

GitHub - stealthrocket/wzprof: Profiling for Wazero
source link: https://github.com/stealthrocket/wzprof
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wzprof
wzprof
, pronounced as you think it should, is a pprof based profiler for
WebAssembly built on top of Wazero.
It offers the ability to collect CPU and Memory profiles during the execution of
WebAssembly modules.
If you are interested in taking a deep-dive into how wzprof
is built,
you might enjoy reading:
Performance in the spotlight: WebAssembly profiling for everyone
Motivation
WebAssembly runtimes typically allow profiling guest code via an external
profiler such as perf
, but in many cases the recording and analysis of
profiles remains a difficult task, especially due to features like JIT
compilation.
pprof
is the de-facto standard profiling tool for Go programs, and offers
some of the simplest and quickest ways to gather insight into the performance
of an application.
wzprof
aims the combine the capabilities and user experience of pprof
with a wazero.Runtime,
enabling the profiling of any application compiled to WebAssembly.
Features
wzprof
mimics the approach and workflow popularized by Go pprof, and extends
it to collect profiles of WebAssembly programs compiled from any programming
language. The profiles produced are designed to be compatible with pprof,
allowing developers to use the classic go tool pprof
workflow to analyize
application performance.
- CPU: calls sampling and on-CPU time.
- Memory: allocations (see below).
- DWARF support (demangling, source-level profiling).
- Integrated pprof server.
- Library and CLI interfaces.
Usage
You can either use wzprof
as a CLI or as a library if you use the Wazero
runtime libraries.
To install the latest version of wzprof
:
go install github.com/stealthrocket/wzprof/cmd/wzprof@latest
To use the library as code in a Go program:
go get github.com/stealthrocket/wzprof@latest
Run program to completion with CPU or memory profiling
In those examples we set the sample rate to 1 to capture all samples because the test programs complete quickly.
wzprof -sample 1 -memprofile /tmp/profile ./testdata/c/simple.wasm
wzprof -sample 1 -cpuprofile /tmp/profile ./testdata/c/crunch_numbers.wasm
go tool pprof -http :4000 /tmp/profile
Connect to running pprof server
Similarly to net/http/pprof
, wzprof
can expose a pprof-compatible http endpoint on behalf of the guest application:
wzprof -pprof-addr :8080 ...
go tool pprof -http :3030 'http://localhost:8080/debug/pprof/profile?seconds=5'
go tool pprof -http :3030 'http://localhost:8080/debug/pprof/heap'
Profilers
The
wzprof
Go APIs depend on Wazero's experimental
package which makes no
guarantees of backward compatilbity!
The following code snippet demonstrates how to integrate the profilers to a Wazero runtime within a Go program:
sampleRate := 1.0
cpu := wzprof.NewCPUProfiler()
mem := wzprof.NewMemoryProfiler()
ctx := context.WithValue(context.Background(),
experimental.FunctionListenerFactoryKey{},
experimental.MultiFunctionListenerFactory(
wzprof.Sample(sampleRate, cpu),
wzprof.Sample(sampleRate, mem),
),
)
runtime := wazero.NewRuntime(ctx)
defer runtime.Close(ctx)
compiledModule, err := runtime.CompileModule(ctx, wasmCode)
if err != nil {
log.Fatal("compiling wasm module:", err)
}
symbols, err := wzprof.BuildDwarfSymbolizer(compiledModule)
if err != nil {
log.Fatal("symbolizing wasm module:", err)
}
// The CPU profiler collects records of module execution between two time
// points, the program drives where the profiler is active by calling
// StartProfile/StopProfile.
cpu.StartProfile()
moduleInstance, err := runtime.InstantiateModule(ctx, compiledModule,
wazero.NewModuleConfig(),
)
if err != nil {
log.Fatal("instantiating wasm module:", err)
}
if err := moduleInstance.Close(ctx); err != nil {
log.Fatal("closing wasm module:", err)
}
cpuProfile := cpu.StopProfile(sampleRate, symbols)
memProfile := mem.NewProfile(sampleRate, symbols)
if err := wzprof.WriteProfile("cpu.pprof", cpuProfile); err != nil {
log.Fatal("writing CPU profile:", err)
}
if err := wzprof.WriteProfile("mem.pprof", memProfile); err != nil {
log.Fatal("writing memory profile:", err)
}
Note that the program must spearate the compilation and instantiation of WebAssembly modules in order to use the profilers, because the module must be compiled first in order to build the list of symbols from the DWARF sections.
Memory
Memory profiling works by tracing specific functions. Supported functions are:
malloc
calloc
realloc
free
runtime.mallocgc
runtime.alloc
Feel free to open a pull request to support more memory-allocating functions!
wzprof
has two CPU profilers: CPU samples and CPU time.
The CPU samples profiler gives a repesentation of the guest execution by counting the number of time it sees a unique stack trace.
The CPU time profiler measures the actual time spent on-CPU without taking into account the off-CPU time (e.g waiting for I/O). For this profiler, all the host-functions are considered off-CPU.
Contributing
Pull requests are welcome! Anything that is not a simple fix would probably benefit from being discussed in an issue first.
Remember to be respectful and open minded!
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