How do I profile slow queries using pgx?

Learn how to profile slow queries using the pgx library in Go. Improve your application performance by identifying bottlenecks in your database interactions.

pgx, Go, database profiling, slow queries, query optimization, performance tuning


package main

import (
    "context"
    "database/sql"
    "fmt"
    "log"
    "time"

    "github.com/jackc/pgx/v4"
    "github.com/jackc/pgx/v4/pgxpool"
)

func main() {
    ctx := context.Background()

    // Connect to the database with pgx pool
    dbpool, err := pgxpool.Connect(ctx, "postgres://user:password@localhost:5432/mydb")
    if err != nil {
        log.Fatalf("Unable to connect to database: %v\n", err)
    }
    defer dbpool.Close()

    // Start profiling
    start := time.Now()

    // Example of a slow query
    query := "SELECT * FROM my_table WHERE some_column = $1"
    var result string
    err = dbpool.QueryRow(ctx, query, "value").Scan(&result)
    if err != nil {
        log.Fatalf("Query failed: %v\n", err)
    }

    // Measure elapsed time
    elapsed := time.Since(start)
    fmt.Printf("Query executed in %s\n", elapsed)
}
    

pgx Go database profiling slow queries query optimization performance tuning