panjf2000/ants
Ants
Ants is a goroutine pool library for Go that functions as a concurrent task orchestrator and resource consumption limiter. Its primary purpose is to manage and reuse a pool of goroutines to limit concurrency and reduce the memory allocation overhead associated with frequent thread creation.
The system provides a runtime worker manager capable of adjusting pool capacity dynamically to respond to fluctuating workloads. To maintain stability, it includes panic recovery mechanisms that intercept runtime failures within worker threads to prevent a single failing task from crashing the entire application.
The project covers a broad range of concurrency management capabilities, including asynchronous task submission, task distribution balancing, and task submission throttling via blocking or overload errors. Memory footprint optimization is handled through the periodic removal of idle workers based on time-to-live settings and the preallocation of queue memory.
Features
- Goroutine Pools - Provides a high-performance goroutine pool to manage and reuse long-lived concurrency primitives in Go.
- Dynamic Capacity Adjustment - Modifies the number of active workers at runtime to respond to fluctuating workload demands without restarting the system.
- Dynamic - Adjusts the number of active worker threads at runtime to match fluctuating workload demands without restarting the application.
- Runtime - Provides a runtime worker manager capable of adjusting pool capacity dynamically to respond to fluctuating workloads.
- Go Concurrency Utilities - Executes multiple tasks in Go while limiting the number of active goroutines to prevent system resource exhaustion.
- Concurrent Task Limiters - Executes units of work through a managed pool to keep system resource usage within a specific concurrency limit.
- Asynchronous Task Queueing - Submits work to a pool of workers to control execution flow and prevent system exhaustion.
- Concurrency Limiters - Controls the number of active workers to maintain a stable memory footprint and prevent resource exhaustion.
- Worker Thread Reuse - Maintains a fixed set of reusable worker threads to execute tasks and reduce the overhead of creating new processes.
- Panic Recovery - Intercepts runtime failures within worker threads using recovery handlers to prevent a single task from crashing the entire application.
- Task Submission Throttling - Restricts blocked requests or returns overload errors when the worker pool reaches maximum capacity.
- Worker Pool Management - Allows for dynamic adjustment of pool capacity and internal resource tuning at runtime.
- Idle Worker Expiry - Periodically removes idle background workers based on timestamps to reclaim system memory and reduce resource footprints.
- Memory Optimization Techniques - Automatically removes idle workers and preallocates queue memory to minimize the impact of frequent garbage collection.
- Go Runtime Stability - Intercepts runtime crashes within worker threads to prevent a single failing task from crashing the entire Go program.
- Blocking Task Submission - Implements task submission throttling via blocking or overload errors to prevent system exhaustion.
- High-Throughput Task Processing - Runs a large volume of asynchronous jobs through a reusable pool of workers to reduce memory allocation overhead.
- Execution Dispatchers - Assigns functions to available workers for execution using blocking or non-blocking behavior based on current capacity.
- Idle Resource Cleanup - Removes overdue background workers periodically to reclaim system memory and free up processing resources.
- Task Scheduling and Queues - High-performance goroutine pool.
- Concurrency and Goroutine Management - High-performance goroutine pool for managing concurrent tasks.
- Concurrency Management - High-performance goroutine pool.
- Concurrency Tools - Listed in the “Concurrency Tools” section of the Awesome Go awesome list.
- Utility Libraries - High-performance goroutine pool for Go.
