Reference library

Big data & Spark

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

2 matches
Big data & Spark medium

Delta Lake ACID Transaction Log Mock in Python

Simulates Delta Lake's transactional log with JSON files for atomic commits, versioned operations, and crash recovery

delta-lake transaction-log acid
Python
import json
import time
from pathlib import Path

class DeltaLog:
    def __init__(self, path):
        self.log_dir = Path(path)
        self.log_dir.mkdir(parents=True, exist_ok=True)
        self.version = 0

    def _write_txn(self, action, payload):
        txn = {
            "version": self.version,
           …
15 0 Open
Big data & Spark medium

How to Create a Mock Iceberg Snapshot Manifest in Python

Build a mock Iceberg snapshot manifest structure with metadata and data entries using Python dictionaries and JSON.

iceberg manifest snapshot
Python
import json
from datetime import datetime, timezone


def create_mock_manifest(snapshot_id: int, file_paths: list[str]) -> dict:
    """Create a mock Iceberg snapshot manifest structure."""
    manifest_file = {
        "manifest_path": f"/warehouse/table/metadata/snap-{snapshot_id}-m0.avro",
        "manifest_length"…
15 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.