X-Git-Url: http://git.shadowcat.co.uk/gitweb/gitweb.cgi?a=blobdiff_plain;f=lib%2FDBIx%2FClass%2FManual%2FCookbook.pod;h=574a8e1eab1b4bd021b8a8aa94cb149b5dd96081;hb=82f6f45f40c17f9cf2c2385776f4165d4bb63b98;hp=00c28e9dba131a191fba91b6ce6eb67c82e62ce9;hpb=0a62f675479175606ba25cc28e0c28fb17425b0d;p=dbsrgits%2FDBIx-Class.git diff --git a/lib/DBIx/Class/Manual/Cookbook.pod b/lib/DBIx/Class/Manual/Cookbook.pod index 00c28e9..574a8e1 100644 --- a/lib/DBIx/Class/Manual/Cookbook.pod +++ b/lib/DBIx/Class/Manual/Cookbook.pod @@ -19,19 +19,8 @@ paged resultset, which will fetch only a defined number of records at a time: return $rs->all(); # all records for page 1 -The C attribute does not have to be specified in your search: - - my $rs = $schema->resultset('Artist')->search( - undef, - { - rows => 10, - } - ); - - return $rs->page(1); # DBIx::Class::ResultSet containing first 10 records - -In either of the above cases, you can get a L object for the -resultset (suitable for use in e.g. a template) using the C method: +You can get a L object for the resultset (suitable for use +in e.g. a template) using the C method: return $rs->pager(); @@ -116,7 +105,7 @@ reference (this is a feature of L). Say you want to run a complex custom query on your user data, here's what you have to add to your User class: - package My::Schema::User; + package My::Schema::Result::User; use base qw/DBIx::Class/; @@ -160,10 +149,10 @@ files (instead of stuffing all of them into the same resultset class), you can achieve the same with subclassing the resultset class and defining the ResultSource there: - package My::Schema::UserFriendsComplex; + package My::Schema::Result::UserFriendsComplex; - use My::Schema::User; - use base qw/My::Schema::User/; + use My::Schema::Result::User; + use base qw/My::Schema::Result::User/; __PACKAGE__->table('dummy'); # currently must be called before anything else @@ -248,29 +237,49 @@ any of your aliases using either of these: =head2 SELECT DISTINCT with multiple columns - my $rs = $schema->resultset('Foo')->search( + my $rs = $schema->resultset('Artist')->search( {}, { - select => [ - { distinct => [ $source->columns ] } - ], - as => [ $source->columns ] # remember 'as' is not the same as SQL AS :-) + columns => [ qw/artistid name rank/ ], + distinct => 1 + } + ); + + my $rs = $schema->resultset('Artist')->search( + {}, + { + columns => [ qw/artistid name rank/ ], + group_by => [ qw/artistid name rank/ ], } ); + # Equivalent SQL: + # SELECT me.artistid, me.name, me.rank + # FROM artist me + # GROUP BY artistid, name, rank + =head2 SELECT COUNT(DISTINCT colname) - my $rs = $schema->resultset('Foo')->search( + my $rs = $schema->resultset('Artist')->search( {}, { - select => [ - { count => { distinct => 'colname' } } - ], - as => [ 'count' ] + columns => [ qw/name/ ], + distinct => 1 + } + ); + + my $rs = $schema->resultset('Artist')->search( + {}, + { + columns => [ qw/name/ ], + group_by => [ qw/name/ ], } ); - my $count = $rs->next->get_column('count'); + my $count = $rs->count; + + # Equivalent SQL: + # SELECT COUNT( DISTINCT( me.name ) ) FROM artist me =head2 Grouping results @@ -295,7 +304,7 @@ Please see L documentation if you are in any way unsure about the use of the attributes above (C< join >, C< select >, C< as > and C< group_by >). -=head2 Subqueries +=head2 Subqueries (EXPERIMENTAL) You can write subqueries relatively easily in DBIC. @@ -343,6 +352,10 @@ That creates the following SQL: WHERE artistid = me.artistid ) +=head3 EXPERIMENTAL + +Please note that subqueries are considered an experimental feature. + =head2 Predefined searches You can write your own L class by inheriting from it @@ -504,9 +517,6 @@ L has now prefetched all matching data from the C table, so no additional SQL statements are executed. You now have a much more efficient query. -Note that as of L 0.05999_01, C I be used with -C relationships. - Also note that C should only be used when you know you will definitely use data from a related table. Pre-fetching related tables when you only need columns from the main table will make performance worse! @@ -624,7 +634,7 @@ CD and Concert, and join CD to LinerNotes: =head2 Multi-step prefetch -From 0.04999_05 onwards, C can be nested more than one relationship +C can be nested more than one relationship deep using the same syntax as a multi-step join: my $rs = $schema->resultset('Tag')->search( @@ -664,8 +674,7 @@ method. AKA getting last_insert_id -If you are using PK::Auto (which is a core component as of 0.07), this is -straightforward: +Thanks to the core component PK::Auto, this is straightforward: my $foo = $rs->create(\%blah); # do more stuff @@ -680,7 +689,7 @@ Employ the standard stringification technique by using the C module. To make an object stringify itself as a single column, use something -like this (replace C with the column/method of your choice): +like this (replace C with the column/method of your choice): use overload '""' => sub { shift->name}, fallback => 1; @@ -724,6 +733,48 @@ Just use C instead, then check C: # do whatever else you wanted if it was a new row } +=head2 Static sub-classing DBIx::Class result classes + +AKA adding additional relationships/methods/etc. to a model for a +specific usage of the (shared) model. + +B + + package My::App::Schema; + + use base DBIx::Class::Schema; + + # load subclassed classes from My::App::Schema::Result/ResultSet + __PACKAGE__->load_namespaces; + + # load classes from shared model + load_classes({ + 'My::Shared::Model::Result' => [qw/ + Foo + Bar + /]}); + + 1; + +B + + package My::App::Schema::Result::Baz; + + use strict; + use warnings; + use base My::Shared::Model::Result::Baz; + + # WARNING: Make sure you call table() again in your subclass, + # otherwise DBIx::Class::ResultSourceProxy::Table will not be called + # and the class name is not correctly registered as a source + __PACKAGE__->table('baz'); + + sub additional_method { + return "I'm an additional method only needed by this app"; + } + + 1; + =head2 Dynamic Sub-classing DBIx::Class proxy classes AKA multi-class object inflation from one table @@ -747,16 +798,18 @@ below: B - package DB::Schema; + package My::Schema; use base qw/DBIx::Class::Schema/; - __PACKAGE__->load_classes(qw/User/); + __PACKAGE__->load_namespaces; + + 1; B - package DB::Schema::User; + package My::Schema::Result::User; use strict; use warnings; @@ -789,13 +842,15 @@ B print "I am a regular user.\n"; return ; } + + 1; + - - package DB::Schema::User::Admin; + package My::Schema::Result::User::Admin; use strict; use warnings; - use base qw/DB::Schema::User/; + use base qw/My::Schema::Result::User/; sub hello { @@ -807,13 +862,15 @@ B { print "I am doing admin stuff\n"; return ; - } + } + + 1; B test.pl use warnings; use strict; - use DB::Schema; + use My::Schema; my $user_data = { email => 'someguy@place.com', password => 'pass1', @@ -823,7 +880,7 @@ B test.pl password => 'pass2', admin => 1 }; - my $schema = DB::Schema->connection('dbi:Pg:dbname=test'); + my $schema = My::Schema->connection('dbi:Pg:dbname=test'); $schema->resultset('User')->create( $user_data ); $schema->resultset('User')->create( $admin_data ); @@ -861,11 +918,16 @@ To do this simply use L. Wasn't that easy? +Beware, changing the Result class using +L will replace any existing class +completely including any special components loaded using +load_components, eg L. + =head2 Get raw data for blindingly fast results If the L solution above is not fast enough for you, you can use a DBIx::Class to return values -exactly as they come out of the data base with none of the convenience methods +exactly as they come out of the database with none of the convenience methods wrapped round them. This is used like so: @@ -876,13 +938,13 @@ This is used like so: } You will need to map the array offsets to particular columns (you can -use the I