Producer-consumer
The producer-consumer model coordinates components that generate data with components that retrieve and process it, typically through a buffer or queue.
Software Design for Python Programmers
The producer-consumer model is a communication pattern in which producers generate content or data and consumers receive and process it.
- How it is used
- Coordinates concurrent data exchange through bounded queues and distributes published events to independent subscribers.
- How deep it goes
- Explains queue states, waiting, notification, sentinels, and Python thread structure without descending into runtime internals.
- Examples
- Uses Python producers and consumers, a bounded queue, an end sentinel, and baseball hit-event reports.
- What you can do after
- Builds a synchronized Python producer–consumer application with multiple threads and controlled termination.
Read how Software Design for Python Programmers explains producer-consumer →
Grokking Concurrency
The producer-consumer pattern coordinates tasks that generate data with tasks that process that data, typically through a shared buffer or queue.
- How it is used
- Coordinates concurrent producers and consumers around a shared buffer while preventing empty-buffer, full-buffer, and access conflicts.
- How deep it goes
- Explains semaphore counters, blocking conditions, critical sections, and mutex protection, but does not address implementation beyond the basic pattern.
- Examples
- Uses a fixed-size buffer with multiple threads, producer and consumer indices, a mutex, and full and empty semaphores.
- What you can do after
- Build it from scratch in Python using threads, a bounded buffer, semaphores, and a mutex.
Go in Action, Second Edition
A producer-consumer pattern separates components that generate data from components that consume it, allowing them to operate independently.
- How it is used
- Separates background feed fetching from API article delivery to keep user queries responsive.
- How deep it goes
- Explains interfaces, adapters, scheduling, error handling, storage, and graceful shutdown through runnable worker structure.
- Examples
- Uses RSS feeds, a feed-fetching adapter, article storage, an /articles endpoint, and five-minute worker scheduling.
- What you can do after
- Build and operate an independently restartable Go worker that fetches feeds, stores articles, and shuts down cleanly.
Read how Go in Action, Second Edition explains producer-consumer →
Related concepts
- publish/subscribe modelequivalent to · The publish-subscribe model is a messaging pattern in which publishers send messages without addressing specific recipients, and subscribers receive messages according to their interests or subscriptions.
- condition variableaddressed by · A condition variable is a synchronization object that allows threads to wait for a shared-state condition and be notified when it may have changed.
- queueuses · A queue is an ordered collection that holds items for retrieval or processing, typically removing them in the order they were added.
- bufferinguses · Buffering is the temporary storage of data or work between production and consumption to accommodate differences in processing rates, absorb interruptions, or improve transfer efficiency.
- bounded queueuses · A bounded queue is a queue with a finite maximum capacity for stored items.
- asynchronous queueuses · An asynchronous queue holds work for later processing, allowing insertion or retrieval to suspend while waiting for capacity or available items.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.