
5 种创建型模式7 种结构型模式11 种行为型模式定义
封装起来,使它们可以相互替换,且算法的变化不会影响使用算法的客户策略模式的主要角色如下:
促销活动
类图如下:

代码如下:
public interface Strategy {
void show();
}//为春节准备的促销活动A
public class StrategyA implements Strategy {
public void show() {
System.out.println("买一送一");
}
}
//为中秋准备的促销活动B
public class StrategyB implements Strategy {
public void show() {
System.out.println("满200元减50元");
}
}
//为圣诞准备的促销活动C
public class StrategyC implements Strategy {
public void show() {
System.out.println("满1000元加一元换购任意200元以下商品");
}
}public class SalesMan {
//聚合策略类对象
private Strategy strategy;
public SalesMan(Strategy strategy) {
this.strategy = strategy;
}
public void setStrategy(Strategy strategy) {
this.strategy = strategy;
}
//由促销员展示促销活动给用户
public void salesManShow() {
strategy.show();
}
}public class Client {
public static void main(String[] args) {
//春节来了,使用春节促销活动
SalesMan salesMan = new SalesMan(new StrategyA());
//展示促销活动
salesMan.salesManShow();
System.out.println("==============");
//中秋节到了,使用中秋节的促销活动
salesMan.setStrategy(new StrategyB());
//展示促销活动
salesMan.salesManShow();
System.out.println("==============");
//圣诞节到了,使用圣诞节的促销活动
salesMan.setStrategy(new StrategyC());
//展示促销活动
salesMan.salesManShow();
}
}优点
实现同一个接口,所以使它们之间可以自由切换缺点
Comparator 中的策略模式sort() 方法,如下:public class Arrays{
public static <T> void sort(T[] a, Comparator<? super T> c) {
if (c == null) {
sort(a);
} else {
if (LegacyMergeSort.userRequested)
legacyMergeSort(a, c);
else
TimSort.sort(a, 0, a.length, c, null, 0, 0);
}
}
}public class demo {
public static void main(String[] args) {
Integer[] data = {12, 2, 3, 2, 4, 5, 1};
// 实现降序排序
Arrays.sort(data, new Comparator<Integer>() {
public int compare(Integer o1, Integer o2) {
return o2 - o1;
}
});
System.out.println(Arrays.toString(data)); //[12, 5, 4, 3, 2, 2, 1]
}
}compare() 方法吗?sort() 方法class TimSort<T> {
static <T> void sort(T[] a, int lo, int hi, Comparator<? super T> c,
T[] work, int workBase, int workLen) {
assert c != null && a != null && lo >= 0 && lo <= hi && hi <= a.length;
int nRemaining = hi - lo;
if (nRemaining < 2)
return; // Arrays of size 0 and 1 are always sorted
// If array is small, do a "mini-TimSort" with no merges
if (nRemaining < MIN_MERGE) {
int initRunLen = countRunAndMakeAscending(a, lo, hi, c);
binarySort(a, lo, hi, lo + initRunLen, c);
return;
}
...
}
private static <T> int countRunAndMakeAscending(T[] a, int lo, int hi,Comparator<? super T> c) {
assert lo < hi;
int runHi = lo + 1;
if (runHi == hi)
return 1;
// Find end of run, and reverse range if descending
if (c.compare(a[runHi++], a[lo]) < 0) { // Descending
while (runHi < hi && c.compare(a[runHi], a[runHi - 1]) < 0)
runHi++;
reverseRange(a, lo, runHi);
} else { // Ascending
while (runHi < hi && c.compare(a[runHi], a[runHi - 1]) >= 0)
runHi++;
}
return runHi - lo;
}
}countRunAndMakeAscending() 这个方法中