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Object tables contain objects such as the person type that was created in the previous section. Here s an example: SQL> CREATE TABLE person_table OF person; Table created. SQL> Here s the interesting part. The person_table table doesn t contain single value columns like a regular Oracle table its columns are types, which can hold multiple values. You can use object tables to view the data as a single-column table or a multicolumn table that consists of the components of the object type. Here s how you would insert data into an object table: SQL> INSERT INTO person_table 2 VALUES 3 ('john smith', '1-800-555-9999'); 1 row created. SQL>

In 7 you saw how Oracle SQL statements include DDL, DML, and other types of statements. Let s begin with a review of the basic SQL statements.

Collections are ideal for representing one-to-many relationships among data. Oracle offers you two main types of collections: varrays and nested tables. We ll look at these two types of collections in more detail in the following sections.

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The SELECT statement is the most common SQL statement (it is also called a projection). A SELECT statement retrieves all or some of the data in a table, based on the criteria that you specify. The most basic SELECT statement is one that retrieves all the data in the table: SQL> SELECT * FROM employees; To retrieve only certain columns from a table, you specify the column names after the SELECT keyword, as shown in the following example: SQL> SELECT first_name, last_name, hiredate FROM employees; If you want only the first ten rows of a table, you can use the following statement: SQL> SELECT * FROM employees WHERE rownum <11;

Varrays are stored in the database as RAW or BLOB objects. A varray is simply an ordered collection of data elements. Each element in the array is identified by an index, which is used to access that particular element. Here s how you declare a VARRAY type: SQL> CREATE TYPE prices AS VARRAY (10) OF NUMBER (12,2);

If you want just a count of all the rows in the table, you can use the following statement: SQL> SELECT COUNT(*) FROM employees; If a table has duplicate data, you can use the DISTINCT clause to eliminate the duplicate values, as shown here: SQL> SELECT DISTINCT username FROM V$SESSION; The optional WHERE clause in a SELECT statement uses conditions to help you specify that only certain rows be returned. Table A-1 lists some of the common conditions you can use in a WHERE clause.

A nested table consists of an ordered set of data elements. The ordered set can be of an object type or an Oracle built-in type. Here s a simple example: SQL> CREATE TYPE lineitem_table AS TABLE OF lineitem; To access the elements of a collection with SQL, you can use the TABLE operator, as shown in the following example. Here, history is a nested table and courses is the column you want to insert data into:

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SQL> INSERT INTO TABLE(SELECT courses FROM department WHERE name = 'History') VALUES('Modern India');

Here are some examples of using the WHERE clause: SQL> SQL> SQL> SQL> SQL> SQL> SELECT SELECT SELECT SELECT SELECT SELECT employee_id employee_id employee_id employee_id employee_id employee_id WHERE WHERE WHERE WHERE WHERE WHERE salary salary salary salary salary salary = 50000; < 50000; > 50000; <= 50000; >= 50000; ! 50000;

You can create not just types, but also type hierarchies, which consist of parent supertypes and child subtypes connected to the parent types by inheritance. Here s an example of how you can create a subtype from a supertype. First, create the supertype: SQL> CREATE TYPE person_t AS OBJECT ( name varchar2(80), social_sec_no number, hire_date date, member function age() RETURN number, member function print() RETURN varchar2) NOT FINAL; Next, create the subtype, which will inherit all the attributes and methods from its supertype: SQL> CREATE TYPE employee_t UNDER person_t (salary number, commission number, member function wages () RETURN number, OVERRIDING member function print () RETURN varchar2);

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