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Oracle also provides extensive support for collection-type data, through two different Oracle object-relational extensions: I Varying arrays. A varying array is an ordered collection of data items, all having the same data type. There is no requirement that the items in the array be unique. You define the maximum number of data items that can occur when you specify a varying array type for a column. Oracle provides extensions to SQL to access the individual items within the array. I Nested tables. A nested table is an actual table within a table. A column with a nested table type contains individual data items that are themselves tables. Oracle actually stores the nested table data separately from the main table that contains it, but it uses SQL extensions to process nested references to the inner table. Unlike a varying array, a nested table can contain any number of rows. A column within a table can be declared to have a VARRAY (varying array) or TABLE OF (nested table) structure. Here are some Oracle CREATE TYPE and CREATE TABLE statements that use varying arrays and nested tables to achieve table structures like those shown in Figure 24-6:

CREATE TABLE EMPL_NUM NAME ADDRESS SLS_MGR SALARY QUOTA QTR_TGT REPS ( INTEGER, NAME_TYPE, ADDR_TYPE, INTEGER, MONEY(9,2), MONEY(9,2), VARRAY(4) OF NUMBER(9,2));

(20 row(s) affected)

/* /* /* /*

Take a peek at Figure 11-1, in the top image, we can see the energy transfers taking place the light striking our photochemical solar cell, generating energy and turning the shaft of the electric motor, which is connected to our cell. The radiated energy from the sun in the form of light, is being transformed through a chemical

employee number of mgr */ annual salary */ sales quota */ four quarterly tgts */

CREATE TYPE DEGR_TYPE AS OBJECT ( ( DEGREE VARCHAR(3), SCHOOL VARCHAR(15)); CREATE TABLE EMPL_NUM NAME ADDRESS SALARY YRS_EXPER DEGREES NESTED TABLE ENGINEERS ( INTEGER, NAME_TYPE, ADDR_TYPE, NUMBER(9,2), /* annual salary */ INTEGER, /* years of experience */ TABLE OF DEGR_TYPE); DEGREES STORE AS DEGREES_TABLE;

Note that in the result set, all rows for the same value of MPAA Rating Code (RATING column) appear together, and within each MPAA Rating the rows are ordered by the Movie Genre Code (GENRE column). Most IT (Information Technology) professionals would say that the result set is ordered by Genre within Rating. Just for fun, let s order the rows by Genre descending within Rating ascending. Here is the revised SELECT statement and the corresponding result set (from an Oracle database this time, using the SQL*Plus client, so you can see the differences in the formatting of the result set):

24:

The quarterly target information for the REPS table is most easily represented as an Oracle varying array column. There will be exactly four quarters of information, so the maximum size of the array is known in advance. In this example, the varying array contains a simple data item as its element, but it s also common to define varying arrays whose items are themselves abstract (structured) data types. The academic degree information for the ENGINEERS table is represented as a nested table. For a data item like this one, you could decide to place an upper limit on the number of rows and use a varying array structure instead, but in general, if the maximum number of items is unknown, a nested table is the right choice. In this case, the nested table has an abstract data type composed of two attributes. Each row of the nested table will contain information about a degree granted and the school that granted it.

Collection-valued columns complicate the process of querying the tables that contain them. In the SELECT item list, they generate multiple data values for each row of query results. In search conditions, they don t contain individual data items, but it s sometimes convenient to treat them as sets of data. The object-relational databases typically provide a limited set of SQL extensions or extend existing SQL concepts to provide simple queries involving collection data. For more advanced queries, they require you to write stored procedure language programs with loop structures that process the collection data items one by one. For query purposes, Informix treats the collection types as if they were a set of data values, like the values that might be returned by a subquery. You can match individual items within a collection using the SQL IN search condition. Here is a query that finds any technicians who work on a project named bingo :

SELECT EMPL_NUM, NAME FROM TECHNICIANS WHERE 'bingo' IN (PROJECTS);

SELECT MPAA_RATING_CODE AS RATING, MOVIE_GENRE_CODE AS GENRE, MOVIE_TITLE FROM MOVIE ORDER BY MPAA_RATING_CODE ASC, MOVIE_GENRE_CODE DESC