One of the most critical tasks that applications have to perform is
to save and restore data. Whether it be a word processing application
that saves documents to disk, a utility that remembers its configuration
for next time, or a game that sets aside world domination for the night,
the ability to store data and later retrieve it is a vital one. Without
it, software would be little more effective that the typewriter - users
would have to re-type the data to make further modifications once the
application exits.
Writing the code for saving data, however, can become boring repetitive
work. First, the programmer must create a specification document for the
proposed file structure. Next, the programmer must implement save and
restore functions that convert object data to & from
primitive data types, and test it with sample data.
If the application later requires new data to be stored, the file
specification must be modified, as well as the save and restore methods. Take it from someone who's been there -
creating save & restore functions is not a fun task.
The solution to this is object serialization.
Object serialization takes an object's state, and converts it to a
stream of data for you. With object serialization, its an easy task to
take any object, and make it persistent, without writing custom code to
save object member variables. The object can be restored at a later
time, and even a later location. With persistence, we can move an object
from one computer to another, and have it maintain its state. This very
cool feature, in Java, also happens to be very easy to use.
Serializing
Objects
Java makes it easy to serialize objects. Any object
whose class implements the java.io.Serializable interface can be made
persistent with only a few lines of code. No extra methods need to be
added to implement the interface, however - the purpose of the interface
is to identify at run-time which classes can be safely serialized, and
which cannot. You, as a programmer, need only add the implements keyword
to your class declaration, to identify your classes as serializable.
public class UserData implements
java.io.Serializable
Now, once a class is serializable, we can write the object to any
OutputStream, such as to disk or a socket connection. To achieve this,
we must first create an instance of java.io.ObjectOutputStream, and pass
the constructor an existing OutputStream instance.
// Write to disk with FileOutputStream
FileOutputStream f_out = new
FileOutputStream("myobject.data");
// Write object with ObjectOutputStream
ObjectOutputStream obj_out = new
ObjectOutputStream (f_out);
// Write object out to disk
obj_out.writeObject ( myObject );
Note that any Java object that implements the serializable interface
can be written to an output stream this way - including those that are
part of the Java API. Furthermore, any objects that are referenced by a serialized
object will also be stored. This means that arrays, vectors, lists, and
collections of objects can be saved in the same fashion - without the
need to manually save each one. This can lead to significant time and
code savings.
Restoring Objects From a Serialized State
Reading objects back is almost as easy. The one catch is that at
runtime, you can never be completely sure what type of data to expect. A
data stream containing serialized objects may contain a mixture of
different object classes, so you need to explicitly cast an object to a
particular class. If you've never cast an object before, the procedure
is relatively straightforward. First check the object's class, using the
instanceof operator. Then cast to the correct class.
// Read from disk using FileInputStream
FileInputStream f_in = new
FileInputStream("myobject.data");
// Read object using ObjectInputStream
ObjectInputStream obj_in =
new ObjectInputStream (f_in);
// Read an object
Object obj = obj_in.readObject();
if (obj instanceof Vector)
{
// Cast object to a Vector
Vector vec = (Vector) obj;
// Do something with vector....
}
Further Issues With Serialization
As you can see, its relatively easy to serialize an object. Whenever
new fields are added to an object, they will be saved automatically,
without requiring modification to your save and restore code. However,
there are some cases where this behavior is not desirable. For example,
a password member variable might not be safe to transmit to third
parties over a network connection, and might need to be left blank. In
this case, the transient keyword can be used. The
transient field indicates that a particular member variable should not
be saved. Though not used often, it's an important keyword to remember.
public class UserSession implements
java.io.Serializable
{
String username;
transient String password;
}
Summary
Java's support for object serialization makes the implementation of persistent
objects extremely easy. In contrast, the amount of code required to save
and restore every field of an object is complex and repetitive work. While it is certainly possible to write your own
serialization mechanism, the simplicity of that provided by Java would
be hard to beat.
Serialization benefits programmers by
- Reducing time taken to write code for save and restoration of
object or application state
- Eliminating complexity of save and restore operations, and
avoiding the need for creating a new file format
- Making it easier for objects to travel over a network connection.
With relatively little effort, you can apply serialization to a
variety of tasks. Not only do applications benefit from serialization,
but also applets. Rather than specifying a long list of parameters, or
performing time consuming initialization and parsing, an applet can
simple reload a configuration object whose member variables contain all
the information needed to execute. It's not just useful for Java applications - even
applets can benefit, by loading their configuration details or
parameters. With a little imagination, serialization may just have a
place in your next project.
