partition

How to find all partitions of a list S into k subsets (can be empty)?

十年热恋 提交于 2019-12-11 06:01:50
问题 I have a list of unique elements, let's say [1,2], and I want to split it onto k=2 sublists. Now I want to have all possible sublists: [ [ [1,2],[] ], [ [1],[2] ], [ [2],[1] ], [ [],[1,2] ] ] And I want to split onto 1<=k<=n sublists, so for k=1 it will be: [ [1, 2] ] How can I do that with Python 3? UPDATE: my goal is to get all possible partitions of list of N unique numbers, where each partition will have k sublists. I would like to show better example than I have shown upper, I hope I

Why pre-partition will benefit spark job because of reducing shuffling?

混江龙づ霸主 提交于 2019-12-11 05:01:49
问题 Many tutorials mention that pre-partition of RDD will optimize data shuffling of spark jobs. What I'm confused is that, for my understanding pre-partition will also lead to shuffling, why shuffling in advance here will benefit some operation? Especially spark it self will do the optimization for a set of transformations. For example: If I want to join two dataset country (id, country) and income (id, (income, month, year)), what's the difference between this two kind of operation? (I use

Recursive Quick Sort in java

若如初见. 提交于 2019-12-11 04:56:41
问题 This is my quicksort Code. It gives me a wrong answer but i think my partition function is correct. public class Quick_Sort { public static void main(String[] args) { int a[] = {99,88,5,4,3,2,1,0,12,3,7,9,8,3,4,5,7}; quicksort(a, 0, a.length-1); } static int partition(int[] a, int low , int hi) { int pivot = hi; int i =low; int j = hi-1; while(i<j) { if(a[i]<=a[pivot]) { i++; } if(a[i]>a[pivot]) { if((a[i]>a[pivot]) && (a[j]<=a[pivot])) { int temp= a[i]; a[i]=a[j]; a[j]=temp; i++; } if(a[j]>a

Partition of Timestamp column in Dataframes Pyspark

纵饮孤独 提交于 2019-12-11 04:25:30
问题 I have a DataFrame in PSspark in the below format Date Id Name Hours Dno Dname 12/11/2013 1 sam 8 102 It 12/10/2013 2 Ram 7 102 It 11/10/2013 3 Jack 8 103 Accounts 12/11/2013 4 Jim 9 101 Marketing I want to do partition based on dno and save as table in Hive using Parquet format. df.write.saveAsTable( 'default.testing', mode='overwrite', partitionBy='Dno', format='parquet') The query worked fine and created table in Hive with Parquet input. Now I want to do partitioned based on the year and

sorting based partition (like in quick-sort)

这一生的挚爱 提交于 2019-12-11 04:06:10
问题 This is an interview question: Given an array with 3 kind of objects white,red,black - one should implement the sorting of the array ,such that it will look: {white}*{black}*{red}*. The interwier said - "you can`t use counting sort".His hint was to think about some quick - sort related technique.So I proposed to use a patition which is like quick - sort partition.He just required to use swap only once for each array`s element.I don`t know how to do it....Any advices ?(I am not sure if it is

spark中map与mapPartitions区别

穿精又带淫゛_ 提交于 2019-12-10 20:55:59
在spark中,map与mapPartitions两个函数都是比较常用,这里使用代码来解释一下两者区别 import org . apache . spark . { SparkConf , SparkContext } import scala . collection . mutable . ArrayBuffer object MapAndPartitions { def main ( args : Array [ String ] ) : Unit = { val sc = new SparkContext ( new SparkConf ( ) . setAppName ( "map_mapPartitions_demo" ) . setMaster ( "local" ) ) val arrayRDD = sc . parallelize ( Array ( 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ) ) //map函数每次处理一个/行数据 arrayRDD . map ( element => { element } ) . foreach ( println ) //mapPartitions每次处理一批数据 //将 arrayRDD分成x批数据进行处理 //elements是其中一批数据 //mapPartitions返回一批数据

HIVE QL: How do I extract info from "show partitions table' and use it in a query?

馋奶兔 提交于 2019-12-10 18:03:14
问题 When I want to select the last month from a big table I can do this: select * from table where yyyymm=(select max(yyyymm) from table) It takes forever. But hive> show partitions table only takes a second. Would it be possible to manipulate show partitions table into a text_string and do something like: select * from table where yyyymm=(manipulated 'partition_txt') 回答1: I tried doing this in Hive but couldn't, so I did it in Spark 2.1.1. val part = spark.sql("SHOW PARTITIONS db.table") //

Recursive function counting and printing partitions of 1 to n-1

我是研究僧i 提交于 2019-12-10 17:07:49
问题 I am trying write a recursive function(it must be recursive) to print out the partitions and number of partitions for 1 to n-1. For example, 4 combinations that sum to 4: 1 1 1 1 1 1 2 1 3 2 2 I am just having much trouble with the function. This function below doesn't work. Can someone help me please? int partition(int n, int max) { if(n==1||max==1) return(1); int counter = 0; if(n<=max) counter=1; for(int i = 0; n>i; i++){ n=n-1; cout << n << "+"<< i <<"\n"; counter++; partition(n,i); }

Faster way to move file in c++ on linux

折月煮酒 提交于 2019-12-10 14:06:57
问题 I'm trying to move files on linux by using C++. The Problem is, that the source file and the destination folder can be in different partitions. So I can't simply move the files. Ok. I decided to copy the file and delete the old one. //----- bool copyFile(string source, string destination) { bool retval = false; ifstream srcF (source.c_str(), fstream::binary); ofstream destF (destination.c_str(), fstream::trunc|fstream::binary); if(srcF.is_open() && destF.is_open()){ destF << srcF.rdbuf(); /

How to divide a set of numbers into two sets such that the difference of their sum is minimum

萝らか妹 提交于 2019-12-10 10:20:04
问题 How to write a Java Program to divide a set of numbers into two sets such that the difference of the sum of their individual numbers, is minimum. For example, I have an array containing integers- [5,4,8,2]. I can divide it into two arrays- [8,2] and [5,4]. Assuming that the given set of numbers, can have a unique solution like in above example, how to write a Java program to achieve the solution. It would be fine even if I am able to find out that minimum possible difference. Let's say my