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Okay, so you created and then enforced a relationship between the category and department tables. But how does it work, and how does it affect your life Let s study how you implemented this relationship. In the category table, apart from the primary key and the usual category_id, name, column, and description columns, you added a department_id column. This column stores the ID of the department the category belongs to. Because the department_id field in category doesn t allow NULLs, you must supply a department for each category. Furthermore, because of the foreign key relationship, the database won t allow you to specify a nonexistent department. The foreign key s behavior is dictated by the command used to create it, which in our case is CONSTRAINT fk_department_id FOREIGN KEY (department_id) REFERENCES department (department_id) ON UPDATE RESTRICT ON DELETE RESTRICT The constraint can be instructed to act differently on update and delete operations. Here, in both cases the behavior is RESTRICT. Let s see the alternatives:

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If you want to load more or fewer items at one time, you can set the number of items to display. You can also limit the total number of items returned to a specific number. In this case, users would see the top items in the list and not have access to any additional items.

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RESTRICT (similar to NO ACTION): This is probably the most important of the options It tells PostgreSQL to make sure that database operations on the tables involved in the relationship don t break the relationship When this option is set, PostgreSQL won t allow you to add categories to nonexistent departments or delete departments that have related categories CASCADE: Performs automatic data changes to maintain the data integrity For example, changing the ID of an existing department would cause the change to propagate to the category table to keep the categorydepartment associations intact This way, even after you change the ID of the department, its categories would still belong to it This option is dangerous because when deleting a department, PostgreSQL automatically deletes all the department s related categories This is a sensitive option, so be very careful with it You won t use it in the HatShop project.

else -- add the row if it does not exist begin aioo_worker.id := get_id(); insert into WORKER_OT values ( aioo_worker ); -n_inserted := nvl(n_inserted, 0) + nvl(sql%rowcount, 0); exception when OTHERS then raise_application_error( -20003, SQLERRM|| ' on insert WORKER_OT'|| ' in WORKER_O.set_row()' ); end; end if; end set_row;

SET NULL: Sets the foreign key field to NULL when the parent is updated or deleted SET DEFAULT: Sets the foreign key field to its default value when the parent is updated or deleted In the One-to-Many relationship (and implicitly the FOREIGN KEY constraint), you link two columns from two different tables One of these columns is a primary key, and it defines the One part of the relationship In our case, department_id is the primary key of department, so department is the one that connects to many categories A primary key must be on the One part to ensure that it s unique a category can t be linked to a department if you can t be sure that the department ID is unique You must ensure that no two departments have the same ID; otherwise, the relationship wouldn t make much sense.

MEMBER PROCEDURE test( self begin end test;

After you ve created several views, you might find the need to modify them. To modify an existing view, follow these steps:

begin return rtrim(name||to_char(birth_date, 'YYYYMMDDHH24MISS')); end to_varchar2;

You ll find a very nice article on referential integrity with PostgreSQL at http://techdocspostgresqlorg/ techdocs/hackingreferentialintegrityphp..

CONSTRUCTOR FUNCTION worker_o( self in out worker_o, ain_worker_type_id in number, aiv_first_name in varchar2, aiv_middle_name in varchar2, aiv_last_name in varchar2, aid_birth_date in date, ain_gender_id in number) return self as result is begin id := WORKER_O.get_id(); worker_type_id := ain_worker_type_id;

Now that you ve created the category table, you can populate it with some data. We ll also try to add data that would break the relationship that you established between the department and category tables. The sample data that we ll add to the category table is shown in Table 4-2. Table 4-2. Designing the category Table category_id

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