L<DBIx::Class::ResultSetColumn>, see it's documentation and the
L<Cookbook|DBIx::Class::Manual::Cookbook> for details.
-=item .. fetch a formatted column?
-
-In your table schema class, create a "private" column accessor with:
-
- __PACKAGE__->add_columns(my_common => { accessor => '_hidden_my_column' });
-
-Then, in the same class, implement a subroutine called "my_column" that
-fetches the real value and does the formatting you want.
-
-See the Cookbook for more details.
-
=back
=head2 Inserting and updating data
->update({ somecolumn => \'othercolumn' })
-=item .. store JSON/YAML in a column and have it deflate/inflate automatically?
-
-You can use L<DBIx::Class::InflateColumn> to accomplish YAML/JSON storage transparently.
-
-If you want to use JSON, then in your table schema class, do the following:
-
- use JSON;
-
- __PACKAGE__->add_columns(qw/ ... my_column ../)
- __PACKAGE__->inflate_column('my_column', {
- inflate => sub { jsonToObj(shift) },
- deflate => sub { objToJson(shift) },
- });
-
-For YAML, in your table schema class, do the following:
-
- use YAML;
-
- __PACKAGE__->add_columns(qw/ ... my_column ../)
- __PACKAGE__->inflate_column('my_column', {
- inflate => sub { YAML::Load(shift) },
- deflate => sub { YAML::Dump(shift) },
- });
-
-This technique is an easy way to store supplemental unstructured data in a table. Be
-careful not to overuse this capability, however. If you find yourself depending more
-and more on some data within the inflated column, then it may be time to factor that
-data out.
-
=back
=head2 Misc
=item See the SQL statements my code is producing?
-Turn on debugging! See L<DBIx::Class::Storage::DBI> for details of how
+Turn on debugging! See L<DBIx::Class::Storage> for details of how
to turn on debugging in the environment, pass your own filehandle to
save debug to, or create your own callback.