Reference library

Database scaling & optimization

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

13 matches
Database scaling & optimization medium

Build a Full Text Search Index in Python

Create a simple inverted index for full-text search with the standard library, supporting multi-word AND queries across documents.

search inverted-index text-processing
Python
import re
from collections import defaultdict


class SimpleTextIndex:
    def __init__(self):
        self.index = defaultdict(list)
        self.documents = {}

    def add_document(self, doc_id, text):
        self.documents[doc_id] = text
        words = set(re.findall(r'\w+', text.lower()))
        for word in wo…
12 0 Open
Database scaling & optimization easy

Build a Partial Index Mock in Python for Database Filtering

Simulate a partial database index by filtering keys with a predicate, then return a limited mock lookup dictionary.

partial-index database mock
Python
data = [
    "alpha", "beta", "gamma", "delta", "epsilon",
    "zeta", "eta", "theta", "iota", "kappa"
]

filtered_keys = [item for item in data if len(item) >= 5]

def mock_partial_index(keys, filter_func, limit=3):
    result = {}
    for key in keys:
        if not filter_func(key):
            continue
        res…
12 0 Open
Database scaling & optimization medium

Database Helper in Python with SQLite Scaling Optimization

Build a beginner-friendly SQLite database helper class with WAL, indexed queries, and efficient batch inserts for scaling.

sqlite database scalability
Python
import sqlite3
from contextlib import contextmanager


class DatabaseHelper:
    """Beginner-friendly helper for SQLite database operations with scaling tips."""

    def __init__(self, db_path):
        self.db_path = db_path

    @contextmanager
    def connection(self):
        """Context manager for automatic comm…
14 0 Open
Database scaling & optimization medium

How to Build a Connection Pool Reuse Mock in Python

Build a mock connection pool with context manager to track connection reuse, acquires, and releases in Python.

connection-pool context-manager database
Python
import time
from contextlib import contextmanager


class Connection:
    def __init__(self, name):
        self.name = name
        self.in_use = False
        self.busy_since = None

    def fetch(self):
        return f"data from {self.name}"


class ConnectionPool:
    def __init__(self, size=3):
        self.conn…
13 0 Open
Database scaling & optimization medium

How to Build a Shard Map Mock Dict in Python

Implement a dictionary-like class that distributes keys across multiple shards using Python's hash() for realistic data partitioning.

dict sharding hash
Python
class ShardMap:
    def __init__(self, shard_count):
        self.shards = {i: {} for i in range(shard_count)}
        self.shard_count = shard_count

    def _shard_for(self, key):
        return hash(key) % self.shard_count

    def __getitem__(self, key):
        return self.shards[self._shard_for(key)][key]

    d…
14 0 Open
Database scaling & optimization easy

How to Create a Data Helper Class in Python for JSON Files

Build a beginner-friendly Python helper class to read, write, filter, and summarize JSON data files with clean, reusable methods.

json data-helper file-io
Python
import json
from pathlib import Path


class DataHelper:
    """Simple beginner-friendly helper for reading and writing JSON data files."""

    @staticmethod
    def read_json(filename):
        file_path = Path(filename)
        if file_path.exists():
            with file_path.open("r", encoding="utf-8") as f:
    …
13 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 medium

How to Explain SQLite Query Plans in Python

Build a Python function that runs EXPLAIN QUERY PLAN on SQLite in-memory tables and prints the optimizer's execution plan for any SELECT statement.

sqlite query-plan optimization
Python
import sqlite3

def explain_query(sql: str) -> str:
    """Return the SQLite query plan for the given SQL statement."""
    conn = sqlite3.connect(":memory:")
    cursor = conn.cursor()
    
    # Create sample data for a realistic plan
    cursor.execute("CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)")
    c…
14 0 Open
Database scaling & optimization medium

How to Implement Consistent Hashing in Python

Build a consistent hash ring in Python that distributes keys across nodes and minimizes remapping when nodes are added or removed.

consistent-hashing distributed-systems sharding
Python
import hashlib
from bisect import bisect_right


class ConsistentHashRing:
    def __init__(self, nodes, replicas=3):
        self.replicas = replicas
        self.ring = {}
        self.sorted_keys = []
        for node in nodes:
            self.add_node(node)

    def _hash(self, key):
        return int(hashlib.md…
15 0 Open
Database scaling & optimization medium

How to Simulate a Stable Sort Cursor in Python

Build a MongoDB-style cursor mock that stably sorts records by a key while preserving original order for ties, with next() and rewind() methods.

sorting cursors database
Python
```python
import random

class CursorStableSortMock:
    """Simulates stable sorting with a cursor-like pointer for MongoDB-style queries."""
    
    def __init__(self, data, sort_key, reverse=False):
        self.data = list(data)
        self.sort_key = sort_key
        self.reverse = reverse
        self._index = …
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 medium

Simulate a GIN Index for JSONB in Python

Build a mock Generalized Inverted Index (GIN) that flattens JSON documents into key-value tokens for fast lookup queries, mimicking PostgreSQL JSONB indexing.

jsonb gin-index inverted-index
Python
import json
import random
from collections import defaultdict

# Mock GIN (Generalized Inverted Index) for JSONB key-value pairs
class GINIndex:
    def __init__(self):
        self.posting_lists = defaultdict(list)  # token -> list of doc_ids
    
    def index(self, doc_id, json_obj):
        """Index a JSON documen…
14 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

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Database scaling & optimization — Python code examples

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