This results in something like the following C<WHERE> clause:
- WHERE artist LIKE '%Lamb%' AND title LIKE '%Fear of Fours%'
+ WHERE artist LIKE ? AND title LIKE ?
+
+And the following bind values for the placeholders: C<'%Lamb%'>, C<'%Fear of
+Fours%'>.
Other queries might require slightly more complex logic:
package My::Schema::Result::UserFriendsComplex;
use strict;
use warnings;
- use base qw/DBIx::Class/;
+ use base qw/DBIx::Class::Core/;
- __PACKAGE__->load_components('Core');
__PACKAGE__->table_class('DBIx::Class::ResultSource::View');
# ->table, ->add_columns, etc.
);
... 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>,
+that you cannot modify the rows it contains, e.g. cannot call L</update>,
L</delete>, ... on it).
Note that you cannot have bind parameters unless is_virtual is set to true.
=item * NOTE
If you're using the old deprecated C<< $rsrc_instance->name(\'( SELECT ...') >>
-method for custom SQL execution, you are highly encouraged to update your code
+method for custom SQL execution, you are highly encouraged to update your code
to use a virtual view as above. If you do not want to change your code, and just
want to suppress the deprecation warning when you call
L<DBIx::Class::Schema/deploy>, add this line to your source definition, so that
# SELECT name name, LENGTH( name )
# FROM artist
-Note that the C<as> attribute B<has absolutely nothing to do> with the sql
-syntax C< SELECT foo AS bar > (see the documentation in
+Note that the C<as> attribute B<has absolutely nothing to do> with the SQL
+syntax C< SELECT foo AS bar > (see the documentation in
L<DBIx::Class::ResultSet/ATTRIBUTES>). You can control the C<AS> part of the
generated SQL via the C<-as> field attribute as follows:
);
# Equivalent SQL
- # SELECT me.artistid, me.name, me.rank, me.charfield, COUNT( cds.cdid ) AS amount_of_cds
- # FROM artist me LEFT JOIN cd cds ON cds.artist = me.artistid
- # GROUP BY me.artistid, me.name, me.rank, me.charfield
- # ORDER BY amount_of_cds DESC
+ # SELECT me.artistid, me.name, me.rank, me.charfield, COUNT( cds.cdid ) AS amount_of_cds
+ # FROM artist me LEFT JOIN cd cds ON cds.artist = me.artistid
+ # GROUP BY me.artistid, me.name, me.rank, me.charfield
+ # ORDER BY amount_of_cds DESC
If your alias exists as a column in your base class (i.e. it was added with
# Or use DBIx::Class::AccessorGroup:
__PACKAGE__->mk_group_accessors('column' => 'name_length');
+See also L</Using SQL functions on the left hand side of a comparison>.
+
=head2 SELECT DISTINCT with multiple columns
my $rs = $schema->resultset('Artist')->search(
my $count = $rs->count;
# Equivalent SQL:
- # SELECT COUNT( * ) FROM (SELECT me.name FROM artist me GROUP BY me.name) count_subq:
+ # SELECT COUNT( * ) FROM (SELECT me.name FROM artist me GROUP BY me.name) me:
=head2 Grouping results
are in any way unsure about the use of the attributes above (C< join
>, C< select >, C< as > and C< group_by >).
-=head2 Subqueries (EXPERIMENTAL)
+=head2 Subqueries
You can write subqueries relatively easily in DBIC.
artist_id => { 'IN' => $inside_rs->get_column('id')->as_query },
});
-The usual operators ( =, !=, IN, NOT IN, etc) are supported.
+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,
+ artist_id => $inside_rs->get_column('id')->as_query, # does NOT work
});
=head3 Support
my $rs = $cdrs->search({
year => {
'=' => $cdrs->search(
- { artist_id => { '=' => \'me.artist_id' } },
+ { artist_id => { '=' => { -ident => 'me.artist_id' } } },
{ alias => 'inner' }
)->get_column('year')->max_rs->as_query,
},
WHERE artist_id = me.artist_id
)
-=head3 EXPERIMENTAL
-
-Please note that subqueries are considered an experimental feature.
-
=head2 Predefined searches
-You can write your own L<DBIx::Class::ResultSet> class by inheriting from it
-and defining often used searches as methods:
+You can define frequently used searches as methods by subclassing
+L<DBIx::Class::ResultSet>:
package My::DBIC::ResultSet::CD;
use strict;
1;
-To use your resultset, first tell DBIx::Class to create an instance of it
-for you, in your My::DBIC::Schema::CD class:
+If you're using L<DBIx::Class::Schema/load_namespaces>, simply place the file
+into the C<ResultSet> directory next to your C<Result> directory, and it will
+be automatically loaded.
+
+If however you are still using L<DBIx::Class::Schema/load_classes>, first tell
+DBIx::Class to create an instance of the ResultSet class for you, in your
+My::DBIC::Schema::CD class:
# class definition as normal
- __PACKAGE__->load_components(qw/ Core /);
+ use base 'DBIx::Class::Core';
__PACKAGE__->table('cd');
# tell DBIC to use the custom ResultSet class
=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,
+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. (Unless your RDBMS
+supports indexes on expressions - including return values of functions - and
+you create an index on the return value of the function in question.) However,
it can be accomplished with C<DBIx::Class> when necessary.
+Your approach for doing so will depend on whether you have turned
+quoting on via the C<quote_char> and C<name_sep> attributes. If you
+explicitly defined C<quote_char> and C<name_sep> in your
+C<connect_info> (see L<DBIx::Class::Storage::DBI/"connect_info">) then
+you are using quoting, otherwise not.
+
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:
+With quoting on, or for a more portable solution, use literal SQL values with
+placeholders:
- $rs->search({}, { where => \'YEAR(date_of_birth) = 1979' });
+ $rs->search(\[ 'YEAR(date_of_birth) = ?', [ plain_value => 1979 ] ]);
-=begin hidden
+ # Equivalent SQL:
+ # SELECT * FROM employee WHERE YEAR(date_of_birth) = ?
-(When the bind args ordering bug is fixed, this technique will be better
-and can replace the one above.)
+ $rs->search({
+ name => 'Bob',
+ -nest => \[ 'YEAR(date_of_birth) = ?', [ plain_value => 1979 ] ],
+ });
-With quoting on, or for a more portable solution, use the C<where> and
-C<bind> attributes:
+ # Equivalent SQL:
+ # SELECT * FROM employee WHERE name = ? AND YEAR(date_of_birth) = ?
- $rs->search({}, {
- where => \'YEAR(date_of_birth) = ?',
- bind => [ 1979 ]
- });
+Note: the C<plain_value> string in the C<< [ plain_value => 1979 ] >> part
+should be either the same as the name of the column (do this if the type of the
+return value of the function is the same as the type of the column) or
+otherwise it's essentially a dummy string currently (use C<plain_value> as a
+habit). It is used by L<DBIx::Class> to handle special column types.
-=end hidden
+See also L<SQL::Abstract/Literal SQL with placeholders and bind values
+(subqueries)>.
=head1 JOINS AND PREFETCHING
package My::App::Schema;
- use base DBIx::Class::Schema;
+ use base 'DBIx::Class::Schema';
# load subclassed classes from My::App::Schema::Result/ResultSet
__PACKAGE__->load_namespaces;
use strict;
use warnings;
- use base My::Shared::Model::Result::Baz;
+ use base 'My::Shared::Model::Result::Baz';
# WARNING: Make sure you call table() again in your subclass,
# otherwise DBIx::Class::ResultSourceProxy::Table will not be called
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
+separate 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.
use strict;
use warnings;
- use base qw/DBIx::Class/;
+ use base qw/DBIx::Class::Core/;
### Define 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
### The statement below will print
print "I can do admin stuff\n" if $admin->can('do_admin_stuff');
+Alternatively you can use L<DBIx::Class::DynamicSubclass> that implements
+exactly the above functionality.
+
=head2 Skip row object creation for faster results
DBIx::Class is not built for speed, it's built for convenience and
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'} );
+ __PACKAGE__->has_many('pages' => 'Page', 'book', { order_by => { -desc => 'page_number'} } );
=head2 Filtering a relationship result set
This is straightforward using L<ManyToMany|DBIx::Class::Relationship/many_to_many>:
package My::User;
- use base 'DBIx::Class';
- __PACKAGE__->load_components('Core');
+ use base 'DBIx::Class::Core';
__PACKAGE__->table('user');
__PACKAGE__->add_columns(qw/id name/);
__PACKAGE__->set_primary_key('id');
__PACKAGE__->many_to_many('addresses' => 'user_address', 'address');
package My::UserAddress;
- use base 'DBIx::Class';
- __PACKAGE__->load_components('Core');
+ use base 'DBIx::Class::Core';
__PACKAGE__->table('user_address');
__PACKAGE__->add_columns(qw/user address/);
__PACKAGE__->set_primary_key(qw/user address/);
__PACKAGE__->belongs_to('address' => 'My::Address');
package My::Address;
- use base 'DBIx::Class';
- __PACKAGE__->load_components('Core');
+ use base 'DBIx::Class::Core';
__PACKAGE__->table('address');
__PACKAGE__->add_columns(qw/id street town area_code country/);
__PACKAGE__->set_primary_key('id');
$rs = $user->addresses(); # get all addresses for a user
$rs = $address->users(); # get all users for an address
+ my $address = $user->add_to_addresses( # returns a My::Address instance,
+ # NOT a My::UserAddress instance!
+ {
+ country => 'United Kingdom',
+ area_code => 'XYZ',
+ town => 'London',
+ street => 'Sesame',
+ }
+ );
+
=head2 Relationships across DB schemas
Mapping relationships across L<DB schemas|DBIx::Class::Manual::Glossary/DB schema>
declaration, like so...
package MyDatabase::Main::Artist;
- use base qw/DBIx::Class/;
- __PACKAGE__->load_components(qw/PK::Auto Core/);
+ use base qw/DBIx::Class::Core/;
__PACKAGE__->table('database1.artist'); # will use "database1.artist" in FROM clause
=head1 TRANSACTIONS
+=head2 Transactions with txn_do
+
As of version 0.04001, there is improved transaction support in
L<DBIx::Class::Storage> and L<DBIx::Class::Schema>. Here is an
example of the recommended way to use it:
return $genus->species;
};
+ use Try::Tiny;
my $rs;
- eval {
+ try {
$rs = $schema->txn_do($coderef1);
- };
-
- if ($@) { # Transaction failed
+ } catch {
+ # Transaction failed
die "the sky is falling!" #
- if ($@ =~ /Rollback failed/); # Rollback failed
+ if ($_ =~ /Rollback failed/); # Rollback failed
deal_with_failed_transaction();
- }
+ };
+
+Note: by default C<txn_do> will re-run the coderef one more time if an
+error occurs due to client disconnection (e.g. the server is bounced).
+You need to make sure that your coderef can be invoked multiple times
+without terrible side effects.
Nested transactions will work as expected. That is, only the outermost
transaction will actually issue a commit to the $dbh, and a rollback
at any level of any transaction will cause the entire nested
-transaction to fail. Support for savepoints and for true nested
-transactions (for databases that support them) will hopefully be added
-in the future.
+transaction to fail.
+
+=head2 Nested transactions and auto-savepoints
+
+If savepoints are supported by your RDBMS, it is possible to achieve true
+nested transactions with minimal effort. To enable auto-savepoints via nested
+transactions, supply the C<< auto_savepoint = 1 >> connection attribute.
+
+Here is an example of true nested transactions. In the example, we start a big
+task which will create several rows. Generation of data for each row is a
+fragile operation and might fail. If we fail creating something, depending on
+the type of failure, we want to abort the whole task, or only skip the failed
+row.
+
+ my $schema = MySchema->connect("dbi:Pg:dbname=my_db");
+
+ # Start a transaction. Every database change from here on will only be
+ # committed into the database if the try block succeeds.
+ use Try::Tiny;
+ my $exception;
+ try {
+ $schema->txn_do(sub {
+ # SQL: BEGIN WORK;
+
+ my $job = $schema->resultset('Job')->create({ name=> 'big job' });
+ # SQL: INSERT INTO job ( name) VALUES ( 'big job' );
+
+ for (1..10) {
+
+ # Start a nested transaction, which in fact sets a savepoint.
+ try {
+ $schema->txn_do(sub {
+ # SQL: SAVEPOINT savepoint_0;
+
+ my $thing = $schema->resultset('Thing')->create({ job=>$job->id });
+ # SQL: INSERT INTO thing ( job) VALUES ( 1 );
+
+ if (rand > 0.8) {
+ # This will generate an error, thus setting $@
+
+ $thing->update({force_fail=>'foo'});
+ # SQL: UPDATE thing SET force_fail = 'foo'
+ # WHERE ( id = 42 );
+ }
+ });
+ } catch {
+ # SQL: ROLLBACK TO SAVEPOINT savepoint_0;
+
+ # There was an error while creating a $thing. Depending on the error
+ # we want to abort the whole transaction, or only rollback the
+ # changes related to the creation of this $thing
+
+ # Abort the whole job
+ if ($_ =~ /horrible_problem/) {
+ print "something horrible happend, aborting job!";
+ die $_; # rethrow error
+ }
+
+ # Ignore this $thing, report the error, and continue with the
+ # next $thing
+ print "Cannot create thing: $_";
+ }
+ # There was no error, so save all changes since the last
+ # savepoint.
+
+ # SQL: RELEASE SAVEPOINT savepoint_0;
+ }
+ });
+ } catch {
+ $exception = $_;
+ }
+
+ if ($caught) {
+ # There was an error while handling the $job. Rollback all changes
+ # since the transaction started, including the already committed
+ # ('released') savepoints. There will be neither a new $job nor any
+ # $thing entry in the database.
+
+ # SQL: ROLLBACK;
+
+ print "ERROR: $exception\n";
+ }
+ else {
+ # There was no error while handling the $job. Commit all changes.
+ # Only now other connections can see the newly created $job and
+ # @things.
+
+ # SQL: COMMIT;
+
+ print "Ok\n";
+ }
+
+In this example it might be hard to see where the rollbacks, releases and
+commits are happening, but it works just the same as for plain L<<txn_do>>: If
+the C<try>-block around C<txn_do> fails, a rollback is issued. If the C<try>
+succeeds, the transaction is committed (or the savepoint released).
+
+While you can get more fine-grained control using C<svp_begin>, C<svp_release>
+and C<svp_rollback>, it is strongly recommended to use C<txn_do> with coderefs.
+
+=head2 Simple Transactions with DBIx::Class::Storage::TxnScopeGuard
+
+An easy way to use transactions is with
+L<DBIx::Class::Storage::TxnScopeGuard>. See L</Automatically creating
+related objects> for an example.
+
+Note that unlike txn_do, TxnScopeGuard will only make sure the connection is
+alive when issuing the C<BEGIN> statement. It will not (and really can not)
+retry if the server goes away mid-operations, unlike C<txn_do>.
=head1 SQL
To create a new database using the schema:
my $schema = My::Schema->connect($dsn);
- $schema->deploy({ add_drop_tables => 1});
+ $schema->deploy({ add_drop_table => 1});
To import created .sql files using the mysql client:
package MyAppDB::Dual;
use strict;
use warnings;
- use base 'DBIx::Class';
- __PACKAGE__->load_components("Core");
+ use base 'DBIx::Class::Core';
__PACKAGE__->table("Dual");
__PACKAGE__->add_columns(
"dummy",
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
+and warn if the user tries to run a newer schema version than the
database thinks it has.
-Alternatively, you can send the conversion sql scripts to your
+Alternatively, you can send the conversion SQL scripts to your
customers as above.
-=head2 Setting quoting for the generated SQL.
+=head2 Setting quoting for the generated 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:
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.
+generator to put the quotes the correct place, and defaults to
+C<.> if not supplied.
In most cases you should set these as part of the arguments passed to
L<DBIx::Class::Schema/connect>:
)
In some cases, quoting will be required for all users of a schema. To enforce
-this, you can also overload the C<connect> method for your schema class:
+this, you can also overload the C<connection> method for your schema class:
- sub connect {
+ sub connection {
my $self = shift;
my $rv = $self->next::method( @_ );
$rv->storage->sql_maker->quote_char([ qw/[ ]/ ]);
return $rv;
}
-=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
}
);
-In conditions (eg. C<\%cond> in the L<DBIx::Class::ResultSet/search> family of
+In conditions (e.g. 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:
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]
->>.
+arrayrefs together with the column name, like this:
+C<< [column_name => value] >>.
+
+=head2 Formatting DateTime objects in queries
+
+To ensure C<WHERE> conditions containing L<DateTime> arguments are properly
+formatted to be understood by your RDBMS, you must use the C<DateTime>
+formatter returned by L<DBIx::Class::Storage::DBI/datetime_parser> to format
+any L<DateTime> objects you pass to L<search|DBIx::Class::ResultSet/search>
+conditions. Any L<Storage|DBIx::Class::Storage> object attached to your
+L<Schema|DBIx::Class::Schema> provides a correct C<DateTime> formatter, so
+all you have to do is:
+
+ my $dtf = $schema->storage->datetime_parser;
+ my $rs = $schema->resultset('users')->search(
+ {
+ signup_date => {
+ -between => [
+ $dtf->format_datetime($dt_start),
+ $dtf->format_datetime($dt_end),
+ ],
+ }
+ },
+ );
+
+Without doing this the query will contain the simple stringification of the
+C<DateTime> object, which almost never matches the RDBMS expectations.
+
+This kludge is necessary only for conditions passed to
+L<DBIx::Class::ResultSet/search>, whereas
+L<create|DBIx::Class::ResultSet/create>,
+L<find|DBIx::Class::ResultSet/find>,
+L<DBIx::Class::Row/update> (but not L<DBIx::Class::ResultSet/update>) are all
+L<DBIx::Class::InflateColumn>-aware and will do the right thing when supplied
+an inflated C<DateTime> object.
+
+=head2 Using Unicode
+
+When using unicode character data there are two alternatives -
+either your database supports unicode characters (including setting
+the utf8 flag on the returned string), or you need to encode/decode
+data appropriately each time a string field is inserted into or
+retrieved from the database. It is better to avoid
+encoding/decoding data and to use your database's own unicode
+capabilities if at all possible.
+
+The L<DBIx::Class::UTF8Columns> component handles storing selected
+unicode columns in a database that does not directly support
+unicode. If used with a database that does correctly handle unicode
+then strange and unexpected data corrupt B<will> occur.
+
+The Catalyst Wiki Unicode page at
+L<http://wiki.catalystframework.org/wiki/tutorialsandhowtos/using_unicode>
+has additional information on the use of Unicode with Catalyst and
+DBIx::Class.
+
+The following databases do correctly handle unicode data:-
+
+=head3 MySQL
+
+MySQL supports unicode, and will correctly flag utf8 data from the
+database if the C<mysql_enable_utf8> is set in the connect options.
+
+ my $schema = My::Schema->connection('dbi:mysql:dbname=test',
+ $user, $pass,
+ { mysql_enable_utf8 => 1} );
+
+
+When set, a data retrieved from a textual column type (char,
+varchar, etc) will have the UTF-8 flag turned on if necessary. This
+enables character semantics on that string. You will also need to
+ensure that your database / table / column is configured to use
+UTF8. See Chapter 10 of the mysql manual for details.
+
+See L<DBD::mysql> for further details.
+
+=head3 Oracle
+
+Information about Oracle support for unicode can be found in
+L<DBD::Oracle/Unicode>.
+
+=head3 PostgreSQL
+
+PostgreSQL supports unicode if the character set is correctly set
+at database creation time. Additionally the C<pg_enable_utf8>
+should be set to ensure unicode data is correctly marked.
+
+ my $schema = My::Schema->connection('dbi:Pg:dbname=test',
+ $user, $pass,
+ { pg_enable_utf8 => 1} );
+
+Further information can be found in L<DBD::Pg>.
+
+=head3 SQLite
+
+SQLite version 3 and above natively use unicode internally. To
+correctly mark unicode strings taken from the database, the
+C<sqlite_unicode> flag should be set at connect time (in versions
+of L<DBD::SQLite> prior to 1.27 this attribute was named
+C<unicode>).
+
+ my $schema = My::Schema->connection('dbi:SQLite:/tmp/test.db',
+ '', '',
+ { sqlite_unicode => 1} );
=head1 BOOTSTRAPPING/MIGRATING
=head2 Easy migration from class-based to schema-based setup
You want to start using the schema-based approach to L<DBIx::Class>
-(see L<SchemaIntro.pod>), but have an established class-based setup with lots
-of existing classes that you don't want to move by hand. Try this nifty script
-instead:
+(see L<DBIx::Class::Manual::Intro/Setting it up manually>), but have an
+established class-based setup with lots of existing classes that you don't
+want to move by hand. Try this nifty script instead:
use MyDB;
use SQL::Translator;
For example, say that you have three columns, C<id>, C<number>, and
C<squared>. You would like to make changes to C<number> and have
C<squared> be automagically set to the value of C<number> squared.
-You can accomplish this by overriding C<store_column>:
+You can accomplish this by wrapping the C<number> accessor with
+L<Class::Method::Modifiers>:
+
+ around number => sub {
+ my ($orig, $self) = (shift, shift);
- sub store_column {
- my ( $self, $name, $value ) = @_;
- if ($name eq 'number') {
- $self->squared($value * $value);
+ if (@_) {
+ my $value = $_[0];
+ $self->squared( $value * $value );
}
- $self->next::method($name, $value);
+
+ $self->next::method(@_);
}
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).
+Generally, if this is a calculation your database can easily do, try
+and avoid storing the calculated value, it is safer to calculate when
+needed, than rely on the data being in sync.
+
=head2 Automatically creating related objects
You might have a class C<Artist> which has many C<CD>s. Further, you
sub insert {
my ( $self, @args ) = @_;
$self->next::method(@args);
- $self->cds->new({})->fill_from_artist($self)->insert;
+ $self->create_related ('cds', \%initial_cd_data );
return $self;
}
-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.
+If you want to wrap the two inserts in a transaction (for consistency,
+an excellent idea), you can use the awesome
+L<DBIx::Class::Storage::TxnScopeGuard>:
+
+ sub insert {
+ my ( $self, @args ) = @_;
+
+ my $guard = $self->result_source->schema->txn_scope_guard;
+
+ $self->next::method(@args);
+ $self->create_related ('cds', \%initial_cd_data );
+
+ $guard->commit;
+
+ return $self
+ }
+
=head2 Wrapping/overloading a column accessor
sub query_start {
my $self = shift();
my $sql = shift();
- my $params = @_;
+ my @params = @_;
$self->print("Executing $sql: ".join(', ', @params)."\n");
$start = time();
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 IMPROVING PERFORMANCE
+
+=over
+
+=item *
+
+Install L<Class::XSAccessor> to speed up L<Class::Accessor::Grouped>.
+
+=item *
+
+On Perl 5.8 install L<Class::C3::XS>.
+
+=item *
+
+L<prefetch|DBIx::Class::ResultSet/prefetch> relationships, where possible. See
+L</Using joins and prefetch>.
+
+=item *
+
+Use L<populate|DBIx::Class::ResultSet/populate> in void context to insert data
+when you don't need the resulting L<DBIx::Class::Row> objects, if possible, but
+see the caveats.
+
+When inserting many rows, for best results, populate a large number of rows at a
+time, but not so large that the table is locked for an unacceptably long time.
+
+If using L<create|DBIx::Class::ResultSet/create> instead, use a transaction and
+commit every C<X> rows; where C<X> gives you the best performance without
+locking the table for too long.
+
+=item *
+
+When selecting many rows, if you don't need full-blown L<DBIx::Class::Row>
+objects, consider using L<DBIx::Class::ResultClass::HashRefInflator>.
+
+=item *
+
+See also L</STARTUP SPEED> and L</MEMORY USAGE> in this document.
+
+=back
+
=head1 STARTUP SPEED
L<DBIx::Class|DBIx::Class> programs can have a significant startup delay
Typically L<DBIx::Class> result classes start off with
- use base qw/DBIx::Class/;
- __PACKAGE__->load_components(qw/InflateColumn::DateTime Core/);
+ use base qw/DBIx::Class::Core/;
+ __PACKAGE__->load_components(qw/InflateColumn::DateTime/);
If this preamble is moved into a common base class:-
package MyDBICbase;
- use base qw/DBIx::Class/;
- __PACKAGE__->load_components(qw/InflateColumn::DateTime Core/);
+ use base qw/DBIx::Class::Core/;
+ __PACKAGE__->load_components(qw/InflateColumn::DateTime/);
1;
and each result class then uses this as a base:-
projects / dbsrgits/DBIx-Class.git / blobdiff