———————————————————————————————————package
DBIx::Class::ResultSet;
use
strict;
use
warnings;
use
overload
'0+'
=> \
&count
,
'bool'
=>
sub
{ 1; },
fallback
=> 1;
use
Data::Page;
use
Storable;
use
Data::Dumper;
__PACKAGE__->load_components(
qw/AccessorGroup/
);
__PACKAGE__->mk_group_accessors(
'simple'
=>
qw/result_source result_class/
);
=head1 NAME
DBIx::Class::ResultSet - Responsible for fetching and creating resultset.
=head1 SYNOPSIS
my $rs = $schema->resultset('User')->search(registered => 1);
my @rows = $schema->resultset('CD')->search(year => 2005);
=head1 DESCRIPTION
The resultset is also known as an iterator. It is responsible for handling
queries that may return an arbitrary number of rows, e.g. via L</search>
or a C<has_many> relationship.
In the examples below, the following table classes are used:
package MyApp::Schema::Artist;
use base qw/DBIx::Class/;
__PACKAGE__->load_components(qw/Core/);
__PACKAGE__->table('artist');
__PACKAGE__->add_columns(qw/artistid name/);
__PACKAGE__->set_primary_key('artistid');
__PACKAGE__->has_many(cds => 'MyApp::Schema::CD');
1;
package MyApp::Schema::CD;
use base qw/DBIx::Class/;
__PACKAGE__->load_components(qw/Core/);
__PACKAGE__->table('cd');
__PACKAGE__->add_columns(qw/cdid artist title year/);
__PACKAGE__->set_primary_key('cdid');
__PACKAGE__->belongs_to(artist => 'MyApp::Schema::Artist');
1;
=head1 METHODS
=head2 new
=over 4
=item Arguments: $source, \%$attrs
=item Return Value: $rs
=back
The resultset constructor. Takes a source object (usually a
L<DBIx::Class::ResultSourceProxy::Table>) and an attribute hash (see
L</ATTRIBUTES> below). Does not perform any queries -- these are
executed as needed by the other methods.
Generally you won't need to construct a resultset manually. You'll
automatically get one from e.g. a L</search> called in scalar context:
my $rs = $schema->resultset('CD')->search({ title => '100th Window' });
IMPORTANT: If called on an object, proxies to new_result instead so
my $cd = $schema->resultset('CD')->new({ title => 'Spoon' });
will return a CD object, not a ResultSet.
=cut
sub
new {
my
$class
=
shift
;
return
$class
->new_result(
@_
)
if
ref
$class
;
my
(
$source
,
$attrs
) =
@_
;
weaken
$source
;
if
(
$attrs
->{page}) {
$attrs
->{rows} ||= 10;
$attrs
->{offset} ||= 0;
$attrs
->{offset} += (
$attrs
->{rows} * (
$attrs
->{page} - 1));
}
$attrs
->{alias} ||=
'me'
;
bless
{
result_source
=>
$source
,
result_class
=>
$attrs
->{result_class} ||
$source
->result_class,
cond
=>
$attrs
->{where},
# from => $attrs->{from},
# collapse => $collapse,
count
=>
undef
,
page
=>
delete
$attrs
->{page},
pager
=>
undef
,
attrs
=>
$attrs
},
$class
;
}
=head2 search
=over 4
=item Arguments: $cond, \%attrs?
=item Return Value: $resultset (scalar context), @row_objs (list context)
=back
my @cds = $cd_rs->search({ year => 2001 }); # "... WHERE year = 2001"
my $new_rs = $cd_rs->search({ year => 2005 });
my $new_rs = $cd_rs->search([ { year => 2005 }, { year => 2004 } ]);
# year = 2005 OR year = 2004
If you need to pass in additional attributes but no additional condition,
call it as C<search(undef, \%attrs)>.
# "SELECT name, artistid FROM $artist_table"
my @all_artists = $schema->resultset('Artist')->search(undef, {
columns => [qw/name artistid/],
});
=cut
sub
search {
my
$self
=
shift
;
my
$rs
=
$self
->search_rs(
@_
);
return
(
wantarray
?
$rs
->all :
$rs
);
}
=head2 search_rs
=over 4
=item Arguments: $cond, \%attrs?
=item Return Value: $resultset
=back
This method does the same exact thing as search() except it will
always return a resultset, even in list context.
=cut
sub
search_rs {
my
$self
=
shift
;
my
$our_attrs
= { %{
$self
->{attrs}} };
my
$having
=
delete
$our_attrs
->{having};
my
$attrs
= {};
$attrs
=
pop
(
@_
)
if
@_
> 1 and
ref
$_
[
$#_
] eq
'HASH'
;
# merge new attrs into old
foreach
my
$key
(
qw/join prefetch/
) {
next
unless
(
exists
$attrs
->{
$key
});
if
(
exists
$our_attrs
->{
$key
}) {
$our_attrs
->{
$key
} =
$self
->_merge_attr(
$our_attrs
->{
$key
},
$attrs
->{
$key
});
}
else
{
$our_attrs
->{
$key
} =
$attrs
->{
$key
};
}
delete
$attrs
->{
$key
};
}
if
(
exists
$our_attrs
->{prefetch}) {
$our_attrs
->{
join
} =
$self
->_merge_attr(
$our_attrs
->{
join
},
$our_attrs
->{prefetch}, 1);
}
my
$new_attrs
= { %{
$our_attrs
}, %{
$attrs
} };
# merge new where and having into old
my
$where
= (
@_
? ((
@_
== 1 ||
ref
$_
[0] eq
"HASH"
)
?
shift
: ((
@_
% 2)
?
$self
->throw_exception(
"Odd number of arguments to search"
)
: {
@_
}))
:
undef
());
if
(
defined
$where
) {
$new_attrs
->{where} = (
defined
$new_attrs
->{where}
? {
'-and'
=>
[
map
{
ref
$_
eq
'ARRAY'
? [
-or
=>
$_
] :
$_
}
$where
,
$new_attrs
->{where} ] }
:
$where
);
}
if
(
defined
$having
) {
$new_attrs
->{having} = (
defined
$new_attrs
->{having}
? {
'-and'
=>
[
map
{
ref
$_
eq
'ARRAY'
? [
-or
=>
$_
] :
$_
}
$having
,
$new_attrs
->{having} ] }
:
$having
);
}
my
$rs
= (
ref
$self
)->new(
$self
->result_source,
$new_attrs
);
$rs
->{_parent_rs} =
$self
->{_parent_rs}
if
(
$self
->{_parent_rs});
#XXX - hack to pass through parent of related resultsets
unless
(
@_
) {
# no search, effectively just a clone
my
$rows
=
$self
->get_cache;
if
(
$rows
) {
$rs
->set_cache(
$rows
);
}
}
return
$rs
;
}
=head2 search_literal
=over 4
=item Arguments: $sql_fragment, @bind_values
=item Return Value: $resultset (scalar context), @row_objs (list context)
=back
my @cds = $cd_rs->search_literal('year = ? AND title = ?', qw/2001 Reload/);
my $newrs = $artist_rs->search_literal('name = ?', 'Metallica');
Pass a literal chunk of SQL to be added to the conditional part of the
resultset query.
=cut
sub
search_literal {
my
(
$self
,
$cond
,
@vals
) =
@_
;
my
$attrs
= (
ref
$vals
[
$#vals
] eq
'HASH'
? { %{
pop
(
@vals
) } } : {});
$attrs
->{
bind
} = [ @{
$self
->{attrs}{
bind
}||[]},
@vals
];
return
$self
->search(\
$cond
,
$attrs
);
}
=head2 find
=over 4
=item Arguments: @values | \%cols, \%attrs?
=item Return Value: $row_object
=back
Finds a row based on its primary key or unique constraint. For example, to find
a row by its primary key:
my $cd = $schema->resultset('CD')->find(5);
You can also find a row by a specific unique constraint using the C<key>
attribute. For example:
my $cd = $schema->resultset('CD')->find('Massive Attack', 'Mezzanine', { key => 'cd_artist_title' });
Additionally, you can specify the columns explicitly by name:
my $cd = $schema->resultset('CD')->find(
{
artist => 'Massive Attack',
title => 'Mezzanine',
},
{ key => 'cd_artist_title' }
);
If the C<key> is specified as C<primary>, it searches only on the primary key.
If no C<key> is specified, it searches on all unique constraints defined on the
source, including the primary key.
See also L</find_or_create> and L</update_or_create>. For information on how to
declare unique constraints, see
L<DBIx::Class::ResultSource/add_unique_constraint>.
=cut
sub
find {
my
$self
=
shift
;
my
$attrs
= (
@_
> 1 &&
ref
$_
[
$#_
] eq
'HASH'
?
pop
(
@_
) : {});
# Default to the primary key, but allow a specific key
my
@cols
=
exists
$attrs
->{key}
?
$self
->result_source->unique_constraint_columns(
$attrs
->{key})
:
$self
->result_source->primary_columns;
$self
->throw_exception(
"Can't find unless a primary key or unique constraint is defined"
)
unless
@cols
;
# Parse out a hashref from input
my
$input_query
;
if
(
ref
$_
[0] eq
'HASH'
) {
$input_query
= { %{
$_
[0]} };
}
elsif
(
@_
==
@cols
) {
$input_query
= {};
@{
$input_query
}{
@cols
} =
@_
;
}
else
{
# Compatibility: Allow e.g. find(id => $value)
carp
"Find by key => value deprecated; please use a hashref instead"
;
$input_query
= {
@_
};
}
my
@unique_queries
=
$self
->_unique_queries(
$input_query
,
$attrs
);
# use Data::Dumper; warn Dumper $self->result_source->name, $input_query, \@unique_queries, $self->{attrs}->{where};
# Handle cases where the ResultSet defines the query, or where the user is
# abusing find
my
$query
=
@unique_queries
? \
@unique_queries
:
$input_query
;
# Run the query
if
(
keys
%$attrs
) {
my
$rs
=
$self
->search(
$query
,
$attrs
);
$rs
->_resolve;
return
keys
%{
$rs
->{_attrs}->{collapse}} ?
$rs
->
next
:
$rs
->single;
}
else
{
$self
->_resolve;
return
(
keys
%{
$self
->{_attrs}->{collapse}})
?
$self
->search(
$query
)->
next
:
$self
->single(
$query
);
}
}
# _unique_queries
#
# Build a list of queries which satisfy unique constraints.
sub
_unique_queries {
my
(
$self
,
$query
,
$attrs
) =
@_
;
my
@constraint_names
=
exists
$attrs
->{key}
? (
$attrs
->{key})
:
$self
->result_source->unique_constraint_names;
my
@unique_queries
;
foreach
my
$name
(
@constraint_names
) {
my
@unique_cols
=
$self
->result_source->unique_constraint_columns(
$name
);
my
$unique_query
=
$self
->_build_unique_query(
$query
, \
@unique_cols
);
next
unless
scalar
keys
%$unique_query
;
# Add the ResultSet's alias
foreach
my
$key
(
grep
{ ! m/\./ }
keys
%$unique_query
) {
$unique_query
->{
"$self->{attrs}->{alias}.$key"
} =
delete
$unique_query
->{
$key
};
}
push
@unique_queries
,
$unique_query
;
}
return
@unique_queries
;
}
# _build_unique_query
#
# Constrain the specified query hash based on the specified column names.
sub
_build_unique_query {
my
(
$self
,
$query
,
$unique_cols
) =
@_
;
my
%unique_query
=
map
{
$_
=>
$query
->{
$_
} }
grep
{
exists
$query
->{
$_
} }
@$unique_cols
;
return
\
%unique_query
;
}
=head2 search_related
=over 4
=item Arguments: $cond, \%attrs?
=item Return Value: $new_resultset
=back
$new_rs = $cd_rs->search_related('artist', {
name => 'Emo-R-Us',
});
Searches the specified relationship, optionally specifying a condition and
attributes for matching records. See L</ATTRIBUTES> for more information.
=cut
sub
search_related {
return
shift
->related_resultset(
shift
)->search(
@_
);
}
=head2 cursor
=over 4
=item Arguments: none
=item Return Value: $cursor
=back
Returns a storage-driven cursor to the given resultset. See
L<DBIx::Class::Cursor> for more information.
=cut
sub
cursor {
my
(
$self
) =
@_
;
$self
->_resolve;
my
$attrs
= { %{
$self
->{_attrs}} };
return
$self
->{cursor}
||=
$self
->result_source->storage->
select
(
$attrs
->{from},
$attrs
->{
select
},
$attrs
->{where},
$attrs
);
}
=head2 single
=over 4
=item Arguments: $cond?
=item Return Value: $row_object?
=back
my $cd = $schema->resultset('CD')->single({ year => 2001 });
Inflates the first result without creating a cursor if the resultset has
any records in it; if not returns nothing. Used by L</find> as an optimisation.
Can optionally take an additional condition *only* - this is a fast-code-path
method; if you need to add extra joins or similar call ->search and then
->single without a condition on the $rs returned from that.
=cut
sub
single {
my
(
$self
,
$where
) =
@_
;
$self
->_resolve;
my
$attrs
= { %{
$self
->{_attrs}} };
if
(
$where
) {
if
(
defined
$attrs
->{where}) {
$attrs
->{where} = {
'-and'
=>
[
map
{
ref
$_
eq
'ARRAY'
? [
-or
=>
$_
] :
$_
}
$where
,
delete
$attrs
->{where} ]
};
}
else
{
$attrs
->{where} =
$where
;
}
}
unless
(
$self
->_is_unique_query(
$attrs
->{where})) {
carp
"Query not guarnteed to return a single row"
.
"; please declare your unique constraints or use search instead"
;
}
my
@data
=
$self
->result_source->storage->select_single(
$attrs
->{from},
$attrs
->{
select
},
$attrs
->{where},
$attrs
);
return
(
@data
?
$self
->_construct_object(
@data
) : ());
}
# _is_unique_query
#
# Try to determine if the specified query is guaranteed to be unique, based on
# the declared unique constraints.
sub
_is_unique_query {
my
(
$self
,
$query
) =
@_
;
my
$collapsed
=
$self
->_collapse_query(
$query
);
# use Data::Dumper; warn Dumper $query, $collapsed;
foreach
my
$name
(
$self
->result_source->unique_constraint_names) {
my
@unique_cols
=
map
{
"$self->{attrs}->{alias}.$_"
}
$self
->result_source->unique_constraint_columns(
$name
);
# Count the values for each unique column
my
%seen
=
map
{
$_
=> 0 }
@unique_cols
;
foreach
my
$key
(
keys
%$collapsed
) {
my
$aliased
=
$key
;
$aliased
=
"$self->{attrs}->{alias}.$key"
unless
$key
=~ /\./;
next
unless
exists
$seen
{
$aliased
};
# Additional constraints are okay
$seen
{
$aliased
} =
scalar
@{
$collapsed
->{
$key
} };
}
# If we get 0 or more than 1 value for a column, it's not necessarily unique
return
1
unless
grep
{
$_
!= 1 }
values
%seen
;
}
return
0;
}
# _collapse_query
#
# Recursively collapse the query, accumulating values for each column.
sub
_collapse_query {
my
(
$self
,
$query
,
$collapsed
) =
@_
;
$collapsed
||= {};
if
(
ref
$query
eq
'ARRAY'
) {
foreach
my
$subquery
(
@$query
) {
next
unless
ref
$subquery
;
# -or
# warn "ARRAY: " . Dumper $subquery;
$collapsed
=
$self
->_collapse_query(
$subquery
,
$collapsed
);
}
}
elsif
(
ref
$query
eq
'HASH'
) {
if
(
keys
%$query
and (
keys
%$query
)[0] eq
'-and'
) {
foreach
my
$subquery
(@{
$query
->{-and}}) {
# warn "HASH: " . Dumper $subquery;
$collapsed
=
$self
->_collapse_query(
$subquery
,
$collapsed
);
}
}
else
{
# warn "LEAF: " . Dumper $query;
foreach
my
$key
(
keys
%$query
) {
push
@{
$collapsed
->{
$key
}},
$query
->{
$key
};
}
}
}
return
$collapsed
;
}
=head2 get_column
=over 4
=item Arguments: $cond?
=item Return Value: $resultsetcolumn
=back
my $max_length = $rs->get_column('length')->max;
Returns a ResultSetColumn instance for $column based on $self
=cut
sub
get_column {
my
(
$self
,
$column
) =
@_
;
my
$new
= DBIx::Class::ResultSetColumn->new(
$self
,
$column
);
return
$new
;
}
=head2 search_like
=over 4
=item Arguments: $cond, \%attrs?
=item Return Value: $resultset (scalar context), @row_objs (list context)
=back
# WHERE title LIKE '%blue%'
$cd_rs = $rs->search_like({ title => '%blue%'});
Performs a search, but uses C<LIKE> instead of C<=> as the condition. Note
that this is simply a convenience method. You most likely want to use
L</search> with specific operators.
For more information, see L<DBIx::Class::Manual::Cookbook>.
=cut
sub
search_like {
my
$class
=
shift
;
my
$attrs
= (
@_
> 1 &&
ref
$_
[
$#_
] eq
'HASH'
?
pop
(
@_
) : {});
my
$query
=
ref
$_
[0] eq
'HASH'
? { %{
shift
()} }: {
@_
};
$query
->{
$_
} = {
'like'
=>
$query
->{
$_
} }
for
keys
%$query
;
return
$class
->search(
$query
, {
%$attrs
});
}
=head2 slice
=over 4
=item Arguments: $first, $last
=item Return Value: $resultset (scalar context), @row_objs (list context)
=back
Returns a resultset or object list representing a subset of elements from the
resultset slice is called on. Indexes are from 0, i.e., to get the first
three records, call:
my ($one, $two, $three) = $rs->slice(0, 2);
=cut
sub
slice {
my
(
$self
,
$min
,
$max
) =
@_
;
my
$attrs
= {};
# = { %{ $self->{attrs} || {} } };
$attrs
->{offset} =
$self
->{attrs}{offset} || 0;
$attrs
->{offset} +=
$min
;
$attrs
->{rows} = (
$max
? (
$max
-
$min
+ 1) : 1);
return
$self
->search(
undef
(),
$attrs
);
#my $slice = (ref $self)->new($self->result_source, $attrs);
#return (wantarray ? $slice->all : $slice);
}
=head2 next
=over 4
=item Arguments: none
=item Return Value: $result?
=back
Returns the next element in the resultset (C<undef> is there is none).
Can be used to efficiently iterate over records in the resultset:
my $rs = $schema->resultset('CD')->search;
while (my $cd = $rs->next) {
print $cd->title;
}
Note that you need to store the resultset object, and call C<next> on it.
Calling C<< resultset('Table')->next >> repeatedly will always return the
first record from the resultset.
=cut
sub
next
{
my
(
$self
) =
@_
;
if
(
my
$cache
=
$self
->get_cache) {
$self
->{all_cache_position} ||= 0;
return
$cache
->[
$self
->{all_cache_position}++];
}
if
(
$self
->{attrs}{cache}) {
$self
->{all_cache_position} = 1;
return
(
$self
->all)[0];
}
my
@row
= (
exists
$self
->{stashed_row} ?
@{
delete
$self
->{stashed_row}} :
$self
->cursor->
next
);
return
unless
(
@row
);
return
$self
->_construct_object(
@row
);
}
sub
_resolve {
my
$self
=
shift
;
return
if
(
exists
$self
->{_attrs});
#return if _resolve has already been called
my
$attrs
=
$self
->{attrs};
my
$source
= (
$self
->{_parent_rs}) ?
$self
->{_parent_rs} :
$self
->{result_source};
# XXX - lose storable dclone
my
$record_filter
=
delete
$attrs
->{record_filter}
if
(
defined
$attrs
->{record_filter});
$attrs
= Storable::dclone(
$attrs
|| {});
# { %{ $attrs || {} } };
$attrs
->{record_filter} =
$record_filter
if
(
$record_filter
);
$self
->{attrs}->{record_filter} =
$record_filter
if
(
$record_filter
);
my
$alias
=
$attrs
->{alias};
$attrs
->{columns} ||=
delete
$attrs
->{cols}
if
$attrs
->{cols};
delete
$attrs
->{as}
if
$attrs
->{columns};
$attrs
->{columns} ||= [
$self
->{result_source}->columns ]
unless
$attrs
->{
select
};
my
$select_alias
= (
$self
->{_parent_rs}) ?
$self
->{attrs}->{_live_join} :
$alias
;
$attrs
->{
select
} = [
map
{ m/\./ ?
$_
:
"${select_alias}.$_"
} @{
delete
$attrs
->{columns}}
]
if
$attrs
->{columns};
$attrs
->{as} ||= [
map
{ m/^\Q
$alias
.\E(.+)$/ ? $1 :
$_
} @{
$attrs
->{
select
}}
];
if
(
my
$include
=
delete
$attrs
->{include_columns}) {
push
(@{
$attrs
->{
select
}},
@$include
);
push
(@{
$attrs
->{as}},
map
{ m/([^.]+)$/; $1; }
@$include
);
}
$attrs
->{from} ||= [ {
$alias
=>
$source
->from } ];
$attrs
->{seen_join} ||= {};
my
%seen
;
if
(
my
$join
=
delete
$attrs
->{
join
}) {
foreach
my
$j
(
ref
$join
eq
'ARRAY'
?
@$join
: (
$join
)) {
if
(
ref
$j
eq
'HASH'
) {
$seen
{
$_
} = 1
foreach
keys
%$j
;
}
else
{
$seen
{
$j
} = 1;
}
}
push
(@{
$attrs
->{from}},
$source
->resolve_join(
$join
,
$attrs
->{alias},
$attrs
->{seen_join}));
}
$attrs
->{group_by} ||=
$attrs
->{
select
}
if
delete
$attrs
->{distinct};
$attrs
->{order_by} = [
$attrs
->{order_by} ]
if
$attrs
->{order_by} and !
ref
(
$attrs
->{order_by});
$attrs
->{order_by} ||= [];
if
(
my
$seladds
=
delete
(
$attrs
->{
'+select'
})) {
my
@seladds
= (
ref
(
$seladds
) eq
'ARRAY'
?
@$seladds
: (
$seladds
));
$attrs
->{
select
} = [
@{
$attrs
->{
select
} },
map
{ (m/\./ ||
ref
(
$_
)) ?
$_
:
"${alias}.$_"
}
$seladds
];
}
if
(
my
$asadds
=
delete
(
$attrs
->{
'+as'
})) {
my
@asadds
= (
ref
(
$asadds
) eq
'ARRAY'
?
@$asadds
: (
$asadds
));
$attrs
->{as} = [ @{
$attrs
->{as} },
@asadds
];
}
my
$collapse
=
$attrs
->{collapse} || {};
if
(
my
$prefetch
=
delete
$attrs
->{prefetch}) {
my
@pre_order
;
foreach
my
$p
(
ref
$prefetch
eq
'ARRAY'
?
@$prefetch
: (
$prefetch
)) {
if
(
ref
$p
eq
'HASH'
) {
foreach
my
$key
(
keys
%$p
) {
push
(@{
$attrs
->{from}},
$source
->resolve_join(
$p
,
$attrs
->{alias}))
unless
$seen
{
$key
};
}
}
else
{
push
(@{
$attrs
->{from}},
$source
->resolve_join(
$p
,
$attrs
->{alias}))
unless
$seen
{
$p
};
}
my
@prefetch
=
$source
->resolve_prefetch(
$p
,
$attrs
->{alias}, {}, \
@pre_order
,
$collapse
);
push
(@{
$attrs
->{
select
}},
map
{
$_
->[0] }
@prefetch
);
push
(@{
$attrs
->{as}},
map
{
$_
->[1] }
@prefetch
);
}
push
(@{
$attrs
->{order_by}},
@pre_order
);
}
$attrs
->{collapse} =
$collapse
;
$self
->{_attrs} =
$attrs
;
}
sub
_merge_attr {
my
(
$self
,
$a
,
$b
,
$is_prefetch
) =
@_
;
return
$b
unless
$a
;
if
(
ref
$b
eq
'HASH'
&&
ref
$a
eq
'HASH'
) {
foreach
my
$key
(
keys
%{
$b
}) {
if
(
exists
$a
->{
$key
}) {
$a
->{
$key
} =
$self
->_merge_attr(
$a
->{
$key
},
$b
->{
$key
},
$is_prefetch
);
}
else
{
$a
->{
$key
} =
delete
$b
->{
$key
};
}
}
return
$a
;
}
else
{
$a
= [
$a
]
unless
(
ref
$a
eq
'ARRAY'
);
$b
= [
$b
]
unless
(
ref
$b
eq
'ARRAY'
);
my
$hash
= {};
my
$array
= [];
foreach
(
$a
,
$b
) {
foreach
my
$element
(@{
$_
}) {
if
(
ref
$element
eq
'HASH'
) {
$hash
=
$self
->_merge_attr(
$hash
,
$element
,
$is_prefetch
);
}
elsif
(
ref
$element
eq
'ARRAY'
) {
$array
= [@{
$array
}, @{
$element
}];
}
else
{
if
((
$b
==
$_
) &&
$is_prefetch
) {
$self
->_merge_array(
$array
,
$element
,
$is_prefetch
);
}
else
{
push
(@{
$array
},
$element
);
}
}
}
}
if
((
keys
%{
$hash
}) && (
scalar
(@{
$array
} > 0))) {
return
[
$hash
, @{
$array
}];
}
else
{
return
(
keys
%{
$hash
}) ?
$hash
:
$array
;
}
}
}
sub
_merge_array {
my
(
$self
,
$a
,
$b
) =
@_
;
$b
= [
$b
]
unless
(
ref
$b
eq
'ARRAY'
);
# add elements from @{$b} to @{$a} which aren't already in @{$a}
foreach
my
$b_element
(@{
$b
}) {
push
(@{
$a
},
$b_element
)
unless
grep
{
$b_element
eq
$_
} @{
$a
};
}
}
sub
_construct_object {
my
(
$self
,
@row
) =
@_
;
my
@as
= @{
$self
->{_attrs}{as} };
my
$info
=
$self
->_collapse_result(\
@as
, \
@row
);
my
$new
=
$self
->result_class->inflate_result(
$self
->result_source,
@$info
);
$new
=
$self
->{_attrs}{record_filter}->(
$new
)
if
exists
$self
->{_attrs}{record_filter};
return
$new
;
}
sub
_collapse_result {
my
(
$self
,
$as
,
$row
,
$prefix
) =
@_
;
my
$live_join
=
$self
->{attrs}->{_live_join} ||=
""
;
my
%const
;
my
@copy
=
@$row
;
foreach
my
$this_as
(
@$as
) {
my
$val
=
shift
@copy
;
if
(
defined
$prefix
) {
if
(
$this_as
=~ m/^\Q${prefix}.\E(.+)$/) {
my
$remain
= $1;
$remain
=~ /^(?:(.*)\.)?([^.]+)$/;
$const
{$1||
''
}{$2} =
$val
;
}
}
else
{
$this_as
=~ /^(?:(.*)\.)?([^.]+)$/;
$const
{$1||
''
}{$2} =
$val
;
}
}
my
$info
= [ {}, {} ];
foreach
my
$key
(
keys
%const
) {
if
(
length
$key
&&
$key
ne
$live_join
) {
my
$target
=
$info
;
my
@parts
=
split
(/\./,
$key
);
foreach
my
$p
(
@parts
) {
$target
=
$target
->[1]->{
$p
} ||= [];
}
$target
->[0] =
$const
{
$key
};
}
else
{
$info
->[0] =
$const
{
$key
};
}
}
my
@collapse
;
if
(
defined
$prefix
) {
@collapse
=
map
{
m/^\Q${prefix}.\E(.+)$/ ? ($1) : ()
}
keys
%{
$self
->{_attrs}->{collapse}}
}
else
{
@collapse
=
keys
%{
$self
->{_attrs}->{collapse}};
};
if
(
@collapse
) {
my
(
$c
) =
sort
{
length
$a
<=>
length
$b
}
@collapse
;
my
$target
=
$info
;
foreach
my
$p
(
split
(/\./,
$c
)) {
$target
=
$target
->[1]->{
$p
} ||= [];
}
my
$c_prefix
= (
defined
(
$prefix
) ?
"${prefix}.${c}"
:
$c
);
my
@co_key
= @{
$self
->{_attrs}->{collapse}{
$c_prefix
}};
my
%co_check
=
map
{ (
$_
,
$target
->[0]->{
$_
}); }
@co_key
;
my
$tree
=
$self
->_collapse_result(
$as
,
$row
,
$c_prefix
);
my
(
@final
,
@raw
);
while
( !(
grep
{
!
defined
(
$tree
->[0]->{
$_
}) ||
$co_check
{
$_
} ne
$tree
->[0]->{
$_
}
}
@co_key
) ) {
push
(
@final
,
$tree
);
last
unless
(
@raw
=
$self
->cursor->
next
);
$row
=
$self
->{stashed_row} = \
@raw
;
$tree
=
$self
->_collapse_result(
$as
,
$row
,
$c_prefix
);
}
@$target
= (
@final
?
@final
: [ {}, {} ]);
# single empty result to indicate an empty prefetched has_many
}
return
$info
;
}
=head2 result_source
=over 4
=item Arguments: $result_source?
=item Return Value: $result_source
=back
An accessor for the primary ResultSource object from which this ResultSet
is derived.
=cut
=head2 count
=over 4
=item Arguments: $cond, \%attrs??
=item Return Value: $count
=back
Performs an SQL C<COUNT> with the same query as the resultset was built
with to find the number of elements. If passed arguments, does a search
on the resultset and counts the results of that.
Note: When using C<count> with C<group_by>, L<DBIX::Class> emulates C<GROUP BY>
using C<COUNT( DISTINCT( columns ) )>. Some databases (notably SQLite) do
not support C<DISTINCT> with multiple columns. If you are using such a
database, you should only use columns from the main table in your C<group_by>
clause.
=cut
sub
count {
my
$self
=
shift
;
return
$self
->search(
@_
)->count
if
@_
and
defined
$_
[0];
return
scalar
@{
$self
->get_cache }
if
$self
->get_cache;
my
$count
=
$self
->_count;
return
0
unless
$count
;
$count
-=
$self
->{attrs}{offset}
if
$self
->{attrs}{offset};
$count
=
$self
->{attrs}{rows}
if
$self
->{attrs}{rows} and
$self
->{attrs}{rows} <
$count
;
return
$count
;
}
sub
_count {
# Separated out so pager can get the full count
my
$self
=
shift
;
my
$select
= {
count
=>
'*'
};
$self
->_resolve;
my
$attrs
= { %{
$self
->{_attrs} } };
if
(
my
$group_by
=
delete
$attrs
->{group_by}) {
delete
$attrs
->{having};
my
@distinct
= (
ref
$group_by
?
@$group_by
: (
$group_by
));
# todo: try CONCAT for multi-column pk
my
@pk
=
$self
->result_source->primary_columns;
if
(
@pk
== 1) {
foreach
my
$column
(
@distinct
) {
if
(
$column
=~
qr/^(?:\Q$attrs->{alias}.\E)?$pk[0]$/
) {
@distinct
= (
$column
);
last
;
}
}
}
$select
= {
count
=> {
distinct
=> \
@distinct
} };
}
$attrs
->{
select
} =
$select
;
$attrs
->{as} = [
qw/count/
];
# offset, order by and page are not needed to count. record_filter is cdbi
delete
$attrs
->{
$_
}
for
qw/rows offset order_by page pager record_filter/
;
my
(
$count
) = (
ref
$self
)->new(
$self
->result_source,
$attrs
)->cursor->
next
;
return
$count
;
}
=head2 count_literal
=over 4
=item Arguments: $sql_fragment, @bind_values
=item Return Value: $count
=back
Counts the results in a literal query. Equivalent to calling L</search_literal>
with the passed arguments, then L</count>.
=cut
sub
count_literal {
shift
->search_literal(
@_
)->count; }
=head2 all
=over 4
=item Arguments: none
=item Return Value: @objects
=back
Returns all elements in the resultset. Called implicitly if the resultset
is returned in list context.
=cut
sub
all {
my
(
$self
) =
@_
;
return
@{
$self
->get_cache }
if
$self
->get_cache;
my
@obj
;
# TODO: don't call resolve here
$self
->_resolve;
if
(
keys
%{
$self
->{_attrs}->{collapse}}) {
# if ($self->{attrs}->{prefetch}) {
# Using $self->cursor->all is really just an optimisation.
# If we're collapsing has_many prefetches it probably makes
# very little difference, and this is cleaner than hacking
# _construct_object to survive the approach
my
@row
=
$self
->cursor->
next
;
while
(
@row
) {
push
(
@obj
,
$self
->_construct_object(
@row
));
@row
= (
exists
$self
->{stashed_row}
? @{
delete
$self
->{stashed_row}}
:
$self
->cursor->
next
);
}
}
else
{
@obj
=
map
{
$self
->_construct_object(
@$_
) }
$self
->cursor->all;
}
$self
->set_cache(\
@obj
)
if
$self
->{attrs}{cache};
return
@obj
;
}
=head2 reset
=over 4
=item Arguments: none
=item Return Value: $self
=back
Resets the resultset's cursor, so you can iterate through the elements again.
=cut
sub
reset
{
my
(
$self
) =
@_
;
delete
$self
->{_attrs}
if
(
exists
$self
->{_attrs});
$self
->{all_cache_position} = 0;
$self
->cursor->
reset
;
return
$self
;
}
=head2 first
=over 4
=item Arguments: none
=item Return Value: $object?
=back
Resets the resultset and returns an object for the first result (if the
resultset returns anything).
=cut
sub
first {
return
$_
[0]->
reset
->
next
;
}
# _cond_for_update_delete
#
# update/delete require the condition to be modified to handle
# the differing SQL syntax available. This transforms the $self->{cond}
# appropriately, returning the new condition.
sub
_cond_for_update_delete {
my
(
$self
) =
@_
;
my
$cond
= {};
if
(!
ref
(
$self
->{cond})) {
# No-op. No condition, we're updating/deleting everything
}
elsif
(
ref
$self
->{cond} eq
'ARRAY'
) {
$cond
= [
map
{
my
%hash
;
foreach
my
$key
(
keys
%{
$_
}) {
$key
=~ /([^.]+)$/;
$hash
{$1} =
$_
->{
$key
};
}
\
%hash
;
} @{
$self
->{cond}}
];
}
elsif
(
ref
$self
->{cond} eq
'HASH'
) {
if
((
keys
%{
$self
->{cond}})[0] eq
'-and'
) {
$cond
->{-and} = [];
my
@cond
= @{
$self
->{cond}{-and}};
for
(
my
$i
= 0;
$i
<=
@cond
- 1;
$i
++) {
my
$entry
=
$cond
[
$i
];
my
%hash
;
if
(
ref
$entry
eq
'HASH'
) {
foreach
my
$key
(
keys
%{
$entry
}) {
$key
=~ /([^.]+)$/;
$hash
{$1} =
$entry
->{
$key
};
}
}
else
{
$entry
=~ /([^.]+)$/;
$hash
{$1} =
$cond
[++
$i
];
}
push
@{
$cond
->{-and}}, \
%hash
;
}
}
else
{
foreach
my
$key
(
keys
%{
$self
->{cond}}) {
$key
=~ /([^.]+)$/;
$cond
->{$1} =
$self
->{cond}{
$key
};
}
}
}
else
{
$self
->throw_exception(
"Can't update/delete on resultset with condition unless hash or array"
);
}
return
$cond
;
}
=head2 update
=over 4
=item Arguments: \%values
=item Return Value: $storage_rv
=back
Sets the specified columns in the resultset to the supplied values in a
single query. Return value will be true if the update succeeded or false
if no records were updated; exact type of success value is storage-dependent.
=cut
sub
update {
my
(
$self
,
$values
) =
@_
;
$self
->throw_exception(
"Values for update must be a hash"
)
unless
ref
$values
eq
'HASH'
;
my
$cond
=
$self
->_cond_for_update_delete;
return
$self
->result_source->storage->update(
$self
->result_source->from,
$values
,
$cond
);
}
=head2 update_all
=over 4
=item Arguments: \%values
=item Return Value: 1
=back
Fetches all objects and updates them one at a time. Note that C<update_all>
will run DBIC cascade triggers, while L</update> will not.
=cut
sub
update_all {
my
(
$self
,
$values
) =
@_
;
$self
->throw_exception(
"Values for update must be a hash"
)
unless
ref
$values
eq
'HASH'
;
foreach
my
$obj
(
$self
->all) {
$obj
->set_columns(
$values
)->update;
}
return
1;
}
=head2 delete
=over 4
=item Arguments: none
=item Return Value: 1
=back
Deletes the contents of the resultset from its result source. Note that this
will not run DBIC cascade triggers. See L</delete_all> if you need triggers
to run.
=cut
sub
delete
{
my
(
$self
) =
@_
;
my
$del
= {};
my
$cond
=
$self
->_cond_for_update_delete;
$self
->result_source->storage->
delete
(
$self
->result_source->from,
$cond
);
return
1;
}
=head2 delete_all
=over 4
=item Arguments: none
=item Return Value: 1
=back
Fetches all objects and deletes them one at a time. Note that C<delete_all>
will run DBIC cascade triggers, while L</delete> will not.
=cut
sub
delete_all {
my
(
$self
) =
@_
;
$_
->
delete
for
$self
->all;
return
1;
}
=head2 pager
=over 4
=item Arguments: none
=item Return Value: $pager
=back
Return Value a L<Data::Page> object for the current resultset. Only makes
sense for queries with a C<page> attribute.
=cut
sub
pager {
my
(
$self
) =
@_
;
my
$attrs
=
$self
->{attrs};
$self
->throw_exception(
"Can't create pager for non-paged rs"
)
unless
$self
->{page};
$attrs
->{rows} ||= 10;
return
$self
->{pager} ||= Data::Page->new(
$self
->_count,
$attrs
->{rows},
$self
->{page});
}
=head2 page
=over 4
=item Arguments: $page_number
=item Return Value: $rs
=back
Returns a resultset for the $page_number page of the resultset on which page
is called, where each page contains a number of rows equal to the 'rows'
attribute set on the resultset (10 by default).
=cut
sub
page {
my
(
$self
,
$page
) =
@_
;
my
$attrs
= { %{
$self
->{attrs}} };
$attrs
->{page} =
$page
;
return
(
ref
$self
)->new(
$self
->result_source,
$attrs
);
}
=head2 new_result
=over 4
=item Arguments: \%vals
=item Return Value: $object
=back
Creates an object in the resultset's result class and returns it.
=cut
sub
new_result {
my
(
$self
,
$values
) =
@_
;
$self
->throw_exception(
"new_result needs a hash"
)
unless
(
ref
$values
eq
'HASH'
);
$self
->throw_exception(
"Can't abstract implicit construct, condition not a hash"
)
if
(
$self
->{cond} && !(
ref
$self
->{cond} eq
'HASH'
));
my
%new
=
%$values
;
my
$alias
=
$self
->{attrs}{alias};
foreach
my
$key
(
keys
%{
$self
->{cond}||{}}) {
$new
{$1} =
$self
->{cond}{
$key
}
if
(
$key
=~ m/^(?:\Q${alias}.\E)?([^.]+)$/);
}
my
$obj
=
$self
->result_class->new(\
%new
);
$obj
->result_source(
$self
->result_source)
if
$obj
->can(
'result_source'
);
return
$obj
;
}
=head2 find_or_new
=over 4
=item Arguments: \%vals, \%attrs?
=item Return Value: $object
=back
Find an existing record from this resultset. If none exists, instantiate a new
result object and return it. The object will not be saved into your storage
until you call L<DBIx::Class::Row/insert> on it.
If you want objects to be saved immediately, use L</find_or_create> instead.
=cut
sub
find_or_new {
my
$self
=
shift
;
my
$attrs
= (
@_
> 1 &&
ref
$_
[
$#_
] eq
'HASH'
?
pop
(
@_
) : {});
my
$hash
=
ref
$_
[0] eq
'HASH'
?
shift
: {
@_
};
my
$exists
=
$self
->find(
$hash
,
$attrs
);
return
defined
$exists
?
$exists
:
$self
->new_result(
$hash
);
}
=head2 create
=over 4
=item Arguments: \%vals
=item Return Value: $object
=back
Inserts a record into the resultset and returns the object representing it.
Effectively a shortcut for C<< ->new_result(\%vals)->insert >>.
=cut
sub
create {
my
(
$self
,
$attrs
) =
@_
;
$self
->throw_exception(
"create needs a hashref"
)
unless
ref
$attrs
eq
'HASH'
;
return
$self
->new_result(
$attrs
)->insert;
}
=head2 find_or_create
=over 4
=item Arguments: \%vals, \%attrs?
=item Return Value: $object
=back
$class->find_or_create({ key => $val, ... });
Tries to find a record based on its primary key or unique constraint; if none
is found, creates one and returns that instead.
my $cd = $schema->resultset('CD')->find_or_create({
cdid => 5,
artist => 'Massive Attack',
title => 'Mezzanine',
year => 2005,
});
Also takes an optional C<key> attribute, to search by a specific key or unique
constraint. For example:
my $cd = $schema->resultset('CD')->find_or_create(
{
artist => 'Massive Attack',
title => 'Mezzanine',
},
{ key => 'cd_artist_title' }
);
See also L</find> and L</update_or_create>. For information on how to declare
unique constraints, see L<DBIx::Class::ResultSource/add_unique_constraint>.
=cut
sub
find_or_create {
my
$self
=
shift
;
my
$attrs
= (
@_
> 1 &&
ref
$_
[
$#_
] eq
'HASH'
?
pop
(
@_
) : {});
my
$hash
=
ref
$_
[0] eq
'HASH'
?
shift
: {
@_
};
my
$exists
=
$self
->find(
$hash
,
$attrs
);
return
defined
$exists
?
$exists
:
$self
->create(
$hash
);
}
=head2 update_or_create
=over 4
=item Arguments: \%col_values, { key => $unique_constraint }?
=item Return Value: $object
=back
$class->update_or_create({ col => $val, ... });
First, searches for an existing row matching one of the unique constraints
(including the primary key) on the source of this resultset. If a row is
found, updates it with the other given column values. Otherwise, creates a new
row.
Takes an optional C<key> attribute to search on a specific unique constraint.
For example:
# In your application
my $cd = $schema->resultset('CD')->update_or_create(
{
artist => 'Massive Attack',
title => 'Mezzanine',
year => 1998,
},
{ key => 'cd_artist_title' }
);
If no C<key> is specified, it searches on all unique constraints defined on the
source, including the primary key.
If the C<key> is specified as C<primary>, it searches only on the primary key.
See also L</find> and L</find_or_create>. For information on how to declare
unique constraints, see L<DBIx::Class::ResultSource/add_unique_constraint>.
=cut
sub
update_or_create {
my
$self
=
shift
;
my
$attrs
= (
@_
> 1 &&
ref
$_
[
$#_
] eq
'HASH'
?
pop
(
@_
) : {});
my
$cond
=
ref
$_
[0] eq
'HASH'
?
shift
: {
@_
};
my
$row
=
$self
->find(
$cond
);
if
(
defined
$row
) {
$row
->update(
$cond
);
return
$row
;
}
return
$self
->create(
$cond
);
}
=head2 get_cache
=over 4
=item Arguments: none
=item Return Value: \@cache_objects?
=back
Gets the contents of the cache for the resultset, if the cache is set.
=cut
sub
get_cache {
shift
->{all_cache};
}
=head2 set_cache
=over 4
=item Arguments: \@cache_objects
=item Return Value: \@cache_objects
=back
Sets the contents of the cache for the resultset. Expects an arrayref
of objects of the same class as those produced by the resultset. Note that
if the cache is set the resultset will return the cached objects rather
than re-querying the database even if the cache attr is not set.
=cut
sub
set_cache {
my
(
$self
,
$data
) =
@_
;
$self
->throw_exception(
"set_cache requires an arrayref"
)
if
defined
(
$data
) && (
ref
$data
ne
'ARRAY'
);
$self
->{all_cache} =
$data
;
}
=head2 clear_cache
=over 4
=item Arguments: none
=item Return Value: []
=back
Clears the cache for the resultset.
=cut
sub
clear_cache {
shift
->set_cache(
undef
);
}
=head2 related_resultset
=over 4
=item Arguments: $relationship_name
=item Return Value: $resultset
=back
Returns a related resultset for the supplied relationship name.
$artist_rs = $schema->resultset('CD')->related_resultset('Artist');
=cut
sub
related_resultset {
my
(
$self
,
$rel
) =
@_
;
$self
->{related_resultsets} ||= {};
return
$self
->{related_resultsets}{
$rel
} ||=
do
{
#warn "fetching related resultset for rel '$rel' " . $self->result_source->{name};
my
$rel_obj
=
$self
->result_source->relationship_info(
$rel
);
$self
->throw_exception(
"search_related: result source '"
.
$self
->result_source->name .
"' has no such relationship ${rel}"
)
unless
$rel_obj
;
#die Dumper $self->{attrs};
my
$rs
=
$self
->result_source->schema->resultset(
$rel_obj
->{class}
)->search(
undef
,
{ %{
$self
->{attrs}},
select
=>
undef
,
as
=>
undef
,
join
=>
$rel
,
_live_join
=>
$rel
}
);
# keep reference of the original resultset
$rs
->{_parent_rs} =
$self
->result_source;
return
$rs
;
};
}
=head2 throw_exception
See L<DBIx::Class::Schema/throw_exception> for details.
=cut
sub
throw_exception {
my
$self
=
shift
;
$self
->result_source->schema->throw_exception(
@_
);
}
# XXX: FIXME: Attributes docs need clearing up
=head1 ATTRIBUTES
The resultset takes various attributes that modify its behavior. Here's an
overview of them:
=head2 order_by
=over 4
=item Value: ($order_by | \@order_by)
=back
Which column(s) to order the results by. This is currently passed
through directly to SQL, so you can give e.g. C<year DESC> for a
descending order on the column `year'.
Please note that if you have quoting enabled (see
L<DBIx::Class::Storage/quote_char>) you will need to do C<\'year DESC' > to
specify an order. (The scalar ref causes it to be passed as raw sql to the DB,
so you will need to manually quote things as appropriate.)
=head2 columns
=over 4
=item Value: \@columns
=back
Shortcut to request a particular set of columns to be retrieved. Adds
C<me.> onto the start of any column without a C<.> in it and sets C<select>
from that, then auto-populates C<as> from C<select> as normal. (You may also
use the C<cols> attribute, as in earlier versions of DBIC.)
=head2 include_columns
=over 4
=item Value: \@columns
=back
Shortcut to include additional columns in the returned results - for example
$schema->resultset('CD')->search(undef, {
include_columns => ['artist.name'],
join => ['artist']
});
would return all CDs and include a 'name' column to the information
passed to object inflation
=head2 select
=over 4
=item Value: \@select_columns
=back
Indicates which columns should be selected from the storage. You can use
column names, or in the case of RDBMS back ends, function or stored procedure
names:
$rs = $schema->resultset('Employee')->search(undef, {
select => [
'name',
{ count => 'employeeid' },
{ sum => 'salary' }
]
});
When you use function/stored procedure names and do not supply an C<as>
attribute, the column names returned are storage-dependent. E.g. MySQL would
return a column named C<count(employeeid)> in the above example.
=head2 +select
=over 4
Indicates additional columns to be selected from storage. Works the same as
L<select> but adds columns to the selection.
=back
=head2 +as
=over 4
Indicates additional column names for those added via L<+select>.
=back
=head2 as
=over 4
=item Value: \@inflation_names
=back
Indicates column names for object inflation. This is used in conjunction with
C<select>, usually when C<select> contains one or more function or stored
procedure names:
$rs = $schema->resultset('Employee')->search(undef, {
select => [
'name',
{ count => 'employeeid' }
],
as => ['name', 'employee_count'],
});
my $employee = $rs->first(); # get the first Employee
If the object against which the search is performed already has an accessor
matching a column name specified in C<as>, the value can be retrieved using
the accessor as normal:
my $name = $employee->name();
If on the other hand an accessor does not exist in the object, you need to
use C<get_column> instead:
my $employee_count = $employee->get_column('employee_count');
You can create your own accessors if required - see
L<DBIx::Class::Manual::Cookbook> for details.
Please note: This will NOT insert an C<AS employee_count> into the SQL statement
produced, it is used for internal access only. Thus attempting to use the accessor
in an C<order_by> clause or similar will fail misrably.
=head2 join
=over 4
=item Value: ($rel_name | \@rel_names | \%rel_names)
=back
Contains a list of relationships that should be joined for this query. For
example:
# Get CDs by Nine Inch Nails
my $rs = $schema->resultset('CD')->search(
{ 'artist.name' => 'Nine Inch Nails' },
{ join => 'artist' }
);
Can also contain a hash reference to refer to the other relation's relations.
For example:
package MyApp::Schema::Track;
use base qw/DBIx::Class/;
__PACKAGE__->table('track');
__PACKAGE__->add_columns(qw/trackid cd position title/);
__PACKAGE__->set_primary_key('trackid');
__PACKAGE__->belongs_to(cd => 'MyApp::Schema::CD');
1;
# In your application
my $rs = $schema->resultset('Artist')->search(
{ 'track.title' => 'Teardrop' },
{
join => { cd => 'track' },
order_by => 'artist.name',
}
);
If the same join is supplied twice, it will be aliased to <rel>_2 (and
similarly for a third time). For e.g.
my $rs = $schema->resultset('Artist')->search({
'cds.title' => 'Down to Earth',
'cds_2.title' => 'Popular',
}, {
join => [ qw/cds cds/ ],
});
will return a set of all artists that have both a cd with title 'Down
to Earth' and a cd with title 'Popular'.
If you want to fetch related objects from other tables as well, see C<prefetch>
below.
=head2 prefetch
=over 4
=item Value: ($rel_name | \@rel_names | \%rel_names)
=back
Contains one or more relationships that should be fetched along with the main
query (when they are accessed afterwards they will have already been
"prefetched"). This is useful for when you know you will need the related
objects, because it saves at least one query:
my $rs = $schema->resultset('Tag')->search(
undef,
{
prefetch => {
cd => 'artist'
}
}
);
The initial search results in SQL like the following:
SELECT tag.*, cd.*, artist.* FROM tag
JOIN cd ON tag.cd = cd.cdid
JOIN artist ON cd.artist = artist.artistid
L<DBIx::Class> has no need to go back to the database when we access the
C<cd> or C<artist> relationships, which saves us two SQL statements in this
case.
Simple prefetches will be joined automatically, so there is no need
for a C<join> attribute in the above search. If you're prefetching to
depth (e.g. { cd => { artist => 'label' } or similar), you'll need to
specify the join as well.
C<prefetch> can be used with the following relationship types: C<belongs_to>,
C<has_one> (or if you're using C<add_relationship>, any relationship declared
with an accessor type of 'single' or 'filter').
=head2 page
=over 4
=item Value: $page
=back
Makes the resultset paged and specifies the page to retrieve. Effectively
identical to creating a non-pages resultset and then calling ->page($page)
on it.
If L<rows> attribute is not specified it defualts to 10 rows per page.
=head2 rows
=over 4
=item Value: $rows
=back
Specifes the maximum number of rows for direct retrieval or the number of
rows per page if the page attribute or method is used.
=head2 offset
=over 4
=item Value: $offset
=back
Specifies the (zero-based) row number for the first row to be returned, or the
of the first row of the first page if paging is used.
=head2 group_by
=over 4
=item Value: \@columns
=back
A arrayref of columns to group by. Can include columns of joined tables.
group_by => [qw/ column1 column2 ... /]
=head2 having
=over 4
=item Value: $condition
=back
HAVING is a select statement attribute that is applied between GROUP BY and
ORDER BY. It is applied to the after the grouping calculations have been
done.
having => { 'count(employee)' => { '>=', 100 } }
=head2 distinct
=over 4
=item Value: (0 | 1)
=back
Set to 1 to group by all columns.
=head2 cache
Set to 1 to cache search results. This prevents extra SQL queries if you
revisit rows in your ResultSet:
my $resultset = $schema->resultset('Artist')->search( undef, { cache => 1 } );
while( my $artist = $resultset->next ) {
... do stuff ...
}
$rs->first; # without cache, this would issue a query
By default, searches are not cached.
For more examples of using these attributes, see
L<DBIx::Class::Manual::Cookbook>.
=head2 from
=over 4
=item Value: \@from_clause
=back
The C<from> attribute gives you manual control over the C<FROM> clause of SQL
statements generated by L<DBIx::Class>, allowing you to express custom C<JOIN>
clauses.
NOTE: Use this on your own risk. This allows you to shoot off your foot!
C<join> will usually do what you need and it is strongly recommended that you
avoid using C<from> unless you cannot achieve the desired result using C<join>.
And we really do mean "cannot", not just tried and failed. Attempting to use
this because you're having problems with C<join> is like trying to use x86
ASM because you've got a syntax error in your C. Trust us on this.
Now, if you're still really, really sure you need to use this (and if you're
not 100% sure, ask the mailing list first), here's an explanation of how this
works.
The syntax is as follows -
[
{ <alias1> => <table1> },
[
{ <alias2> => <table2>, -join_type => 'inner|left|right' },
[], # nested JOIN (optional)
{ <table1.column1> => <table2.column2>, ... (more conditions) },
],
# More of the above [ ] may follow for additional joins
]
<table1> <alias1>
JOIN
<table2> <alias2>
[JOIN ...]
ON <table1.column1> = <table2.column2>
<more joins may follow>
An easy way to follow the examples below is to remember the following:
Anything inside "[]" is a JOIN
Anything inside "{}" is a condition for the enclosing JOIN
The following examples utilize a "person" table in a family tree application.
In order to express parent->child relationships, this table is self-joined:
# Person->belongs_to('father' => 'Person');
# Person->belongs_to('mother' => 'Person');
C<from> can be used to nest joins. Here we return all children with a father,
then search against all mothers of those children:
$rs = $schema->resultset('Person')->search(
undef,
{
alias => 'mother', # alias columns in accordance with "from"
from => [
{ mother => 'person' },
[
[
{ child => 'person' },
[
{ father => 'person' },
{ 'father.person_id' => 'child.father_id' }
]
],
{ 'mother.person_id' => 'child.mother_id' }
],
]
},
);
# Equivalent SQL:
# SELECT mother.* FROM person mother
# JOIN (
# person child
# JOIN person father
# ON ( father.person_id = child.father_id )
# )
# ON ( mother.person_id = child.mother_id )
The type of any join can be controlled manually. To search against only people
with a father in the person table, we could explicitly use C<INNER JOIN>:
$rs = $schema->resultset('Person')->search(
undef,
{
alias => 'child', # alias columns in accordance with "from"
from => [
{ child => 'person' },
[
{ father => 'person', -join_type => 'inner' },
{ 'father.id' => 'child.father_id' }
],
]
},
);
# Equivalent SQL:
# SELECT child.* FROM person child
# INNER JOIN person father ON child.father_id = father.id
=cut
1;