wasmtime/runtime/profiling.rs
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use crate::instantiate::CompiledModule;
use crate::prelude::*;
use crate::runtime::vm::Backtrace;
use crate::{AsContext, CallHook, Module};
use fxprof_processed_profile::debugid::DebugId;
use fxprof_processed_profile::{
CategoryHandle, Frame, FrameFlags, FrameInfo, LibraryInfo, MarkerLocation, MarkerSchema,
MarkerTiming, Profile, ProfilerMarker, ReferenceTimestamp, Symbol, SymbolTable, Timestamp,
};
use std::ops::Range;
use std::sync::Arc;
use std::time::{Duration, Instant};
use wasmtime_environ::demangle_function_name_or_index;
// TODO: collect more data
// - On non-Windows, measure thread-local CPU usage between events with
// rustix::time::clock_gettime(ClockId::ThreadCPUTime)
// - Report which wasm module, and maybe instance, each frame came from
/// Collects basic profiling data for a single WebAssembly guest.
///
/// This profiler can't provide measurements that are as accurate or detailed
/// as a platform-specific profiler, such as `perf` on Linux. On the other
/// hand, this profiler works on every platform that Wasmtime supports. Also,
/// as an embedder you can use this profiler selectively on individual guest
/// instances rather than profiling the entire process.
///
/// To use this, you'll need to arrange to call [`GuestProfiler::sample`] at
/// regular intervals while the guest is on the stack. The most straightforward
/// way to do that is to call it from a callback registered with
/// [`Store::epoch_deadline_callback()`](crate::Store::epoch_deadline_callback).
///
/// # Accuracy
///
/// The data collection granularity is limited by the mechanism you use to
/// interrupt guest execution and collect a profiling sample.
///
/// If you use epoch interruption, then samples will only be collected at
/// function entry points and loop headers. This introduces some bias to the
/// results. In addition, samples will only be taken at times when WebAssembly
/// functions are running, not during host-calls.
///
/// It is technically possible to use fuel interruption instead. That
/// introduces worse bias since samples occur after a certain number of
/// WebAssembly instructions, which can take different amounts of time.
///
/// You may instead be able to use platform-specific methods, such as
/// `setitimer(ITIMER_VIRTUAL, ...)` on POSIX-compliant systems, to sample on
/// a more accurate interval. The only current requirement is that the guest
/// you wish to profile must be on the same stack where you call `sample`,
/// and executing within the same thread. However, the `GuestProfiler::sample`
/// method is not currently async-signal-safe, so doing this correctly is not
/// easy.
///
/// # Security
///
/// Profiles produced using this profiler do not include any configuration
/// details from the host, such as virtual memory addresses, or from any
/// WebAssembly modules that you haven't specifically allowed. So for
/// example, these profiles should be safe to share with untrusted users
/// who have provided untrusted code that you are running in a multi-tenancy
/// environment.
///
/// However, the profile does include byte offsets into the text section of
/// the compiled module, revealing some information about the size of the code
/// generated for each module. For user-provided modules, the user could get
/// the same information by compiling the module for themself using a similar
/// version of Wasmtime on the same target architecture, but for any module
/// where they don't already have the WebAssembly module binary available this
/// could theoretically lead to an undesirable information disclosure. So you
/// should only include user-provided modules in profiles.
#[derive(Debug)]
pub struct GuestProfiler {
profile: Profile,
modules: Modules,
process: fxprof_processed_profile::ProcessHandle,
thread: fxprof_processed_profile::ThreadHandle,
start: Instant,
}
type Modules = Vec<(Range<usize>, fxprof_processed_profile::LibraryHandle)>;
impl GuestProfiler {
/// Begin profiling a new guest. When this function is called, the current
/// wall-clock time is recorded as the start time for the guest.
///
/// The `module_name` parameter is recorded in the profile to help identify
/// where the profile came from.
///
/// The `interval` parameter should match the rate at which you intend
/// to call `sample`. However, this is used as a hint and not required to
/// exactly match the real sample rate.
///
/// Only modules which are present in the `modules` vector will appear in
/// stack traces in this profile. Any stack frames which were executing
/// host code or functions from other modules will be omitted. See the
/// "Security" section of the [`GuestProfiler`] documentation for guidance
/// on what modules should not be included in this list.
pub fn new(module_name: &str, interval: Duration, modules: Vec<(String, Module)>) -> Self {
let zero = ReferenceTimestamp::from_millis_since_unix_epoch(0.0);
let mut profile = Profile::new(module_name, zero, interval.into());
let mut modules: Vec<_> = modules
.into_iter()
.filter_map(|(name, module)| {
let compiled = module.compiled_module();
let text = compiled.text().as_ptr_range();
let address_range = text.start as usize..text.end as usize;
module_symbols(name, compiled).map(|lib| (address_range, profile.add_lib(lib)))
})
.collect();
modules.sort_unstable_by_key(|(range, _)| range.start);
profile.set_reference_timestamp(std::time::SystemTime::now().into());
let process = profile.add_process(module_name, 0, Timestamp::from_nanos_since_reference(0));
let thread = profile.add_thread(process, 0, Timestamp::from_nanos_since_reference(0), true);
let start = Instant::now();
Self {
profile,
modules,
process,
thread,
start,
}
}
/// Add a sample to the profile. This function collects a backtrace from
/// any stack frames for allowed modules on the current stack. It should
/// typically be called from a callback registered using
/// [`Store::epoch_deadline_callback()`](crate::Store::epoch_deadline_callback).
///
/// The `delta` parameter is the amount of CPU time that was used by this
/// guest since the previous sample. It is allowed to pass `Duration::ZERO`
/// here if recording CPU usage information is not needed.
pub fn sample(&mut self, store: impl AsContext, delta: Duration) {
let now = Timestamp::from_nanos_since_reference(
self.start.elapsed().as_nanos().try_into().unwrap(),
);
let backtrace = Backtrace::new(store.as_context().0);
let frames = lookup_frames(&self.modules, &backtrace);
self.profile
.add_sample(self.thread, now, frames, delta.into(), 1);
}
/// Add a marker for transitions between guest and host to the profile.
/// This function should typically be called from a callback registered
/// using [`Store::call_hook()`](crate::Store::call_hook), and the `kind`
/// parameter should be the value of the same type passed into that hook.
pub fn call_hook(&mut self, store: impl AsContext, kind: CallHook) {
let now = Timestamp::from_nanos_since_reference(
self.start.elapsed().as_nanos().try_into().unwrap(),
);
match kind {
CallHook::CallingWasm | CallHook::ReturningFromWasm => {}
CallHook::CallingHost => {
let backtrace = Backtrace::new(store.as_context().0);
let frames = lookup_frames(&self.modules, &backtrace);
self.profile.add_marker_with_stack(
self.thread,
"hostcall",
CallMarker,
MarkerTiming::IntervalStart(now),
frames,
);
}
CallHook::ReturningFromHost => {
self.profile.add_marker(
self.thread,
"hostcall",
CallMarker,
MarkerTiming::IntervalEnd(now),
);
}
}
}
/// When the guest finishes running, call this function to write the
/// profile to the given `output`. The output is a JSON-formatted object in
/// the [Firefox "processed profile format"][fmt]. Files in this format may
/// be visualized at <https://profiler.firefox.com/>.
///
/// [fmt]: https://github.com/firefox-devtools/profiler/blob/main/docs-developer/processed-profile-format.md
pub fn finish(mut self, output: impl std::io::Write) -> Result<()> {
let now = Timestamp::from_nanos_since_reference(
self.start.elapsed().as_nanos().try_into().unwrap(),
);
self.profile.set_thread_end_time(self.thread, now);
self.profile.set_process_end_time(self.process, now);
serde_json::to_writer(output, &self.profile)?;
Ok(())
}
}
fn module_symbols(name: String, compiled: &CompiledModule) -> Option<LibraryInfo> {
let symbols = Vec::from_iter(compiled.finished_functions().map(|(defined_idx, _)| {
let loc = compiled.func_loc(defined_idx);
let func_idx = compiled.module().func_index(defined_idx);
let mut name = String::new();
demangle_function_name_or_index(
&mut name,
compiled.func_name(func_idx),
defined_idx.as_u32() as usize,
)
.unwrap();
Symbol {
address: loc.start,
size: Some(loc.length),
name,
}
}));
if symbols.is_empty() {
return None;
}
Some(LibraryInfo {
name,
debug_name: String::new(),
path: String::new(),
debug_path: String::new(),
debug_id: DebugId::nil(),
code_id: None,
arch: None,
symbol_table: Some(Arc::new(SymbolTable::new(symbols))),
})
}
fn lookup_frames<'a>(
modules: &'a Modules,
backtrace: &'a Backtrace,
) -> impl Iterator<Item = FrameInfo> + 'a {
backtrace
.frames()
// Samply needs to see the oldest frame first, but we list the newest
// first, so iterate in reverse.
.rev()
.filter_map(|frame| {
// Find the first module whose start address includes this PC.
let module_idx = modules.partition_point(|(range, _)| range.start > frame.pc());
if let Some((range, lib)) = modules.get(module_idx) {
if range.contains(&frame.pc()) {
return Some(FrameInfo {
frame: Frame::RelativeAddressFromReturnAddress(
*lib,
u32::try_from(frame.pc() - range.start).unwrap(),
),
category_pair: CategoryHandle::OTHER.into(),
flags: FrameFlags::empty(),
});
}
}
None
})
}
struct CallMarker;
impl ProfilerMarker for CallMarker {
const MARKER_TYPE_NAME: &'static str = "hostcall";
fn schema() -> MarkerSchema {
MarkerSchema {
type_name: Self::MARKER_TYPE_NAME,
locations: vec![
MarkerLocation::MarkerChart,
MarkerLocation::MarkerTable,
MarkerLocation::TimelineOverview,
],
chart_label: None,
tooltip_label: None,
table_label: None,
fields: vec![],
}
}
fn json_marker_data(&self) -> serde_json::Value {
serde_json::json!({ "type": Self::MARKER_TYPE_NAME })
}
}