When working with ServerSocket
in Java, developers often encounter several common pitfalls that can lead to issues in their applications. Understanding these mistakes can help improve server performance and reliability. Below are some of the frequent mistakes made by developers, along with a code example that illustrates a better approach.
import java.io.*;
import java.net.*;
public class SimpleServer {
public static void main(String[] args) {
try (ServerSocket serverSocket = new ServerSocket(8080)) {
System.out.println("Server is listening on port 8080");
while (true) {
try {
Socket socket = serverSocket.accept();
new ClientHandler(socket).start();
} catch (IOException ex) {
System.out.println("Error accepting connection: " + ex.getMessage());
}
}
} catch (IOException ex) {
System.out.println("Server exception: " + ex.getMessage());
}
}
}
class ClientHandler extends Thread {
private Socket socket;
public ClientHandler(Socket socket) {
this.socket = socket;
}
public void run() {
try (BufferedReader in = new BufferedReader(new InputStreamReader(socket.getInputStream()));
PrintWriter out = new PrintWriter(socket.getOutputStream(), true)) {
String request = in.readLine();
out.println("Echo: " + request);
} catch (IOException ex) {
System.out.println("Client handler exception: " + ex.getMessage());
} finally {
try {
socket.close();
} catch (IOException ex) {
System.out.println("Error closing socket: " + ex.getMessage());
}
}
}
}
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?