// Copyright 2016 The Go Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. package pprof import ( "io" "math" "runtime" "strings" ) // writeHeapProto writes the current heap profile in protobuf format to w. func writeHeapProto(w io.Writer, p []runtime.MemProfileRecord, rate int64, defaultSampleType string) error { b := newProfileBuilder(w) b.pbValueType(tagProfile_PeriodType, "space", "bytes") b.pb.int64Opt(tagProfile_Period, rate) b.pbValueType(tagProfile_SampleType, "alloc_objects", "count") b.pbValueType(tagProfile_SampleType, "alloc_space", "bytes") b.pbValueType(tagProfile_SampleType, "inuse_objects", "count") b.pbValueType(tagProfile_SampleType, "inuse_space", "bytes") if defaultSampleType != "" { b.pb.int64Opt(tagProfile_DefaultSampleType, b.stringIndex(defaultSampleType)) } values := []int64{0, 0, 0, 0} var locs []uint64 for _, r := range p { locs = locs[:0] hideRuntime := true for tries := 0; tries < 2; tries++ { for _, addr := range r.Stack() { // For heap profiles, all stack // addresses are return PCs, which is // what locForPC expects. if hideRuntime { if f := runtime.FuncForPC(addr); f != nil && strings.HasPrefix(f.Name(), "runtime.") { continue } // Found non-runtime. Show any runtime uses above it. hideRuntime = false } l := b.locForPC(addr) if l == 0 { // runtime.goexit continue } locs = append(locs, l) } if len(locs) > 0 { break } hideRuntime = false // try again, and show all frames } values[0], values[1] = scaleHeapSample(r.AllocObjects, r.AllocBytes, rate) values[2], values[3] = scaleHeapSample(r.InUseObjects(), r.InUseBytes(), rate) var blockSize int64 if r.AllocObjects > 0 { blockSize = r.AllocBytes / r.AllocObjects } b.pbSample(values, locs, func() { if blockSize != 0 { b.pbLabel(tagSample_Label, "bytes", "", blockSize) } }) } b.build() return nil } // scaleHeapSample adjusts the data from a heap Sample to // account for its probability of appearing in the collected // data. heap profiles are a sampling of the memory allocations // requests in a program. We estimate the unsampled value by dividing // each collected sample by its probability of appearing in the // profile. heap profiles rely on a poisson process to determine // which samples to collect, based on the desired average collection // rate R. The probability of a sample of size S to appear in that // profile is 1-exp(-S/R). func scaleHeapSample(count, size, rate int64) (int64, int64) { if count == 0 || size == 0 { return 0, 0 } if rate <= 1 { // if rate==1 all samples were collected so no adjustment is needed. // if rate<1 treat as unknown and skip scaling. return count, size } avgSize := float64(size) / float64(count) scale := 1 / (1 - math.Exp(-avgSize/float64(rate))) return int64(float64(count) * scale), int64(float64(size) * scale) }