设计一个跳表。
跳表是能在O(log(n))时间内完成增加、删除、搜索到数据结构。

先准备一个有上限大小的NODE数据结构如下:
-
- public class SkipListNode {
-
- int value;
- SkipListNode[] forward;
-
- public SkipListNode(int value, int level) {
- this.value = value;
- this.forward = new SkipListNode[level];
- }
-
- }
说明:value就是具体存储的值; forward是下一个节点位置,对应于链表中的next,由于跳表存在多个next,这里用数组表示,这也就要求这个跳表有上限大小。
根据上述SkipListNode,来定义一个基本的跳表:
- class Skiplist {
-
- int MAX_LEVEL = 32;
- SkipListNode head;
- int level;
- Random random;
-
- public Skiplist() {
- this.head = new SkipListNode(-1, MAX_LEVEL);
- this.level = 0;
- this.random = new Random();
- }
- }
说明:
MAX_LEVEL为跳表的最大层数量;
head是跳表的初始节点,默认为-1;
level是这个跳表的层数,默认是0;
random是一个随机函数,用于计算每个跳表的节点是否需要添加level。
1. search,指定一个target,查询是否包含在跳表中;
- public boolean search(int target) {
- SkipListNode curr = this.head;
- for (int i = level - 1; i >= 0; i--) {
- while (curr.forward[i] != null && curr.forward[i].value < target) {
- curr = curr.forward[i];
- }
-
- // 注意点
- if (curr.forward[i] != null && curr.forward[i].value == target) {
- return true;
- }
- }
- return false;
- }
搜索的时候从上往下搜索;
1.先判断当前节点是否存在下一个节点,并且下一个节点的值是否小于target, 如果是则继续循环;
2.在循环完毕后判断,当前节点的下一个节点是否不为NULL,并且等于target,如果等于则直接返回true;
2. add,指定一个num,将这个数字添加到跳表中;
-
- public void add(int num) {
- SkipListNode[] update = new SkipListNode[MAX_LEVEL];
-
- // 这个地方没有看懂,我理解是为了保证如果是第一个元素也能访问到。
- Arrays.fill(update, head);
-
- SkipListNode curr = head;
- for (int i = level - 1; i >= 0; i--) {
- while (curr.forward[i] != null && curr.forward[i].value < num) {
- curr = curr.forward[i];
- }
- update[i] = curr;
- }
-
- int lv = randomLevel();
- level = Math.max(level, lv);
-
- SkipListNode newNode = new SkipListNode(num, lv);
- for (int i = 0; i < lv; i++) {
- newNode.forward[i] = update[i].forward[i];
- update[i].forward[i] = newNode;
- }
- }
-
- private int randomLevel() {
- int lv = 1;
- while (random.nextDouble() < 0.25 && lv < MAX_LEVEL) {
- lv++;
- }
- return lv;
- }
参考删除操作,增加一个update记录要添加的层;这个里面最特殊的地方是对update的节点进行了初始化,并且使用的是head节点,主要是考虑在把update添加到第一个节点时不要有数据关系丢失。
使用随机函数来计算level,其实就是在小于MAX_LEVEL的情况下做随机
private int randomLevel() {
int lv = 1;
while (random.nextDouble() < 0.25 && lv < MAX_LEVEL) {
lv++;
}
return lv;
}
获得层数后从下往上添加节点,添加操作:
newNode.forward[i] = update[i].forward[i];
update[i].forward[i] = newNode;
3. erase,指定一个num,将这个数字从跳表中删除;
-
- public boolean erase(int num) {
- SkipListNode[] update = new SkipListNode[level];
- SkipListNode curr = head;
- int count = 0;
- for (int i = level - 1; i >= 0; i--) {
- while (curr.forward[i] != null && curr.forward[i].value < num) {
- curr = curr.forward[i];
- }
- if (curr.forward[i] != null && curr.forward[i].value == num) {
- update[i] = curr;
- count++;
- }
- }
-
-
- for (int i = 0; i < count; i++) {
- update[i].forward[i] = update[i].forward[i].forward[i];
- }
-
- for (int i = count - 1; i >= 0; i--) {
- if (update[i].forward == null) {
- level--;
- }
- }
-
- return count > 0;
- }
这个和搜索很相似,还是从上往下搜索,这里增加一个update数组用于记录要删除节点的父亲节点,增加一个count记录要删除的层数:
1.先判断当前节点是否存在下一个节点,并且下一个节点的值是否小于target, 如果是则继续循环;
2.在循环完毕后判断,当前节点的下一个节点是否不为NULL,并且等于target,将这个节点放到update中;并且将count++。
在全部遍历完成后,执行删除操作,这个时候,从下往上删除(0到count-1);
update[i].forward[i] = update[i].forward[i].forward[i];
在删除完成后恢复一下level数,从上往下计算(count-1到0),只要update的下一个节点为NULL则对level进行减一操作;
整体代码如下:
-
- import java.util.Arrays;
- import java.util.Random;
-
- class Skiplist {
-
- int MAX_LEVEL = 32;
- SkipListNode head;
- int level;
- Random random;
-
- public Skiplist() {
- this.head = new SkipListNode(-1, MAX_LEVEL);
- this.level = 0;
- this.random = new Random();
- }
-
-
- public boolean search(int target) {
- SkipListNode curr = this.head;
- for (int i = level - 1; i >= 0; i--) {
- while (curr.forward[i] != null && curr.forward[i].value < target) {
- curr = curr.forward[i];
- }
-
- // 注意点
- if (curr.forward[i] != null && curr.forward[i].value == target) {
- return true;
- }
- }
- return false;
- }
-
- public void add(int num) {
- SkipListNode[] update = new SkipListNode[MAX_LEVEL];
-
- // 这个地方没有看懂,我理解是为了保证如果是第一个元素也能访问到。
- Arrays.fill(update, head);
-
- SkipListNode curr = head;
- for (int i = level - 1; i >= 0; i--) {
- while (curr.forward[i] != null && curr.forward[i].value < num) {
- curr = curr.forward[i];
- }
- update[i] = curr;
- }
-
- int lv = randomLevel();
- level = Math.max(level, lv);
-
- SkipListNode newNode = new SkipListNode(num, lv);
- for (int i = 0; i < lv; i++) {
- newNode.forward[i] = update[i].forward[i];
- update[i].forward[i] = newNode;
- }
- }
-
- private int randomLevel() {
- int lv = 1;
- while (random.nextDouble() < 0.25 && lv < MAX_LEVEL) {
- lv++;
- }
- return lv;
- }
-
- public boolean erase(int num) {
- SkipListNode[] update = new SkipListNode[level];
- SkipListNode curr = head;
- int count = 0;
- for (int i = level - 1; i >= 0; i--) {
- while (curr.forward[i] != null && curr.forward[i].value < num) {
- curr = curr.forward[i];
- }
- if (curr.forward[i] != null && curr.forward[i].value == num) {
- update[i] = curr;
- count++;
- }
- }
-
-
- for (int i = 0; i < count; i++) {
- update[i].forward[i] = update[i].forward[i].forward[i];
- }
-
- for (int i = count - 1; i >= 0; i--) {
- if (update[i].forward == null) {
- level--;
- }
- }
-
- return count > 0;
- }
-
- public class SkipListNode {
-
- int value;
- SkipListNode[] forward;
-
- public SkipListNode(int value, int level) {
- this.value = value;
- this.forward = new SkipListNode[level];
- }
-
- }
-
- }
这里的跳表借用了数组,只需要考虑向右查询下一个节点,减轻了向下查询下一个节点的操作;
跳表这个数据结构设计的挺巧妙的,先要理解基本原理,代码实现上,注意细节,搜了一下目前redis中有使用到跳表。