duplicates

Reason: I was assigned to run some script that advances a website,it's a fantasy football site and there are several instants of the site located into different domains. Some has more than 80k users and each users supposed to have a team that consists of 15 players. Hence some tables have No.users x No.players rows. However Sometimes the script fails and the result gets corrupted, therefore I must backup 10 tables in question before i execute the script. Nevertheless, I still need to backup the tables to keep historical record of users action. Because football matches may last for 50+ game

I have a table with 500,000+ records, and fields for ID, first name, last name, and email address. What I'm trying to do is find rows where the first name AND last name are both duplicates (as in the same person has two separate IDs, email addresses, or whatever, they're in the table more than once). I think I know how to find the duplicates using GROUP BY, this is what I have: SELECT first_name, last_name, COUNT(*) FROM person_table GROUP BY first_name, last_name HAVING COUNT(*) > 1 The problem is that I need to then move the entire row with these duplicated names into a different table. Is

I have a rather big dataset of N documents with less than 1% of them being near-duplicate which I want to identify. I have many number fields, and a few text fields. I consider two documents in the data set close if... all but one, two or three data fields are fully identical. corresponding text fields of two documents are only a few edits away (that's the Levensthein distance used by ElasticSearch). How would you approach this challenge of identifying fuzzy duplicates with ElasticSearch ? I already struggle to write a (general) ElasticSearch query for part (1), which does not explicitly use

I was handled a very long excel file (up to 11000 rows and 7 columns) that has many repeated data inside a cell. I am looking for a macro to get rid of it but couldn't find any. Example of one such cells: Ciencias de la Educación,Educación,Pedagogía,Ciencias de la Educación,Educación,Pedagogía It should look like: Ciencias de la Educación,Educación,Pedagogía How can I get rid of the thousands of repeats (not to mention the extra, orphaned, commas)? This code runs 6 seconds on my machine and 2 seconds on @SiddharthRout's machine:) (with data in cells A1:G20000 : 20000x7=140000 non empty cells)

I have an array of strings in AutoHotkey which contains duplicate entries. nameArray := ["Chris","Joe","Marcy","Chris","Elina","Timothy","Joe"] I would like to remove any duplicates so that only unique values remain. trimmedArray := ["Chris","Joe","Marcy","Elina","Timothy"] Ideally I'm looking for a function similar to Trim() which would return a trimmed array while leaving the original array intact. (i.e. trimmedArray := RemoveDuplicates(nameArray) ) How do I remove duplicates from my AutoHotkey array? Leaves the original intact, only loops once, preserves order: nameArray := ["Chris","Joe",

I'm seeking advice for a problem that I thought to be simple, and it might be simple indeed by creating a small script, but I think there should already be a way to do that with git/quilt/stgit. I'm not exactly good at git and this is causing some issues to me. My problem: I've got a git tree (linux kernel) and a number of patches. What happens, such patches were intended for and older version of the kernel, and many of them have already been applied to my tree. The patches start with an header line like From b1af4315d823a2b6659c5b14bc17f7bc61878ef4 (timestamp) and by doing something like git