How do you use pipelining in a Redis client library to reduce the overhead of sending many commands to the server?

Intermediate

Answer

Pipelining lets you batch several commands together and send them to Redis in a single network round trip, rather than waiting for a response after each individual command, which significantly reduces the cumulative network latency overhead when you need to perform many operations at once.

pipe = redis.pipeline()
pipe.set('key1', 'value1')
pipe.set('key2', 'value2')
pipe.set('key3', 'value3')
pipe.execute()

Real-world example A data import process uses pipelining to insert ten thousand records into Redis, completing in a fraction of the time it would have taken to send each command as a separate individual network round trip.

Common follow-ups: What is the difference between pipelining and a Redis transaction?;Is there a practical limit to how many commands should be batched in a single pipeline?

Transactions;Redis Performance Tuning & Benchmarking

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