problem 811. Subdomain Visit Count solution: class Solution { public: vector<string> subdomainVisits(vector<string>& cpdomains) { vector<string> res; unordered_map<string, int> subdomain; ; for(auto cpdomain:cpdomains) { spaceI…

作者: 负雪明烛 id: fuxuemingzhu 个人博客: http://fuxuemingzhu.cn/ 目录 题目描述 题目大意 解题方法 字典统计次数 日期 题目地址:https://leetcode.com/problems/subdomain-visit-count/description/ 题目描述 A website domain like "discuss.leetcode.com" consists of various subdomains. At the to…

Question 811. Subdomain Visit Count Example 1: Input: ["9001 discuss.leetcode.com"] Output: ["9001 discuss.leetcode.com", "9001 leetcode.com", "9001 com"] Explanation: We only have one website domain: "discuss.…

题目要求 A website domain like "discuss.leetcode.com" consists of various subdomains. At the top level, we have "com", at the next level, we have "leetcode.com", and at the lowest level, "discuss.leetcode.com". When we…

A website domain like "discuss.leetcode.com" consists of various subdomains. At the top level, we have "com", at the next level, we have "leetcode.com", and at the lowest level, "discuss.leetcode.com". When we visit…

题目标签:HashMap 题目给了我们一组域名,让我们把每一个域名,包括它的子域名,计数. 遍历每一个域名,取得它的计数,然后把它的所有子域名和它自己,存入hashmap,域名作为key,计数作为value. 最后遍历keyset,把计数和域名重新组合加入result,具体请看code. Java Solution: Runtime: 7 ms, faster than 99.54% Memory Usage: 36.4 MB, less than 99.04% 完成日期:03/15/2019…

解答 class Solution { public: vector<string> subdomainVisits(vector<string>& cpdomains) { vector<string> result; map<string,int> pair; for(string str:cpdomains){ auto space=str.find(' '); int temp=stoi(str.substr(0,space)); str=s…

这题主要难在构建关联容器,方法很多,但是核心都是把原字符串一截一截减下来处理,先把前面用空格隔开的次数转化为整数,然后处理后面的多层子域. 方法一,查找标志字符,用标志字符把字符串分成几段 static int wing=[]() { std::ios::sync_with_stdio(false); cin.tie(NULL); ; }(); class Solution { public: vector<string> subdomainVisits(vector<string>…

这是悦乐书的第320次更新,第341篇原创 01 看题和准备 今天介绍的是LeetCode算法题中Easy级别的第189题(顺位题号是811).像"discuss.leetcode.com"这样的网站域名由各种子域组成.在顶级,我们有"com",在下一级,我们有"leetcode.com",在最低级别,"discuss.leetcode.com".当我们访问像"discuss.leetcode.com"这样…

mysql统计查询count的效率优化问题 涉及到一个问题 就是 mysql的二级索引的问题,聚簇索引和非聚簇索引 引申地址:https://www.cnblogs.com/sxdcgaq8080/p/9529489.html 有一个结论是: 采用 secondary index 查询要比用 primary key 查询来的快很多.那么,为什么用 secondary index 扫描反而比 primary key 扫描来的要快呢?我们就需要了解innodb的 clustered index[聚簇…