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Big data & Spark

PySpark jobs, partitioning, batch processing, and large-dataset transform patterns.

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How to Implement a Mock MapReduce for Word Count in Python

Simulates a MapReduce word count pipeline with mapper, shuffle, and reducer phases using Python dicts and standard library modules.

mapreduce word-count big-data
Python 
from collections import defaultdict
import re

def mapper(text):
    """Split text into words and emit (word, 1) pairs."""
    words = re.findall(r'\b\w+\b', text.lower())
    return [(word, 1) for word in words]

def reducer(pairs):
    """Group word-count pairs and sum counts."""
    counts = defaultdict(int)
    fo…
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