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    Related Links to Multiple Threads. Responsive user interfaces
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    Multiple Threads. Responsive user interfaces
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    Computer Technologies  Programming Languages  Java Multiple Threads. Responsive user interfaces

    Multiple Threads

    Multiple Threads

    Objects provide a way to divide a program into independent sections. Often, you also need to turn a program into separate, independently running subtasks.
    Each of these independent subtasks is called a thread, and you program as if each thread runs by itself and has the CPU to itself. Some underlying mechanism is actually dividing up the CPU time for you, but in general, you don’t have to think about it, which makes programming with multiple threads a much easier task.
    A process is a self-contained running program with its own address space. A multitasking operating system is capable of running more than one process (program) at a time, while making it look like each one is chugging along on its own, by periodically providing CPU cycles to each process. A thread is a single sequential flow of control within a process. A single process can thus have multiple concurrently executing threads.
    There are many possible uses for multithreading, but in general, you’ll have some part of your program tied to a particular event or resource, and you don’t want to hang up the rest of your program because of that. So you create a thread associated with that event or resource and let it run independently of the main program. A good example is a “quit” button—you don’t want to be forced to poll the quit button in every piece of code you write in your program and yet you want the quit button to be responsive, as if you were checking it regularly. In fact, one of the most immediately compelling reasons for multithreading is to produce a responsive user interface.

    Responsive user interfaces

    As a starting point, consider a program that performs some CPU-intensive operation and thus ends up ignoring user input and being unresponsive. This one, a combined applet/application, will simply display the result of a running counter:
    //: c14:Counter1.java
    // A non-responsive user interface.
    // <applet code=Counter1 width=300 height=100>
    // </applet>
    import javax.swing.*;
    import java.awt.event.*;
    import java.awt.*;
    import com.bruceeckel.swing.*;

    public class Counter1 extends JApplet {
    private int count = 0;
    private JButton
    start = new JButton("Start"),
    onOff = new JButton("Toggle");
    private JTextField t = new JTextField(10);
    private boolean runFlag = true;
    public void init() {
    Container cp = getContentPane();
    cp.setLayout(new FlowLayout());
    cp.add(t);
    start.addActionListener(new StartL());
    cp.add(start);
    onOff.addActionListener(new OnOffL());
    cp.add(onOff);
    }
    public void go() {
    while (true) {
    try {
    Thread.sleep(100);
    } catch(InterruptedException e) {
    System.err.println("Interrupted");
    }
    if (runFlag)
    t.setText(Integer.toString(count++));
    }
    }
    class StartL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    go();
    }
    }
    class OnOffL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    runFlag = !runFlag;
    }
    }
    public static void main(String[] args) {
    Console.run(new Counter1(), 300, 100);
    }
    } ///:~
    At this point, the Swing and applet code should be reasonably familiar from Chapter 13. The go( ) method is where the program stays busy: it puts the current value of count into the JTextField t, then increments count.
    Part of the infinite loop inside go( ) is to call sleep( ). sleep( ) must be associated with a Thread object, and it turns out that every application has some thread associated with it. (Indeed, Java is based on threads and there are always some running along with your application.) So regardless of whether you’re explicitly using threads, you can produce the current thread used by your program with Thread and the static sleep( ) method.
    Note that sleep( ) can throw an InterruptedException, although throwing such an exception is considered a hostile way to break from a thread and should be discouraged. (Once again, exceptions are for exceptional conditions, not normal flow of control.) Interrupting a sleeping thread is included to support a future language feature.
    When the start button is pressed, go( ) is invoked. On examining go( ), you might naively think (as I did) that it should allow multithreading because it goes to sleep. That is, while the method is asleep, it seems like the CPU could be busy monitoring other button presses. But it turns out that the real problem is that go( ) never returns, since it’s in an infinite loop, and this means that actionPerformed( ) never returns. Since you’re stuck inside actionPerformed( ) for the first keypress, the program can’t handle any other events. (To get out, you must somehow kill the process; the easiest way to do this is to press Control-C in the console window, if you started it from the console. If you start it via the browser, you have to kill the browser window.)
    The basic problem here is that go( ) needs to continue performing its operations, and at the same time it needs to return so that actionPerformed( ) can complete and the user interface can continue responding to the user. But in a conventional method like go( ) it cannot continue and at the same time return control to the rest of the program. This sounds like an impossible thing to accomplish, as if the CPU must be in two places at once, but this is precisely the illusion that threading provides.
    The thread model (and its programming support in Java) is a programming convenience to simplify juggling several operations at the same time within a single program. With threads, the CPU will pop around and give each thread some of its time. Each thread has the consciousness of constantly having the CPU to itself, but the CPU’s time is actually sliced between all the threads. The exception to this is if your program is running on multiple CPUs. But one of the great things about threading is that you are abstracted away from this layer, so your code does not need to know whether it is actually running on a single CPU or many. Thus, threads are a way to create transparently scalable programs.
    Threading reduces computing efficiency somewhat, but the net improvement in program design, resource balancing, and user convenience is often quite valuable. Of course, if you have more than one CPU, then the operating system can dedicate each CPU to a set of threads or even a single thread and the whole program can run much faster. Multitasking and multithreading tend to be the most reasonable ways to utilize multiprocessor systems.

    Inheriting from Thread

    The simplest way to create a thread is to inherit from class Thread, which has all the wiring necessary to create and run threads. The most important method for Thread is run( ), which you must override to make the thread do your bidding. Thus, run( ) is the code that will be executed “simultaneously” with the other threads in a program.
    The following example creates any number of threads that it keeps track of by assigning each thread a unique number, generated with a static variable. The Thread’s run( ) method is overridden to count down each time it passes through its loop and to finish when the count is zero (at the point when run( ) returns, the thread is terminated).
    //: c14:SimpleThread.java
    // Very simple Threading example.

    public class SimpleThread extends Thread {
    private int countDown = 5;
    private static int threadCount = 0;
    private int threadNumber = ++threadCount;
    public SimpleThread() {
    System.out.println("Making " + threadNumber);
    }
    public void run() {
    while(true) {
    System.out.println("Thread " +
    threadNumber + "(" + countDown + ")");
    if(--countDown == 0) return;
    }
    }
    public static void main(String[] args) {
    for(int i = 0; i < 5; i++)
    new SimpleThread().start();
    System.out.println("All Threads Started");
    }
    } ///:~
    A run( ) method virtually always has some kind of loop that continues until the thread is no longer necessary, so you must establish the condition on which to break out of this loop (or, in the case above, simply return from run( )). Often, run( ) is cast in the form of an infinite loop, which means that, barring some external factor that causes run( ) to terminate, it will continue forever.
    In main( ) you can see a number of threads being created and run. The start( ) method in the Thread class performs special initialization for the thread and then calls run( ). So the steps are: the constructor is called to build the object, then start( ) configures the thread and calls run( ). If you don’t call start( ) (which you can do in the constructor, if that’s appropriate) the thread will never be started.
    The output for one run of this program (it will be different from one run to another) is:
    Making 1
    Making 2
    Making 3
    Making 4
    Making 5
    Thread 1(5)
    Thread 1(4)
    Thread 1(3)
    Thread 1(2)
    Thread 2(5)
    Thread 2(4)
    Thread 2(3)
    Thread 2(2)
    Thread 2(1)
    Thread 1(1)
    All Threads Started
    Thread 3(5)
    Thread 4(5)
    Thread 4(4)
    Thread 4(3)
    Thread 4(2)
    Thread 4(1)
    Thread 5(5)
    Thread 5(4)
    Thread 5(3)
    Thread 5(2)
    Thread 5(1)
    Thread 3(4)
    Thread 3(3)
    Thread 3(2)
    Thread 3(1)
    You’ll notice that nowhere in this example is sleep( ) called, and yet the output indicates that each thread gets a portion of the CPU’s time in which to execute. This shows that sleep( ), while it relies on the existence of a thread in order to execute, is not involved with either enabling or disabling threading. It’s simply another method.
    You can also see that the threads are not run in the order that they’re created. In fact, the order that the CPU attends to an existing set of threads is indeterminate, unless you go in and adjust the priorities using Thread’s setPriority( ) method.
    When main( ) creates the Thread objects it isn’t capturing the references for any of them. An ordinary object would be fair game for garbage collection, but not a Thread. Each Thread “registers” itself so there is actually a reference to it someplace and the garbage collector can’t clean it up.

    Threading for a responsive interface

    Now it’s possible to solve the problem in Counter1.java with a thread. The trick is to place the subtask—that is, the loop that’s inside go( )—inside the run( ) method of a thread. When the user presses the start button, the thread is started, but then the creation of the thread completes, so even though the thread is running, the main job of the program (watching for and responding to user-interface events) can continue. Here’s the solution:
    //: c14:Counter2.java
    // A responsive user interface with threads.
    // <applet code=Counter2 width=300 height=100>
    // </applet>
    import javax.swing.*;
    import java.awt.*;
    import java.awt.event.*;
    import com.bruceeckel.swing.*;

    public class Counter2 extends JApplet {
    private class SeparateSubTask extends Thread {
    private int count = 0;
    private boolean runFlag = true;
    SeparateSubTask() { start(); }
    void invertFlag() { runFlag = !runFlag; }
    public void run() {
    while (true) {
    try {
    sleep(100);
    } catch(InterruptedException e) {
    System.err.println("Interrupted");
    }
    if(runFlag)
    t.setText(Integer.toString(count++));
    }
    }
    }
    private SeparateSubTask sp = null;
    private JTextField t = new JTextField(10);
    private JButton
    start = new JButton("Start"),
    onOff = new JButton("Toggle");
    class StartL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    if(sp == null)
    sp = new SeparateSubTask();
    }
    }
    class OnOffL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    if(sp != null)
    sp.invertFlag();
    }
    }
    public void init() {
    Container cp = getContentPane();
    cp.setLayout(new FlowLayout());
    cp.add(t);
    start.addActionListener(new StartL());
    cp.add(start);
    onOff.addActionListener(new OnOffL());
    cp.add(onOff);
    }
    public static void main(String[] args) {
    Console.run(new Counter2 (), 300, 100);
    }
    } ///:~
    Counter2 is a straightforward program, whose only job is to set up and maintain the user interface. But now, when the user presses the start button, the event-handling code does not call a method. Instead a thread of class SeparateSubTask is created, and then the Counter2 event loop continues.
    The class SeparateSubTask is a simple extension of Thread with a constructor that runs the thread by calling start( ), and a run( ) that essentially contains the “go( )” code from Counter1.java.
    Because SeparateSubTask is an inner class, it can directly access the JTextField t in Counter2; you can see this happening inside run( ). The t field in the outer class is private since SeparateSubTask can access it without getting any special permission—and it’s always good to make fields “as private as possible” so they cannot be accidentally changed by forces outside your class.
    When you press the onOff button it toggles the runFlag inside the SeparateSubTask object. That thread (when it looks at the flag) can then start and stop itself. Pressing the onOff button produces an apparently instant response. Of course, the response isn’t really instant, not like that of a system that’s driven by interrupts. The counter stops only when the thread has the CPU and notices that the flag has changed.
    You can see that the inner class SeparateSubTask is private, which means that its fields and methods can be given default access (except for run( ), which must be public since it is public in the base class). The private inner class is not accessible to anyone but Counter2, and the two classes are tightly coupled. Anytime you notice classes that appear to have high coupling with each other, consider the coding and maintenance improvements you might get by using inner classes.

    Combining the thread
    with the main class

    In the example above you can see that the thread class is separate from the program’s main class. This makes a lot of sense and is relatively easy to understand. There is, however, an alternate form that you will often see used that is not so clear but is usually more concise (which probably accounts for its popularity). This form combines the main program class with the thread class by making the main program class a thread. Since for a GUI program the main program class must be inherited from either Frame or Applet, an interface must be used to paste on the additional functionality. This interface is called Runnable, and it contains the same basic method that Thread does. In fact, Thread also implements Runnable, which specifies only that there be a run( ) method.
    The use of the combined program/thread is not quite so obvious. When you start the program, you create an object that’s Runnable, but you don’t start the thread. This must be done explicitly. You can see this in the following program, which reproduces the functionality of Counter2:
    //: c14:Counter3.java
    // Using the Runnable interface to turn the
    // main class into a thread.
    // <applet code=Counter3 width=300 height=100>
    // </applet>
    import javax.swing.*;
    import java.awt.*;
    import java.awt.event.*;
    import com.bruceeckel.swing.*;

    public class Counter3
    extends JApplet implements Runnable {
    private int count = 0;
    private boolean runFlag = true;
    private Thread selfThread = null;
    private JButton
    start = new JButton("Start"),
    onOff = new JButton("Toggle");
    private JTextField t = new JTextField(10);
    public void run() {
    while (true) {
    try {
    selfThread.sleep(100);
    } catch(InterruptedException e) {
    System.err.println("Interrupted");
    }
    if(runFlag)
    t.setText(Integer.toString(count++));
    }
    }
    class StartL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    if(selfThread == null) {
    selfThread = new Thread(Counter3.this);
    selfThread.start();
    }
    }
    }
    class OnOffL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    runFlag = !runFlag;
    }
    }
    public void init() {
    Container cp = getContentPane();
    cp.setLayout(new FlowLayout());
    cp.add(t);
    start.addActionListener(new StartL());
    cp.add(start);
    onOff.addActionListener(new OnOffL());
    cp.add(onOff);
    }
    public static void main(String[] args) {
    Console.run(new Counter3(), 300, 100);
    }
    } ///:~
    Now the run( ) is inside the class, but it’s still dormant after init( ) completes. When you press the start button, the thread is created (if it doesn’t already exist) in the somewhat obscure expression:
    new Thread(Counter3.this);
    When something has a Runnable interface, it simply means that it has a run( ) method, but there’s nothing special about that—it doesn’t produce any innate threading abilities, like those of a class inherited from Thread. So to produce a thread from a Runnable object, you must create a separate Thread object as shown above, handing the Runnable object to the special Thread constructor. You can then call start( ) for that thread:
    selfThread.start();
    This performs the usual initialization and then calls run( ).
    The convenient aspect about the Runnable interface is that everything belongs to the same class. If you need to access something, you simply do it without going through a separate object. However, as you saw in the previous example, this access is just as easy using an inner class.

    Making many threads

    Consider the creation of many different threads. You can’t do this with the previous example, so you must go back to having separate classes inherited from Thread to encapsulate the run( ). But this is a more general solution and easier to understand, so while the previous example shows a coding style you’ll often see, I can’t recommend it for most cases because it’s just a little bit more confusing and less flexible.
    The following example repeats the form of the examples above with counters and toggle buttons. But now all the information for a particular counter, including the button and text field, is inside its own object that is inherited from Thread. All the fields in Ticker are private, which means that the Ticker implementation can be changed at will, including the quantity and type of data components to acquire and display information. When a Ticker object is created, the constructor adds its visual components to the content pane of the outer object:
    //: c14:Counter4.java
    // By keeping your thread as a distinct class,
    // you can have as many threads as you want.
    // <applet code=Counter4 width=200 height=600>
    // <param name=size value="12"></applet>
    import javax.swing.*;
    import java.awt.*;
    import java.awt.event.*;
    import com.bruceeckel.swing.*;

    public class Counter4 extends JApplet {
    private JButton start = new JButton("Start");
    private boolean started = false;
    private Ticker[] s;
    private boolean isApplet = true;
    private int size = 12;
    class Ticker extends Thread {
    private JButton b = new JButton("Toggle");
    private JTextField t = new JTextField(10);
    private int count = 0;
    private boolean runFlag = true;
    public Ticker() {
    b.addActionListener(new ToggleL());
    JPanel p = new JPanel();
    p.add(t);
    p.add(b);
    // Calls JApplet.getContentPane().add():
    getContentPane().add(p);
    }
    class ToggleL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    runFlag = !runFlag;
    }
    }
    public void run() {
    while (true) {
    if (runFlag)
    t.setText(Integer.toString(count++));
    try {
    sleep(100);
    } catch(InterruptedException e) {
    System.err.println("Interrupted");
    }
    }
    }
    }
    class StartL implements ActionListener {
    public void actionPerformed(ActionEvent e) {
    if(!started) {
    started = true;
    for (int i = 0; i < s.length; i++)
    s[i].start();
    }
    }
    }
    public void init() {
    Container cp = getContentPane();
    cp.setLayout(new FlowLayout());
    // Get parameter "size" from Web page:
    if (isApplet) {
    String sz = getParameter("size");
    if(sz != null)
    size = Integer.parseInt(sz);
    }
    s = new Ticker[size];
    for (int i = 0; i < s.length; i++)
    s[i] = new Ticker();
    start.addActionListener(new StartL());
    cp.add(start);
    }
    public static void main(String[] args) {
    Counter4 applet = new Counter4();
    // This isn't an applet, so set the flag and
    // produce the parameter values from args:
    applet.isApplet = false;
    if(args.length != 0)
    applet.size = Integer.parseInt(args[0]);
    Console.run(applet, 200, applet.size * 50);
    }
    } ///:~
    Ticker contains not only its threading equipment but also the way to control and display the thread. You can create as many threads as you want without explicitly creating the windowing components.
    In Counter4 there’s an array of Ticker objects called s. For maximum flexibility, the size of this array is initialized by reaching out into the Web page using applet parameters. Here’s what the size parameter looks like on the page, embedded inside the applet tag:
    <param name=size value="20">
    The param, name, and value are all HTML keywords. name is what you’ll be referring to in your program, and value can be any string, not just something that resolves to a number
    You’ll notice that the determination of the size of the array s is done inside init( ), and not as part of an inline definition of s. That is, you cannot say as part of the class definition (outside of any methods):
    int size = Integer.parseInt(getParameter("size"));
    Ticker[] s = new Ticker[size];
    You can compile this, but you’ll get a strange “null-pointer exception” at run-time. It works fine if you move the getParameter( ) initialization inside of init( ). The applet framework performs the necessary startup to grab the parameters before entering init( ).
    In addition, this code is set up to be either an applet or an application. When it’s an application the size argument is extracted from the command line (or a default value is provided).
    Once the size of the array is established, new Ticker objects are created; as part of the Ticker constructor the button and text field for each Ticker is added to the applet.
    Pressing the start button means looping through the entire array of Tickers and calling start( ) for each one. Remember, start( ) performs necessary thread initialization and then calls run( ) for that thread.
    The ToggleL listener simply inverts the flag in Ticker and when the associated thread next takes note it can react accordingly.
    One value of this example is that it allows you to easily create large sets of independent subtasks and to monitor their behavior. In this case, you’ll see that as the number of subtasks gets larger, your machine will probably show more divergence in the displayed numbers because of the way that the threads are served.
    You can also experiment to discover how important the sleep(100) is inside Ticker.run( ). If you remove the sleep( ), things will work fine until you press a toggle button. Then that particular thread has a false runFlag and the run( ) is just tied up in a tight infinite loop, which appears difficult to break during multithreading, so the responsiveness and speed of the program really bogs down.

    Daemon threads

    A “daemon” thread is one that is supposed to provide a general service in the background as long as the program is running, but is not part of the essence of the program. Thus, when all of the non-daemon threads complete, the program is terminated. Conversely, if there are any non-daemon threads still running, the program doesn’t terminate. (There is, for instance, a thread that runs main( ).)
    You can find out if a thread is a daemon by calling isDaemon( ), and you can turn the “daemonhood” of a thread on and off with setDaemon( ). If a thread is a daemon, then any threads it creates will automatically be daemons.
    The following example demonstrates daemon threads:
    //: c14:Daemons.java
    // Daemonic behavior.
    import java.io.*;

    class Daemon extends Thread {
    private static final int SIZE = 10;
    private Thread[] t = new Thread[SIZE];
    public Daemon() {
    setDaemon(true);
    start();
    }
    public void run() {
    for(int i = 0; i < SIZE; i++)
    t[i] = new DaemonSpawn(i);
    for(int i = 0; i < SIZE; i++)
    System.out.println(
    "t[" + i + "].isDaemon() = "
    + t[i].isDaemon());
    while(true)
    yield();
    }
    }

    class DaemonSpawn extends Thread {
    public DaemonSpawn(int i) {
    System.out.println(
    "DaemonSpawn " + i + " started");
    start();
    }
    public void run() {
    while(true)
    yield();
    }
    }

    public class Daemons {
    public static void main(String[] args)
    throws IOException {
    Thread d = new Daemon();
    System.out.println(
    "d.isDaemon() = " + d.isDaemon());
    // Allow the daemon threads to
    // finish their startup processes:
    System.out.println("Press any key");
    System.in.read();
    }
    } ///:~
    The Daemon thread sets its daemon flag to “true” and then spawns a bunch of other threads to show that they are also daemons. Then it goes into an infinite loop that calls yield( ) to give up control to the other processes. In an earlier version of this program, the infinite loops would increment int counters, but this seemed to bring the whole program to a stop. Using yield( ) makes the program quite peppy.
    There’s nothing to keep the program from terminating once main( ) finishes its job, since there are nothing but daemon threads running. So that you can see the results of starting all the daemon threads, System.in is set up to read so the program waits for a keypress before terminating. Without this you see only some of the results from the creation of the daemon threads. (Try replacing the read( ) code with sleep( ) calls of various lengths to see this behavior.)


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