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Erlang OTP: Distributed & Fault-Tolerant Systems Programming · Lección

Explicación de links y monitors

Distinga entre links y monitors y comprenda su función en la supervisión de procesos y la propagación de señales de salida.

Explicación de links y monitors es una lección gratuita de Erlang OTP: Distributed & Fault-Tolerant Systems Programming en CoddyKit. Esta es la lección 1 de 4. Puedes leer la lección completa abajo gratuitamente — luego la practicas en el navegador con un editor de código integrado y un tutor de IA 24/7. Forma parte de la ruta de aprendizaje de Erlang OTP: Distributed & Fault-Tolerant Systems Programming, y tu progreso se sincroniza en la web y la app de CoddyKit. El curso de Erlang OTP: Distributed & Fault-Tolerant Systems Programming incluye 4 lecciones en total.

Partes de esta lección aún no han sido traducidas y se muestran en inglés.

Introduction to Process Faults

Erlang processes are designed to be isolated. But what happens when one process crashes? How do other processes know, and how can they react?

Understanding how failures propagate is key to building fault-tolerant systems in Erlang. This lesson introduces two fundamental mechanisms: links and monitors.

Process Linking Explained

A link is a bidirectional connection between two Erlang processes. It's like holding hands: if one process goes down (exits), it sends an exit signal to all linked processes.

  • Links are created with spawn_link/1,2,3,4.
  • If a process linked to another process exits normally, the exit signal is normal.
  • If it exits with an error, the exit signal carries the reason for the crash.

Linking: Default Crash Propagation

By default, if a process receives an exit signal (other than normal) from a linked process, it will also terminate with the same reason. This is known as crash propagation.

Try running this example. The child process crashes, and because the parent is linked, it also crashes!

-module(link_example).
-export([start/0]).

start() ->
    ParentPid = self(),
    io:format("Parent (~p) starting...~n", [ParentPid]),
    ChildPid = spawn_link(fun() -> child_process(ParentPid) end),
    io:format("Parent (~p) linked to child (~p).~n", [ParentPid, ChildPid]),
    timer:sleep(5000), % Wait for child to crash
    io:format("Parent (~p) still alive (this won't print if it crashed).~n", [ParentPid]).

child_process(ParentPid) ->
    io:format("Child (~p) started, linked to Parent (~p).~n", [self(), ParentPid]),
    timer:sleep(1000), % Simulate some work
    io:format("Child (~p) crashing now!~n", [self()]),
    exit(i_crashed). % Child exits with an error

Trapping Exits: Handling Failures

While crash propagation is useful for simple 'all or nothing' scenarios, often you want a process to *handle* a linked process's crash, not just die with it. This is where trapping exits comes in.

By setting process_flag(trap_exit, true), a process will convert incoming exit signals from linked processes into {'EXIT', Pid, Reason} messages, which it can then receive and process.

Trapping Exits in Code

Here, the parent process traps exits. When the child crashes, the parent receives an 'EXIT' message instead of crashing itself. This is fundamental for building supervisors!

-module(trap_exit_example).
-export([start/0]).

start() ->
    ParentPid = self(),
    io:format("Parent (~p) starting and trapping exits...~n", [ParentPid]),
    process_flag(trap_exit, true),
    ChildPid = spawn_link(fun() -> child_process(ParentPid) end),
    io:format("Parent (~p) linked to child (~p).~n", [ParentPid, ChildPid]),
    receive
        {'EXIT', ChildPid, Reason} ->
            io:format("Parent (~p) caught exit from child (~p) with reason: ~p~n", [ParentPid, ChildPid, Reason]);
        _ ->
            io:format("Parent (~p) received unexpected message.~n", [ParentPid])
    after 5000 ->
        io:format("Parent (~p) timed out waiting for exit message.~n", [ParentPid])
    end.

child_process(ParentPid) ->
    io:format("Child (~p) started, linked to Parent (~p).~n", [self(), ParentPid]),
    timer:sleep(1000),
    io:format("Child (~p) crashing now!~n", [self()]),
    exit(i_crashed_trapped).

Process Monitoring Explained

A monitor is a unidirectional connection. It allows one process to observe another process for its termination without affecting its own lifecycle.

  • Monitors are created using erlang:monitor(process, Pid).
  • If the monitored process exits, the monitoring process receives a {'DOWN', MonitorRef, process, Pid, Reason} message.
  • The monitoring process does NOT crash by default, even if it doesn't trap exits.

Monitoring in Action: No Crash Propagation

In this example, the parent monitors the child. When the child crashes, the parent receives a 'DOWN' message, but the parent itself remains active and doesn't crash.

-module(monitor_example).
-export([start/0]).

start() ->
    ParentPid = self(),
    io:format("Parent (~p) starting...~n", [ParentPid]),
    ChildPid = spawn(fun() -> child_process() end),
    MonitorRef = erlang:monitor(process, ChildPid),
    io:format("Parent (~p) monitoring child (~p). Monitor ref: ~p~n", [ParentPid, ChildPid, MonitorRef]),
    receive
        {'DOWN', MonitorRef, process, ChildPid, Reason} ->
            io:format("Parent (~p) received DOWN message for child (~p) with reason: ~p~n", [ParentPid, ChildPid, Reason]);
        _ ->
            io:format("Parent (~p) received unexpected message.~n", [ParentPid])
    after 5000 ->
        io:format("Parent (~p) timed out waiting for DOWN message.~n", [ParentPid])
    end,
    io:format("Parent (~p) finished, still alive!~n", [ParentPid]).

child_process() ->
    io:format("Child (~p) started, will crash soon.~n", [self()]),
    timer:sleep(1000),
    io:format("Child (~p) crashing now!~n", [self()]),
    exit(i_crashed_monitored).

Links vs. Monitors: Key Differences

Choosing between links and monitors depends on your fault tolerance strategy. Here's a quick comparison:

  • Links: Bidirectional, default crash propagation, used for tightly coupled processes (e.g., parent-child in a supervision tree).
  • Monitors: Unidirectional, send 'DOWN' messages only, no default crash propagation, used for loosely coupled processes or temporary observation.
  • Links are for when you want processes to 'live or die together' (unless trapping exits). Monitors are for when you just want to 'know if it died'.

When to Use Which?

Links are the foundation of Erlang's supervision trees, where a supervisor is linked to its children and traps exits to restart them. Monitors are often used for situations like checking if a remote service is still active, or for resource cleanup after a process exits.

You can also create a link using erlang:link(Pid) and remove it with erlang:unlink(Pid). Similarly, you can remove a monitor with erlang:demonitor(MonitorRef).

Question: Link or Monitor?

Imagine you are building an Erlang application. In which of the following scenarios would using a monitor be more appropriate than a link?

Recap: Links and Monitors

In this lesson, you've learned about Erlang's core fault tolerance primitives:

  • Links: Bidirectional connections that propagate exit signals, causing default crash propagation.
  • Trapping Exits: A mechanism for linked processes to convert exit signals into messages, allowing them to handle failures.
  • Monitors: Unidirectional connections that send 'DOWN' messages upon termination of the monitored process, without default crash propagation.

These mechanisms are fundamental for building robust, self-healing Erlang applications, forming the bedrock of OTP supervision trees.

Preguntas frecuentes

¿La lección «Explicación de links y monitors» es gratis?

Sí — el texto completo de «Explicación de links y monitors» es gratis para leer aquí en la web. Para practicarla de forma interactiva (editor de código integrado y tutor de IA 24/7) y desbloquear el resto del curso de Erlang OTP: Distributed & Fault-Tolerant Systems Programming, actualiza a CoddyKit PRO. El curso de Erlang OTP: Distributed & Fault-Tolerant Systems Programming incluye 4 lecciones en total.

¿Qué aprenderé en «Explicación de links y monitors»?

Distinga entre links y monitors y comprenda su función en la supervisión de procesos y la propagación de señales de salida. Practicas Erlang OTP: Distributed & Fault-Tolerant Systems Programming con código real que ejecutas directamente en el navegador, y un tutor de IA 24/7 responde tus preguntas mientras trabajas en la lección.

¿Necesito experiencia previa para empezar Erlang OTP: Distributed & Fault-Tolerant Systems Programming?

No se requiere experiencia previa. Erlang OTP: Distributed & Fault-Tolerant Systems Programming en CoddyKit está estructurado para principiantes hasta estudiantes avanzados, así que puedes empezar aquí o desde el inicio y avanzar a tu ritmo. Esta es la lección 1 de 4.

¿Cuánto tiempo toma la lección «Explicación de links y monitors»?

La mayoría de las lecciones de CoddyKit toman alrededor de 5–10 minutos. Cada una es compacta e interactiva, así que avanzas constantemente y retomas exactamente por donde dejaste en la web y la app.

¿Puedo escribir y ejecutar código en esta lección de Erlang OTP: Distributed & Fault-Tolerant Systems Programming?

Sí. Cada lección de Erlang OTP: Distributed & Fault-Tolerant Systems Programming incluye un editor de código integrado, así que escribes y ejecutas código real directamente en tu navegador y obtienes retroalimentación instantánea de IA — sin configuración local necesaria.

Todas las lecciones de este curso

  1. Explicación de links y monitors
  2. Gestión robusta de errores
  3. Diseño basado en el principio crash-first
  4. La filosofía let-it-crash
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