Dev
Redis Command Generator
Redis offers five data structures for five different problems, but it is easy to reach for a plain string key when a sorted set or hash would be faster and more correct. This tool generates real, runnable Redis commands for a specific pattern so you use the right structure from the start. Pick a pattern — Cache with TTL, Rate limiter, Leaderboard (sorted set), Queue (list), or Session hash — and enter a key prefix. Each pattern returns the commands that define the full interaction: the cache pattern shows `SET` with `EX`, `GET`, and `TTL`; the rate limiter uses `INCR` and `EXPIRE NX`; the leaderboard uses `ZADD`, `ZREVRANGE WITHSCORES`, and `ZRANK`; the queue uses `LPUSH` and `BRPOP`; the session hash uses `HSET`, `EXPIRE`, and `HGETALL`. Paste the commands into `redis-cli`, swap the placeholder keys and values for your real ones, and adjust TTL values to match your caching policy.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Pick the Redis pattern you need.
- Enter a key prefix for your app.
- Click Generate to produce the commands.
- Paste them into redis-cli and adjust keys and TTLs.
Use Cases
- •Setting up a cache key with a sensible expiration
- •Building a simple fixed-window rate limiter
- •Modelling a leaderboard with a sorted set
- •Implementing a job queue with a Redis list
- •Storing a session as a hash with a TTL
Tips
- →Namespace keys with a prefix and colons for easy scanning.
- →Always set a TTL on cache entries to bound memory use.
- →Use a Lua script when you need several commands to be atomic.
- →Prefer BRPOP over polling for an efficient queue consumer.
FAQ
why set a TTL on cache and session keys
`EX` on `SET` and `EXPIRE` on hash keys make Redis automatically discard stale entries after a fixed duration, so abandoned sessions and expired caches do not accumulate in memory indefinitely.
why use a sorted set for a leaderboard
A sorted set keeps members ordered by score in O(log N) time. Reading the top N players is a single `ZREVRANGE` call and updating a score is atomic via `ZADD`. Doing this with plain string keys would require sorting in application code on every read.
is the rate limiter pattern production-ready
The fixed-window `INCR` + `EXPIRE NX` pattern is a solid starting point but has an edge case at window boundaries where up to 2× the limit can pass briefly. For precision limiting, consider a sliding-window approach using a Lua script for atomicity.
why use BRPOP instead of RPOP for the queue
`BRPOP` blocks the connection until a job is available, eliminating polling and reducing latency to near-zero. `RPOP` requires your consumer to poll on a timer, which wastes CPU and adds delay between push and process.
You might also like
Popular tools from other categories that share themes with this one.
Try these next
More free tools from other corners of the catalog, picked by shared themes.