package ppx_trace
Install
Dune Dependency
Authors
Maintainers
Sources
sha256=97cc4159b96429adc01a84bff1ed34b8f06746bc56a40a214a6306036be2df38
sha512=6a67ea9ddeebb4b93a0b8dba9ed26d95e786722d08fd9ca7d8e2db7651a9b9d6ccc63cc437b4eb71c28b3ec51838716a84707a8d366abb595f32a5e65035e28b
Description
README
Trace
This small library provides basic types that can be used to instrument a library or application, either by hand or via a ppx.
Features
[x] spans
[x] messages
[x] counters
[ ] other metrics?
[x] ppx to help instrumentation
Usage
To instrument your code, you can simply add trace
to your dune/opam files, and then write code like such:
let f x =
Trace.with_span ~__FILE__ ~__LINE__ "inside-f" @@ fun _sp ->
(* … code for f *)
let g x =
Trace.with_span ~__FILE__ ~__LINE__ "inside-g" @@ fun _sp ->
let y = f x in
(* … code for f *)
let () =
Some_trace_backend.setup () @@ fun () ->
let result = g 42 in
print_result result
The file test/t1.ml
follows this pattern, using trace-tef
as a simple backend that emits one JSON object per span/message:
let run () =
Trace.set_process_name "main";
Trace.set_thread_name "t1";
let n = ref 0 in
for _i = 1 to 50 do
Trace.with_span ~__FILE__ ~__LINE__ "outer.loop" @@ fun _sp ->
for _j = 2 to 5 do
incr n;
Trace.with_span ~__FILE__ ~__LINE__ "inner.loop" @@ fun _sp ->
Trace.messagef (fun k -> k "hello %d %d" _i _j);
Trace.message "world";
Trace.counter_int "n" !n
done
done
let () =
Trace_tef.with_setup ~out:(`File "trace.json") () @@ fun () ->
run ()
After running this, the file "trace.json" will contain something like:
[{"pid":2,"name":"process_name","ph":"M","args": {"name":"main"}},
{"pid":2,"tid": 3,"name":"thread_name","ph":"M","args": {"name":"t1"}},
{"pid":2,"cat":"","tid": 3,"ts": 2.00,"name":"hello 1 2","ph":"I"},
{"pid":2,"cat":"","tid": 3,"ts": 3.00,"name":"world","ph":"I"},
{"pid":2,"tid":3,"ts":4.00,"name":"c","ph":"C","args": {"n":1}},
…
Opening it in https://ui.perfetto.dev we get something like this:
ppx_trace
On OCaml >= 4.12, and with ppxlib
installed, you can install ppx_trace
. This is a preprocessor that will rewrite like so:
let%trace f x y z =
do_sth x;
do_sth y;
begin
let%trace () = "sub-span" in
do_sth z
end
This more or less corresponds to:
let f x y z =
let _trace_span = Trace_core.enter_span ~__FILE__ ~__LINE__ "Foo.f" in
match
do_sth x;
do_sth y;
begin
let _trace_span = Trace_core.enter_span ~__FILE__ ~__LINE__ "sub-span" in
match do_sth z with
| res ->
Trace_core.exit_span _trace_span;
res
| exception e ->
Trace_core.exit_span _trace_span
raise e
end;
with
| res ->
Trace_core.exit_span _trace_span
res
| exception e ->
Trace_core.exit_span _trace_span
raise e
Alternatively, a name can be provided for the span, which is useful if you want to access it and use functions like Trace.add_data_to_span
:
let%trace f x y z =
do_sth x;
do_sth y;
begin
let%trace _sp = "sub-span" in
do_sth z;
Trace.add_data_to_span _sp ["x", `Int 42]
end
Dune configuration
In your library
or executable
stanza, add: (preprocess (pps ppx_trace))
. The dependency on trace.core
is automatically added. You still need to configure a backend to actually do collection.
Backends
Concrete tracing or observability formats such as:
[x] Fuchsia (see the spec and tracing. Can be opened in https://ui.perfetto.dev)
Catapult
[x] light bindings here with
trace-tef
. (Can be opened in https://ui.perfetto.dev)[ ] richer bindings with ocaml-catapult, with multi-process backends, etc.
[x] Tracy (see ocaml-tracy, more specifically
tracy-client.trace
)[x] Opentelemetry (see ocaml-opentelemetry, in
opentelemetry.trace
)[ ] landmarks?
[ ] Logs (only for messages, obviously)