Interview › Databases & Caching
What is pipelining in Redis, and how does it improve throughput?
Databases & Caching · Advanced level
Answer
Pipelining sends multiple commands before waiting for replies, reducing network round trips and increasing throughput. It is a transport optimization, not a transaction, and pipeline size must be bounded.
Technical explanation
Pipelining reduces round trips for many small independent commands.
It does not make Redis execute commands in parallel and does not provide transaction semantics.
Pipeline batch size must be capped to avoid memory pressure and tail-latency spikes.
Hands-on example
Python-style warmup:
pipe = redis.pipeline(transaction=False)
for product in products:
pipe.setex(f"product:v2:{product.id}", 600, serialize(product))
pipe.execute()
Execute every 500 commands instead of building an unbounded pipeline.
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