Package singleflight provides a generic, context-aware duplicate function call suppression mechanism for Go.
It's an enhanced alternative to the standard golang.org/x/sync/singleflight, designed to solve common concurrency problems with better ergonomics and more intelligent cancellation handling.
A common challenge in high-concurrency applications is the "thundering herd" problem. This issue arises when a single resource is requested by a multitude of clients simultaneously, leading the service to inundate its backend systems with redundant operations. For example, a high-traffic web service might issue thousands of identical queries to a database when a popular user's profile is accessed concurrently, which can easily overload the system.
The standard Go x/sync/singleflight package was designed to solve this by de-duplicating concurrent function calls with the same key, ensuring that an expensive operation is only executed once.
This package builds on that solid foundation by introducing modern Go features. It adds type safety with generics and provides a more sophisticated context cancellation model. This allows for more efficient resource management in complex concurrent applications where multiple callers might have different deadlines or cancellation signals.
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Full Support for Generics: Provides a type-safe API, eliminating the need for type assertions.
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Context Cancellation: The function's context is only canceled when all waiting callers have had their contexts canceled. This prevents premature cancellations while ensuring resources are cleaned up as soon as they are no longer needed.
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Drop-in Enhancement: Offers a familiar API that's easy to adopt for anyone familiar with the standard singleflight.
Here's a simple example of how to protect a function from concurrent calls.
Output:
"Fetching user profile..." was only printed once, and all five goroutines received the same result.
This package is highly performant, with no overhead comparable to the standard library's x/sync/singleflight.
Benchmarks run on a multi-core machine under high contention show the following:
The results show that this implementation is in the same performance class as the standard library, making it a safe and efficient choice for production use.
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