A simple and scalable thread pool implementation in Go for managing concurrent task execution.
Threadpool is a Go library that implements a simple and scalable thread pool for managing concurrent task execution. It provides a structured way to handle parallel workloads by using worker goroutines and task queues, making it easier to manage high network traffic or batch processing tasks.
Go developers building applications that require efficient concurrency management, such as network servers, data processors, or any system with parallel task execution needs.
Developers choose Threadpool for its minimal API, idiomatic Go design, and scalability—offering an easy-to-integrate solution without the overhead of building custom concurrency management from scratch.
Golang simple thread pool implementation
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Provides easy-to-use Runnable and Callable interfaces for task definition, allowing developers to implement concurrent tasks without low-level goroutine management, as shown in the README examples.
Configurable worker count and task queue size enable handling of varying workloads, such as setting 200 workers with a 1,000,000 task queue for high-traffic scenarios.
Execute Callable tasks asynchronously and retrieve results via Future objects, offering non-blocking task execution and result handling, demonstrated with the IsDone() and Get() methods.
ScheduledThreadPool supports delayed task execution, useful for timing-based operations, though limited to second-level granularity.
Scheduling delays are restricted to seconds only, as noted in the README, making it unsuitable for applications needing millisecond or microsecond accuracy.
Lacks advanced concurrency controls like error handling mechanisms, task prioritization, or dynamic worker adjustment, which may require custom extensions for complex use cases.
As a GitHub project, it may have less frequent updates or community support compared to standard Go concurrency patterns, introducing potential maintenance risks.