// Example of securely storing sessions in Go using Gorilla sessions
package main
import (
"net/http"
"github.com/gorilla/sessions"
"time"
)
var store = sessions.NewCookieStore([]byte("super-secret-key"))
func setSession(w http.ResponseWriter, r *http.Request) {
session, _ := store.Get(r, "session-name")
session.Values["user"] = "username"
session.Values["loggedIn"] = true
session.Options = &sessions.Options{
Path: "/",
MaxAge: 3600, // 1 hour
HttpOnly: true, // Prevents JavaScript access
Secure: true, // Ensures cookies are sent over HTTPS
}
session.Save(r, w)
}
func getSession(w http.ResponseWriter, r *http.Request) {
session, _ := store.Get(r, "session-name")
user := session.Values["user"]
loggedIn := session.Values["loggedIn"]
// Handle session data
if loggedIn == true {
w.Write([]byte("Welcome " + user.(string)))
} else {
w.Write([]byte("Please log in."))
}
}
func main() {
http.HandleFunc("/set", setSession)
http.HandleFunc("/get", getSession)
http.ListenAndServe(":8080", nil)
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?