can be set on a class as a whole or
individual objects (see USAGE).
Triggers can be added and called for these events:
• pre_save -> ($obj, $orig_obj)
Callbacks on the pre_save trigger are called when the object is about to be saved to
the database. For example, use this callback to translate special code strings into
numbers for storage in an integer column in the database. Note that this hook is also
called when you "remove" the object.
Modifications to $obj will affect the values passed to subsequent triggers and saved
in the database, but not the original object on which the save method was invoked.
• post_save -> ($obj, $orig_obj)
Callbaks on the post_save triggers are called after the object is saved to the
database. Use this trigger when your hook needs primary key which is automatically
assigned (like auto_increment and sequence). Note that this hooks is NOT called when
you remove the object.
• pre_insert / post_insert / pre_update / post_update / pre_remove / post_remove ->
($obj, $orig_obj)
Those triggers are fired before and after $obj is created, updated and deleted.
• post_load -> ($obj)
Callbacks on the post_load trigger are called when an object is being created from a
database query, such as with the lookup and search class methods. For example, use
this callback to translate the numbers your pre_save callback caused to be saved back
into string codes.
Modifications to $obj will affect the object passed to subsequent triggers and
returned from the loading method.
Note pre_load should only be used as a trigger on a class, as the object to which the
load is occurring was not previously available for triggers to be added.
• pre_search -> ($class, $terms, $args)
Callbacks on the pre_search trigger are called when a content addressed query for
objects of class $class is performed with the search method. For example, use this
callback to translate the entry in $terms for your code string field to its
appropriate integer value.
Modifications to $terms and $args will affect the parameters to subsequent triggers
and what objects are loaded, but not the original hash references used in the search
query.
Note pre_search should only be used as a trigger on a class, as search is never
invoked on specific objects.
The return values from your callbacks are ignored.
Note that the invocation of callbacks is the responsibility of the object driver.
If you implement a driver that does not delegate to
Data::ObjectDriver::Driver::DBI, it is your responsibility to invoke the
appropriate callbacks with the call_trigger method.
PROFILING
For performance tuning, you can turn on query profiling by setting
$Data::ObjectDriver::PROFILE to a true value. Or, alternatively, you can set the
DOD_PROFILE environment variable to a true value before starting your application.
To obtain the profile statistics, get the global Data::ObjectDriver::Profiler instance:
my $profiler = Data::ObjectDriver->profiler;
Then see the documentation for Data::ObjectDriver::Profiler to see the methods on that
class.
In some applications there are phases of execution in which no I/O operations should
occur, but sometimes it's difficult to tell when, where, or if those I/O operations are
happening. One approach to surfacing these situations is to set, either globally or
locally, the $Data::ObjectDriver::RESTRICT_IO flag. If set, this will tell
Data::ObjectDriver to die with some context rather than executing network calls for data.
TRANSACTIONS
Transactions are supported by Data::ObjectDriver's default drivers. So each Driver is
capable to deal with transactional state independently. Additionally
<Data::ObjectDriver::BaseObject> class know how to turn transactions switch on for all
objects.
In the case of a global transaction all drivers used during this time are put in a
transactional state until the end of the transaction.
Example
## start a transaction
Data::ObjectDriver::BaseObject->begin_work;
$recipe = Recipe->new;
$recipe->title('lasagnes');
$recipe->save;
my $ingredient = Ingredient->new;
$ingredient->recipe_id($recipe->recipe_id);
$ingredient->name("more layers");
$ingredient->insert;
$ingredient->remove;
if ($you_are_sure) {
Data::ObjectDriver::BaseObject->commit;
}
else {
## erase all trace of the above
Data::ObjectDriver::BaseObject->rollback;
}
Driver implementation
Drivers have to implement the following methods:
• begin_work to initialize a transaction
• rollback
• commit
Nested transactions
Are not supported and will result in warnings and the inner transactions to be ignored. Be
sure to end each transaction and not to let et long running transaction open (i.e you
should execute a rollback or commit for each open begin_work).
Transactions and DBI
In order to make transactions work properly you have to make sure that the $dbh for each
DBI drivers are shared among drivers using the same database (basically dsn).
One way of doing that is to define a get_dbh() subref in each DBI driver to return the
same dbh if the dsn and attributes of the connection are identical.
The other way is to use the new configuration flag on the DBI driver that has been added
specifically for this purpose: "reuse_dbh".
## example coming from the test suite
__PACKAGE__->install_properties({
columns => [ 'recipe_id', 'partition_id', 'title' ],
datasource => 'recipes',
primary_key => 'recipe_id',
driver => Data::ObjectDriver::Driver::Cache::Cache->new(
cache => Cache::Memory->new,
fallback => Data::ObjectDriver::Driver::DBI->new(
dsn => 'dbi:SQLite:dbname=global.db',
reuse_dbh => 1, ## be sure that the corresponding dbh is shared
),
),
});
EXAMPLES
A Partitioned, Caching Driver
package Ingredient;
use strict;
use base qw( Data::ObjectDriver::BaseObject );
use Data::ObjectDriver::Driver::DBI;
use Data::ObjectDriver::Driver::Partition;
use Data::ObjectDriver::Driver::Cache::Cache;
use Cache::Memory;
use Carp;
our $IDs;
__PACKAGE__->install_properties({
columns => [ 'ingredient_id', 'recipe_id', 'name', 'quantity', ],
datasource => 'ingredients',
primary_key => [ 'recipe_id', 'ingredient_id' ],
driver =>
Data::ObjectDriver::Driver::Cache::Cache->new(
cache => Cache::Memory->new( namespace => __PACKAGE__ ),
fallback =>
Data::ObjectDriver::Driver::Partition->new(
get_driver => \&get_driver,
pk_generator => \&generate_pk,
),
),
});
sub get_driver {
my($terms) = @_;
my $recipe;
if (ref $terms eq 'HASH') {
my $recipe_id = $terms->{recipe_id}
or Carp::croak("recipe_id is required");
$recipe = Recipe->lookup($recipe_id);
} elsif (ref $terms eq 'ARRAY') {
$recipe = Recipe->lookup($terms->[0]);
}
Carp::croak("Unknown recipe") unless $recipe;
Data::ObjectDriver::Driver::DBI->new(
dsn => 'dbi:mysql:database=cluster' . $recipe->cluster_id,
username => 'foo',
pk_generator => \&generate_pk,
);
}
sub generate_pk {
my($obj) = @_;
$obj->ingredient_id(++$IDs{$obj->recipe_id});
1;
}
1;
SUPPORTED DATABASES
Data::ObjectDriver is very modular and it's not very difficult to add new drivers.
• MySQL is well supported and has been heavily tested.
• PostgreSQL has been used in production and should just work, too.
• SQLite is supported, but YMMV depending on the version. This is the backend used for
the test suite.
• Oracle support has been added in 0.06
LICENSE
Data::ObjectDriver is free software; you may redistribute it and/or modify it under the
same terms as Perl itself.
AUTHOR & COPYRIGHT
Except where otherwise noted, Data::ObjectDriver is Copyright 2005-2006 Six Apart,
cpan@sixapart.com. All rights reserved.