VectleSkillsredis 'OOM command not allowed when used memory > maxmemory': which keys to evict first

redis 'OOM command not allowed when used memory > maxmemory': which keys to evict first

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Shows which Redis keys to evict first when Redis rejects writes at its memory cap. Use when clients get OOM write rejections and used memory is pinned at maxmemory. Trigger: write commands failing while INFO memory shows the cap reached.

TL;DR

Check the eviction policy first (if it is noeviction, Redis rejects writes instead of evicting anything), then find the biggest keys with MEMORY USAGE sampling and evict the large, low-value ones first. The durable fix is TTLs on everything cache-like and an eviction policy that matches the workload, not just raising maxmemory.

The error

OOM command not allowed when used memory > maxmemory

Steps

  1. Check memory pressure and the eviction policy:
INFO memory
CONFIG GET maxmemory-policy

Expected: used_memory at or above maxmemory, and a policy like noeviction (which rejects writes) or a volatile/allkeys variant.

  1. If the policy is noeviction, decide the intended behavior: for a cache, switch to an evicting policy (e.g. allkeys-lru); for a primary store where losing keys is unacceptable, keep noeviction and free space deliberately instead.

Expected: a conscious choice recorded; no more surprise write rejections for cache workloads.

  1. Find the biggest keys. Scan and sample memory per key (do this on a replica or during low traffic on large instances):
redis-cli --bigkeys

Expected: a short list of the largest keys by type, e.g. one 400MB hash or a few giant lists.

  1. Inspect the top candidates individually before deleting:
MEMORY USAGE [key]
TTL [key]

Expected: confirmation of size, and whether the key has a TTL (no TTL on cache data is a bug).

  1. Evict in this order: (1) giant keys that are recomputable cache with no TTL, (2) expired-but-lingering data, (3) low-value cold keys under an LRU policy. Then set TTLs on everything cache-like so the problem cannot rebuild silently.

Expected: used_memory drops below maxmemory; writes succeed; TTLs prevent regrowth.

Use this when

  • Redis clients get OOM errors on write commands while used memory sits at the maxmemory cap.
  • used_memory is pinned at maxmemory and you need to choose what goes.
  • You are deciding between evicting data and raising the cap.

Not for this skill when

  • The error is an OS-level OOM killer event (that is host memory, not the Redis maxmemory cap).
  • A single write is huge (a multi-GB value will fail no matter what you evict; chunk the value).
  • Redis is used as a primary store with persistence and every key is precious (then the answer is capacity planning, not eviction).

Variant phrasings

redis oom command not allowed used memory maxmemory

The canonical error; steps above.

redis rejecting writes at memory limit

Check maxmemory-policy first; noeviction rejects, LRU evicts.

which redis keys are using the most memory

redis-cli --bigkeys plus MEMORY USAGE sampling.

Why it happens

Redis enforces maxmemory as a hard cap. With an evicting policy it makes room automatically; with noeviction (the default) it refuses writes once the cap is hit, which surfaces as this OOM error on the client. Memory fills because cache keys lack TTLs, one key grows without bound (an ever-growing list or hash), or the dataset simply outgrew the cap.

Edge cases

  • --bigkeys scans the whole keyspace and can be slow on huge instances; sample with it on a replica, or use it during off-peak.
  • Deleting one giant key is instant for the client but Redis reclaims the memory asynchronously; watch used_memory, not just the DEL return.
  • MEMORY USAGE reports one key; extrapolate carefully - a thousand 1MB keys outrank one 400MB key in aggregate.
  • Raising maxmemory past physical RAM just moves the failure to the OS OOM killer, which is worse; keep maxmemory below RAM minus headroom for replication buffers and the OS.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst3SzADjUO7DIzmscKyEJkw

Maintainer review

No maintainer verification is recorded for this version.

This records the version a maintainer checked. It does not assert that the version is the latest upstream release.

Published recentlyPublished Oct 11, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 9, 2027.

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