Reference library

Database scaling & optimization

Indexing, connection pooling, read replicas, query tuning, and throughput-aware SQL.

3 matches

Hash index equality mock concept in Python

A simple hash index class in Python that stores key-value pairs in buckets and demonstrates basic equality-based lookup.

hash-index hash-table database

Python

class HashIndex:
    def __init__(self):
        self._buckets = {}

    def insert(self, key, value):
        """Insert a key-value pair into the hash index."""
        index = hash(key) % 10
        if index not in self._buckets:
            self._buckets[index] = []
        self._buckets[index].append((key, value))…

12 0 Open

Database scaling & optimization easy

How to Validate Data Before Scaling in Python

A reusable Python helper that validates required fields and constraint checks on data rows before entering a database pipeline, improving data quality and throughput.

validation data-quality scaling

Python

def validate_data(data, required_fields, constraints=None):
    """
    Basic validation helper demonstrating data-quality workflows
    before scaling (catches bad rows early, improves throughput).
    """
    constraints = constraints or {}

    errors = []
    for field in required_fields:
        if field not in d…

15 0 Open

Database scaling & optimization easy

UUID vs sequential primary key in Python

Simulate and compare UUID vs sequential primary key generation in Python to understand trade-offs in ordering and uniqueness.

uuid primary-key database

Python

import uuid
import time

def create_record_with_uuid(name):
    record_id = uuid.uuid4()
    return {"id": record_id, "name": name}

def create_record_with_sequential_id(name, counter):
    counter += 1
    return {"id": counter, "name": name}

if __name__ == "__main__":
    # Simulate users inserting records
    sequ…

14 0 Open

Browse by section

Each section groups closely related Python snippets.