Reference library

Caching & Redis

Cache-aside, TTL, invalidation, hot keys, and in-memory lookup patterns at scale.

10 matches
Caching & Redis easy

How to Iterate Redis Keys with SCAN in Python

Iterate all Redis keys matching a pattern using the SCAN command with a mock client to simulate pagination.

redis scan keys
Python
import redis

def scan_keys(client, pattern="*", count=10):
    keys = []
    cursor = 0
    while True:
        cursor, batch = client.scan(cursor=cursor, match=pattern, count=count)
        keys.extend(batch)
        if cursor == 0:
            break
    return keys

if __name__ == "__main__":
    # Mock Redis clien…
15 0 Open
Caching & Redis medium

How to Mock Redis Pipeline Batch Commands in Python

Create a lightweight MockRedis class that simulates Redis pipeline batching with SET, GET, and DELETE operations for testing without a live server.

redis pipeline mock
Python
import redis
import time


class MockRedis:
    def __init__(self):
        self.data = {}

    def pipeline(self):
        return MockPipeline(self)

    def execute(self, commands):
        results = []
        for cmd in commands:
            op, args = cmd[0], cmd[1:]
            if op == "SET":
                se…
14 0 Open
Caching & Redis medium

How to Mock a Redis Transaction with MULTI/EXEC in Python

A minimal in-memory mock of Redis MULTI/EXEC transactions that queues commands and applies them atomically on EXEC.

redis mock transactions
Python
class RedisTransactionMock:
    def __init__(self):
        self.data = {}
        self.queue = []
        self.in_transaction = False

    def multi(self):
        self.in_transaction = True
        self.queue = []
        return "OK"

    def set(self, key, value):
        if self.in_transaction:
            self.qu…
14 0 Open
Caching & Redis easy

How to Use Redis HSET and HGET in Python

This code demonstrates how to store and retrieve hash data in Redis using Python's redis library with HSET, HGET, HGETALL, and HDEL commands.

redis hset hget
Python
import redis

# Connect to Redis (adjust host/port as needed)
r = redis.Redis(host='localhost', port=6379, db=0, decode_responses=True)

# Clear any existing data for demonstration
r.delete('user:1')

# HSET - Store a hash
r.hset('user:1', mapping={'name': 'Alice', 'age': 30, 'city': 'New York'})

# HGET - Retrieve a …
12 0 Open
Caching & Redis medium

How to mock Redis geospatial commands (GEOADD) in Python

Implement a lightweight Python mock of Redis geospatial commands (GEOADD, GEODIST, GEOSEARCH) using the Haversine formula for testing without a Redis server.

redis geospatial haversine
Python
import math
import heapq


class MockRedisGeo:
    def __init__(self):
        self.members = {}

    def geoadd(self, key, longitude, latitude, member):
        if key not in self.members:
            self.members[key] = {}
        self.members[key][member] = (longitude, latitude)

    def geodist(self, key, member1,…
13 0 Open
Caching & Redis easy

How to use Redis MGET MSET pipeline in Python

Store multiple keys atomically and read them efficiently with Redis MSET/MGET, then batch commands with a pipeline to cut round trips.

redis mget mset
Python
import redis  # v4.x+ required

r = redis.Redis(host="localhost", port=6379, db=0, decode_responses=True)

# Sample data to store
r.flushdb()
data = {"name": "Alice", "age": "30", "city": "Berlin"}

# MSET: store multiple key-value pairs in one command
r.mset(data)

# MGET: fetch multiple keys in one round trip
keys =…
15 0 Open
Caching & Redis hard

Mock Redis Lua Script Atomic Execution in Python

A MockRedis class that simulates atomic Lua script execution via EVALSHA with a simplified parser for basic commands.

redis lua mock
Python
import hashlib

class MockRedis:
    def __init__(self):
        self.data = {}
        self.scripts = {}

    def script_load(self, script):
        sha = hashlib.sha1(script.encode()).hexdigest()
        self.scripts[sha] = script
        return sha

    def evalsha(self, sha, keys, args):
        if sha not in self…
16 0 Open
Caching & Redis easy

Redis GET SET EX TTL mock in Python

A thread-safe Python class mimicking Redis GET, SET with EX, and TTL commands for in-memory testing.

redis mock ttl
Python
import time
import threading
from typing import Optional, Callable


class RedisTTLMock:
    def __init__(self):
        self._store: dict[str, tuple[str, float]] = {}
        self._lock = threading.Lock()

    def set(self, key: str, value: str, ex: Optional[int] = None) -> bool:
        expiry = time.time() + ex if …
13 0 Open
Caching & Redis easy

Redis INCR DECR Counter Mock in Python

Simulate Redis INCR and DECR commands with a Python class to test counter logic without a live Redis server.

redis counter mock
Python
class RedisCounter:
    def __init__(self):
        self._store = {}

    def incr(self, key: str, amount: int = 1) -> int:
        if key not in self._store:
            self._store[key] = 0
        self._store[key] += amount
        return self._store[key]

    def decr(self, key: str, amount: int = 1) -> int:
     …
16 0 Open
Caching & Redis easy

Redis LPUSH RPOP List Queue Mock in Python

Implements a FIFO queue using Redis lists with LPUSH and RPOP commands, simulating task processing in Python.

redis queue fifo
Python
import redis
import time

r = redis.Redis(host='localhost', port=6379, db=0)
queue_key = 'task_queue'

# Push tasks onto the left side (LPUSH)
r.lpush(queue_key, 'task1')
r.lpush(queue_key, 'task2')
r.lpush(queue_key, 'task3')

# Mock processing: pop from the right side (RPOP) — FIFO order
while r.llen(queue_key) > 0:…
13 0 Open

Browse by section

Each section groups closely related Python snippets.

Caching & Redis — Python code examples

What you will find here

This page collects caching & redis snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

Samples vs tutorials and challenges

Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.