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finally { JDBCUtil.close( pstmt ); } } } Now that you know how to use the SQLData interface and the Oracle extension interfaces ORAData and ORADataFactory, let s compare the two approaches.

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);

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

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In this section, we ll highlight the differences between the SQLData and ORAData interfaces. Note that there may be times when you have to use ORAData for example, if you want to create a custom class for a nonstandard Oracle-specific type. In practice, there are no major advantages or disadvantages to using either approach. The main advantage of using the SQLData interface, at least in theory, is that it is a JDBC standard and makes your Java code more portable across databases. However, at the time of this writing, the implementation and use of objects in different databases varies so much that the majority of such code contains vendor-dependent code anyway. Using the ORAData and ORADataFactory interfaces, on the other hand, has the following advantages (none of which is really earth-shattering): The ORAData interface has more flexibility than the SQLData interface. It lets you provide a mapping between Java object types and any SQL type supported by the oracle.sql package. For example, you can use it if you want to create a custom class for a nonstandard Oracle-specific type such as oracle.sql.BFILE. The ORAData interface does not require a type map to map the object type to Java classes. According to the documentation, using the ORAData interface leads to better performance since ORAData works directly with the internal format the driver uses to hold Oracle objects. This means there is no conversion required to hold the data. The tests I conducted to verify this statement were not conclusive, as in some cases, I actually found SQLData to be faster. So my advice is that you should use this criterion for choosing between the two approaches in your application only after running appropriate benchmarks in the context of your application.

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);

The CAST operator enables you to do two things. It lets you convert built-in data types and also convert a collection-type value into another collection-type value. Here s an example of using CAST with built-in data types: SQL> SELECT product_id, CAST(description AS VARCHAR2(30)) FROM product_desc;

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