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Options on the Header & Footer tab control what information, if any, is printed on the header and footer of images. An image s header and footer are each divided into two zones, for a total of four sections: upper left, upper right, lower left, and lower right. Each section is represented by a drop-down box (see Figure 12-36).

WITH g AS (select , from group by select * from g;

We ll write a method to obtain some useful data from the structure returned by the web service and integrate that into our own REST service..

You can customize font styles using the Font buttons adjacent to each drop-down box. Clicking a Font button opens a Font dialog. The list associated with each drop-down box contains two types of items: database field names and calculated values. Database field names appear in upper case, while calculated values are bracketed by angle brackets (see Table 12-5). Additionally, you can manually key data into these fields.

WITH g AS (select x.deptno , avg(x.msal) avg_sal from employees x group by x.deptno) select e.ename, e.init, e.msal from employees e join g using (deptno) where e.msal > g.avg_sal;

REST has four simple rules that govern how the GET, PUT, POST, and DELETE methods from HTTP are dealt with. Data is sent and received in a serialized data format (i.e., a textual representation of data structures). Authentication for API keys is sent in the HTTP header using standard HTTP authentication and authorization headers. Fortunately, the excellent Catalyst::Controller::REST exists to make providing REST services very simple.

If you define multiple subqueries in the WITH clause, you are allowed to refer to any subquery name that you defined earlier in the same WITH clause; that is, the definition of subquery V2 can refer to V1 in its FROM clause, and the definition of V3 can refer to both V1 and V2, as in the following: WITH v1 AS (select ... from ...) v2 AS (select ... from V1) , v3 AS (select ... from V2 join V1) select ... from ... , Under the hood, the Oracle DBMS has two ways to execute queries with a WITH clause: Merge the subquery definitions into the main query. This makes the subqueries behave just like inline views. Execute the subqueries, store the results in a temporary structure, and access the temporary structures from the main query.

The date and time that an image is printed The date an image is produced The sequential number of the document being produced The page number of the image within a document Production number values defined from the Numbering dialog The time an image is produced

Relational tables are flat structures. All rows of a table are equally important, and the order in which the rows are stored is irrelevant. However, some data structures have hierarchical relationships. A famous example in most books about relational database design is the bill of materials (BOM) problem, where you are supposed to design an efficient relational database structure to store facts about which (sub)components are needed to build more complicated components, up to highly complicated objects such as cars and airplanes. Figure 9-1 shows an ERM diagram with a typical solution. On the left, you see the most generic solution with a many-to-many relationship, and on the right you see a typical solution using two entities.