This is not the contest problem, please go to the website to see it.

Data Overflow Mock Problem

Data overflow contest mock problem.

Location Aggregation

We have a TSV(Tab Separated value) file containing user_id and location_id in each line, the goal of this task is to aggregate the user visitation into a output TSV file containing user_id and the location_ids in a single line without any duplicates

Note : user_id and location_id are integers, user_id represents a user and location_id represents a location.

Input File(s)

USER_ID LOCATION_ID
1234    1
1234    2
1245    6
1293    7
1234    4
1245    5
1293    4
2345    1
1234    1

Output File

1234    1,2,4
1245    6,5
1293    7,4
2345    1

How will your code be tested?

The code will be tested against test cases.

For performance we are testing the code with a file having 1 million records, 10 million records and 100 million records

Expected Runtime : Your code is expected to generate the output file for 1 million records within 5 seconds, 10 million within 50 seconds and 100 million within 500 seconds.

Important Note : While testing your code we will run your code with N files, 2 <= N <= 10. You can expect all the N files to be evenly divided with data.

Hardware Requirement:

1GB RAM, 2 core CPU

Sample data

Sample data can be downloaded from here

This is a zip file, please uncompress it using a unzip command or simple uncompressing tool.

You can use this sample data to run your code.

How to get started with the repository?

• Login to github and visit the repository.

• Fork the repository by clicking the fork button.

• Clone the forked respository to the local machine.

• Start writing your code by updating the location_aggregation function in the code/script.py feel free add/modify the code.

• If your code is using additional libraries please mention it in the requirements.txt.

• Run the basic test cases by running.

  python3 wrapper.py test

  This tests your code with basic test cases.

• To run your code with the given sample input file, please run

python3 wrapper.py run -i input_file_1.tsv [input_file_2.tsv ...] -o output_file.tsv

• Once you are happy with the code, commit the code
• Submit your github repository link along with the commit id in our website.