Fey

Fey is a software that provides better SQL generation through Perl. The Fey distribution includes a collection of modules that represent the various components of a database schema. Additionally, it allows for the dynamic creation of SQL queries based on that schema, resulting in more efficient and accurate queries.

To use Fey, you must first include the necessary modules in your code. This can be done with the following lines of code:

use Fey::Literal::Function;
use Fey::Placeholder;
use Fey::Schema;
use Fey::SQL;

Once you have included these modules, you can begin using Fey to create SQL queries. This typically involves creating a schema object and using it to generate the necessary components for your query.

For example, you might create a schema object using the following line of code:

my $schema = hand_waving();

Once you have a schema object, you can create tables and other components of your database using the schema's various methods. For instance, you might create a table object like so:

my $user = $schema->table('User');

Using these components, you can then construct a SQL query using the Fey::SQL module. This typically involves creating a select object and adding the necessary components to it, such as tables, columns, and where clauses.

For instance, you might create a select object like so:

my $select = Fey::SQL->new_select();

You can then add components to the select object using various methods exposed by the module. For example:

$select->select( $user->columns( 'user_id', 'username' ) )
->from( $user, $group )
->where( $group->group_id, 'IN', 1, 2, 3 )
->and ( $func, 'LIKE', 'smith%' );

Finally, once you have constructed your SQL query, you can generate the actual SQL code using the Fey::SQL module's sql() method. For example:

print $select->sql($dbh);

Overall, Fey is a powerful tool for generating efficient SQL queries through Perl. By providing a range of modules for representing database components and generating queries dynamically, it allows developers to create better-performing, more accurate queries with less effort.