Common performance bottlenecks in the Go framework include database queries, HTTP requests, I/O operations, JSON marshalling/parsing, and memory leaks. Solutions include optimizing queries, using load balancers, performing I/O operations concurrently, using efficient data transfer formats, and using memory profilers to detect leaks.
Common performance bottlenecks in the Go framework and their solutions
When using the Go framework (such as Gin, Echo and Fiber) When building high-performance applications, you can encounter various bottlenecks. This article explores some common bottlenecks and provides solutions.
1. Database query
Solution Method:
2. HTTP request
Solution:
3. I/O operations
Solution:
4. JSON marshalling and parsing
Solution:
5. Memory leak
Solution:
Practical case
Let us consider the following in the Gin framework Using sample code:func main() { router := gin.Default() router.GET("/", func(c *gin.Context) { result, err := db.Query(`SELECT * FROM users`) if err != nil { c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) return } defer result.Close() users := []User{} for result.Next() { var user User if err := result.Scan(&user.ID, &user.Name, &user.Email); err != nil { c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) return } users = append(users, user) } c.JSON(http.StatusOK, users) }) router.Run(":8080") }
defer statement to close the result before the function returns.
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