Remote Procedure Calls (RPC)
Execute functions on remote nodes using RPC, enabling distributed computation and service invocation across a cluster.
Remote Procedure Calls (RPC) is a free Erlang OTP: Distributed & Fault-Tolerant Systems Programming lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Erlang OTP: Distributed & Fault-Tolerant Systems Programming learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
What is Remote Procedure Call?
Imagine you have two Erlang programs running on different machines, or even on the same machine but in separate Erlang "nodes." How do they talk?
Remote Procedure Call (RPC) is a way for one program (the client) to ask another program (the server) to execute a function, just like it would call a local function. The client doesn't need to know the details of network communication.
Erlang's Built-in RPC Module
Erlang makes distributed computing easy with its built-in rpc module. This module provides functions to call or cast computations on remote Erlang nodes.
rpc:call/4: For synchronous calls, meaning the client waits for a reply.rpc:cast/4: For asynchronous calls, where the client doesn't wait for a reply.
These are powerful tools for building distributed applications.
Setting Up for RPC
Before we can use RPC, we need at least two Erlang nodes connected. Each node needs a name and a shared cookie for authentication.
Open two separate terminal windows and start Erlang nodes like this:
- Node 1:
erl -sname server_node -setcookie mysecret - Node 2:
erl -sname client_node -setcookie mysecret
Make sure they can ping each other: net_adm:ping(server_node@yourhostname).
Synchronous RPC with `rpc:call/4`
The rpc:call/4 function is used when you need an immediate answer from the remote node. It takes four arguments:
Node: The name of the remote Erlang node.Module: The module on the remote node where the function resides.Function: The name of the function to execute.Args: A list of arguments for the function.
The calling process will block until it receives a reply or an error.
RPC Call Example: Server Module
Let's create a simple module math_server.erl. Save this code and compile it on server_node:
1. Save as math_server.erl
2. Compile on server_node: c(math_server).
-module(math_server).
-export([add/2, multiply/2]).
add(A, B) ->
A + B.
multiply(A, B) ->
A * B.RPC Call Example: Client Interaction
Now, from client_node, we can call the math_server:add/2 function remotely! Remember to replace yourhostname with your actual machine's hostname.
Type this into client_node's Erlang shell:
rpc:call(server_node@yourhostname, math_server, add, [10, 5]).Understanding RPC Results
When you execute rpc:call/4, Erlang handles the network communication for you. The result of the remote function call is returned directly to the calling process.
If the remote node doesn't exist, the module isn't loaded, or the function crashes, rpc:call/4 will return an error tuple like {badrpc, Reason}. This helps you manage potential issues in your distributed system.
Asynchronous RPC with `rpc:cast/4`
Sometimes you don't need an immediate response from a remote call. You just want to send a request and continue your work. This is where rpc:cast/4 comes in.
rpc:cast/4 works similarly to rpc:call/4 but it's a "fire and forget" operation. The client sends the message and does not wait for a reply, making it non-blocking.
RPC Cast Example: Logger Module
Let's create a simple logger module. Save this as logger.erl and compile it on server_node:
1. Save as logger.erl
2. Compile on server_node: c(logger).
-module(logger).
-export([log_message/1]).
log_message(Message) ->
io:format("~p: Remote log: ~p~n", [self(), Message]).RPC Cast Example: Client Interaction
Now, from client_node, use rpc:cast/4 to send a log message to server_node. Notice that client_node doesn't wait for a response.
Type this into client_node's Erlang shell (replace yourhostname):
You'll see the log message appear on server_node's console!
rpc:cast(server_node@yourhostname, logger, log_message, ["Hello from client!"]).Quick RPC Check
You've learned about synchronous and asynchronous remote procedure calls in Erlang.
Recap: RPC for Distributed Erlang
In this lesson, you explored how Erlang's built-in rpc module enables seamless function execution across different nodes.
- We learned about
rpc:call/4for synchronous, blocking calls when a result is needed. - We also covered
rpc:cast/4for asynchronous, non-blocking calls when no immediate reply is required. - Setting up connected nodes with shared cookies is crucial for RPC to work.
RPC simplifies distributed programming, allowing you to build applications that leverage multiple Erlang nodes easily.
Frequently asked questions
Is the “Remote Procedure Calls (RPC)” lesson free?
Yes — the full text of “Remote Procedure Calls (RPC)” is free to read here on the web, and the Erlang OTP: Distributed & Fault-Tolerant Systems Programming course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Erlang OTP: Distributed & Fault-Tolerant Systems Programming course, upgrade to CoddyKit PRO.
What will I learn in “Remote Procedure Calls (RPC)”?
Execute functions on remote nodes using RPC, enabling distributed computation and service invocation across a cluster. You practise Erlang OTP: Distributed & Fault-Tolerant Systems Programming with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Erlang OTP: Distributed & Fault-Tolerant Systems Programming?
No prior experience is required. Erlang OTP: Distributed & Fault-Tolerant Systems Programming on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Remote Procedure Calls (RPC)” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Erlang OTP: Distributed & Fault-Tolerant Systems Programming lesson?
Yes. Every Erlang OTP: Distributed & Fault-Tolerant Systems Programming lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- Node Communication & Setup
- Remote Procedure Calls (RPC)
- Global Process Registration
- Distribution Security & Cookies