Reference library

Database scaling & optimization

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

4 matches

Database indexing and query timing optimization in Python

Create SQLite indexes and time query performance to measure speedup for large table lookups in Python.

import sqlite3
import time


def time_query(db_path, query, params=()):
    conn = sqlite3.connect(db_path)
    conn.execute("PRAGMA journal_mode = WAL")
    start = time.perf_counter()
    result = conn.execute(query, params).fetchall()
    elapsed = time.perf_counter() - start
    conn.close()
    return result, ela…

14 0 Open

Database scaling & optimization easy

How to Batch Load JSON Data in Python for Database Optimization

This code parses JSON data into records and loads them in batches to simulate efficient database insertion, reducing load and improving performance.

json batching database

Python

import json
import time

def parse_and_load(data, batch_size=100):
    """
    Parse JSON data and batch-load into a list of dicts.
    Demonstrates batching for database efficiency.
    """
    records = json.loads(data)
    batches = []

    for i in range(0, len(records), batch_size):
        batch = records[i:i + …

12 0 Open

Database scaling & optimization easy

How to Convert Data with Scaling for Database Optimization in Python

A beginner-friendly helper that normalizes and scales numeric fields in a list of dicts, reducing storage footprint for database efficiency.

data conversion database scaling

Python

import json
from datetime import datetime

def convert_data(data: list[dict], scale_factor: int = 1) -> list[dict]:
    """Convert a list of dicts to a scaled, normalized format for database efficiency."""
    converted = []
    for row in data:
        normalized = {}
        for key, value in row.items():
          …

14 0 Open

Database scaling & optimization easy

How to Optimize SQLite Database Performance in Python

A Python helper that creates an index, enables WAL mode, and tunes synchronous settings to optimize SQLite database performance.

sqlite database optimization

Python

import sqlite3

DATABASE_PATH = "beginners.db"
UNOPTIMIZED_TABLE_SCHEMA = """
CREATE TABLE IF NOT EXISTS users (
    id INTEGER PRIMARY KEY,
    name TEXT NOT NULL,
    email TEXT NOT NULL
)
"""


def optimize_database(db_path: str = DATABASE_PATH) -> dict:
    with sqlite3.connect(db_path) as connection:
        curs…

14 0 Open

Browse by section

Each section groups closely related Python snippets.