karld 0.1.0

Doing some data things in a memory efficient manner

How To Data
======================

1.) Split data.
2.) Create a generator that will take the data as an iterator, yielding key,value pairs.
3.) Sort each list of key/value pairs by the key.
4.) Use heap to merge lists of key/value pairs by the key.
5.) Group key/value pairs by the key.
6.) Reduce each key grouped values to one value yielding a single key/value pair.

In lieu of a key, you may use a key function as long as it produces the
same key throughout the map-sort-merge-group phases.

Split data
----------------------

Use split_file to split up your data files.

import os
from karld.loadump import split_file

big_file_names = [
"bigfile1.csv",
"bigfile2.csv",
"bigfile3.csv"
]

data_path = os.path.join('path','to','data', 'root')


def main():
for filename in big_file_names:
# Name the directory to write the split files into.
# I'll make it after the name of the file, removing the extension.
out_dir = os.path.join(data_path, 'split_data', filename.replace('.csv', ''))

# Split the file, with a default max_lines=200000 per shard of the file.
split_file(os.path.join(data_path, filename), out_dir)


if __name__ == "__main__":
main()