duplicates

i need a Pyspark solution for Pandas drop_duplicates(keep=False) . Unfortunately, the keep=False option is not available in pyspark... Pandas Example: import pandas as pd df_data = {'A': ['foo', 'foo', 'bar'], 'B': [3, 3, 5], 'C': ['one', 'two', 'three']} df = pd.DataFrame(data=df_data) df = df.drop_duplicates(subset=['A', 'B'], keep=False) print(df) Expected output: A B C 2 bar 5 three A conversion .to_pandas() and back to pyspark is not an option. Thanks! Use window function to count the number of rows for each A / B combination, and then filter the result to keep only rows that are unique:

I am trying to loop through my array and find all the numbers that are repeating more than once: E.G: if there is 1 1 2 3 4 It should print saying "1 repeats more than once" Here is my code and so far what I have tried, however it prints all duplicates and keep going, if there is 4 4 4 4 3 6 5 6 9 , it will print all the 4's but i dont want that: class average { public static void main(String[] args) throws IOException { int numOfLines = 0; int sum = 0, mean = 0, median = 0, lq = 0, uq = 0; int[] buffer; File myFile = new File("num.txt"); Scanner Scan = new Scanner(myFile); while(Scan

I have two tables in Access database. Table1 has more columns than Table2. I would like to merge those tables into one while removing duplicates. I have the following query SELECT FirstName, LastName, PhoneNumber FROM Table1 UNION SELECT FirstName, LastName, Null as PhoneNumber FROM Table2 Problem is, I don't want to copy any entry from Table2 that has the same FirstName and LastName in Table1. How can I change the above query to accomplish that? Thanks in advance. Start with a query which returns only those Table2 rows which are not matched in Table1 . SELECT t2.FirstName, t2.LastName FROM

I need to find a way to remove duplicates from a combination like this: Input: 3 and 2, where 3 is the range (from 1 to 3) and 2 is the length of each combination Output : {1, 1} {1, 2} {1, 3} {2, 1} {2, 2} {2, 3} {3, 1} {3, 2} {3, 3} Expected output : {1, 1} {1, 2} {1, 3} {2, 2} {2, 3} {3, 3} So we start with {1, 1} -> {1, 2} -> {1, 3} -> but {2, 1} is a duplicate of {1, 2} so we ignore it and so on. Here's my code: import java.util.Scanner; public class Main { private static int[] result; private static int n; private static void printArray() { String str = "( "; for (int number : result) {

Can somebody help me with this little task? What I need is a stored procedure that can find duplicate letters (in a row) in a string from a table "a" and after that make a new table "b" with just the id of the string that has a duplicate letter. Something like this: Table A ID Name 1 Matt 2 Daave 3 Toom 4 Mike 5 Eddie And from that table I can see that Daave , Toom , Eddie have duplicate letters in a row and I would like to make a new table and list their ID's only. Something like: Table B ID 2 3 5 Only 2,3,5 because that is the ID of the string that has duplicate letters in their names. I