Encapsulation - Because each user-defined data type exist as a complete entity, including the data definitions, default values, and value constraints, this entity insures uniformity and consistency. Once defined, a user-defined data type may participate in many other user-defined data types, such that the same logical data type, always has the same definition, default values and value constraints, regardless of where it appears in the database.
Reusability - As a hierarchy of common data structures are assembled, these can be re-used within many definitions, saving coding time and insuring uniformity.
Flexibility - The ability to create real-world data representations of data allows the database object designer to model the real world as it exists.
As you can see there are many compelling reasons to have user-defined data typing, provided that the data types are properly analyzed and incorporated into the database object model. Let's take a look at some of the implementation issues that relate to the object model and data typing.
Nesting of user-defined data types
Now lets take this concept one step further and consider how user-defined data types can be nested within other data types. A basic example, would be to create a data type that would encapsulate all of the data in a table:
CREATE TYPE customer_stuff (
full_name customer_name,
home_address customer_address
business_address customer_address);
With the customer_stuff type defined, table definition becomes simple:
CREATE TABLE CUSTOMER (customer_data customer_stuff);
Using this type of user-defined data type we are essentially duplicating the object-oriented concept of encapsulation. That is, we are placing groups of related data types into a container that is completely self-contained and has the full authority of the innate relational data types such as int and char.
Select customer_stuff.customer_name.zip_code
from customer
where customer_stuff.customer_name.zip_code like '144%';
Manipulating ADT's
In many object databases it is possible to directly retrieve and pass an abstract data type. While this is a matter of convenience for most programmers, there are some very useful applications of this technique, especially for the object/relational databases. In object/relational databases, ADT's can be directly retrieved and used inside other tables. In the following Oracle example, a new table called good_customer is created by retrieving the entire ADT from the customer table
Abstract data types does not have any maximum reservable memory allocation size and also has no limit in storing the size and types of variables like primitive data types.
They can stores all the characters of Unicode and also allocate space in memory according to the size of the variable given by the user each time.
Because there is no existing type of data that can be used for that purpose.
All built-in data types are not abstract data types.
Abstract,etc
What are language design requirements for languages that support abstract data types ---- Is something that you will find in your text book or ask your teacher. WikiAnswers cannot do your homework for you.
All data types can be used to store a whole number, even the data types that can store a decimal number.
Abstract Data Type in computing is a set of data along with a set of predefined operations.The actual data inside the ADT is protected from direct manipulation. The exposed operations is the only way to manipulate the data.In easier terms, it is very much like (though not limited) to the objects in object oriented programming.
All built-in data types are not abstract data types.
Abstract,etc
Daniel F. Stubbs has written: 'Data structures with abstract data types and Ada' -- subject(s): Abstract data types (Computer science), Ada (Computer program language), Data structures (Computer science)
Abstract data types or abstract base classes.
The benefits of using data protection solutions is it backs up your data in an efficient way. It is easier to recover data quickly in case of a disaster.
Reinhold Friedrich Hille has written: 'Data Abstraction and Program Development Using Modula Two' 'Data abstraction and program development using Pascal' -- subject(s): Abstract data types (Computer science), Computer programming
No reason. It is not even true.
tree
Fidelity of data
What are language design requirements for languages that support abstract data types ---- Is something that you will find in your text book or ask your teacher. WikiAnswers cannot do your homework for you.
It reads data fast and accurate. Data can be input easy.
It reads data fast and accurate. Data can be input easy.