README.md

API reference

Eio -- Effects-Based Parallel IO for OCaml

Eio provides an effects-based direct-style IO stack for OCaml 5.0. It aims to be easy to use, secure, well documented, and fast. A generic cross-platform API is implemented by optimised backends for different platforms. Eio replaces existing concurrency libraries such as Lwt (Eio and Lwt libraries can also be used together).

Contents

• Motivation
• Current Status
• Structure of the Code
• Getting OCaml 5.0
• Getting Eio
• Running Eio
• Testing with Mocks
• Fibers
• Tracing
• Cancellation
• Racing
• Switches
• Design Note: Results vs Exceptions
• Performance
• Networking
• Design Note: Capabilities
• Buffered Reading and Parsing
• Buffered Writing
• Filesystem Access
• Time
• Multicore Support
• Synchronisation Tools
  • Promises
  • Example: Concurrent Cache
  • Streams
  • Example: Worker Pool
• Design Note: Determinism
• Provider Interfaces
• Example Applications
• Integrations
  • Async
  • Lwt
  • Unix and System Threads
• Further Reading

Motivation

The Unix library provided with OCaml uses blocking IO operations, and is not well suited to concurrent programs such as network services or interactive applications. For many years, the solution to this has been libraries such as Lwt and Async, which provide a monadic interface. These libraries allow writing code as if there were multiple threads of execution, each with their own stack, but the stacks are simulated using the heap.

OCaml 5.0 adds support for "effects", removing the need for monadic code here. Using effects brings several advantages:

1. It's faster, because no heap allocations are needed to simulate a stack.
2. Concurrent code can be written in the same style as plain non-concurrent code.
3. Because a real stack is used, backtraces from exceptions work as expected.
4. Other features of the language (such as try ... with ...) can be used in concurrent code.

Additionally, modern operating systems provide high-performance alternatives to the old Unix select call. For example, Linux's io_uring system has applications write the operations they want to perform to a ring buffer, which Linux handles asynchronously.

Due to this, we anticipate many OCaml users will want to rewrite their IO code once OCaml 5.0 is released. It would be very beneficial to use this opportunity to standardise a single concurrency API for OCaml, and we hope that Eio will be that API.

Current Status

Platform support:

• Unix and macos: should be fully working using the libuv backend.
• Linux: can additionally use io_uring for better performance on recent kernels.
• Windows: should be mostly working - see #123 for remaining tasks.
• MirageOS: waiting for ocaml-freestanding to be updated to OCaml 5.0.
• Browsers: waiting for js_of_ocaml to be updated to OCaml 5.0.

Feature status:

• Concurrency primitives: Fibers, cancellation, promises, streams and semaphores are all working.
• Multicore support: Working.
• Networking: Clients and servers using TCP, UDP and Unix domain sockets work.
• File-systems: Can create files and directories, load, save, parse, etc. Most other operations missing.
• Spawning sub-processes: Not implemented yet.

See Awesome Multicore OCaml for links to work migrating other projects to Eio.

If you'd like to help out, please try porting your program to use Eio and submit PRs or open issues when you find problems. Remember that you can always fall back to using Lwt libraries to provide missing features if necessary.

Structure of the Code

• Eio provides concurrency primitives (promises, etc.) and a high-level, cross-platform OS API.
• Eio_luv provides a cross-platform backend for these APIs using luv (libuv).
• Eio_linux provides a Linux io-uring backend for these APIs, plus a low-level API that can be used directly (in non-portable code).
• Eio_main selects an appropriate backend (e.g. eio_linux or eio_luv), depending on your platform.

Getting OCaml 5.0

You'll need OCaml 5.0.0~alpha0 or later. You can either install it yourself or build the included Dockerfile.

To install it yourself:

1. Make sure you have opam 2.1 or later (run opam --version to check).

2. Use opam to install OCaml 5.0.0~alpha0 or later:

   opam switch create 5.0.0~alpha0 --repo=default,alpha=git+https://github.com/kit-ty-kate/opam-alpha-repository.git
   

Getting Eio

If you want to run the latest development version from Git, run these commands (otherwise, skip them and you'll get the latest release from opam):

git clone https://github.com/ocaml-multicore/eio.git
cd eio
opam pin -yn .

Either way, install eio_main (and utop if you want to try it interactively):

opam install eio_main utop

Running Eio

Try out the examples interactively by running utop in the shell.

First require the eio_main library. It's also convenient to open the Eio.Std module, as follows. (The leftmost # shown below is the Utop prompt, so enter the text after the prompt and return after each line.)

# #require "eio_main";;
# open Eio.Std;;

This function writes a greeting to stdout using Eio.Flow:

let main ~stdout =
  Eio.Flow.copy_string "Hello, world!\n" stdout

We use Eio_main.run to run the event loop and call main from there:

# Eio_main.run @@ fun env ->
  main ~stdout:(Eio.Stdenv.stdout env);;
Hello, world!
- : unit = ()

Note that:

• The env argument represents the standard environment of a Unix process, allowing it to interact with the outside world. A program will typically start by extracting from env whatever things the program will need and then calling main with them.

• The type of the main function here tells us that this program only interacts via stdout.

• Eio_main.run automatically calls the appropriate run function for your platform. For example, on Linux this will call Eio_linux.run. For non-portable code you can use the platform-specific library directly.

Testing with Mocks

Because external resources are provided to main as arguments, we can easily replace them with mocks for testing. For example, instead of giving main the real standard output, we can have it write to a buffer:

# Eio_main.run @@ fun _env ->
  let buffer = Buffer.create 20 in
  main ~stdout:(Eio.Flow.buffer_sink buffer);
  traceln "Main would print %S" (Buffer.contents buffer);;
+Main would print "Hello, world!\n"
- : unit = ()

Eio.traceln provides convenient printf-style debugging, without requiring you to plumb stderr through your code. It uses the Format module, so you can use the extended formatting directives here too.

The Eio_mock library provides some convenient pre-built mocks:

# #require "eio.mock";;
# Eio_main.run @@ fun _env ->
  let mock_stdout = Eio_mock.Flow.make "mock-stdout" in
  main ~stdout:mock_stdout;;
+mock-stdout: wrote "Hello, world!\n"
- : unit = ()

Fibers

Here's an example running two threads of execution concurrently using Eio.Fiber:

let main _env =
  Fiber.both
    (fun () -> for x = 1 to 3 do traceln "x = %d" x; Fiber.yield () done)
    (fun () -> for y = 1 to 3 do traceln "y = %d" y; Fiber.yield () done);;

# Eio_main.run main;;
+x = 1
+y = 1
+x = 2
+y = 2
+x = 3
+y = 3
- : unit = ()

The two fibers run on a single core, so only one can be running at a time. Calling an operation that performs an effect (such as yield) can switch to a different thread.

Tracing

The library can write traces in CTF format, showing when threads (fibers) are created, when they run, and how they interact. We can run the previous code with tracing enabled (writing to a new trace.ctf file) like this:

# let () =
    Eio_unix.Ctf.with_tracing "trace.ctf" @@ fun () ->
    Eio_main.run main;;
+x = 1
+y = 1
+x = 2
+y = 2
+x = 3
+y = 3

The trace can be viewed using mirage-trace-viewer. This should work even while the program is still running. The file is a ring buffer, so when it gets full, old events will start to be overwritten with new ones.

This shows the two counting threads as two horizonal lines. The white regions indicate when each thread was running. Note that the output from traceln appears in the trace as well as on the console.

Cancellation

Every fiber has a cancellation context. If one of the Fiber.both fibers fails, the other is cancelled:

# Eio_main.run @@ fun _env ->
  Fiber.both
    (fun () -> for x = 1 to 3 do traceln "x = %d" x; Fiber.yield () done)
    (fun () -> failwith "Simulated error");;
+x = 1
Exception: Failure "Simulated error".

What happened here was:

1. Fiber.both created a new cancellation context for the child fibers.
2. The first fiber ran, printed x = 1 and yielded.
3. The second fiber raised an exception.
4. Fiber.both caught the exception and cancelled the context.
5. The first thread's yield raised a Cancelled exception there.
6. Once both threads had finished, Fiber.both re-raised the original exception.

There is a tree of cancellation contexts for each domain, and every fiber is in one context. When an exception is raised, it propagates towards the root until handled, cancelling the other branches as it goes. You should assume that any operation that can switch fibers can also raise a Cancelled exception if an uncaught exception reaches one of its ancestor cancellation contexts.

If you want to make an operation non-cancellable, wrap it with Cancel.protect (this creates a new context that isn't cancelled with its parent).

Racing

Fiber.first returns the result of the first fiber to finish, cancelling the other one:

# Eio_main.run @@ fun _env ->
  let x =
    Fiber.first
      (fun () ->
        traceln "first fiber delayed...";
        Fiber.yield ();
        traceln "delay over";
        "a"
      )
      (fun () -> "b")
  in
  traceln "x = %S" x;;
+first fiber delayed...
+x = "b"
- : unit = ()

Switches

A switch is used to group fibers together, so they can be waited on together. This is a form of structured concurrency. For example:

# Eio_main.run @@ fun _env ->
  Switch.run (fun sw ->
    Fiber.fork ~sw
      (fun () -> for i = 1 to 3 do traceln "i = %d" i; Fiber.yield () done);
    traceln "First thread forked";
    Fiber.fork ~sw
      (fun () -> for j = 1 to 3 do traceln "j = %d" j; Fiber.yield () done);
    traceln "Second thread forked; top-level code is finished"
  );
  traceln "Switch is finished";;
+i = 1
+First thread forked
+j = 1
+Second thread forked; top-level code is finished
+i = 2
+j = 2
+i = 3
+j = 3
+Switch is finished
- : unit = ()

Switch.run fn creates a new switch sw and runs fn sw. fn may spawn new fibers and attach them to the switch. It may also attach other resources such as open file handles. Switch.run waits until fn and all other attached fibers have finished, and then releases any attached resources (e.g. closing all attached file handles).

If you call a function without giving it access to a switch, then when the function returns you can be sure that any fibers it spawned have finished, and any files it opened have been closed. This works because Eio does not provide e.g. a way to open a file without attaching it to a switch. If a function doesn't have a switch and wants to open a file, it must use Switch.run to create one. But then the function can't return until Switch.run does, at which point the file is closed.

So, a Switch.run puts a bound on the lifetime of things created within it, leading to clearer code and avoiding resource leaks. The Fiber.fork call above creates a new fiber that continues running after fork returns, so it needs to take a switch argument.

Every switch also creates a new cancellation context. You can use Switch.fail to mark the switch as failed and cancel all fibers within it. The exception (or exceptions) passed to fail will be raised by run when the fibers have exited.

You can also use Fiber.fork_sub to create a child sub-switch. Turning off the parent switch will also turn off the child switch, but turning off the child doesn't disable the parent.

For example, a web-server might use one switch for the whole server and then create one sub-switch for each incoming connection. This allows you to end all fibers handling a single connection by turning off that connection's switch, or to exit the whole application using the top-level switch.

Design Note: Results vs Exceptions

The OCaml standard library uses exceptions to report errors in most cases. Many libraries instead use the result type, which has the advantage of tracking the possible errors in the type system. However, using result is slower, as it requires more allocations, and explicit code to propagate errors.

As part of the effects work, OCaml is expected to gain a typed effects extension to the type system, allowing it to track both effects and exceptions statically. In anticipation of this, the Eio library prefers to use exceptions in most cases, reserving the use of result for cases where the caller is likely to want to handle the problem immediately rather than propagate it.

Performance

As mentioned above, Eio allows you to supply your own implementations of its abstract interfaces. This is in contrast to OCaml's standard library, which only operates on OS file descriptors. You might wonder what the performance impact of this is. Here's a simple implementation of cat using the standard OCaml functions:

# let () =
    let buf = Bytes.create 4096 in
    let rec copy () =
      match input stdin buf 0 4096 with
      | 0 -> ()
      | got ->
        output stdout buf 0 got;
        copy ()
    in
    copy ();;

And here is the equivalent using Eio:

# let () =
    Eio_main.run @@ fun env ->
    Eio.Flow.copy
      (Eio.Stdenv.stdin env)
      (Eio.Stdenv.stdout env);;

Testing on a fresh 10G file with pv on my machine gives:

$ truncate -s 10G dummy

$ cat_ocaml_unix.exe <dummy | pv >/dev/null
10.0GiB 0:00:04 [2.33GiB/s]

$ cat                <dummy | pv >/dev/null
10.0GiB 0:00:04 [2.42GiB/s]

$ cat_ocaml_eio.exe  <dummy | pv >/dev/null
10.0GiB 0:00:03 [3.01GiB/s]

Eio.Flow.copy src dst asks dst to copy from src. As dst here is a Unix file descriptor, it first calls the probe method on the src object to check whether it is too. Discovering that src is also a file descriptor, it switches to a faster code path optimised for that case. On my machine, this code path uses the Linux-specific splice system call for maximum performance.

Note that not all cases are well-optimised yet, but the idea is for each backend to choose the most efficient way to implement the operation.

Networking

Eio provides an API for networking. Here is a client that connects to address addr using network net and sends a message:

let run_client ~net ~addr =
  traceln "Connecting to server...";
  Switch.run @@ fun sw ->
  let flow = Eio.Net.connect ~sw net addr in
  Eio.Flow.copy_string "Hello from client" flow

Note: the flow is attached to sw and will be closed automatically when it finishes.

We can test it using a mock network:

# Eio_main.run @@ fun _env ->
  let net = Eio_mock.Net.make "mocknet" in
  let socket = Eio_mock.Flow.make "socket" in
  Eio_mock.Net.on_connect net [`Return socket];
  run_client ~net ~addr:(`Tcp (Eio.Net.Ipaddr.V4.loopback, 8080));; 
+Connecting to server...
+mocknet: connect to tcp:127.0.0.1:8080
+socket: wrote "Hello from client"
+socket: closed
- : unit = ()

Here is a server that listens on socket and handles a single connection by reading a message:

let run_server socket =
  Switch.run @@ fun sw ->
  Eio.Net.accept_fork socket ~sw (fun flow _addr ->
    traceln "Server accepted connection from client";
    let b = Buffer.create 100 in
    Eio.Flow.copy flow (Eio.Flow.buffer_sink b);
    traceln "Server received: %S" (Buffer.contents b)
  ) ~on_error:(traceln "Error handling connection: %a" Fmt.exn);
  traceln "(normally we'd loop and accept more connections here)"

Notes:

• accept_fork handles the connection in a new fiber.
• Normally, a server would call accept_fork in a loop to handle multiple connections.
• When the handler passed to accept_fork finishes, flow is closed automatically.

This can also be tested on its own using a mock network:

# Eio_main.run @@ fun _env ->
  let listening_socket = Eio_mock.Net.listening_socket "tcp/80" in
  let mock_addr = `Tcp (Eio.Net.Ipaddr.V4.loopback, 37568) in
  let connection = Eio_mock.Flow.make "connection" in
  Eio_mock.Net.on_accept listening_socket [`Return (connection, mock_addr)];
  Eio_mock.Flow.on_read connection [
    `Return "(packet 1)";
    `Yield_then (`Return "(packet 2)");
    `Raise End_of_file;
  ];
  run_server listening_socket;;
+tcp/80: accepted connection from tcp:127.0.0.1:37568
+Server accepted connection from client
+connection: read "(packet 1)"
+(normally we'd loop and accept more connections here)
+connection: read "(packet 2)"
+Server received: "(packet 1)(packet 2)"
+connection: closed
- : unit = ()

We can now run them together using the real network (in a single process) using Fiber.both:

let main ~net ~addr =
  Switch.run @@ fun sw ->
  let server = Eio.Net.listen net ~sw ~reuse_addr:true ~backlog:5 addr in
  traceln "Server ready...";
  Fiber.both
    (fun () -> run_server server)
    (fun () -> run_client ~net ~addr)

# Eio_main.run @@ fun env ->
  main
    ~net:(Eio.Stdenv.net env)
    ~addr:(`Tcp (Eio.Net.Ipaddr.V4.loopback, 8080));;
+Server ready...
+Connecting to server...
+Server accepted connection from client
+(normally we'd loop and accept more connections here)
+Server received: "Hello from client"
- : unit = ()

Design Note: Capabilities

Eio follows the principles of capability-based security. The key idea here is that the lambda calculus already contains a perfectly good security system: a function can only access things that are in its scope. If we can avoid breaking this model (for example, by adding global variables to our language) then we can reason about the security properties of code quite easily.

Consider the network example in the previous section. Imagine this is a large program and we want to know:

1. Does this program modify the filesystem?
2. Does this program send telemetry data over the network?

In a capability-safe language, we don't have to read the entire code-base to find the answers:

• All authority starts at the (privileged) Eio_main.run function with the env parameter, so we must check this code.

• Only env's network access is used, so we know this program doesn't access the filesystem, answering question 1 immediately.

• To check whether telemetry is sent, we need to follow the net authority as it is passed to main.

• main uses net to open a listening socket on the loopback interface, which it passes to run_server. run_server does not get the full net access, so we probably don't need to read that code; however, we might want to check whether we granted other parties access to this port on our loopback network.

• run_client does get net, so we do need to read that. We could make that code easier to audit by passing it (fun () -> Eio.Net.connect net addr) instead of net . Then we could see that run_client could only connect to our loopback address.

Some key features required for a capability system are:

1. The language must be memory-safe. OCaml allows all code to use e.g. Obj.magic or Array.unsafe_set.

2. The default scope must not provide access to the outside world. OCaml's Stdlib.open_in gives all code access to the file-system.

3. No top-level mutable state. In OCaml, if two libraries use a module Foo with top-level mutable state, then they could communicate using that without first being introduced to each other by the main application code.

4. APIs should make it easy to restrict access. For example, having a "directory" should allow access to that sub-tree of the file-system only. If the file-system abstraction provides a get_parent function then access to any directory is equivalent to access to everything.

Since OCaml is not a capability language, code can ignore Eio and use the non-capability APIs directly. However, it still makes non-malicious code easier to understand and test and may allow for an extension to the language in the future. See Emily for a previous attempt at this.

Buffered Reading and Parsing

Reading from an Eio flow directly may give you more or less data than you wanted. For example, if you want to read a line of text from a TCP stream, the flow will tend to give you the data in packet-sized chunks, not lines. To solve this, you can wrap the flow with a buffer and read from that.

Here's a simple command-line interface that reads stdin one line at a time:

let cli ~stdin ~stdout =
  let buf = Eio.Buf_read.of_flow stdin ~initial_size:100 ~max_size:1_000_000 in
  while true do
    let line = Eio.Buf_read.line buf in
    traceln "> %s" line;
    match line with
    | "h" | "help" -> Eio.Flow.copy_string "It's just an example\n" stdout
    | x -> Eio.Flow.copy_string (Fmt.str "Unknown command %S\n" x) stdout
  done

Let's try it with some test data (you could use the real stdin if you prefer):

# Eio_main.run @@ fun env ->
  cli
    ~stdin:(Eio.Flow.string_source "help\nexit\nquit\nbye\nstop\n")
    ~stdout:(Eio.Stdenv.stdout env);;
+> help
It's just an example
+> exit
Unknown command "exit"
+> quit
Unknown command "quit"
+> bye
Unknown command "bye"
+> stop
Unknown command "stop"
Exception: End_of_file.

Buf_read.of_flow allocates an internal buffer (with the given initial_size). When you try to read a line from it, it will take a whole line from the buffer if possible. If not, it will ask the underlying flow for the next chunk of data, until it has enough.

For high performance applications, you should use a larger initial buffer so that fewer reads on the underlying flow are needed.

If the user enters a line that doesn't fit in the buffer then the buffer will be enlarged as needed. However, it will raise an exception if the buffer would need to grow above max_size. This is useful when handling untrusted input, since otherwise when you try to read one line an attacker could just keep sending e.g. 'x' characters until your service ran out of memory and crashed.

As well as calling individual parsers (like line) directly, you can also build larger parsers from smaller ones. For example:

open Eio.Buf_read.Syntax

type message = { src : string; body : string }

let message =
  let+ src = Eio.Buf_read.(string "FROM:" *> line) 
  and+ body = Eio.Buf_read.take_all in
  { src; body }

# Eio_main.run @@ fun _ ->
  let flow = Eio.Flow.string_source "FROM:Alice\nHello!\n" in
  match Eio.Buf_read.parse message flow ~max_size:1024 with
  | Ok { src; body } -> traceln "%s sent %S" src body
  | Error (`Msg err) -> traceln "Parse failed: %s" err;;
+Alice sent "Hello!\n"
- : unit = ()

Buffered Writing

For performance, it's often useful to batch up writes and send them all in one go. For example, consider sending an HTTP response without buffering:

let send_response socket =
  Eio.Flow.copy_string "200 OK\r\n" socket;
  Eio.Flow.copy_string "\r\n" socket;
  Fiber.yield ();       (* Simulate waiting for the body *)
  Eio.Flow.copy_string "Body data" socket

# Eio_main.run @@ fun _ ->
  send_response (Eio_mock.Flow.make "socket");;
+socket: wrote "200 OK\r\n"
+socket: wrote "\r\n"
+socket: wrote "Body data"
- : unit = ()

The socket received three writes, perhaps sending three separate packets over the network. We can wrap a flow with Eio.Buf_write to avoid this:

module Write = Eio.Buf_write

let send_response socket =
  Write.with_flow socket @@ fun w ->
  Write.string w "200 OK\r\n";
  Write.string w "\r\n";
  Fiber.yield ();       (* Simulate waiting for the body *)
  Write.string w "Body data"

# Eio_main.run @@ fun _ ->
  send_response (Eio_mock.Flow.make "socket");;
+socket: wrote "200 OK\r\n"
+              "\r\n"
+socket: wrote "Body data"
- : unit = ()

Now the first two writes were combined and sent together.

Filesystem Access

Access to the filesystem is controlled by capabilities, and env provides two:

• fs provides full access (just like OCaml's stdlib).
• cwd restricts access to files beneath the current working directory.

You can save a whole file using Dir.save:

# Eio_main.run @@ fun env ->
  let dir = Eio.Stdenv.cwd env in
  Eio.Dir.save ~create:(`Exclusive 0o600) dir "test.txt" "line one\nline two\n";;
- : unit = ()

For more control, use Dir.open_out (or with_open_out) to get a flow.

To load a file, you can use load to read the whole thing into a string, Dir.open_in (or with_open_in) to get a flow, or Dir.with_lines to stream the lines (a convenience function that uses Buf_read.lines):

# Eio_main.run @@ fun env ->
  let dir = Eio.Stdenv.cwd env in
  Eio.Dir.with_lines dir "test.txt" (fun lines ->
     Seq.iter (traceln "Processing %S") lines
  );;
+Processing "line one"
+Processing "line two"
- : unit = ()

Access to cwd only grants access to that sub-tree:

let try_save dir path data =
  match Eio.Dir.save ~create:(`Exclusive 0o600) dir path data with
  | () -> traceln "save %S -> ok" path
  | exception ex -> traceln "save %S -> %a" path Fmt.exn ex

let try_mkdir dir path =
  match Eio.Dir.mkdir dir path ~perm:0o700 with
  | () -> traceln "mkdir %S -> ok" path
  | exception ex -> traceln "mkdir %S -> %a" path Fmt.exn ex

# Eio_main.run @@ fun env ->
  let cwd = Eio.Stdenv.cwd env in
  try_mkdir cwd "dir1";
  try_mkdir cwd "../dir2";
  try_mkdir cwd "/tmp/dir3";;
+mkdir "dir1" -> ok
+mkdir "../dir2" -> Eio__Dir.Permission_denied("../dir2", _)
+mkdir "/tmp/dir3" -> Eio__Dir.Permission_denied("/tmp/dir3", _)
- : unit = ()

The checks also apply to following symlinks:

# Unix.symlink "dir1" "link-to-dir1"; Unix.symlink "/tmp" "link-to-tmp";;
- : unit = ()

# Eio_main.run @@ fun env ->
  let cwd = Eio.Stdenv.cwd env in
  try_save cwd "dir1/file1" "A";
  try_save cwd "link-to-dir1/file2" "B";
  try_save cwd "link-to-tmp/file3" "C";;
+save "dir1/file1" -> ok
+save "link-to-dir1/file2" -> ok
+save "link-to-tmp/file3" -> Eio__Dir.Permission_denied("link-to-tmp/file3", _)
- : unit = ()

You can use open_dir (or with_open_dir) to create a restricted capability to a subdirectory:

# Eio_main.run @@ fun env ->
  let cwd = Eio.Stdenv.cwd env in
  Eio.Dir.with_open_dir cwd "dir1" @@ fun dir1 ->
  try_save dir1 "file4" "D";
  try_save dir1 "../file5" "E";;
+save "file4" -> ok
+save "../file5" -> Eio__Dir.Permission_denied("../file5", _)
- : unit = ()

You only need to use open_dir if you want to create a new sandboxed environment. You can use a single directory object to access all paths beneath it, and this allows following symlinks within that subtree.

A program that operates on the current directory will probably want to use cwd, whereas a program that accepts a path from the user will probably want to use fs, perhaps with open_dir to constrain all access to be within that directory.

Note: the eio_luv backend doesn't have the openat, mkdirat, etc., calls that are necessary to implement these checks without races, so be careful if symlinks out of the subtree may be created while the program is running.

Time

The standard environment provides a clock with the usual POSIX time:

# Eio_main.run @@ fun env ->
  let clock = Eio.Stdenv.clock env in
  traceln "The time is now %f" (Eio.Time.now clock);
  Eio.Time.sleep clock 1.0;
  traceln "The time is now %f" (Eio.Time.now clock);;
+The time is now 1623940778.270336
+The time is now 1623940779.270336
- : unit = ()

You might like to replace this clock with a mock for tests. In fact, this README does just that! See doc/prelude.ml for the fake clock used in the example above.

Multicore Support

Fibers are scheduled cooperatively within a single domain, but you can also create new domains that run in parallel. This is useful to perform CPU-intensive operations quickly. For example, let's say we have a CPU intensive task:

let sum_to n =
  traceln "Starting CPU-intensive task...";
  let total = ref 0 in
  for i = 1 to n do
    total := !total + i
  done;
  traceln "Finished";
  !total

We can use Eio.Domain_manager to run this in a separate domain:

let main ~domain_mgr =
  let test n =
    traceln "sum 1..%d = %d" n
      (Eio.Domain_manager.run domain_mgr
        (fun () -> sum_to n))
  in
  Fiber.both
    (fun () -> test 100000)
    (fun () -> test 50000)

# Eio_main.run @@ fun env ->
  main ~domain_mgr:(Eio.Stdenv.domain_mgr env);;
+Starting CPU-intensive task...
+Starting CPU-intensive task...
+Finished
+sum 1..50000 = 1250025000
+Finished
+sum 1..100000 = 5000050000
- : unit = ()

Notes:

• traceln can be used safely from multiple domains. It takes a mutex, so that trace lines are output atomically.
• The exact traceln output of this example is non-deterministic, because the OS is free to schedule domains as it likes.
• You must ensure that the function passed to run doesn't have access to any non-threadsafe values. The type system does not check this.
• run waits for the domain to finish, but it allows other fibers to run while waiting. This is why we use Fiber.both to create multiple fibers.

For more information, see the Multicore Guide.

Synchronisation Tools

Eio provides several sub-modules for communicating between fibers, and these work even when the fibers are running in different domains.

Promises

Promises are a simple and reliable way to communicate between fibers. One fiber can wait for a promise and another can resolve it:

# Eio_main.run @@ fun _ ->
  let promise, resolver = Promise.create () in
  Fiber.both
    (fun () ->
      traceln "Waiting for promise...";
      let x = Promise.await promise in
      traceln "x = %d" x
    )
    (fun () ->
      traceln "Resolving promise";
      Promise.resolve resolver 42
    );;
+Waiting for promise...
+Resolving promise
+x = 42
- : unit = ()

A promise is initially "unresolved", and can only be resolved once. Awaiting a promise that is already resolved immediately returns the resolved value.

Promises are one of the easiest tools to use safely: it doesn't matter whether you wait on a promise before or after it is resolved, and multiple fibers can wait for the same promise and will get the same result. Promises are thread-safe; you can wait for a promise in one domain and resolve it in another.

Promises are also useful for integrating with callback-based libraries. For example:

let wrap fn x =
  let promise, resolver = Promise.create () in
  fn x
    ~on_success:(Promise.resolve_ok resolver)
    ~on_error:(Promise.resolve_error resolver);
  Promise.await_exn promise

Example: Concurrent Cache

Here's an example using promises to cache lookups, with the twist that another user might ask the cache for the value while it's still adding it. We don't want to start a second fetch in that case, so instead we just store promises in the cache:

let make_cache ~sw fn =
  let tbl = Hashtbl.create 10 in
  fun key ->
    match Hashtbl.find_opt tbl key with
    | Some p -> Promise.await_exn p
    | None ->
      let p, r = Promise.create () in
      Hashtbl.add tbl key p;
      Fiber.fork ~sw (fun () ->
        match fn key with
        | v -> Promise.resolve_ok r v
        | exception ex -> Promise.resolve_error r ex
      );
      Promise.await_exn p

Notice that we store the new promise in the cache immediately, without doing anything that might switch to another fiber.

The reason for the fork here is to run the fetch inside the cache's switch sw. Then if the caller is cancelled it will only cancel the Promise.await, not the fetch (which might affect other users of the cache).

We can use it like this:

# let fetch url =
    traceln "Fetching %S..." url;
    Fiber.yield ();             (* Simulate work... *)
    if url = "http://example.com" then "<h1>Example.com</h1>"
    else failwith "404 Not Found";;
val fetch : string -> string = <fun>

# Eio_main.run @@ fun _ ->
  Switch.run @@ fun sw ->
  let c = make_cache ~sw fetch in
  let test url =
    Fiber.fork ~sw (fun () ->
       match c url with
       | page -> traceln "%s -> %s" url page
       | exception ex -> traceln "%s -> %a" url Fmt.exn ex
    )
  in
  test "http://example.com";
  test "http://example.com";
  test "http://bad.com";
  test "http://bad.com";;
+Fetching "http://example.com"...
+Fetching "http://bad.com"...
+http://example.com -> <h1>Example.com</h1>
+http://example.com -> <h1>Example.com</h1>
+http://bad.com -> Failure("404 Not Found")
+http://bad.com -> Failure("404 Not Found")
- : unit = ()

Notice that we made four requests, but only started two download operations.

This version of the cache remembers failed lookups too. You could modify it to remove the entry on failure, so that all clients currently waiting still fail, but any future client asking for the failed resource will trigger a new download.

This cache is not thread-safe. You will need to add a mutex if you want to share it between domains.

Streams

A stream is a bounded queue. Reading from an empty stream waits until an item is available. Writing to a full stream waits for space.

# Eio_main.run @@ fun _ ->
  let stream = Eio.Stream.create 2 in
  Fiber.both
    (fun () ->
       for i = 1 to 5 do
         traceln "Adding %d..." i;
         Eio.Stream.add stream i
       done
    )
    (fun () ->
       for i = 1 to 5 do
         let x = Eio.Stream.take stream in
         traceln "Got %d" x;
         Fiber.yield ()
       done
    );;
+Adding 1...
+Adding 2...
+Adding 3...
+Got 1
+Adding 4...
+Got 2
+Adding 5...
+Got 3
+Got 4
+Got 5
- : unit = ()

Here, we create a stream with a maximum size of 2 items. The first fiber added 1 and 2 to the stream, but had to wait before it could insert 3.

A stream with a capacity of 1 acts like a mailbox. A stream with a capacity of 0 will wait until both the sender and receiver are ready.

Streams are thread-safe and can be used to communicate between domains.

Example: Worker Pool

A useful pattern is a pool of workers reading from a stream of work items. Client fibers submit items to a stream and workers process the items:

let handle_job request =
  Fiber.yield ();       (* (simulated work) *)
  Printf.sprintf "Processed:%d" request

let run_worker id stream =
  traceln "Worker %s ready" id;
  while true do
    let request, reply = Eio.Stream.take stream in
    traceln "Worker %s processing request %d" id request;
    Promise.resolve reply (handle_job request)
  done

let submit stream request =
  let reply, resolve_reply = Promise.create () in
  Eio.Stream.add stream (request, resolve_reply);
  Promise.await reply

Each item in the stream is a request payload and a resolver for the reply promise.

# Eio_main.run @@ fun env ->
  let domain_mgr = Eio.Stdenv.domain_mgr env in
  Switch.run @@ fun sw ->
  let stream = Eio.Stream.create 100 in
  let spawn_worker name =
    Fiber.fork ~sw (fun () ->
       Eio.Domain_manager.run domain_mgr (fun () -> run_worker name stream)
    )
  in
  spawn_worker "A";
  spawn_worker "B";
  Switch.run (fun sw ->
     for i = 1 to 3 do
       Fiber.fork ~sw (fun () ->
         traceln "Client %d submitting job..." i;
         traceln "Client %d got %s" i (submit stream i)
       );
       Fiber.yield ()
     done;
  );
  raise Exit;;
+Worker A ready
+Worker B ready
+Client 1 submitting job...
+Worker A processing request 1
+Client 2 submitting job...
+Worker B processing request 2
+Client 3 submitting job...
+Client 1 got Processed:1
+Worker A processing request 3
+Client 2 got Processed:2
+Client 3 got Processed:3
Exception: Stdlib.Exit.

In the code above, any exception raised while processing a job will exit the whole program. We might prefer to handle exceptions by sending them back to the client and continuing:

let run_worker id stream =
  traceln "Worker %s ready" id;
  while true do
    let request, reply = Eio.Stream.take stream in
    traceln "Worker %s processing request %d" id request;
    match handle_job request with
    | result -> Promise.resolve_ok reply result
    | exception ex -> Promise.resolve_error reply ex; Fiber.check ()
  done

The Fiber.check () checks whether the worker itself has been cancelled, and exits the loop if so. It's not actually necessary in this case, because if we continue instead then the following Stream.take will perform the check anyway.

Design Note: Determinism

Within a domain, fibers are scheduled deterministically. Programs using only the Eio APIs can only behave non-deterministically if given a capability to do so from somewhere else.

For example, Fiber.both f g always starts running f first, and only switches to g when f finishes or performs an effect that can switch fibers.

Performing IO with external objects (e.g., stdout, files, or network sockets) will introduce non-determinism, as will using multiple domains.

Note that traceln is unusual. Although it writes (by default) to stderr, it will not switch fibers. Instead, if the OS is not ready to receive trace output, the whole domain is paused until it is ready. This means that adding traceln to deterministic code will not affect its scheduling.

In particular, if you test your code by providing (deterministic) mocks then the tests will be deterministic. An easy way to write tests is by having the mocks call traceln and then comparing the trace output with the expected output. See Eio's own tests for examples, e.g., tests/test_switch.md.

Provider Interfaces

Eio applications use resources by calling functions (such as Eio.Flow.read). These functions are actually wrappers that call methods on the resources. This allows you to define your own resources.

Here's a flow that produces an endless stream of zeros (like "/dev/zero"):

let zero = object
  inherit Eio.Flow.source

  method read_into buf =
    Cstruct.memset buf 0;
    Cstruct.length buf
end

It can then be used like any other Eio flow:

# Eio_main.run @@ fun _ ->
  let r = Eio.Buf_read.of_flow zero ~max_size:100 in
  traceln "Got: %S" (Eio.Buf_read.take 4 r);;
+Got: "\000\000\000\000"
- : unit = ()

The Flow.source interface has some extra methods that can be used for optimisations (for example, instead of filling a buffer with zeros it could be more efficient to share a pre-allocated block of zeros). Using inherit provides default implementations of these methods that say no optimisations are available. It also protects you somewhat from API changes in future, as defaults can be provided for any new methods that get added.

Although it is possible to use an object by calling its methods directly, it is recommended that you use the functions instead. The functions provide type information to the compiler, leading to clearer error messages, and may provide extra features or sanity checks.

For example Eio.Flow.read is defined as:

let read (t : #Eio.Flow.source) buf =
  let got = t#read_into buf in
  assert (got > 0 && got <= Cstruct.length buf);
  got

As an exception to this rule, it is fine to use the methods of env directly (e.g. using main env#stdin instead of main (Eio.Stdenv.stdin env). Here, the compiler already has the type from the Eio_main.run call immediately above it, and env is acting as a simple record. We avoid doing that in this guide only to avoid alarming OCaml users unfamiliar with object syntax.

See Dynamic Dispatch for more discussion about the use of objects here.

Example Applications

• gemini-eio is a simple Gemini browser. It shows how to integrate Eio with ocaml-tls, angstrom, and notty.
• ocaml-multicore/retro-httpaf-bench includes a simple HTTP server using Eio. It shows how to use Eio with httpaf, and how to use multiple domains for increased performance.
• Awesome Multicore OCaml lists many other projects.

Integrations

Eio can be used with several other IO libraries.

Async

Async_eio has experimental support for running Async and Eio code together in a single domain.

Lwt

You can use Lwt_eio to run Lwt threads and Eio fibers together in a single domain, and to convert between Lwt and Eio promises. This may be useful during the process of porting existing code to Eio.

Unix and System Threads

The Eio_unix module provides features for using Eio with OCaml's Unix module. In particular, Eio_unix.run_in_systhread can be used to run a blocking operation in a separate systhread, allowing it to be used within Eio without blocking the whole domain.

Further Reading

• lib_eio/eio.mli documents Eio's public API.
• doc/rationale.md describes some of Eio's design tradeoffs in more detail.
• lib_eio/mock/backend.ml is a skeleton Eio backend with no actual IO.

Some background about the effects system can be found in:

• Experiences with effects (video), OCaml Workshop 2021.
• "Retrofitting Concurrency onto OCaml" (to appear, PLDI 2021)
• https://kcsrk.info/ocaml/multicore/2015/05/20/effects-multicore/
• Effects examples: https://github.com/ocaml-multicore/effects-examples/tree/master/aio
• Concurrent System Programming with Effect Handlers
• Asynchronous effect based IO using effect handlers