Reference library

Caching & Redis

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

4 matches
Caching & Redis easy

Cache Warming with Python: Preload Hot Keys

Demonstrates a simple LRU-like cache with a warm method that preloads hot keys with mock values using OrderedDict.

caching ordereddict lru
Python
import time
from collections import OrderedDict

class CacheWarm:
    def __init__(self, capacity=3):
        self.capacity = capacity
        self.cache = OrderedDict()
        self.hot_keys = []

    def warm(self, keys):
        """Preload hot keys into cache with mock values."""
        for key in keys:
          …
17 0 Open
Caching & Redis easy

How to Invalidate a Cache in Python with lru_cache

This code demonstrates how to clear the cache of an @lru_cache decorated function in Python using cache_clear(), showing the effect on cached results.

lru_cache cache-invalidation functools
Python
from functools import lru_cache
import time

@lru_cache(maxsize=None)
def expensive_operation(key):
    return f"Computed value for {key} at {time.time():.6f}"

def invalidate_cache():
    expensive_operation.cache_clear()

if __name__ == "__main__":
    print(expensive_operation("alpha"))
    print(expensive_operatio…
13 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 easy

How to Use lru_cache in Python for Cache-on-Miss Population

Demonstrates lru_cache to automatically populate cache on a miss and serve subsequent calls from cache, with cache info stats.

lru_cache caching functools
Python
from functools import lru_cache

@lru_cache(maxsize=None)
def fetch_user(user_id):
    """Simulates a slow database fetch."""
    print(f"Cache miss: fetching user {user_id} from database")
    return {"id": user_id, "name": f"User {user_id}"}

if __name__ == "__main__":
    user = fetch_user(1)
    print(f"First call…
15 0 Open

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Caching & Redis — Python code examples

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