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Perf

This package is a go library for interacting with the perf subsystem in Linux. It allows you to do things like see how many CPU instructions a function takes, profile a process for various hardware events, and other interesting things. The library is by no means finalized and should be considered pre-alpha at best.

Use Cases

A majority of the utility methods in this package should only be used for testing and/or debugging performance issues. Due to the nature of the go runtime profiling on the goroutine level is extremely tricky, with the exception of a long running worker goroutine locked to an OS thread. Eventually this library could be used to implement many of the features of perf but in accessible via Go directly.

Caveats

Some utility functions will call runtime.LockOSThread for you, they will also unlock the thread after profiling. Note using these utility functions will incur significant overhead.
Overflow handling is not implemented.

Setup

Most likely you will need to tweak some system settings unless you are running as root. From man perf_event_open:

   perf_event related configuration files
       Files in /proc/sys/kernel/

           /proc/sys/kernel/perf_event_paranoid
                  The perf_event_paranoid file can be set to restrict access to the performance counters.

                  2   allow only user-space measurements (default since Linux 4.6).
                  1   allow both kernel and user measurements (default before Linux 4.6).
                  0   allow access to CPU-specific data but not raw tracepoint samples.
                  -1  no restrictions.

                  The existence of the perf_event_paranoid file is the official method for determining if a kernel supports perf_event_open().

           /proc/sys/kernel/perf_event_max_sample_rate
                  This sets the maximum sample rate.  Setting this too high can allow users to sample at a rate that impacts overall machine performance and potentially lock up the machine.  The default value is 100000  (samples  per
                  second).

           /proc/sys/kernel/perf_event_max_stack
                  This file sets the maximum depth of stack frame entries reported when generating a call trace.

           /proc/sys/kernel/perf_event_mlock_kb
                  Maximum number of pages an unprivileged user can mlock(2).  The default is 516 (kB).

Example

Say you wanted to see how many CPU instructions a particular function took:

package main

import (
	"fmt"
	"log"
	"github.com/hodgesds/perf-utils"
)

func foo() error {
	var total int
	for i:=0;i<1000;i++ {
		total++
	}
	return nil
}

func main() {
	profileValue, err := perf.CPUInstructions(foo)
	if err != nil {
		log.Fatal(err)
	}
	fmt.Printf("CPU instructions: %+v\n", profileValue)
}

Benchmarks

To profile a single function call there is an overhead of ~0.4ms.

$ go test  -bench=BenchmarkCPUCycles .
goos: linux
goarch: amd64
pkg: github.com/hodgesds/perf-utils
BenchmarkCPUCycles-8        3000            397924 ns/op              32 B/op          1 allocs/op
PASS
ok      github.com/hodgesds/perf-utils  1.255s

The Profiler interface has low overhead and suitable for many use cases:

$ go test  -bench=BenchmarkProfiler .
goos: linux
goarch: amd64
pkg: github.com/hodgesds/perf-utils
BenchmarkProfiler-8      3000000               488 ns/op              32 B/op          1 allocs/op
PASS
ok      github.com/hodgesds/perf-utils  1.981s

BPF Support

BPF is supported by using the BPFProfiler which is available via the ProfileTracepoint function. To use BPF you need to create the BPF program and then call AttachBPF with the file descriptor of the BPF program. This is not well tested so use at your own peril.

Misc

Originally I set out to use go generate to build Go structs that were compatible with perf, I found a really good article on how to do so. Eventually, after digging through some of the /x/sys/unix code I found pretty much what I was needed. However, I think if you are interested in interacting with the kernel it is a worthwhile read.

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