在阎宏博士的《JAVA与模式》一书中开头是这样描述命令(Command)模式的:
命令模式属于对象的行为模式。命令模式又称为行动(Action)模式或交易(Transaction)模式。
命令模式把一个请求或者操作封装到一个对象中。命令模式允许系统使用不同的请求把客户端参数化,对请求排队或者记录请求日志,可以提供命令的撤销和恢复功能。
命令模式的结构
命令模式是对命令的封装。命令模式把发出命令的责任和执行命令的责任分割开,委派给不同的对象。
每一个命令都是一个操作:请求的一方发出请求要求执行一个操作;接收的一方收到请求,并执行操作。命令模式允许请求的一方和接收的一方独立开来,使得请求的一方不必知道接收请求的一方的接口,更不必知道请求是怎么被接收,以及操作是否被执行、何时被执行,以及是怎么被执行的。
命令允许请求的一方和接收请求的一方能够独立演化,从而具有以下的优点:
(1)命令模式使新的命令很容易地被加入到系统里。
(2)允许接收请求的一方决定是否要否决请求。
(3)能较容易地设计一个命令队列。
(4)可以容易地实现对请求的撤销和恢复。
(5)在需要的情况下,可以较容易地将命令记入日志。
下面以一个示意性的系统,说明命令模式的结构。
命令模式涉及到五个角色,它们分别是:
● 客户端(Client)角色:创建一个具体命令(ConcreteCommand)对象并确定其接收者。
● 命令(Command)角色:声明了一个给所有具体命令类的抽象接口。
● 具体命令(ConcreteCommand)角色:定义一个接收者和行为之间的弱耦合;实现execute()方法,负责调用接收者的相应操作。execute()方法通常叫做执行方法。
● 请求者(Invoker)角色:负责调用命令对象执行请求,相关的方法叫做行动方法。
● 接收者(Receiver)角色:负责具体实施和执行一个请求。任何一个类都可以成为接收者,实施和执行请求的方法叫做行动方法。
源代码
接收者角色类
public class Receiver {
/**
* 真正执行命令相应的操作
*/
public void action(){
System.out.println("执行操作");
}
}
抽象命令角色类
public interface Command {
/**
* 执行方法
*/
void execute();
}
具体命令角色类
public class ConcreteCommand implements Command {
//持有相应的接收者对象
private Receiver receiver = null;
/**
* 构造方法
*/
public ConcreteCommand(Receiver receiver){
this.receiver = receiver;
}
@Override
public void execute() {
//通常会转调接收者对象的相应方法,让接收者来真正执行功能
receiver.action();
} }
请求者角色类
public class Invoker {
/**
* 持有命令对象
*/
private Command command = null;
/**
* 构造方法
*/
public Invoker(Command command){
this.command = command;
}
/**
* 行动方法
*/
public void action(){ command.execute();
}
}
客户端角色类
public class Client { public static void main(String[] args) {
//创建接收者
Receiver receiver = new Receiver();
//创建命令对象,设定它的接收者
Command command = new ConcreteCommand(receiver);
//创建请求者,把命令对象设置进去
Invoker invoker = new Invoker(command);
//执行方法
invoker.action();
} }
AudioPlayer系统
小女孩茱丽(Julia)有一个盒式录音机,此录音机有播音(Play)、倒带(Rewind)和停止(Stop)功能,录音机的键盘便是请求者(Invoker)角色;茱丽(Julia)是客户端角色,而录音机便是接收者角色。Command类扮演抽象命令角色,而PlayCommand、StopCommand和RewindCommand便是具体命令类。茱丽(Julia)不需要知道播音(play)、倒带(rewind)和停止(stop)功能是怎么具体执行的,这些命令执行的细节全都由键盘(Keypad)具体实施。茱丽(Julia)只需要在键盘上按下相应的键便可以了。
录音机是典型的命令模式。录音机按键把客户端与录音机的操作细节分割开来。
源代码
接收者角色,由录音机类扮演
public class AudioPlayer { public void play(){
System.out.println("播放...");
} public void rewind(){
System.out.println("倒带...");
} public void stop(){
System.out.println("停止...");
}
}
抽象命令角色类
public interface Command {
/**
* 执行方法
*/
public void execute();
}
具体命令角色类
public class PlayCommand implements Command { private AudioPlayer myAudio; public PlayCommand(AudioPlayer audioPlayer){
myAudio = audioPlayer;
}
/**
* 执行方法
*/
@Override
public void execute() {
myAudio.play();
} }
public class RewindCommand implements Command { private AudioPlayer myAudio; public RewindCommand(AudioPlayer audioPlayer){
myAudio = audioPlayer;
}
@Override
public void execute() {
myAudio.rewind();
} }
public class StopCommand implements Command {
private AudioPlayer myAudio; public StopCommand(AudioPlayer audioPlayer){
myAudio = audioPlayer;
}
@Override
public void execute() {
myAudio.stop();
} }
请求者角色,由键盘类扮演
public class Keypad {
private Command playCommand;
private Command rewindCommand;
private Command stopCommand; public void setPlayCommand(Command playCommand) {
this.playCommand = playCommand;
}
public void setRewindCommand(Command rewindCommand) {
this.rewindCommand = rewindCommand;
}
public void setStopCommand(Command stopCommand) {
this.stopCommand = stopCommand;
}
/**
* 执行播放方法
*/
public void play(){
playCommand.execute();
}
/**
* 执行倒带方法
*/
public void rewind(){
rewindCommand.execute();
}
/**
* 执行播放方法
*/
public void stop(){
stopCommand.execute();
}
}
客户端角色,由茱丽小女孩扮演
public class Julia {
public static void main(String[]args){
//创建接收者对象
AudioPlayer audioPlayer = new AudioPlayer();
//创建命令对象
Command playCommand = new PlayCommand(audioPlayer);
Command rewindCommand = new RewindCommand(audioPlayer);
Command stopCommand = new StopCommand(audioPlayer);
//创建请求者对象
Keypad keypad = new Keypad();
keypad.setPlayCommand(playCommand);
keypad.setRewindCommand(rewindCommand);
keypad.setStopCommand(stopCommand);
//测试
keypad.play();
keypad.rewind();
keypad.stop();
keypad.play();
keypad.stop();
}
}
运行结果如下:aaarticlea/png;base64,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alt="" />
宏命令
所谓宏命令简单点说就是包含多个命令的命令,是一个命令的组合。
设想茱丽的录音机有一个记录功能,可以把一个一个的命令记录下来,再在任何需要的时候重新把这些记录下来的命令一次性执行,这就是所谓的宏命令集功能。因此,茱丽的录音机系统现在有四个键,分别为播音、倒带、停止和宏命令功能。此时系统的设计与前面的设计相比有所增强,主要体现在Julia类现在有了一个新方法,用以操作宏命令键。
源代码
系统需要一个代表宏命令的接口,以定义出具体宏命令所需要的接口。
public interface MacroCommand extends Command {
/**
* 宏命令聚集的管理方法
* 可以添加一个成员命令
*/
public void add(Command cmd);
/**
* 宏命令聚集的管理方法
* 可以删除一个成员命令
*/
public void remove(Command cmd);
}
具体的宏命令MacroAudioCommand类负责把个别的命令合成宏命令。
public class MacroAudioCommand implements MacroCommand { private List<Command> commandList = new ArrayList<Command>();
/**
* 宏命令聚集管理方法
*/
@Override
public void add(Command cmd) {
commandList.add(cmd);
}
/**
* 宏命令聚集管理方法
*/
@Override
public void remove(Command cmd) {
commandList.remove(cmd);
}
/**
* 执行方法
*/
@Override
public void execute() {
for(Command cmd : commandList){
cmd.execute();
}
} }
客户端类Julia
public class Julia { public static void main(String[]args){
//创建接收者对象
AudioPlayer audioPlayer = new AudioPlayer();
//创建命令对象
Command playCommand = new PlayCommand(audioPlayer);
Command rewindCommand = new RewindCommand(audioPlayer);
Command stopCommand = new StopCommand(audioPlayer); MacroCommand marco = new MacroAudioCommand(); marco.add(playCommand);
marco.add(rewindCommand);
marco.add(stopCommand);
marco.execute();
}
}
运行结果如下:aaarticlea/png;base64,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命令模式的优点
● 更松散的耦合
命令模式使得发起命令的对象——客户端,和具体实现命令的对象——接收者对象完全解耦,也就是说发起命令的对象完全不知道具体实现对象是谁,也不知道如何实现。
● 更动态的控制
命令模式把请求封装起来,可以动态地对它进行参数化、队列化和日志化等操作,从而使得系统更灵活。
● 很自然的复合命令
命令模式中的命令对象能够很容易地组合成复合命令,也就是宏命令,从而使系统操作更简单,功能更强大。
● 更好的扩展性
由于发起命令的对象和具体的实现完全解耦,因此扩展新的命令就很容易,只需要实现新的命令对象,然后在装配的时候,把具体的实现对象设置到命令对象中,然后就可以使用这个命令对象,已有的实现完全不用变化。
原文地址:《JAVA与模式》之命令模式