raf*_*ian 3 java queue priority-queue
实现具有基于1)优先级和2)时间的排序的任务队列,具体地,创建任务的时间或时间戳(未插入队列中),优先考虑具有较旧时间戳的任务.

这是我到目前为止所得到的; 比我想象的要简单得多,不仅仅需要一个PriorityQueue.在比较器中,如果两个优先级相等,则进行另一个比较Task.time,否则,比较基于just Task.priority.
import java.util.Comparator;
import java.util.PriorityQueue;
public class QueueWithPriorityAndTimeSort {
enum TaskPriority {
High, Medium, Low
}
class Task implements Comparable<Task> {
long time;
TaskPriority priority;
Task(TaskPriority p, long t) {
time = t;
priority = p;
}
public int compareTo(Task task2) {
return priority.compareTo(task2.priority);
}
}
class HighPriorityWithTimeComparator implements Comparator<Task> {
public int compare(Task task1, Task task2) {
int compareResult = task1.compareTo(task2);
if( compareResult == 0){
//same priority, now compare on time
if( task2.time < task1.time)
compareResult = 1;
else
compareResult = -1;
}
return compareResult;
}
}
public void buildAndTestQueue(){
PriorityQueue<Task> queue =
new PriorityQueue<Task>(3, new HighPriorityWithTimeComparator());
queue.add(new Task(TaskPriority.High, 9));
queue.add(new Task(TaskPriority.Low, 7));
queue.add(new Task(TaskPriority.Low, 3));
queue.add(new Task(TaskPriority.High, 2));
queue.add(new Task(TaskPriority.Medium, 5));
queue.add(new Task(TaskPriority.Medium, 4));
queue.add(new Task(TaskPriority.High, 6));
queue.add(new Task(TaskPriority.High, 8));
queue.add(new Task(TaskPriority.Low, 15));
queue.add(new Task(TaskPriority.Low, 10));
Task m = null;
while ((m = queue.poll()) != null)
System.out.println(
String.format("Priority: %s, %d", m.priority, m.time));
}
public static void main(String args[]) {
QueueWithPriorityAndTimeSort queueTest =
new QueueWithPriorityAndTimeSort();
queueTest.buildAndTestQueue();
}
}
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这是一种有效的方法吗?我不相信增加的比较器逻辑会改变时间复杂度; 除此之外,我没有看到任何明显的问题.
我的回答将解决您所做的以下评论:
将这些问题分开可以根据特定需求进行分类,从而提高灵活性
有更好的方法可以分离关注点并使代码更加灵活,这样您就可以在不更改代码的情况下更改排序策略.听起来很令人兴奋?
让我们首先定义一个比较器,用于比较优先级:
class HighPriorityComparator implements Comparator<Task> {
public int compare(Task task1, Task task2) {
return task1.priority.compareTo(task2.priority);
}
}
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让我们定义一个比较器来比较时间:
class TimeComparator implements Comparator<Task> {
public int compare(Task task1, Task task2) {
int compareResult = 0;
if (task2.time < task1.time)
compareResult = 1;
else
compareResult = -1;
return compareResult;
}
}
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现在是最好的部分.让我们定义一个比较器,它允许您混合和匹配比较逻辑.
class MixAndMatchComparator implements Comparator<Task> {
List<Comparator<Task>> comparators;
public MixAndMatchComparator(List<Comparator<Task>> comparators) {
this.comparators=comparators;
}
@Override
public int compare(Task o1, Task o2) {
int compareResult = 0;
for(Comparator<Task> comparator : comparators) {
if(comparator.compare(o1, o2)!=0) {
return comparator.compare(o1, o2);
}
}
return compareResult;
}
}
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现在让我们按优先级排序,如果优先级相等,那么按时排序:
List<Comparator<Task>> comparators = new ArrayList<Comparator<Task>>();
//first sort on priority
comparators.add(new HighPriorityComparator());
//then on time
comparators.add(new TimeComparator());
MixAndMatchComparator orComparator = new MixAndMatchComparator(comparators);
PriorityQueue<Task> queue = new PriorityQueue<Task>(3, orComparator);
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等待!你改变了主意?您现在想要按时间排序,如果时间相等,那么优先级是多少?只需更改将编译器添加到列表的顺序:
List<Comparator<Task>> comparators = new ArrayList<Comparator<Task>>();
//first sort on time
comparators.add(new TimeComparator());
//then on priority
comparators.add(new HighPriorityComparator());
MixAndMatchComparator orComparator = new MixAndMatchComparator(comparators);
PriorityQueue<Task> queue = new PriorityQueue<Task>(3, orComparator);
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