ThinkerQAQ

3.Thread Model

Redis / Cache · 6 notes

  1. 3.1 Redis Execution and Threading Modelhistorical

    Redis event-driven command execution, I/O multiplexing, threaded network I/O, background work, and why the phrase 'Redis is single-threaded' needs qualification.

  2. 3.2 Redis Concurrency Raceshistorical

    Why individually atomic Redis commands do not make multi-command application workflows atomic, and how INCR, WATCH, Lua/Functions, locks, and database constraints solve different races.

  3. 3.3 Redis Slow Loghistorical

    What Redis Slow Log measures, what it omits, how to configure and inspect it, and how to correlate slow commands with end-to-end latency.

  4. 3.4 Redis Latency and Blockinghistorical

    A production-oriented guide to Redis stalls caused by slow commands, big keys, CPU saturation, persistence/fork, memory pressure, swap, networking, and client backpressure.

  5. 3.5 Redis Big Keyshistorical

    Why oversized Redis values or collections cause latency, bandwidth, memory, replication, deletion, and cluster-balance problems, plus safe detection and mitigation.

  6. 3.6 Redis Hot Keyshistorical

    How one disproportionately popular key overloads a Redis shard, how to detect it, and strategies such as local caches, replica reads, key replication, request coalescing, and data-model changes.