Reference library

Database scaling & optimization

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

5 matches
Database scaling & optimization easy

Broadcast a Small Reference Table in Python

Simulates SQL-style broadcasting of a small lookup table against a larger fact table in memory for mockups or load tests.

broadcast mock-data data-engineering
Python
import random

def broadcast_mock(target, source, columns):
    result = {}
    for col in columns:
        if col in target and col in source:
            result[col] = target[col] + [source[col][i % len(source[col])] for i in range(len(target[col]))]
        elif col in target:
            result[col] = target[col]
…
15 0 Open
Database scaling & optimization medium

How to Implement Keyset Pagination in Python (Seek Method)

Implement keyset (seek) pagination in Python with a mock paginator that efficiently fetches pages based on the last row rather than OFFSET.

pagination keyset seek-method
Python
from dataclasses import dataclass
from typing import List, Optional


@dataclass
class Row:
    id: int
    name: str

    def __lt__(self, other: "Row") -> bool:
        return (self.id, self.name) < (other.id, other.name)


class MockKeysetPaginator:
    """Pagination using keyset (seek) method instead of OFFSET."""…
14 0 Open
Database scaling & optimization easy

How to Mock Sticky Session Read-Your-Writes in Python

Simulates a sticky session store that routes reads for a session to the node where the last write occurred, demonstrating read-your-writes consistency.

sticky sessions read-your-writes mock
Python
class StickySessionStore:
    def __init__(self):
        self.data = {}
        self.session_nodes = {}

    def write(self, session_id, key, value):
        self.data[key] = value
        self.session_nodes[session_id] = key
        return f"Wrote {key}={value} for session {session_id}"

    def read(self, session_i…
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
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

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