Go function library performance optimization allocates memory in advance: use make() or new() to pre-allocate memory to avoid allocation overhead. Concurrency safety: Use the sync package to implement concurrency-safe data structures. Reduce the number of function calls: Encapsulate reused operations within functions to avoid unnecessary calls. Practical case: Optimizing hash table search: Use pre-allocated arrays instead of linked lists to improve search efficiency. Optimize the cache mechanism: Use concurrent mapping to improve the performance of concurrent reads and writes to the cache.
Go Function Library Performance Optimization Manual
In Go, function libraries are the key to code reusability and modularity. Optimizing function libraries can improve the overall performance and scalability of your application. This manual provides practical techniques and real-world examples for improving the performance of Go libraries.
Technology
Allocate memory in advance: Use make()
or new ()
Pre-allocate memory to avoid allocating memory during the call.
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Concurrency safety: Use the locks and channels provided by the sync
package to implement concurrency-safe data structures.
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Reduce the number of function calls: Encapsulate reusable operations within functions and call them once in the appropriate context.
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Practical case
Case 1: Optimizing hash table lookup
By using pre- Using an allocated array instead of a linked list to implement the map
structure can significantly improve the performance of hash table lookups.
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Case 2: Optimizing the cache mechanism
Using concurrent mapping with concurrency safety to implement the cache mechanism can improve the performance of concurrent reads and writes to the cache.
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