DBIx::Class::Manual::Cookbook - Miscellaneous recipes
-=head1 RECIPES
+=head1 SEARCHING
-=head2 Searching
-
-=head3 Paged results
+=head2 Paged results
When you expect a large number of results, you can ask L<DBIx::Class> for a
-paged resultset, which will fetch only a small number of records at a time:
+paged resultset, which will fetch only a defined number of records at a time:
my $rs = $schema->resultset('Artist')->search(
- {},
+ undef,
{
page => 1, # page to return (defaults to 1)
rows => 10, # number of results per page
The C<page> 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 return a L<Data::Page> object for the
+In either of the above cases, you can get a L<Data::Page> object for the
resultset (suitable for use in e.g. a template) using the C<pager> method:
return $rs->pager();
-=head3 Complex WHERE clauses
+=head2 Complex WHERE clauses
Sometimes you need to formulate a query using specific operators:
For more information on generating complex queries, see
L<SQL::Abstract/WHERE CLAUSES>.
-=head3 Using specific columns
+=head2 Retrieve one and only one row from a resultset
+
+Sometimes you need only the first "top" row of a resultset. While this can be
+easily done with L<< $rs->first|DBIx::Class::ResultSet/first >>, it is suboptimal,
+as a full blown cursor for the resultset will be created and then immediately
+destroyed after fetching the first row object.
+L<< $rs->single|DBIx::Class::ResultSet/single >> is
+designed specifically for this case - it will grab the first returned result
+without even instantiating a cursor.
+
+Before replacing all your calls to C<first()> with C<single()> please observe the
+following CAVEATS:
+
+=over
+
+=item *
+While single() takes a search condition just like search() does, it does
+_not_ accept search attributes. However one can always chain a single() to
+a search():
+
+ my $top_cd = $cd_rs -> search({}, { order_by => 'rating' }) -> single;
+
+
+=item *
+Since single() is the engine behind find(), it is designed to fetch a
+single row per database query. Thus a warning will be issued when the
+underlying SELECT returns more than one row. Sometimes however this usage
+is valid: i.e. we have an arbitrary number of cd's but only one of them is
+at the top of the charts at any given time. If you know what you are doing,
+you can silence the warning by explicitly limiting the resultset size:
+
+ my $top_cd = $cd_rs -> search ({}, { order_by => 'rating', rows => 1 }) -> single;
+
+=back
+
+=head2 Arbitrary SQL through a custom ResultSource
+
+Sometimes you have to run arbitrary SQL because your query is too complex
+(e.g. it contains Unions, Sub-Selects, Stored Procedures, etc.) or has to
+be optimized for your database in a special way, but you still want to
+get the results as a L<DBIx::Class::ResultSet>.
+The recommended way to accomplish this is by defining a separate ResultSource
+for your query. You can then inject complete SQL statements using a scalar
+reference (this is a feature of L<SQL::Abstract>).
+
+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;
+
+ use base qw/DBIx::Class/;
+
+ # ->load_components, ->table, ->add_columns, etc.
+
+ # Make a new ResultSource based on the User class
+ my $source = __PACKAGE__->result_source_instance();
+ my $new_source = $source->new( $source );
+ $new_source->source_name( 'UserFriendsComplex' );
+
+ # Hand in your query as a scalar reference
+ # It will be added as a sub-select after FROM,
+ # so pay attention to the surrounding brackets!
+ $new_source->name( \<<SQL );
+ ( SELECT u.* FROM user u
+ INNER JOIN user_friends f ON u.id = f.user_id
+ WHERE f.friend_user_id = ?
+ UNION
+ SELECT u.* FROM user u
+ INNER JOIN user_friends f ON u.id = f.friend_user_id
+ WHERE f.user_id = ? )
+ SQL
+
+ # Finally, register your new ResultSource with your Schema
+ My::Schema->register_extra_source( 'UserFriendsComplex' => $new_source );
+
+Next, you can execute your complex query using bind parameters like this:
+
+ my $friends = [ $schema->resultset( 'UserFriendsComplex' )->search( {},
+ {
+ bind => [ 12345, 12345 ]
+ }
+ ) ];
+
+... and you'll get back a perfect L<DBIx::Class::ResultSet> (except, of course,
+that you cannot modify the rows it contains, ie. cannot call L</update>,
+L</delete>, ... on it).
+
+If you prefer to have the definitions of these custom ResultSources in separate
+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;
+
+ use My::Schema::User;
+ use base qw/My::Schema::User/;
+
+ __PACKAGE__->table('dummy'); # currently must be called before anything else
-When you only want selected columns from a table, you can use C<cols> to
-specify which ones you need:
+ # Hand in your query as a scalar reference
+ # It will be added as a sub-select after FROM,
+ # so pay attention to the surrounding brackets!
+ __PACKAGE__->name( \<<SQL );
+ ( SELECT u.* FROM user u
+ INNER JOIN user_friends f ON u.id = f.user_id
+ WHERE f.friend_user_id = ?
+ UNION
+ SELECT u.* FROM user u
+ INNER JOIN user_friends f ON u.id = f.friend_user_id
+ WHERE f.user_id = ? )
+ SQL
+
+TIMTOWDI.
+
+=head2 Using specific columns
+
+When you only want specific columns from a table, you can use
+C<columns> to specify which ones you need. This is useful to avoid
+loading columns with large amounts of data that you aren't about to
+use anyway:
my $rs = $schema->resultset('Artist')->search(
- {},
+ undef,
{
- cols => [qw/ name /]
+ columns => [qw/ name /]
}
);
# Equivalent SQL:
# SELECT artist.name FROM artist
-=head3 Using database functions or stored procedures
+This is a shortcut for C<select> and C<as>, see below. C<columns>
+cannot be used together with C<select> and C<as>.
+
+=head2 Using database functions or stored procedures
The combination of C<select> and C<as> can be used to return the result of a
database function or stored procedure as a column value. You use C<select> to
);
# Equivalent SQL:
- # SELECT name name, LENGTH( name ) name_length
+ # SELECT name name, LENGTH( name )
# FROM artist
-If your alias exists as a column in your base class (i.e. it was added with
-C<add_columns>), you just access it as normal. Our C<Artist> class has a C<name>
-column, so we just use the C<name> accessor:
+Note that the C< as > attribute has absolutely nothing to with the sql
+syntax C< SELECT foo AS bar > (see the documentation in
+L<DBIx::Class::ResultSet/ATTRIBUTES>). If your alias exists as a
+column in your base class (i.e. it was added with C<add_columns>), you
+just access it as normal. Our C<Artist> class has a C<name> column, so
+we just use the C<name> accessor:
my $artist = $rs->first();
my $name = $artist->name();
If on the other hand the alias does not correspond to an existing column, you
-can get the value using the C<get_column> accessor:
+have to fetch the value using the C<get_column> accessor:
my $name_length = $artist->get_column('name_length');
# Or use DBIx::Class::AccessorGroup:
__PACKAGE__->mk_group_accessors('column' => 'name_length');
-=head3 SELECT DISTINCT with multiple columns
+=head2 SELECT DISTINCT with multiple columns
my $rs = $schema->resultset('Foo')->search(
{},
select => [
{ distinct => [ $source->columns ] }
],
- as => [ $source->columns ]
+ as => [ $source->columns ] # remember 'as' is not the same as SQL AS :-)
}
);
-=head3 SELECT COUNT(DISTINCT colname)
+=head2 SELECT COUNT(DISTINCT colname)
my $rs = $schema->resultset('Foo')->search(
{},
}
);
-=head3 Grouping results
+ my $count = $rs->next->get_column('count');
+
+=head2 Grouping results
L<DBIx::Class> supports C<GROUP BY> as follows:
{},
{
join => [qw/ cds /],
- select => [ 'name', { count => 'cds.cdid' } ],
+ select => [ 'name', { count => 'cds.id' } ],
as => [qw/ name cd_count /],
group_by => [qw/ name /]
}
);
# Equivalent SQL:
- # SELECT name, COUNT( cds.cdid ) FROM artist me
- # LEFT JOIN cd cds ON ( cds.artist = me.artistid )
+ # SELECT name, COUNT( cd.id ) FROM artist
+ # LEFT JOIN cd ON artist.id = cd.artist
# GROUP BY name
+Please see L<DBIx::Class::ResultSet/ATTRIBUTES> 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
+
+You can write subqueries relatively easily in DBIC.
+
+ my $inside_rs = $schema->resultset('Artist')->search({
+ name => [ 'Billy Joel', 'Brittany Spears' ],
+ });
+
+ my $rs = $schema->resultset('CD')->search({
+ artist_id => { 'IN' => $inside_rs->get_column('id')->as_query },
+ });
+
+The usual operators ( =, !=, IN, NOT IN, etc) are supported.
+
+B<NOTE>: You have to explicitly use '=' when doing an equality comparison.
+The following will B<not> work:
+
+ my $rs = $schema->resultset('CD')->search({
+ artist_id => $inside_rs->get_column('id')->as_query,
+ });
+
+=head3 Support
+
+Subqueries are supported in the where clause (first hashref), and in the
+from, select, and +select attributes.
+
+=head3 Correlated subqueries
+
+ my $cdrs = $schema->resultset('CD');
+ my $rs = $cdrs->search({
+ year => {
+ '=' => $cdrs->search(
+ { artistid => { '=' => \'me.artistid' } },
+ { alias => 'inner' }
+ )->get_column('year')->max_rs->as_query,
+ },
+ });
+
+That creates the following SQL:
+
+ SELECT me.cdid, me.artist, me.title, me.year, me.genreid, me.single_track
+ FROM cd me
+ WHERE year = (
+ SELECT MAX(inner.year)
+ FROM cd inner
+ WHERE artistid = me.artistid
+ )
+
+=head2 Predefined searches
+
+You can write your own L<DBIx::Class::ResultSet> class by inheriting from it
+and define often used searches as methods:
+
+ package My::DBIC::ResultSet::CD;
+ use strict;
+ use warnings;
+ use base 'DBIx::Class::ResultSet';
+
+ sub search_cds_ordered {
+ my ($self) = @_;
+
+ return $self->search(
+ {},
+ { order_by => 'name DESC' },
+ );
+ }
+
+ 1;
+
+To use your resultset, first tell DBIx::Class to create an instance of it
+for you, in your My::DBIC::Schema::CD class:
+
+ # class definition as normal
+ __PACKAGE__->load_components(qw/ Core /);
+ __PACKAGE__->table('cd');
+
+ # tell DBIC to use the custom ResultSet class
+ __PACKAGE__->resultset_class('My::DBIC::ResultSet::CD');
+
+Note that C<resultset_class> must be called after C<load_components> and C<table>, or you will get errors about missing methods.
+
+Then call your new method in your code:
+
+ my $ordered_cds = $schema->resultset('CD')->search_cds_ordered();
+
+=head2 Using SQL functions on the left hand side of a comparison
+
+Using SQL functions on the left hand side of a comparison is generally
+not a good idea since it requires a scan of the entire table. However,
+it can be accomplished with C<DBIx::Class> when necessary.
+
+If you do not have quoting on, simply include the function in your search
+specification as you would any column:
+
+ $rs->search({ 'YEAR(date_of_birth)' => 1979 });
+
+With quoting on, or for a more portable solution, use the C<where>
+attribute:
+
+ $rs->search({}, { where => \'YEAR(date_of_birth) = 1979' });
+
+=begin hidden
+
+(When the bind args ordering bug is fixed, this technique will be better
+and can replace the one above.)
+
+With quoting on, or for a more portable solution, use the C<where> and
+C<bind> attributes:
+
+ $rs->search({}, {
+ where => \'YEAR(date_of_birth) = ?',
+ bind => [ 1979 ]
+ });
+
+=end hidden
+
+=head1 JOINS AND PREFETCHING
+
=head2 Using joins and prefetch
You can use the C<join> attribute to allow searching on, or sorting your
'artist.name' => 'Bob Marley'
},
{
- join => [qw/artist/], # join the artist table
+ join => 'artist', # join the artist table
}
);
'artist.name' => 'Bob Marley'
},
{
- join => [qw/ artist /],
+ join => 'artist',
order_by => [qw/ artist.name /]
}
- };
+ );
# Equivalent SQL:
# SELECT cd.* FROM cd
'artist.name' => 'Bob Marley'
},
{
- join => [qw/ artist /],
+ join => 'artist',
order_by => [qw/ artist.name /],
- prefetch => [qw/ artist /] # return artist data too!
+ prefetch => 'artist' # return artist data too!
}
);
so no additional SQL statements are executed. You now have a much more
efficient query.
-Note that as of L<DBIx::Class> 0.04, C<prefetch> cannot be used with
-C<has_many> relationships. You will get an error along the lines of "No
-accessor for prefetched ..." if you try.
+Note that as of L<DBIx::Class> 0.05999_01, C<prefetch> I<can> be used with
+C<has_many> relationships.
Also note that C<prefetch> 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!
-=head3 Multi-step joins
+=head2 Multiple joins
+
+In the examples above, the C<join> attribute was a scalar. If you
+pass an array reference instead, you can join to multiple tables. In
+this example, we want to limit the search further, using
+C<LinerNotes>:
+
+ # Relationships defined elsewhere:
+ # CD->belongs_to('artist' => 'Artist');
+ # CD->has_one('liner_notes' => 'LinerNotes', 'cd');
+ my $rs = $schema->resultset('CD')->search(
+ {
+ 'artist.name' => 'Bob Marley'
+ 'liner_notes.notes' => { 'like', '%some text%' },
+ },
+ {
+ join => [qw/ artist liner_notes /],
+ order_by => [qw/ artist.name /],
+ }
+ );
+
+ # Equivalent SQL:
+ # SELECT cd.*, artist.*, liner_notes.* FROM cd
+ # JOIN artist ON cd.artist = artist.id
+ # JOIN liner_notes ON cd.id = liner_notes.cd
+ # WHERE artist.name = 'Bob Marley'
+ # ORDER BY artist.name
+
+=head2 Multi-step joins
Sometimes you want to join more than one relationship deep. In this example,
we want to find all C<Artist> objects who have C<CD>s whose C<LinerNotes>
# Equivalent SQL:
# SELECT artist.* FROM artist
- # JOIN ( cd ON artist.id = cd.artist )
- # JOIN ( liner_notes ON cd.id = liner_notes.cd )
+ # LEFT JOIN cd ON artist.id = cd.artist
+ # LEFT JOIN liner_notes ON cd.id = liner_notes.cd
# WHERE liner_notes.notes LIKE '%some text%'
Joins can be nested to an arbitrary level. So if we decide later that we
# Equivalent SQL:
# SELECT artist.* FROM artist
- # JOIN ( cd ON artist.id = cd.artist )
- # JOIN ( liner_notes ON cd.id = liner_notes.cd )
- # JOIN ( author ON author.id = liner_notes.author )
+ # LEFT JOIN cd ON artist.id = cd.artist
+ # LEFT JOIN liner_notes ON cd.id = liner_notes.cd
+ # LEFT JOIN author ON author.id = liner_notes.author
# WHERE liner_notes.notes LIKE '%some text%'
# AND author.name = 'A. Writer'
+=head2 Multi-step and multiple joins
+
+With various combinations of array and hash references, you can join
+tables in any combination you desire. For example, to join Artist to
+CD and Concert, and join CD to LinerNotes:
+
+ # Relationships defined elsewhere:
+ # Artist->has_many('concerts' => 'Concert', 'artist');
+
+ my $rs = $schema->resultset('Artist')->search(
+ { },
+ {
+ join => [
+ {
+ cds => 'liner_notes'
+ },
+ 'concerts'
+ ],
+ }
+ );
+
+ # Equivalent SQL:
+ # SELECT artist.* FROM artist
+ # LEFT JOIN cd ON artist.id = cd.artist
+ # LEFT JOIN liner_notes ON cd.id = liner_notes.cd
+ # LEFT JOIN concert ON artist.id = concert.artist
+
=head2 Multi-step prefetch
From 0.04999_05 onwards, C<prefetch> can be nested more than one relationship
# Equivalent SQL:
# SELECT tag.*, cd.*, artist.* FROM tag
- # JOIN cd ON tag.cd = cd.cdid
- # JOIN artist ON cd.artist = artist.artistid
+ # JOIN cd ON tag.cd = cd.id
+ # JOIN artist ON cd.artist = artist.id
Now accessing our C<cd> and C<artist> relationships does not need additional
SQL statements:
my $tag = $rs->first;
print $tag->cd->artist->name;
-=head2 Transactions
+=head1 ROW-LEVEL OPERATIONS
+
+=head2 Retrieving a row object's Schema
+
+It is possible to get a Schema object from a row object like so:
+
+ my $schema = $cd->result_source->schema;
+ # use the schema as normal:
+ my $artist_rs = $schema->resultset('Artist');
+
+This can be useful when you don't want to pass around a Schema object to every
+method.
+
+=head2 Getting the value of the primary key for the last database insert
+
+AKA getting last_insert_id
+
+If you are using PK::Auto (which is a core component as of 0.07), this is
+straightforward:
+
+ my $foo = $rs->create(\%blah);
+ # do more stuff
+ my $id = $foo->id; # foo->my_primary_key_field will also work.
+
+If you are not using autoincrementing primary keys, this will probably
+not work, but then you already know the value of the last primary key anyway.
+
+=head2 Stringification
+
+Employ the standard stringification technique by using the C<overload>
+module.
+
+To make an object stringify itself as a single column, use something
+like this (replace C<foo> with the column/method of your choice):
+
+ use overload '""' => sub { shift->name}, fallback => 1;
+
+For more complex stringification, you can use an anonymous subroutine:
+
+ use overload '""' => sub { $_[0]->name . ", " .
+ $_[0]->address }, fallback => 1;
+
+=head3 Stringification Example
+
+Suppose we have two tables: C<Product> and C<Category>. The table
+specifications are:
+
+ Product(id, Description, category)
+ Category(id, Description)
+
+C<category> is a foreign key into the Category table.
+
+If you have a Product object C<$obj> and write something like
+
+ print $obj->category
+
+things will not work as expected.
+
+To obtain, for example, the category description, you should add this
+method to the class defining the Category table:
+
+ use overload "" => sub {
+ my $self = shift;
+
+ return $self->Description;
+ }, fallback => 1;
+
+=head2 Want to know if find_or_create found or created a row?
+
+Just use C<find_or_new> instead, then check C<in_storage>:
+
+ my $obj = $rs->find_or_new({ blah => 'blarg' });
+ unless ($obj->in_storage) {
+ $obj->insert;
+ # do whatever else you wanted if it was a new row
+ }
+
+=head2 Dynamic Sub-classing DBIx::Class proxy classes
+
+AKA multi-class object inflation from one table
+
+L<DBIx::Class> classes are proxy classes, therefore some different
+techniques need to be employed for more than basic subclassing. In
+this example we have a single user table that carries a boolean bit
+for admin. We would like like to give the admin users
+objects(L<DBIx::Class::Row>) the same methods as a regular user but
+also special admin only methods. It doesn't make sense to create two
+seperate proxy-class files for this. We would be copying all the user
+methods into the Admin class. There is a cleaner way to accomplish
+this.
+
+Overriding the C<inflate_result> method within the User proxy-class
+gives us the effect we want. This method is called by
+L<DBIx::Class::ResultSet> when inflating a result from storage. So we
+grab the object being returned, inspect the values we are looking for,
+bless it if it's an admin object, and then return it. See the example
+below:
+
+B<Schema Definition>
+
+ package DB::Schema;
+
+ use base qw/DBIx::Class::Schema/;
+
+ __PACKAGE__->load_classes(qw/User/);
+
+
+B<Proxy-Class definitions>
+
+ package DB::Schema::User;
+
+ use strict;
+ use warnings;
+ use base qw/DBIx::Class/;
+
+ ### Defined what our admin class is for ensure_class_loaded
+ my $admin_class = __PACKAGE__ . '::Admin';
+
+ __PACKAGE__->load_components(qw/Core/);
+
+ __PACKAGE__->table('users');
+
+ __PACKAGE__->add_columns(qw/user_id email password
+ firstname lastname active
+ admin/);
+
+ __PACKAGE__->set_primary_key('user_id');
+
+ sub inflate_result {
+ my $self = shift;
+ my $ret = $self->next::method(@_);
+ if( $ret->admin ) {### If this is an admin rebless for extra functions
+ $self->ensure_class_loaded( $admin_class );
+ bless $ret, $admin_class;
+ }
+ return $ret;
+ }
+
+ sub hello {
+ print "I am a regular user.\n";
+ return ;
+ }
+
+
+ package DB::Schema::User::Admin;
+
+ use strict;
+ use warnings;
+ use base qw/DB::Schema::User/;
+
+ sub hello
+ {
+ print "I am an admin.\n";
+ return;
+ }
+
+ sub do_admin_stuff
+ {
+ print "I am doing admin stuff\n";
+ return ;
+ }
+
+B<Test File> test.pl
+
+ use warnings;
+ use strict;
+ use DB::Schema;
+
+ my $user_data = { email => 'someguy@place.com',
+ password => 'pass1',
+ admin => 0 };
+
+ my $admin_data = { email => 'someadmin@adminplace.com',
+ password => 'pass2',
+ admin => 1 };
+
+ my $schema = DB::Schema->connection('dbi:Pg:dbname=test');
+
+ $schema->resultset('User')->create( $user_data );
+ $schema->resultset('User')->create( $admin_data );
+
+ ### Now we search for them
+ my $user = $schema->resultset('User')->single( $user_data );
+ my $admin = $schema->resultset('User')->single( $admin_data );
+
+ print ref $user, "\n";
+ print ref $admin, "\n";
+
+ print $user->password , "\n"; # pass1
+ print $admin->password , "\n";# pass2; inherited from User
+ print $user->hello , "\n";# I am a regular user.
+ print $admin->hello, "\n";# I am an admin.
+
+ ### The statement below will NOT print
+ print "I can do admin stuff\n" if $user->can('do_admin_stuff');
+ ### The statement below will print
+ print "I can do admin stuff\n" if $admin->can('do_admin_stuff');
+
+=head2 Skip row object creation for faster results
+
+DBIx::Class is not built for speed, it's built for convenience and
+ease of use, but sometimes you just need to get the data, and skip the
+fancy objects.
+
+To do this simply use L<DBIx::Class::ResultClass::HashRefInflator>.
+
+ my $rs = $schema->resultset('CD');
+
+ $rs->result_class('DBIx::Class::ResultClass::HashRefInflator');
+
+ my $hash_ref = $rs->find(1);
+
+Wasn't that easy?
+
+=head2 Get raw data for blindingly fast results
+
+If the L<HashRefInflator|DBIx::Class::ResultClass::HashRefInflator> 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
+wrapped round them.
+
+This is used like so:
+
+ my $cursor = $rs->cursor
+ while (my @vals = $cursor->next) {
+ # use $val[0..n] here
+ }
+
+You will need to map the array offsets to particular columns (you can
+use the I<select> attribute of C<search()> to force ordering).
+
+=head1 RESULTSET OPERATIONS
+
+=head2 Getting Schema from a ResultSet
+
+To get the schema object from a result set, do the following:
+
+ $rs->result_source->schema
+
+=head2 Getting Columns Of Data
+
+AKA Aggregating Data
+
+If you want to find the sum of a particular column there are several
+ways, the obvious one is to use search:
+
+ my $rs = $schema->resultset('Items')->search(
+ {},
+ {
+ select => [ { sum => 'Cost' } ],
+ as => [ 'total_cost' ], # remember this 'as' is for DBIx::Class::ResultSet not SQL
+ }
+ );
+ my $tc = $rs->first->get_column('total_cost');
+
+Or, you can use the L<DBIx::Class::ResultSetColumn>, which gets
+returned when you ask the C<ResultSet> for a column using
+C<get_column>:
+
+ my $cost = $schema->resultset('Items')->get_column('Cost');
+ my $tc = $cost->sum;
+
+With this you can also do:
+
+ my $minvalue = $cost->min;
+ my $maxvalue = $cost->max;
+
+Or just iterate through the values of this column only:
+
+ while ( my $c = $cost->next ) {
+ print $c;
+ }
+
+ foreach my $c ($cost->all) {
+ print $c;
+ }
+
+C<ResultSetColumn> only has a limited number of built-in functions, if
+you need one that it doesn't have, then you can use the C<func> method
+instead:
+
+ my $avg = $cost->func('AVERAGE');
+
+This will cause the following SQL statement to be run:
+
+ SELECT AVERAGE(Cost) FROM Items me
+
+Which will of course only work if your database supports this function.
+See L<DBIx::Class::ResultSetColumn> for more documentation.
+
+=head2 Creating a result set from a set of rows
+
+Sometimes you have a (set of) row objects that you want to put into a
+resultset without the need to hit the DB again. You can do that by using the
+L<set_cache|DBIx::Class::Resultset/set_cache> method:
+
+ my @uploadable_groups;
+ while (my $group = $groups->next) {
+ if ($group->can_upload($self)) {
+ push @uploadable_groups, $group;
+ }
+ }
+ my $new_rs = $self->result_source->resultset;
+ $new_rs->set_cache(\@uploadable_groups);
+ return $new_rs;
+
+
+=head1 USING RELATIONSHIPS
+
+=head2 Create a new row in a related table
+
+ my $author = $book->create_related('author', { name => 'Fred'});
+
+=head2 Search in a related table
+
+Only searches for books named 'Titanic' by the author in $author.
+
+ my $books_rs = $author->search_related('books', { name => 'Titanic' });
+
+=head2 Delete data in a related table
+
+Deletes only the book named Titanic by the author in $author.
+
+ $author->delete_related('books', { name => 'Titanic' });
+
+=head2 Ordering a relationship result set
+
+If you always want a relation to be ordered, you can specify this when you
+create the relationship.
+
+To order C<< $book->pages >> by descending page_number, create the relation
+as follows:
+
+ __PACKAGE__->has_many('pages' => 'Page', 'book', { order_by => \'page_number DESC'} );
+
+=head2 Filtering a relationship result set
+
+If you want to get a filtered result set, you can just add add to $attr as follows:
+
+ __PACKAGE__->has_many('pages' => 'Page', 'book', { where => { scrap => 0 } } );
+
+=head2 Many-to-many relationships
+
+This is straightforward using L<ManyToMany|DBIx::Class::Relationship/many_to_many>:
+
+ package My::User;
+ use base 'DBIx::Class';
+ __PACKAGE__->load_components('Core');
+ __PACKAGE__->table('user');
+ __PACKAGE__->add_columns(qw/id name/);
+ __PACKAGE__->set_primary_key('id');
+ __PACKAGE__->has_many('user_address' => 'My::UserAddress', 'user');
+ __PACKAGE__->many_to_many('addresses' => 'user_address', 'address');
+
+ package My::UserAddress;
+ use base 'DBIx::Class';
+ __PACKAGE__->load_components('Core');
+ __PACKAGE__->table('user_address');
+ __PACKAGE__->add_columns(qw/user address/);
+ __PACKAGE__->set_primary_key(qw/user address/);
+ __PACKAGE__->belongs_to('user' => 'My::User');
+ __PACKAGE__->belongs_to('address' => 'My::Address');
+
+ package My::Address;
+ use base 'DBIx::Class';
+ __PACKAGE__->load_components('Core');
+ __PACKAGE__->table('address');
+ __PACKAGE__->add_columns(qw/id street town area_code country/);
+ __PACKAGE__->set_primary_key('id');
+ __PACKAGE__->has_many('user_address' => 'My::UserAddress', 'address');
+ __PACKAGE__->many_to_many('users' => 'user_address', 'user');
+
+ $rs = $user->addresses(); # get all addresses for a user
+ $rs = $address->users(); # get all users for an address
+
+=head1 TRANSACTIONS
As of version 0.04001, there is improved transaction support in
-L<DBIx::Class::Storage::DBI> and L<DBIx::Class::Schema>. Here is an
+L<DBIx::Class::Storage> and L<DBIx::Class::Schema>. Here is an
example of the recommended way to use it:
my $genus = $schema->resultset('Genus')->find(12);
+ my $coderef2 = sub {
+ $genus->extinct(1);
+ $genus->update;
+ };
+
my $coderef1 = sub {
- my ($schema, $genus, $code) = @_;
$genus->add_to_species({ name => 'troglodyte' });
$genus->wings(2);
$genus->update;
- $schema->txn_do($code, $genus); # Can have a nested transation
+ $schema->txn_do($coderef2); # Can have a nested transaction. Only the outer will actualy commit
return $genus->species;
};
- my $coderef2 = sub {
- my ($genus) = @_;
- $genus->extinct(1);
- $genus->update;
- };
-
my $rs;
eval {
- $rs = $schema->txn_do($coderef1, $schema, $genus, $coderef2);
+ $rs = $schema->txn_do($coderef1);
};
if ($@) { # Transaction failed
transactions (for databases that support them) will hopefully be added
in the future.
-=head2 Many-to-many relationships
+=head1 SQL
-This is straightforward using L<DBIx::Class::Relationship::ManyToMany>:
+=head2 Creating Schemas From An Existing Database
- package My::DB;
- # ... set up connection ...
+L<DBIx::Class::Schema::Loader> will connect to a database and create a
+L<DBIx::Class::Schema> and associated sources by examining the database.
- package My::User;
- use base 'My::DB';
- __PACKAGE__->table('user');
- __PACKAGE__->add_columns(qw/id name/);
- __PACKAGE__->set_primary_key('id');
- __PACKAGE__->has_many('user_address' => 'My::UserAddress', 'user');
- __PACKAGE__->many_to_many('addresses' => 'user_address', 'address');
+The recommend way of achieving this is to use the
+L<make_schema_at|DBIx::Class::Schema::Loader/make_schema_at> method:
- package My::UserAddress;
- use base 'My::DB';
- __PACKAGE__->table('user_address');
- __PACKAGE__->add_columns(qw/user address/);
- __PACKAGE__->set_primary_key(qw/user address/);
- __PACKAGE__->belongs_to('user' => 'My::User');
- __PACKAGE__->belongs_to('address' => 'My::Address');
+ perl -MDBIx::Class::Schema::Loader=make_schema_at,dump_to_dir:./lib \
+ -e 'make_schema_at("My::Schema", { debug => 1 }, [ "dbi:Pg:dbname=foo","postgres" ])'
- package My::Address;
- use base 'My::DB';
- __PACKAGE__->table('address');
- __PACKAGE__->add_columns(qw/id street town area_code country/);
- __PACKAGE__->set_primary_key('id');
- __PACKAGE__->has_many('user_address' => 'My::UserAddress', 'address');
- __PACKAGE__->many_to_many('users' => 'user_address', 'user');
+This will create a tree of files rooted at C<./lib/My/Schema/> containing
+source definitions for all the tables found in the C<foo> database.
- $rs = $user->addresses(); # get all addresses for a user
- $rs = $address->users(); # get all users for an address
+=head2 Creating DDL SQL
-=head2 Setting default values for a row
+The following functionality requires you to have L<SQL::Translator>
+(also known as "SQL Fairy") installed.
-It's as simple as overriding the C<new> method. Note the use of
-C<next::method>.
+To create a set of database-specific .sql files for the above schema:
- sub new {
- my ( $class, $attrs ) = @_;
+ my $schema = My::Schema->connect($dsn);
+ $schema->create_ddl_dir(['MySQL', 'SQLite', 'PostgreSQL'],
+ '0.1',
+ './dbscriptdir/'
+ );
- $attrs->{foo} = 'bar' unless defined $attrs->{foo};
+By default this will create schema files in the current directory, for
+MySQL, SQLite and PostgreSQL, using the $VERSION from your Schema.pm.
+
+To create a new database using the schema:
+
+ my $schema = My::Schema->connect($dsn);
+ $schema->deploy({ add_drop_tables => 1});
+
+To import created .sql files using the mysql client:
+
+ mysql -h "host" -D "database" -u "user" -p < My_Schema_1.0_MySQL.sql
- $class->next::method($attrs);
+To create C<ALTER TABLE> conversion scripts to update a database to a
+newer version of your schema at a later point, first set a new
+C<$VERSION> in your Schema file, then:
+
+ my $schema = My::Schema->connect($dsn);
+ $schema->create_ddl_dir(['MySQL', 'SQLite', 'PostgreSQL'],
+ '0.2',
+ '/dbscriptdir/',
+ '0.1'
+ );
+
+This will produce new database-specific .sql files for the new version
+of the schema, plus scripts to convert from version 0.1 to 0.2. This
+requires that the files for 0.1 as created above are available in the
+given directory to diff against.
+
+=head2 Select from dual
+
+Dummy tables are needed by some databases to allow calling functions
+or expressions that aren't based on table content, for examples of how
+this applies to various database types, see:
+L<http://troels.arvin.dk/db/rdbms/#other-dummy_table>.
+
+Note: If you're using Oracles dual table don't B<ever> do anything
+other than a select, if you CRUD on your dual table you *will* break
+your database.
+
+Make a table class as you would for any other table
+
+ package MyAppDB::Dual;
+ use strict;
+ use warnings;
+ use base 'DBIx::Class';
+ __PACKAGE__->load_components("Core");
+ __PACKAGE__->table("Dual");
+ __PACKAGE__->add_columns(
+ "dummy",
+ { data_type => "VARCHAR2", is_nullable => 0, size => 1 },
+ );
+
+Once you've loaded your table class select from it using C<select>
+and C<as> instead of C<columns>
+
+ my $rs = $schema->resultset('Dual')->search(undef,
+ { select => [ 'sydate' ],
+ as => [ 'now' ]
+ },
+ );
+
+All you have to do now is be careful how you access your resultset, the below
+will not work because there is no column called 'now' in the Dual table class
+
+ while (my $dual = $rs->next) {
+ print $dual->now."\n";
+ }
+ # Can't locate object method "now" via package "MyAppDB::Dual" at headshot.pl line 23.
+
+You could of course use 'dummy' in C<as> instead of 'now', or C<add_columns> to
+your Dual class for whatever you wanted to select from dual, but that's just
+silly, instead use C<get_column>
+
+ while (my $dual = $rs->next) {
+ print $dual->get_column('now')."\n";
+ }
+
+Or use C<cursor>
+
+ my $cursor = $rs->cursor;
+ while (my @vals = $cursor->next) {
+ print $vals[0]."\n";
}
+
+Or use L<DBIx::Class::ResultClass::HashRefInflator>
+
+ $rs->result_class('DBIx::Class::ResultClass::HashRefInflator');
+ while ( my $dual = $rs->next ) {
+ print $dual->{now}."\n";
+ }
+
+Here are some example C<select> conditions to illustrate the different syntax
+you could use for doing stuff like
+C<oracles.heavily(nested(functions_can('take', 'lots'), OF), 'args')>
+
+ # get a sequence value
+ select => [ 'A_SEQ.nextval' ],
+
+ # get create table sql
+ select => [ { 'dbms_metadata.get_ddl' => [ "'TABLE'", "'ARTIST'" ]} ],
+
+ # get a random num between 0 and 100
+ select => [ { "trunc" => [ { "dbms_random.value" => [0,100] } ]} ],
+
+ # what year is it?
+ select => [ { 'extract' => [ \'year from sysdate' ] } ],
+
+ # do some math
+ select => [ {'round' => [{'cos' => [ \'180 * 3.14159265359/180' ]}]}],
+
+ # which day of the week were you born on?
+ select => [{'to_char' => [{'to_date' => [ "'25-DEC-1980'", "'dd-mon-yyyy'" ]}, "'day'"]}],
+
+ # select 16 rows from dual
+ select => [ "'hello'" ],
+ as => [ 'world' ],
+ group_by => [ 'cube( 1, 2, 3, 4 )' ],
+
+
+
+=head2 Adding Indexes And Functions To Your SQL
+
+Often you will want indexes on columns on your table to speed up searching. To
+do this, create a method called C<sqlt_deploy_hook> in the relevant source
+class (refer to the advanced
+L<callback system|DBIx::Class::ResultSource/sqlt_deploy_callback> if you wish
+to share a hook between multiple sources):
+
+ package My::Schema::Artist;
+
+ __PACKAGE__->table('artist');
+ __PACKAGE__->add_columns(id => { ... }, name => { ... })
+
+ sub sqlt_deploy_hook {
+ my ($self, $sqlt_table) = @_;
+
+ $sqlt_table->add_index(name => 'idx_name', fields => ['name']);
+ }
+
+ 1;
+
+Sometimes you might want to change the index depending on the type of the
+database for which SQL is being generated:
+
+ my ($db_type = $sqlt_table->schema->translator->producer_type)
+ =~ s/^SQL::Translator::Producer:://;
+
+You can also add hooks to the schema level to stop certain tables being
+created:
+
+ package My::Schema;
+
+ ...
+
+ sub sqlt_deploy_hook {
+ my ($self, $sqlt_schema) = @_;
+
+ $sqlt_schema->drop_table('table_name');
+ }
+
+You could also add views, procedures or triggers to the output using
+L<SQL::Translator::Schema/add_view>,
+L<SQL::Translator::Schema/add_procedure> or
+L<SQL::Translator::Schema/add_trigger>.
-=head2 Stringification
-Employ the standard stringification technique by using the C<overload>
-module. Replace C<foo> with the column/method of your choice.
+=head2 Schema versioning
- use overload '""' => 'foo', fallback => 1;
+The following example shows simplistically how you might use DBIx::Class to
+deploy versioned schemas to your customers. The basic process is as follows:
-=head2 Disconnecting cleanly
+=over 4
-If you find yourself quitting an app with Control-C a lot during
-development, you might like to put the following signal handler in
-your main database class to make sure it disconnects cleanly:
+=item 1.
- $SIG{INT} = sub {
- __PACKAGE__->storage->disconnect;
- };
+Create a DBIx::Class schema
+
+=item 2.
+
+Save the schema
+
+=item 3.
+
+Deploy to customers
+
+=item 4.
+
+Modify schema to change functionality
+
+=item 5.
+
+Deploy update to customers
+
+=back
+
+B<Create a DBIx::Class schema>
+
+This can either be done manually, or generated from an existing database as
+described under L</Creating Schemas From An Existing Database>
+
+B<Save the schema>
+
+Call L<DBIx::Class::Schema/create_ddl_dir> as above under L</Creating DDL SQL>.
+
+B<Deploy to customers>
+
+There are several ways you could deploy your schema. These are probably
+beyond the scope of this recipe, but might include:
+
+=over 4
+
+=item 1.
+
+Require customer to apply manually using their RDBMS.
+
+=item 2.
+
+Package along with your app, making database dump/schema update/tests
+all part of your install.
+
+=back
+
+B<Modify the schema to change functionality>
-=head2 Schema import/export
+As your application evolves, it may be necessary to modify your schema
+to change functionality. Once the changes are made to your schema in
+DBIx::Class, export the modified schema and the conversion scripts as
+in L</Creating DDL SQL>.
-This functionality requires you to have L<SQL::Translator> (also known as
-"SQL Fairy") installed.
+B<Deploy update to customers>
-To create a DBIx::Class schema from an existing database:
+Add the L<DBIx::Class::Schema::Versioned> schema component to your
+Schema class. This will add a new table to your database called
+C<dbix_class_schema_vesion> which will keep track of which version is installed
+and warn if the user trys to run a newer schema version than the
+database thinks it has.
- sqlt --from DBI
- --to DBIx::Class::File
- --prefix "MySchema" > MySchema.pm
+Alternatively, you can send the conversion sql scripts to your
+customers as above.
-To create a MySQL database from an existing L<DBIx::Class> schema, convert the
-schema to MySQL's dialect of SQL:
+=head2 Setting quoting for the generated SQL.
- sqlt --from DBIx::Class --to MySQL --DBIx::Class "MySchema.pm" > Schema1.sql
+If the database contains column names with spaces and/or reserved words, they
+need to be quoted in the SQL queries. This is done using:
+
+ __PACKAGE__->storage->sql_maker->quote_char([ qw/[ ]/] );
+ __PACKAGE__->storage->sql_maker->name_sep('.');
+
+The first sets the quote characters. Either a pair of matching
+brackets, or a C<"> or C<'>:
-And import using the mysql client:
+ __PACKAGE__->storage->sql_maker->quote_char('"');
+
+Check the documentation of your database for the correct quote
+characters to use. C<name_sep> needs to be set to allow the SQL
+generator to put the quotes the correct place.
+
+In most cases you should set these as part of the arguments passed to
+L<DBIx::Class::Schema/connect>:
+
+ my $schema = My::Schema->connect(
+ 'dbi:mysql:my_db',
+ 'db_user',
+ 'db_password',
+ {
+ quote_char => '"',
+ name_sep => '.'
+ }
+ )
+
+=head2 Setting limit dialect for SQL::Abstract::Limit
+
+In some cases, SQL::Abstract::Limit cannot determine the dialect of
+the remote SQL server by looking at the database handle. This is a
+common problem when using the DBD::JDBC, since the DBD-driver only
+know that in has a Java-driver available, not which JDBC driver the
+Java component has loaded. This specifically sets the limit_dialect
+to Microsoft SQL-server (See more names in SQL::Abstract::Limit
+-documentation.
+
+ __PACKAGE__->storage->sql_maker->limit_dialect('mssql');
+
+The JDBC bridge is one way of getting access to a MSSQL server from a platform
+that Microsoft doesn't deliver native client libraries for. (e.g. Linux)
+
+The limit dialect can also be set at connect time by specifying a
+C<limit_dialect> key in the final hash as shown above.
+
+=head2 Working with PostgreSQL array types
+
+You can also assign values to PostgreSQL array columns by passing array
+references in the C<\%columns> (C<\%vals>) hashref of the
+L<DBIx::Class::ResultSet/create> and L<DBIx::Class::Row/update> family of
+methods:
+
+ $resultset->create({
+ numbers => [1, 2, 3]
+ });
+
+ $row->update(
+ {
+ numbers => [1, 2, 3]
+ },
+ {
+ day => '2008-11-24'
+ }
+ );
- mysql -h "host" -D "database" -u "user" -p < Schema1.sql
+In conditions (eg. C<\%cond> in the L<DBIx::Class::ResultSet/search> family of
+methods) you cannot directly use array references (since this is interpreted as
+a list of values to be C<OR>ed), but you can use the following syntax to force
+passing them as bind values:
+
+ $resultset->search(
+ {
+ numbers => \[ '= ?', [numbers => [1, 2, 3]] ]
+ }
+ );
+
+See L<SQL::Abstract/array_datatypes> and L<SQL::Abstract/Literal SQL with
+placeholders and bind values (subqueries)> for more explanation. Note that
+L<DBIx::Class> sets L<SQL::Abstract/bindtype> to C<columns>, so you must pass
+the bind values (the C<[1, 2, 3]> arrayref in the above example) wrapped in
+arrayrefs together with the column name, like this: C<< [column_name => value]
+>>.
+
+=head1 BOOTSTRAPPING/MIGRATING
=head2 Easy migration from class-based to schema-based setup
validate => $validate || 0,
parser_args => {
'DBIx::Schema' => $schema,
- }
+ },
producer_args => {
'prefix' => 'My::Schema',
- }
+ },
);
- $translator->parser('DBIx::Class');
- $translator->producer('DBIx::Class::File');
+ $translator->parser('SQL::Translator::Parser::DBIx::Class');
+ $translator->producer('SQL::Translator::Producer::DBIx::Class::File');
my $output = $translator->translate(@args) or die
"Error: " . $translator->error;
print $output;
You could use L<Module::Find> to search for all subclasses in the MyDB::*
-namespace, which is currently left as an excercise for the reader.
+namespace, which is currently left as an exercise for the reader.
-=head2 Schema versioning
+=head1 OVERLOADING METHODS
-The following example shows simplistically how you might use DBIx::Class to
-deploy versioned schemas to your customers. The basic process is as follows:
+L<DBIx::Class> uses the L<Class::C3> package, which provides for redispatch of
+method calls, useful for things like default values and triggers. You have to
+use calls to C<next::method> to overload methods. More information on using
+L<Class::C3> with L<DBIx::Class> can be found in
+L<DBIx::Class::Manual::Component>.
-=over 4
+=head2 Setting default values for a row
-=item 1.
+It's as simple as overriding the C<new> method. Note the use of
+C<next::method>.
-Create a DBIx::Class schema
+ sub new {
+ my ( $class, $attrs ) = @_;
-=item 2.
+ $attrs->{foo} = 'bar' unless defined $attrs->{foo};
-Save the schema
+ my $new = $class->next::method($attrs);
-=item 3.
+ return $new;
+ }
-Deploy to customers
+For more information about C<next::method>, look in the L<Class::C3>
+documentation. See also L<DBIx::Class::Manual::Component> for more
+ways to write your own base classes to do this.
-=item 4.
+People looking for ways to do "triggers" with DBIx::Class are probably
+just looking for this.
-Modify schema to change functionality
+=head2 Changing one field whenever another changes
-=item 5.
+For example, say that you have three columns, C<id>, C<number>, and
+C<squared>. You would like to make changes to C<number> and have
+C<squared> be automagically set to the value of C<number> squared.
+You can accomplish this by overriding C<store_column>:
-Deploy update to customers
+ sub store_column {
+ my ( $self, $name, $value ) = @_;
+ if ($name eq 'number') {
+ $self->squared($value * $value);
+ }
+ $self->next::method($name, $value);
+ }
-=back
+Note that the hard work is done by the call to C<next::method>, which
+redispatches your call to store_column in the superclass(es).
-=head3 Create a DBIx::Class schema
+=head2 Automatically creating related objects
-This can either be done manually, or generated from an existing database as
-described under C<Schema import/export>.
+You might have a class C<Artist> which has many C<CD>s. Further, if you
+want to create a C<CD> object every time you insert an C<Artist> object.
+You can accomplish this by overriding C<insert> on your objects:
-=head3 Save the schema
+ sub insert {
+ my ( $self, @args ) = @_;
+ $self->next::method(@args);
+ $self->cds->new({})->fill_from_artist($self)->insert;
+ return $self;
+ }
-Use C<sqlt> to transform your schema into an SQL script suitable for your
-customer's database. E.g. for MySQL:
+where C<fill_from_artist> is a method you specify in C<CD> which sets
+values in C<CD> based on the data in the C<Artist> object you pass in.
- sqlt --from DBIx::Class
- --to MySQL
- --DBIx::Class "MySchema.pm" > Schema1.mysql.sql
+=head2 Wrapping/overloading a column accessor
-If you need to target databases from multiple vendors, just generate an SQL
-script suitable for each. To support PostgreSQL too:
+B<Problem:>
- sqlt --from DBIx::Class
- --to PostgreSQL
- --DBIx::Class "MySchema.pm" > Schema1.pgsql.sql
+Say you have a table "Camera" and want to associate a description
+with each camera. For most cameras, you'll be able to generate the description from
+the other columns. However, in a few special cases you may want to associate a
+custom description with a camera.
-=head3 Deploy to customers
+B<Solution:>
-There are several ways you could deploy your schema. These are probably
-beyond the scope of this recipe, but might include:
+In your database schema, define a description field in the "Camera" table that
+can contain text and null values.
-=over 4
+In DBIC, we'll overload the column accessor to provide a sane default if no
+custom description is defined. The accessor will either return or generate the
+description, depending on whether the field is null or not.
-=item 1.
+First, in your "Camera" schema class, define the description field as follows:
-Require customer to apply manually using their RDBMS.
+ __PACKAGE__->add_columns(description => { accessor => '_description' });
-=item 2.
+Next, we'll define the accessor-wrapper subroutine:
-Package along with your app, making database dump/schema update/tests
-all part of your install.
+ sub description {
+ my $self = shift;
-=back
+ # If there is an update to the column, we'll let the original accessor
+ # deal with it.
+ return $self->_description(@_) if @_;
-=head3 Modify the schema to change functionality
+ # Fetch the column value.
+ my $description = $self->_description;
-As your application evolves, it may be necessary to modify your schema to
-change functionality. Once the changes are made to your schema in DBIx::Class,
-export the modified schema as before, taking care not to overwrite the original:
+ # If there's something in the description field, then just return that.
+ return $description if defined $description && length $descripton;
- sqlt --from DBIx::Class
- --to MySQL
- --DBIx::Class "Anything.pm" > Schema2.mysql.sql
+ # Otherwise, generate a description.
+ return $self->generate_description;
+ }
-Next, use sqlt-diff to create an SQL script that will update the customer's
-database schema:
+=head1 DEBUGGING AND PROFILING
- sqlt-diff --to MySQL Schema1=MySQL Schema2=MySQL > SchemaUpdate.mysql.sql
+=head2 DBIx::Class objects with Data::Dumper
-=head3 Deploy update to customers
+L<Data::Dumper> can be a very useful tool for debugging, but sometimes it can
+be hard to find the pertinent data in all the data it can generate.
+Specifically, if one naively tries to use it like so,
-The schema update can be deployed to customers using the same method as before.
+ use Data::Dumper;
-=head2 Setting limit dialect for SQL::Abstract::Limit
+ my $cd = $schema->resultset('CD')->find(1);
+ print Dumper($cd);
-In some cases, SQL::Abstract::Limit cannot determine the dialect of the remote
-SQL-server by looking at the database-handle. This is a common problem when
-using the DBD::JDBC, since the DBD-driver only know that in has a Java-driver
-available, not which JDBC-driver the Java component has loaded.
-This specifically sets the limit_dialect to Microsoft SQL-server (Se more names
-in SQL::Abstract::Limit -documentation.
+several pages worth of data from the CD object's schema and result source will
+be dumped to the screen. Since usually one is only interested in a few column
+values of the object, this is not very helpful.
- __PACKAGE__->storage->sql_maker->limit_dialect('mssql');
+Luckily, it is possible to modify the data before L<Data::Dumper> outputs
+it. Simply define a hook that L<Data::Dumper> will call on the object before
+dumping it. For example,
-The JDBC-bridge is one way of getting access to a MSSQL-server from a platform
-that Microsoft doesn't deliver native client libraries for. (e.g. Linux)
+ package My::DB::CD;
-=head2 Setting quotes for the generated SQL.
+ sub _dumper_hook {
+ $_[0] = bless {
+ %{ $_[0] },
+ result_source => undef,
+ }, ref($_[0]);
+ }
-If the database contains columnames with spaces and/or reserved words, the
-SQL-query needs to be quoted. This is done using:
+ [...]
- __PACKAGE__->storage->sql_maker->quote_char([ qw/[ ]/] );
- __PACKAGE__->storage->sql_maker->name_sep('.');
+ use Data::Dumper;
-The first sets the quotesymbols. If the quote i "symmetric" as " or '
-
- __PACKAGE__->storage->sql_maker->quote_char('"');
+ local $Data::Dumper::Freezer = '_dumper_hook';
+
+ my $cd = $schema->resultset('CD')->find(1);
+ print Dumper($cd);
+ # dumps $cd without its ResultSource
+
+If the structure of your schema is such that there is a common base class for
+all your table classes, simply put a method similar to C<_dumper_hook> in the
+base class and set C<$Data::Dumper::Freezer> to its name and L<Data::Dumper>
+will automagically clean up your data before printing it. See
+L<Data::Dumper/EXAMPLES> for more information.
+
+=head2 Profiling
+
+When you enable L<DBIx::Class::Storage>'s debugging it prints the SQL
+executed as well as notifications of query completion and transaction
+begin/commit. If you'd like to profile the SQL you can subclass the
+L<DBIx::Class::Storage::Statistics> class and write your own profiling
+mechanism:
+
+ package My::Profiler;
+ use strict;
+
+ use base 'DBIx::Class::Storage::Statistics';
+
+ use Time::HiRes qw(time);
+
+ my $start;
+
+ sub query_start {
+ my $self = shift();
+ my $sql = shift();
+ my $params = @_;
+
+ $self->print("Executing $sql: ".join(', ', @params)."\n");
+ $start = time();
+ }
+
+ sub query_end {
+ my $self = shift();
+ my $sql = shift();
+ my @params = @_;
+
+ my $elapsed = sprintf("%0.4f", time() - $start);
+ $self->print("Execution took $elapsed seconds.\n");
+ $start = undef;
+ }
+
+ 1;
+
+You can then install that class as the debugging object:
+
+ __PACKAGE__->storage->debugobj(new My::Profiler());
+ __PACKAGE__->storage->debug(1);
+
+A more complicated example might involve storing each execution of SQL in an
+array:
+
+ sub query_end {
+ my $self = shift();
+ my $sql = shift();
+ my @params = @_;
+
+ my $elapsed = time() - $start;
+ push(@{ $calls{$sql} }, {
+ params => \@params,
+ elapsed => $elapsed
+ });
+ }
+
+You could then create average, high and low execution times for an SQL
+statement and dig down to see if certain parameters cause aberrant behavior.
+You might want to check out L<DBIx::Class::QueryLog> as well.
+
+=head1 STARTUP SPEED
+
+L<DBIx::Class|DBIx::Class> programs can have a significant startup delay
+as the ORM loads all the relevant classes. This section examines
+techniques for reducing the startup delay.
+
+These tips are are listed in order of decreasing effectiveness - so the
+first tip, if applicable, should have the greatest effect on your
+application.
+
+=head2 Statically Define Your Schema
+
+If you are using
+L<DBIx::Class::Schema::Loader|DBIx::Class::Schema::Loader> to build the
+classes dynamically based on the database schema then there will be a
+significant startup delay.
+
+For production use a statically defined schema (which can be generated
+using L<DBIx::Class::Schema::Loader|DBIx::Class::Schema::Loader> to dump
+the database schema once - see
+L<make_schema_at|DBIx::Class::Schema::Loader/make_schema_at> and
+L<dump_directory|DBIx::Class::Schema::Loader/dump_directory> for more
+details on creating static schemas from a database).
+
+=head2 Move Common Startup into a Base Class
+
+Typically L<DBIx::Class> result classes start off with
+
+ use base qw/DBIx::Class/;
+ __PACKAGE__->load_components(qw/InflateColumn::DateTime Core/);
+
+If this preamble is moved into a common base class:-
+
+ package MyDBICbase;
+
+ use base qw/DBIx::Class/;
+ __PACKAGE__->load_components(qw/InflateColumn::DateTime Core/);
+ 1;
+
+and each result class then uses this as a base:-
+
+ use base qw/MyDBICbase/;
+
+then the load_components is only performed once, which can result in a
+considerable startup speedup for schemas with many classes.
+
+=head2 Explicitly List Schema Result Classes
+
+The schema class will normally contain
+
+ __PACKAGE__->load_classes();
+
+to load the result classes. This will use L<Module::Find|Module::Find>
+to find and load the appropriate modules. Explicitly defining the
+classes you wish to load will remove the overhead of
+L<Module::Find|Module::Find> and the related directory operations:-
+
+ __PACKAGE__->load_classes(qw/ CD Artist Track /);
-is enough. If the left qoute differs form the right quote, the first
-notation should be used. name_sep needs to be set to allow the
-SQL generator to put the quotes the correct place.
+If you are instead using the L<load_namespaces|DBIx::Class::Schema/load_namespaces>
+syntax to load the appropriate classes there is not a direct alternative
+avoiding L<Module::Find|Module::Find>.
=cut