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The single thing that we find most effective in terms of producing tests without feeling like we re slowing down development is to always make sure the first time a piece of code is run is from a t/ file. Even if it s only a warn [something] at the bottom of a file with no actual tests in it yet, we can then wait until that produces the correct output and trivially record that expected output as a test by changing the warn to is([something], "string", "explanation") or similar. As the first tests for a piece of code are written, we check to see if, again, the design needs to be tweaked, and keep writing until we are reasonably confident the code is correct. If we manage to break something, we can write a test for that and then go and fix the relevant code. While we are not test-driven development addicts, we are great fans of test-driven debugging. Over the course of this chapter, we will rework the LolCatalyst::Lite application from 3 to create a domain model, refactor the application to use it, and then extend the application, presenting the addition of both code and tests in the order we would do them during development of a real-world application.

Figure 8-13. Concordance s Sort tool. Fields on the left can be added to the sort list box on the right, and sorted in ascending or descending order.

In case the subquery happens to produce multiple rows, the Oracle DBMS reacts with the error message shown in Listing 4-38. Listing 4-38. Error: Single-Row Subquery Returns More Than One Row select ename, init, bdate from employees where bdate > (select bdate from employees where ename = 'JONES'); where bdate > (select bdate * ERROR at line 3: ORA-01427: single-row subquery returns more than one row In this example, the problem is that we have two employees with the same name (Jones). Note that you always risk this outcome, unless you make sure to use an equality comparison against a unique column of the table accessed in the subquery, as in the example in Listing 4-36. So far, we have investigated subqueries only in the WHERE clause of the SELECT statement. Oracle SQL also supports subqueries in other SELECT statement clauses, such as the FROM clause and the SELECT clause. 9 will revisit subqueries.

If a column (in a specific row of a table) contains no value, we say that such a column contains a null value. The term null value is actually slightly misleading, because it is an indicator of missing information. Null marker would have been a better term, because a null value is not a value. There can be many different reasons for missing information. Sometimes, an attribute is inapplicable; for example, only sales representatives are eligible for commission. An attribute value can also be unknown; for example, the person entering data did not know certain values when the data was entered. And, sometimes, you don t know whether an attribute is applicable or inapplicable; for example, if you don t know the job of a specific employee, you don t know whether a commission value is applicable. The REGISTRATIONS table provides another good example. A null value in the EVALUATION column can mean several things: the course did not yet take place, the attendee had no opinion, the attendee refused to provide her opinion, the evaluation forms are not yet processed, and so on. It would be nice if you could represent the reason why information is missing, but SQL supports only one null value, and according to Ted Codd s rule 3 (see 1) null values can have only one context-independent meaning.

Before trying to extend the application code, our first project is to factor domain logic out of the web application itself in order to get to the MVC setup we d normally try to start with. In order to do that, we need to create a domain class that exists on its own outside of the web application, begin making tests for it that can be expanded later as we add functionality, and then refactor the application to make the external classes available via $c->model again.

Each user can set the number of fields that are visible in Table view and the order in which they appear Furthermore, Concordance can store the details of several layouts (in a file with a LAYOUT extension), so that a user may select a view of fields that most efficiently displays only those fields that are useful at a given time To modify the order and appearance of fields in Table view, right-click anywhere in the Table view, then select the Table Layout option This opens the Table Layout tool, which displays a list of the currently saved views and a list of all fields in the database (see Figure 8-14) Highlighting the name of a layout and clicking the OK button returns you to Table view, with the highlighted layout ordering and hiding fields as defined in the layout.