Eio_unix.FD
This allows creating FDs with Eio and then using them in legacy code.
Eio -- Effects-Based Parallel IO for OCaml
This library implements an effects-based direct-style IO stack for multicore OCaml.
This is an unreleased repository, as it's very much a work-in-progress.
Contents
- Motivation
- Structure of the Code
- Getting Started
- Testing with Mocks
- Fibres
- Tracing
- Cancellation
- Racing
- Switches
- Design Note: Results vs Exceptions
- Performance
- Networking
- Design Note: Object Capabilities
- Buffering and Parsing
- Filesystem Access
- Time
- Multicore Support
- Synchronisation Tools
- Design Note: Determinism
- Examples
- Porting from Lwt
- 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.
The multicore version of OCaml adds support for "effects", removing the need for monadic code here. Using effects brings several advantages:
- It's faster, because no heap allocations are needed to simulate a stack.
- Concurrent code can be written in the same style as plain non-concurrent code.
- Because a real stack is used, backtraces from exceptions work as expected.
- 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 5.00 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.
At present, the library provides a generic backend based on libuv, which should work on most platforms, plus an optimised backend for Linux using io-uring. It is able to run a web-server with good performance, but many features are still missing. 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.
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
oreio_luv
), depending on your platform.ctf
provides tracing support.
Getting Started
You'll need a version of the OCaml compiler with effects. You can get one like this:
opam switch create 4.12.0+domains --repositories=multicore=git+https://github.com/ocaml-multicore/multicore-opam.git,default
Then you'll need to install this library (and utop
if you want to try it interactively):
git clone https://github.com/ocaml-multicore/eio.git
cd eio
opam pin -yn .
opam depext -i eio_main utop # (for opam 2.0)
opam install eio_main utop # (for opam 2.1)
(Run opam --version
if you're not sure which one you have installed.)
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
:
let main ~stdout =
Eio.Flow.copy_string "Hello, world!\n" stdout
We use Eio_main.run
to run the event loop and call it 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 fromenv
whatever things the program will need and then callingmain
with them. -
The type of the
main
function here tells us that this program only interacts viastdout
. -
Eio_main.run
automatically calls the appropriate run function for your platform. For example, on Linux this will callEio_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:
# 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 = ()
traceln
provides convenient printf-style debugging, without requiring you to plumb stderr
through your code.
It's actually using the Format
module, so you can use the extended formatting directives here too.
Fibres
Here's an example running two threads of execution (fibres) concurrently:
let main _env =
Fibre.both
(fun () -> for x = 1 to 3 do traceln "x = %d" x; Fibre.yield () done)
(fun () -> for y = 1 to 3 do traceln "y = %d" y; Fibre.yield () done);;
# Eio_main.run main;;
+x = 1
+y = 1
+x = 2
+y = 2
+x = 3
+y = 3
- : unit = ()
The two fibres 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 (fibres) 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:
# #require "ctf.unix";;
# let () =
Ctf_unix.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 fibre has a cancellation context.
If one of the Fibre.both
fibres fails, the other is cancelled:
# Eio_main.run @@ fun _env ->
Fibre.both
(fun () -> for x = 1 to 3 do traceln "x = %d" x; Fibre.yield () done)
(fun () -> failwith "Simulated error");;
+x = 1
Exception: Failure "Simulated error".
What happened here was:
Fibre.both
created a new cancellation context for the child fibres.- The first fibre ran, printed
x = 1
and yielded. - The second fibre raised an exception.
Fibre.both
caught the exception and cancelled the context.- The first thread's
yield
raised aCancelled
exception there. - Once both threads had finished,
Fibre.both
re-raised the original exception.
There is a tree of cancellation contexts for each domain, and every fibre 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 fibres 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
Fibre.first
returns the result of the first fibre to finish, cancelling the other one:
# Eio_main.run @@ fun _env ->
let x =
Fibre.first
(fun () ->
traceln "first fibre delayed...";
Fibre.yield ();
traceln "delay over";
"a"
)
(fun () -> "b")
in
traceln "x = %S" x;;
+first fibre delayed...
+x = "b"
- : unit = ()
Switches
A switch is used to group fibres 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 ->
Fibre.fork ~sw
(fun () -> for i = 1 to 3 do traceln "i = %d" i; Fibre.yield () done);
traceln "First thread forked";
Fibre.fork ~sw
(fun () -> for j = 1 to 3 do traceln "j = %d" j; Fibre.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 fibres 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 fibres 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 fibres 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.
For example, fork
creates a new fibre 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 fibres within it.
The exception (or exceptions) passed to fail
will be raised by run
when the fibres have exited.
You can also use Fibre.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 fibres 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 a simple high-level API for networking.
Here is a client that connects to address addr
using network
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.
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_sub socket ~sw (fun ~sw 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_sub
handles the connection in a new fibre, with its own subswitch.- Normally, a server would call
accept_sub
in a loop to handle multiple connections. - When the child switch created by
accept_sub
finishes,flow
is closed automatically.
We can test them in a single process using Fibre.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...";
Fibre.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: Object Capabilities
The Eio
high-level API follows the principles of the Object-capability model (Ocaps).
In this model, having a reference to an "object" (which could be a function or closure) grants permission to use it.
The only ways to get a reference are to create a new object, or to be passed an existing reference by another object.
For A to pass a reference B to another object C, A requires access (i.e. references) to both B and C.
In particular, for B to get a reference to C, there must be a path in the reference graph between them
on which all objects allow it.
This is all just standard programming practice, really, except that it disallows patterns that break this model:
- Global variables are not permitted. Otherwise, B could store itself in a global variable and C could collect it.
- Modules that use C code or the OS to provide the effect of globals are also not permitted.
For example, OCaml's Unix
module provides access to the network and filesystem to any code that wants it.
By contrast, an Eio module that wants such access must receive it explicitly.
Consider the network example in the previous section. Imagine this is a large program and we want to know:
- Does this program modify the filesystem?
- Does this program send telemetry data over the network?
In an Ocap language, we don't have to read the entire code-base to find the answers:
- All authority starts at the (privileged)
run
function with theenv
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
network
authority as it is passed tomain
. main
usesnetwork
to open a listening socket on the loopback interface, which it passes torun_server
.run_server
does not get the fullnetwork
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 getnetwork
, so we do need to read that. We could make that code easier to audit by passing it(fun () -> Eio.Net.connect network addr)
instead ofnetwork
. Then we could see thatrun_client
could only connect to our loopback address.
Since OCaml is not an Ocap language, code can ignore Eio and use the non-Ocap APIs directly. Therefore, this cannot be used as a security mechanism. However, it still makes non-malicious code easier to understand and test and may allow for an Ocap extension to the language in the future. See Emily for a previous attempt at this.
Buffering 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 = ()
Filesystem Access
Access to the filesystem is also 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
Fibres 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
Fibre.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 fibres to run while waiting. This is why we useFibre.both
to create multiple fibres.
For more information, see the Multicore Guide.
Synchronisation Tools
Eio provides several sub-modules for communicating between fibres, and these work even when the fibres are running in different domains.
Promises
Promises are a simple and reliable way to communicate between fibres. One fibre can wait for a promise and another can resolve it:
# Eio_main.run @@ fun _ ->
let promise, resolver = Promise.create () in
Fibre.both
(fun () ->
traceln "Waiting for promise...";
let x = Promise.await promise in
traceln "x = %d" x
)
(fun () ->
traceln "Resolving promise";
Promise.fulfill resolver 42
);;
+Waiting for promise...
+Resolving promise
+x = 42
- : unit = ()
A promise is initially "unresolved". It can then either become "fulfilled" (as in the example above) or "broken" (with an exception). Either way, the promise is then said to be "resolved". A promise can only be resolved once. Awaiting a promise that is already resolved immediately returns the resolved value (or raises the exception, if broken).
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 fibres 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 resolver)
~on_error:(Promise.break resolver);
Promise.await 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 p
| None ->
let p, r = Promise.create () in
Hashtbl.add tbl key p;
Fibre.fork ~sw (fun () ->
match fn key with
| v -> Promise.fulfill r v
| exception ex -> Promise.break r ex
);
Promise.await p
Notice that we store the new promise in the cache immediately, without doing anything that might switch to another fibre.
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;
Fibre.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 =
Fibre.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
Fibre.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;
Fibre.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 fibre 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 fibres submit items to a stream and workers process the items:
let handle_job request =
Fibre.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.fulfill 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 =
Fibre.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
Fibre.fork ~sw (fun () ->
traceln "Client %d submitting job..." i;
traceln "Client %d got %s" i (submit stream i)
);
Fibre.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.fulfill reply result
| exception ex -> Promise.break reply ex; Fibre.check ()
done
The Fibre.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, fibres 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, Fibre.both f g
always starts running f
first,
and only switches to g
when f
finishes or performs an effect that can switch fibres.
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 fibres.
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.
Examples
- gemini-eio is a simple Gemini browser. It shows how to integrate Eio with
ocaml-tls
,angstrom
, andnotty
. - 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.
Porting from Lwt
You can use Lwt_eio to run Lwt threads and Eio fibres 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.
Further Reading
- lib_eio/eio.mli documents Eio's public API.
- doc/rationale.md describes some of Eio's design tradeoffs in more detail.
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