背景
最近使用到了Comparator接口的compare方法,思考了一下改方法的返回值跟升序降序的关系。
升序代码
public void sortTest() {
Integer[] nums = new Integer[]{1, 4, 3, 5, 2, 7, 6};
Arrays.sort(nums, new Comparator<Integer>() {
@Override
public int compare(Integer o1, Integer o2) {
return o1 - o2;
}
});
for (Integer i : nums) {
System.out.print(i + " ");
}
}
// 输出:1 2 3 4 5 6 7
降序代码
public void sortTest() {
Integer[] nums = new Integer[]{1, 4, 3, 5, 2, 7, 6};
Arrays.sort(nums, new Comparator<Integer>() {
@Override
public int compare(Integer o1, Integer o2) {
return o2 - o1;
}
});
for (Integer i : nums) {
System.out.print(i + " ");
}
}
// 输出:7 6 5 4 3 2 1
结论:compare(Integer o1, Integer o2) 方法 return o1 - o2 是升序,return o2 - o1 是降序
原理
找到Arrays.sort方法中带比较器的源码:
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);
}
}
比较器不为null,则进入else方法,先去legacyMergeSort(a, c)方法中看看:
private static <T> void legacyMergeSort(T[] a, Comparator<? super T> c) {
T[] aux = a.clone();
if (c==null)
mergeSort(aux, a, 0, a.length, 0);
else
mergeSort(aux, a, 0, a.length, 0, c);
}
比较器不为null,进入else方法mergeSort(aux, a, 0, a.length, 0, c):
private static void mergeSort(Object[] src,
Object[] dest,
int low, int high, int off,
Comparator c) {
int length = high - low;
// Insertion sort on smallest arrays
// 主要是这段代码
if (length < INSERTIONSORT_THRESHOLD) {
for (int i=low; i<high; i++)
for (int j=i; j>low && c.compare(dest[j-1], dest[j])>0; j--)
swap(dest, j, j-1);
return;
}
// Recursively sort halves of dest into src
int destLow = low;
int destHigh = high;
low += off;
high += off;
int mid = (low + high) >>> 1;
mergeSort(dest, src, low, mid, -off, c);
mergeSort(dest, src, mid, high, -off, c);
// If list is already sorted, just copy from src to dest. This is an
// optimization that results in faster sorts for nearly ordered lists.
if (c.compare(src[mid-1], src[mid]) <= 0) {
System.arraycopy(src, low, dest, destLow, length);
return;
}
// Merge sorted halves (now in src) into dest
for(int i = destLow, p = low, q = mid; i < destHigh; i++) {
if (q >= high || p < mid && c.compare(src[p], src[q]) <= 0)
dest[i] = src[p++];
else
dest[i] = src[q++];
}
}
上面代码关键看下面这部分:
if (length < INSERTIONSORT_THRESHOLD) {
for (int i=low; i<high; i++)
for (int j=i; j>low && c.compare(dest[j-1], dest[j])>0; j--)
swap(dest, j, j-1);
return;
}
这里面调用了compare方法,当该方法返回值大于0的时候就将数组前一个数和后一个数交换
如果是升序:compare方法返回o1 - o2,就是return dest[j-1] - dest[j] ,即当dest[j-1] > dest[j]时交换,当dest[j-1] <= dest[j]时位置不变,从而就达到数组升序
如果时降序:compare方法返回o2 - o1,就是return dest[j] - dest[j - 1],即当dest[j] > dest[j-1]时交换,从而达到数组降序
综上所述:
compare方法返回值大于0,会交换前后两个数位置compare方法返回值小于等于0,位置不交换