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Oracle supports three expressions that allow a subselect to be compared based on a single column of results. The operators ANY, SOME, and ALL allow one or more single-column values from a subselect to be compared to data in an outer SELECT. Using these operators allows you to deal with situations where you d like to code your SQL to handle comparisons with flexible set sizes. Our recipe focuses on using these expressions for a concrete business problem. The order-entry system tracks product information in the OE.PRODUCT_INFORMATION table, including the LIST_PRICE value. However, we know discounts are often offered, so we d like to get an approximate idea of which items have never sold at full price. To do this, we could do a precise correlated subquery of every sale against list price. Before doing that, a very quick approximation can be done to see if any LIST_PRICE value is
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builds on something that is known to be buggy. Moreover, as is usual in most software projects, there is not enough time to do things properly. As a result, the changes to the system are no longer as nice and clean as in the case of the older version. As shown in Figure 4-5, people introduce shortcuts, use libraries other than the official API, and so on.
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In the world of software architecture, encapsulation and abstraction are good things. Encapsulation promotes the use of clear and well-defined access to code; it allows your code to support a contract between the encapsulated code and its caller. Abstraction allows you to reduce complexity by breaking a problem down into layers. In the following sections, you ll learn how to use both techniques when designing your data access framework, which is just one of the tiers within a typical n-tier design and is broken down into respective layers of responsibility. Figure 8-10 depicts this layout (an explanation of the terms follows).
higher than any known sale price for any item, indicated by the UNIT_PRICE column of the OE.ORDER_ITEMS table. Our SELECT statement takes this form. select product_id, product_name from oe.product_information where list_price > ALL (select unit_price from oe.order_items); From this query, we see three results: PRODUCT_ID ---------2351 3003 2779 PRODUCT_NAME -----------------------Desk - W/48/R Laptop 128/12/56/v90/110 Desk - OS/O/F
Figure 4-5. Happiness does not last long. This increase of entropy continues in subsequent releases (see Figure 4-6). Code becomes harder to maintain. Developers maintaining it complain all the time, especially if they inherit the code and the original creator has vanished.
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Our example s use of the ALL expression allows Oracle to compare the UNIT_PRICE values from every sale, to see if any known sale price was greater than the LIST_PRICE for an item. Breaking down the steps that make this approach useful, we can first look at the subselect. select unit_price from oe.order_items This is a very simple statement that returns a single-column result set of zero or more items, shown next in abbreviated form. UNIT_PRICE ---------13 38 43 43 482.9 665 rows selected. Based on those results, our outer SELECT statement compares each LIST_PRICE from the OE.PRODUCTION_INFORMATION table with every item in the list, as we are using the ALL expression. If the LIST_PRICE is greater than all of the returned values, the expression resolves to true, and the product is included in the results. Where even one of the UNIT_PRICE values returned exceeds the LIST_PRICE of an item, the expression is false and that row is discarded from further consideration. If you review that logic, you ll realize this is not a precise calculation of every item that didn t sell for full price. Rather, it s just a quick approximation, though one that shows off the ALL technique quite well. The alternatives SOME and ANY, which are effectively synonyms, resolve the true/false determination based on only needing one item in the subselect to satisfy the SOME/ANY condition. Oracle will happily
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