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Database scaling & optimization

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

6 matches

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 Mock Date Sharding by Range in Python

Split a date interval into fixed-size contiguous shards, returning each window as an ISO date string pair.

date datetime sharding

Python

from datetime import date, timedelta

def shard_ranges(start_date, end_date, shard_days=7):
    if start_date > end_date:
        raise ValueError("start_date cannot be after end_date")

    shards = []
    current = start_date
    while current <= end_date:
        shard_end = min(current + timedelta(days=shard_days …

13 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

How to enforce a unique index constraint in Python

Mock a database unique index in Python that rejects duplicate rows based on one or more columns.

database unique index constraint

Python

class MockIndex:
    def __init__(self, columns):
        self.columns = columns
        self._values = set()

    def insert(self, row):
        key = tuple(row[col] for col in self.columns)
        if key in self._values:
            raise ValueError(f"Duplicate key {key} for columns {self.columns}")
        self._v…

14 0 Open

Database scaling & optimization easy

How to mock directory-based sharding in Python

Simulates distributing files into logical shards using a deterministic hash of each filename, mocking how a database might shard rows across nodes.

sharding hash partitioning

Python

import os
import hashlib
from collections import defaultdict
from pathlib import Path


def get_shard_for_key(key: str, num_shards: int) -> int:
    """Return a deterministic shard index (0..num_shards-1) for a key."""
    digest = hashlib.md5(key.encode('utf-8')).hexdigest()
    return int(digest, 16) % num_shards


…

14 0 Open

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