Redis and Caching
May 30, 2026 | 5 min read
Artifact Caching
Store compiled artifacts in Redis for shared access across workers:
import redis
import pickle
r = redis.Redis()
def get_cached_artifact(source_hash):
data = r.get(f'pyvorin:artifact:{source_hash}')
if data:
return pickle.loads(data)
return None
def cache_artifact(source_hash, artifact):
r.setex(f'pyvorin:artifact:{source_hash}', 86400, pickle.dumps(artifact))
Result Caching
def cached_compute(key, data):
cached = r.get(key)
if cached:
return cached
result = compiled_compute(data)
r.setex(key, 3600, result)
return result
Cache Invalidation
r.delete('pyvorin:artifact:*') # clear all artifact caches