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We should, of course, attempt to check that the data entered into the form is in a sane format to store in our database We can do this in various ways To check the validity of an e-mail, we ll use the CPAN module Email::Valid, which you should install if you haven t already The cheap and easy way to validate in Catalyst just adds more code to add to check the values To do this, you would add the following before the create the user comment: ## VALIDATE THE DATA use Email::Valid; if(!Email::Valid->address($params->{email})) { $c->stash( errors => { email => 'invalid' }); return $c->res->redirect($c->uri_for($c->controller()->action_for('add'))); # empty argument to $c->controller() defaults to the current controller } We re not going to do this, though It s much better to have the validation closer to the database layer.

The join examples shown in the previous section use the Cartesian product operator (the comma in the FROM clause) as a starting point, and then filter the rows using an appropriate WHERE clause. There s absolutely nothing wrong with that approach, and the syntax is fully compliant with the ANSI/ISO SQL standard, but the ANSI/ISO SQL standard also supports alternative syntax to specify joins. This alternative join syntax is covered in this section. First, let s look again at the join statement in Listing 8-7. You could argue that the WHERE clause of that query contains two different condition types: line 5 contains the join condition to make sure you combine the right rows, and line 6 is a real (non-join) condition to filter the employees based on their birth dates. Listing 8-8 shows an equivalent query, producing the same results, using a different join syntax. Note the keywords JOIN and ON. Also note that this join syntax doesn t use any commas in the FROM clause. Listing 8-8. JOIN ... ON Example select e.ename as employee , m.ename as manager from employees m JOIN employees e ON e.mgr = m.empno where e.bdate > date '1965-01-01' order by employee;

The Sum section of the Field Options dialog contains the following settings: Total: Calculates a total at the end of the report for the selected column. This option is appropriate for fields that have a NUMERIC data type. Subtotal: When the value in the Break column selection changes, a subtotal will be calculated. A report can span several pages without calculating a subtotal if the data contained in the Break column is the same for many records. For this option to be used effectively, you should sort the report on the Break column field. Like the preceding Total option, this option applies to fields with a NUMERIC data type. Width: Controls the number of digits that are displayed in totals and subtotals. Decimals: Controls the number of digits that appear to the right of a decimal place in totals and subtotals. Break column: Defines how subtotals should be calculated, as described earlier.

The syntax of Listing 8-8 is more elegant than the syntax in Listing 8-7, because the join is fully specified in the FROM clause and the WHERE clause contains only the filtering (i.e., the non-join) condition.

This makes it possible to reuse the database model in another application and still have identical checks on the inputs The create method on a resultset calls new on a Result class and then insert to create the database row We can prevent new from succeeding when the data is invalid by overloading it in our Auth::Schema::Result::Users class below the do not modify line: use Email::Valid; sub new { my ($class, $args) = @_; if( exists $args->{email} && !Email::Valid->address($args->{email}) ) { die 'Email invalid'; } return $class->next::method($args); } and we remove the original VALIDATE THE DATA section in DBICTest::Controller::AuthUsers The create call will die if the e-mail is not a valid address, so we ll need to catch that in our code, unless we want the user to see the standard Catalyst error page.