Common ways to optimize the performance of the Go framework: Optimize database queries: use Prepared Statements, index tables, and limit query result sets. Reduce memory allocation: use pointers, reuse buffers, trigger garbage collection manually. Optimize network communication: use connection pools, persistent connections, compressed responses. Concurrency and parallelism: Use coroutines, goroutine pools, and limit concurrent requests. Monitoring and analysis: Use performance monitoring tools, analyze logs and metrics, and conduct benchmarking.
How to solve common performance issues in the Go framework
It is crucial to optimize performance in the Go framework to support high Load and reactive applications. Below is a practical guide to solving common performance problems, complete with code examples.
Optimize database queries
Code example:
stmt, err := db.Prepare("SELECT * FROM users WHERE id = ?") if err != nil { return err } row := stmt.QueryRow(userID)
Reduce memory allocation
*int
instead of int
. bytes.Buffer
. runtime.GC()
to manually trigger garbage collection. Code sample:
ptr := new(int) *ptr = 42
Optimize network communication
Code example:
client := &http.Client{ Transport: &http.Transport{ MaxIdleConns: 10, IdleConnTimeout: 30 * time.Second, TLSHandshakeTimeout: 10 * time.Second, }, }
Concurrency and parallelism
Code sample:
// 限制并发请求 sem := make(chan struct{}, maxConcurrency)
Monitoring and analysis
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