Producer-Consumer
Decouple data production from data consumption using a shared buffer, allowing each side to operate at its own pace.
errorWhat Problem Does the Producer-Consumer Pattern Solve?
When a producer generates data faster than a consumer can process it (or vice versa), one side blocks the other, creating tight coupling and poor throughput. Directly coupling producer and consumer threads forces them to operate at the slower party's speed, wasting CPU cycles and introducing fragile synchronization logic.
check_circleHow the Producer-Consumer Pattern Works
Introduce a bounded queue between producers and consumers. Producers enqueue items whenever space is available; consumers dequeue and process items independently. The buffer absorbs speed mismatches, and blocking semantics on full/empty conditions provide natural back-pressure without busy-waiting.
Producer-Consumer Pattern Architecture
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Implementation by Language
Producer-Consumer Pattern in the Real World
“Think of a bakery where bakers (producers) place fresh loaves on a display shelf (the queue) and customers (consumers) pick them up at their leisure. The shelf decouples the baking schedule from customer arrival times — bakers keep baking even when no customer is present, and customers keep shopping even when bakers are on break.”
Frequently Asked Questions
helpWhat is the difference between Producer-Consumer and Pub/Sub?
In Producer-Consumer, each message is consumed by exactly one consumer (work distribution). In Pub/Sub, each message is delivered to all subscribers (event broadcasting). Producer-Consumer uses a queue; Pub/Sub uses topics. Choose based on whether you need load balancing or event notification.
helpHow do I handle backpressure in a Producer-Consumer system?
Use a bounded queue (fixed capacity). When the queue is full, the producer either blocks, drops messages, or applies rate limiting. This prevents memory exhaustion when producers outpace consumers. Node.js streams and RxJS both have built-in backpressure mechanisms.