Reference library

Database scaling & optimization

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

3 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 Create a Database Helper Class for Beginners in Python

Build a beginner-friendly SQLite helper class with indexing and batch inserts to optimize database queries in Python.

sqlite database indexing

Python

import sqlite3


class DatabaseHelper:
    def __init__(self, db_path):
        self.connection = sqlite3.connect(db_path)
        self.cursor = self.connection.cursor()

    def create_table_with_index(self, table_name, columns, indexed_column):
        columns_sql = ", ".join(f"{name} {dtype}" for name, dtype in col…

13 0 Open

Database scaling & optimization easy

How to Speed Up Column Lookups with DataFrame Index in Python

Use pandas set_index to make repeated column value lookups O(1)-style fast instead of scanning the whole DataFrame each time.

pandas indexing performance

Python

import pandas as pd

# Mock dataset with duplicate customer IDs
data = {"customer_id": [101, 102, 103, 101, 104, 102],
        "order_amount": [250.0, 85.5, 300.0, 175.25, 420.0, 95.75]}

df = pd.DataFrame(data)
df = df.set_index("customer_id")

# Simulated lookup request
search_id = 102

# Fast index-based lookup (no…

15 0 Open

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