All 7 Redis Performance Tuning & Benchmarking questions
More in Redis Performance Tuning & Benchmarking
What tool does Redis provide for benchmarking its performance, and how do you use it? What is pipelining, and how does it improve throughput when performing many operations against Redis? How does the size of values stored in Redis affect overall performance, and what strategies help manage very large values? How do you use the redis-cli --latency option to measure the round trip time between your client and a Redis server? How would you conduct a thorough performance benchmarking exercise to compare two different Redis configurations before deciding which to use in production? What operating system level tuning settings can affect Redis performance, and how would you optimize them for a production deployment?
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What common commands and usage patterns should generally be avoided because they can cause performance problems on a large Redis dataset?

Intermediate

Answer

You should avoid the KEYS command in favor of SCAN, avoid retrieving an entire very large collection at once when only a portion is actually needed, avoid storing extremely large individual values that take a long time to transfer and process, and avoid running expensive operations like sorting a huge collection frequently without caching the result.
-- Avoid on a large dataset
KEYS *

-- Prefer this instead
SCAN 0 COUNT 100
Real-world example A team notices periodic latency spikes correlate exactly with a monitoring script's scheduled run, discovering it was using KEYS on a large production dataset, and fixes the issue by switching it to SCAN.

Common follow-ups: What other Redis commands have similar performance characteristics to KEYS that should be used carefully?;How do you identify which specific commands are causing performance issues in your application?

Redis CLI & Basic Commands;Redis Monitoring & Observability
All 7 Redis Performance Tuning & Benchmarking questions