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)
}
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