Work queue pattern
The work queue pattern stores pending units of work for workers or processors to retrieve and process, often asynchronously.
C# Concurrency: Asynchronous and multithreaded programming
The work queue pattern coordinates producers and background consumers by placing work items in a queue for later processing.
- How it is used
- Coordinates sustained server workloads by limiting background processing to one or a small fixed number of consumer threads.
- How deep it goes
- Explains queue operations, consumer blocking, shutdown, and failure handling, but defers persistent-queue implementation details.
- Examples
- Uses a mail-merge queue that stores recipient data, sends messages in the background, and logs individual failures.
- What you can do after
- Operate a C# background work queue with BlockingCollection<T>, orderly shutdown, and per-item failure handling.
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Kubernetes in Action, Second Edition
A work queue is a collection of pending work items from which workers retrieve tasks for processing.
- How it is used
- Deploys dynamically assigned batch work through Kubernetes Jobs whose containers retrieve items from an externally implemented queue.
- How deep it goes
- Explains queue ownership, worker retrieval, coarse and fine parallelism, and completion behavior without specifying queue internals beyond MongoDB examples.
- Examples
- Demonstrates a MongoDB monthsToProcess collection, single-item workers, whole-queue workers, and coarse or fine Job manifests.
- What you can do after
- Build it from scratch by creating a queue, implementing item retrieval in a container, and selecting coarse or fine Job parallelism.
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Rust in Action: Systems programming concepts and techniques
A task queue is a pattern in which tasks are submitted independently of their processing and are later retrieved by worker threads.
- How it is used
- Separates task creation from processing while worker threads retrieve independently submitted tasks.
- How deep it goes
- Explains shared-memory locking and channel endpoints, then demonstrates sending, receiving, worker loops, and task messages.
- Examples
- Uses integer messages, ping-pong connectivity checks, and a render-hex queue containing Task and Finished messages.
- What you can do after
- Build it from scratch with crossbeam channels and spawned Rust threads to route work and responses.
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Bootstrapping Microservices, Second Edition: With Docker, Kubernetes, GitHub Actions, and Terraform
A job queue is a processing pattern that records and schedules heavyweight tasks for asynchronous execution and retry after failure.
- How it is used
- Handles heavyweight asynchronous work in microservices architectures without blocking the operation that creates each job.
- How deep it goes
- Explains database persistence, crash recovery, failed-job retry, and workload control, but stops short of implementation details.
- Examples
- Uses video thumbnail generation, lower-resolution conversion, and a surge of 1,000 simultaneous uploads.
- What you can do after
- Operate deferred processing that survives application crashes and retries jobs whose workers fail.
Related concepts
- queuecontrasts with · A queue is an ordered collection that holds items for retrieval or processing, typically removing them in the order they were added.
- channelused by · A channel is a medium, mechanism, or pathway through which information or messages are conveyed between participants or endpoints.
- microservice architecturekind of · Microservice architecture is a software architectural style that organizes an application as independently deployable services with focused responsibilities that communicate through defined interfaces.
- jobused by · A Kubernetes Job is a workload resource that runs Pods for a finite task and tracks execution until the required successful completions are reached.
- work stealingused by · Work stealing is a dynamic scheduling strategy that redistributes pending tasks to idle workers to balance workloads and improve utilization.
- Markov chainuses · A Markov chain is a stochastic process of states whose transition probabilities depend on the current state rather than the full preceding history.
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