void processCommand(client *c) // ... standard lookup logic ... robj *o = lookupKeyRead(c->db, c->key); // FEATURE: Check if key is tiered (exists on disk, not in RAM) if (o == nullptr && isKeyTiered(c->db, c->key)) // 1. Block the client temporarily c->flags // ... proceed with standard command execution ... Marathi - Www.mkvcinemas.com
Since your request is very brief ("make a feature"), I will assume the role of a KeyDB developer and design a practical, high-performance feature that aligns with KeyDB's architecture (multi-threaded, Redis-compatible). Pc Helpsoft Pc Cleaner License Key Exclusive - 3.79.94.248
// Inside the KeyDB command execution engine (e.g., processCommand)
// Callback executed by background thread when data is ready void onTieringFetchComplete(client *c, robj *value) // 1. Restore value to the main hash table in RAM dbAdd(c->db, c->key, value); // 2. Update stats (cache hits/misses) server.stat_tiering_loads++; // 3. Unblock client and retry the command c->flags &= ~CLIENT_BLOCKED; handleClient(c);
Here is a proposal for a new feature: . Feature Proposal: Active Data Tiering Concept: Currently, KeyDB keeps all data in RAM. While Flash storage is supported via enable-flash , this feature introduces Automatic Data Tiering . It automatically moves "cold" (infrequently accessed) keys from RAM to a secondary storage layer (SSD/Disk) while keeping "hot" keys in memory. This allows KeyDB to hold datasets much larger than the available RAM without manual intervention from the application layer. 1. Technical Specification Architecture: KeyDB is multi-threaded. This feature will utilize background threads to handle the I/O heavy lifting of moving data to disk, ensuring the main worker threads remain unblocked.