Beginner Topic 11 of 51 Concurrency & Parallelism
Producer-Consumer Pattern
Threads exchanging work through a shared buffer.
How it works
The producer-consumer pattern decouples threads that produce data from threads that consume it using a shared buffer, typically a bounded queue. Producers add items and block when the queue is full, and consumers remove items and block when it is empty, which smooths bursts and applies backpressure. It can be implemented with a mutex and condition variables, semaphores counting empty and full slots or blocking queues such as Java's BlockingQueue and Python's queue module.
Where it is used
Logging pipelines, task schedulers, request handling, data processing stages, network packet handling and UI event queues use it.
Common pitfall
Unbounded queues let fast producers exhaust memory. Incorrect synchronization causes lost items, deadlock or busy waiting. Shutdown requires poison pills or close semantics so consumers do not wait forever. Ordering across multiple consumers is not guaranteed. Choose queue size to balance latency and throughput, handle exceptions in consumers and monitor queue depth.
Where it fits in the course
Producer-Consumer Pattern is topic 11 of 51 in Concurrency & Parallelism, rated Beginner. It follows Condition Variables. The next topic is Atomic Operations.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Concurrency & Parallelism quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Concurrency & Parallelism quiz, and revisit the topic if you miss a question.
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Related topics
- Condition Variables (Concurrency & Parallelism)
- Atomic Operations (Concurrency & Parallelism)
- Read-Write Locks (Concurrency & Parallelism)
- Compare-and-Swap (Concurrency & Parallelism)
- Singleton Pattern (Software Engineering)
- Factory Pattern (Software Engineering)
- Observer Pattern (Software Engineering)