Reference library

Big data & Spark

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

1 match
Big data & Spark medium

How to Mock Spark Streaming Micro-Batches in Python

Simulate Spark's micro-batch streaming with a simple deque-based class that collects events over time and processes them in timed batches.

spark streaming micro-batch
Python
import time
from collections import deque
from datetime import datetime


class MicroBatchStream:
    def __init__(self, batch_interval_sec=2):
        self.batch_interval = batch_interval_sec
        self.source = deque()
        self.processed = []

    def add_events(self, events):
        self.source.extend(events…
13 0 Open

Browse by section

Each section groups closely related Python snippets.

Big data & Spark — Python code examples

What you will find here

This page collects big data & spark snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.