1046. Plane Spotting Time Limit: 1sec    Memory Limit:32MB  Description Craig is fond of planes. Making photographs of planes forms a major part of his daily life. Since he tries to stimulate his social life, and since it’s quite a drive from his hom…

DescriptionCraig is fond of planes. Making photographs of planes forms a major part of his daily life. Since he tries to stimulate his social life, and since it’s quite a drive from his home to the airport, Craig tries to be very efficient by investi…

1046. Plane Spotting Constraints Time Limit: 1 secs, Memory Limit: 32 MB Description Craig is fond of planes. Making photographs of planes forms a major part of his daily life. Since he tries to stimulate his social life, and since it’s quite a drive…

hive 分组排序,topN 语法格式:row_number() OVER (partition by COL1 order by COL2 desc ) rankpartition by:类似hive的建表,分区的意思:order by :排序,默认是升序,加desc降序:rank:表示别名表示根据COL1分组,在分组内部根据 COL2排序,而此函数计算的值就表示每组内部排序后的顺序编号(组内连续的唯一的) -- 分组排序-- 求某用户日期最大的3天select a.* from( selec…

需求 K长的序列,求TopN K长的序列,求BtmN 排序问题 解决 heap.nlargest().heap.nsmallest( ) sorted( )+切片 max( ).min( ) 总结和比较 1)在Top N问题中,如果 N=1,则直接用max(iterable)/min(iterable) 即可(效率最高). 2)如果N很大,接近集合元素,则为了提高效率,采用 sort+切片 的效率会更高,如: 求最大的N个元素:sorted(iterable, key=key, reverse=…

四. 模块开发----统计分析 select * from ods_weblog_detail limit 2;+--------------------------+--------------------------------+--------------------------------+-------------------------------+---------------------------+----------------------------+-----------…

题目链接:http://poj.org/problem?id=2388 题目大意: 奇数个数排序求中位数 解题思路:看代码吧! AC Code: #include<stdio.h> #include<algorithm> using namespace std; int main() { int n; while(scanf("%d",&n)!=EOF) { ]; ; i<n; i++) scanf("%d",&na[i…

和LeetCode 207. Course Schedule(拓扑排序-求有向图中是否存在环)类似. 注意到.在for (auto p: prerequistites)中特判了输入中可能出现的平行边或自环. 代码: class Solution { public: vector<int> findOrder(int numCourses, vector<pair<int, int>>& prerequisites) { // [0, {1, 2, 3}], me…

前言 在Hadoop中,排序是MapReduce的灵魂,MapTask和ReduceTask均会对数据按Key排序,这个操作是MR框架的默认行为,不管你的业务逻辑上是否需要这一操作. 技术点 MapReduce框架中,用到的排序主要有两种:快速排序和基于堆实现的优先级队列(PriorityQueue). Mapper阶段 从map输出到环形缓冲区的数据会被排序(这是MR框架中改良的快速排序),这个排序涉及partition和key,当缓冲区容量占用80%,会spill数据到磁盘,生成IFile文…

2014年12月16日 17:15:09 初始化一串全为0的二进制; 现有一串无序的整数数组; 如果整数x在这个整数数组当中,就将二进制串的第x位置为1; 然后顺序读取这个二进制串,并将为1的位转换成整数,顺序存放到新的集合中,就是排好序的了 排序代码: function sort() { // var_dump(PHP_INT_MAX, PHP_INT_SIZE); // int 9223372036854775807 // int 8 $bitmap = array_fill(0, 50,…