cmd/trace: display p99.9, p99 and p95 MUT

This uses the mutator utilization distribution to compute the p99.9,
p99, and p95 mutator utilization topograph lines and display them
along with the MMU.

Change-Id: I8c7e0ec326aa4bc00619ec7562854253f01cc802
Reviewed-on: https://go-review.googlesource.com/c/60800
Run-TryBot: Austin Clements <austin@google.com>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Hyang-Ah Hana Kim <hyangah@gmail.com>
This commit is contained in:
Austin Clements 2017-08-17 18:11:01 -04:00
parent 33563d1cfc
commit b251d7fbe6
1 changed files with 37 additions and 4 deletions

View File

@ -88,6 +88,14 @@ func httpMMUPlot(w http.ResponseWriter, r *http.Request) {
return
}
var quantiles []float64
for _, flagStr := range strings.Split(r.FormValue("flags"), "|") {
if flagStr == "mut" {
quantiles = []float64{0, 1 - .999, 1 - .99, 1 - .95}
break
}
}
// Find a nice starting point for the plot.
xMin := time.Second
for xMin > 1 {
@ -114,15 +122,21 @@ func httpMMUPlot(w http.ResponseWriter, r *http.Request) {
// Compute MMU curve.
logMin, logMax := math.Log(float64(xMin)), math.Log(float64(xMax))
const samples = 100
plot := make([][2]float64, samples)
plot := make([][]float64, samples)
for i := 0; i < samples; i++ {
window := time.Duration(math.Exp(float64(i)/(samples-1)*(logMax-logMin) + logMin))
y := mmuCurve.MMU(window)
plot[i] = [2]float64{float64(window), y}
if quantiles == nil {
plot[i] = make([]float64, 2)
plot[i][1] = mmuCurve.MMU(window)
} else {
plot[i] = make([]float64, 1+len(quantiles))
copy(plot[i][1:], mmuCurve.MUD(window, quantiles))
}
plot[i][0] = float64(window)
}
// Create JSON response.
err = json.NewEncoder(w).Encode(map[string]interface{}{"xMin": int64(xMin), "xMax": int64(xMax), "curve": plot})
err = json.NewEncoder(w).Encode(map[string]interface{}{"xMin": int64(xMin), "xMax": int64(xMax), "quantiles": quantiles, "curve": plot})
if err != nil {
log.Printf("failed to serialize response: %v", err)
return
@ -150,6 +164,10 @@ var templMMU = `<!doctype html>
else { return ns / 1e9 + 's'; }
}
function niceQuantile(q) {
return 'p' + q*100;
}
function mmuFlags() {
var flags = "";
$("#options input").each(function(i, elt) {
@ -181,6 +199,11 @@ var templMMU = `<!doctype html>
var data = new google.visualization.DataTable();
data.addColumn('number', 'Window duration');
data.addColumn('number', 'Minimum mutator utilization');
if (plotData.quantiles) {
for (var i = 1; i < plotData.quantiles.length; i++) {
data.addColumn('number', niceQuantile(1 - plotData.quantiles[i]) + ' MU');
}
}
data.addRows(curve);
for (var i = 0; i < curve.length; i++) {
data.setFormattedValue(i, 0, niceDuration(curve[i][0]));
@ -201,6 +224,7 @@ var templMMU = `<!doctype html>
maxValue: 1.0,
},
legend: { position: 'none' },
focusTarget: 'category',
width: 900,
height: 500,
chartArea: { width: '80%', height: '80%' },
@ -208,6 +232,10 @@ var templMMU = `<!doctype html>
for (var v = plotData.xMin; v <= plotData.xMax; v *= 10) {
options.hAxis.ticks.push({v:v, f:niceDuration(v)});
}
if (plotData.quantiles) {
options.vAxis.title = 'Mutator utilization';
options.legend.position = 'in';
}
var container = $('#mmu_chart');
container.empty();
@ -298,6 +326,11 @@ var templMMU = `<!doctype html>
<input type="checkbox" id="sweep"><label for="sweep">Sweep</label>
<span class="help">?<span>Sweep reclaims unused memory between GCs. (Enabling this may be very slow.).</span></span><br/>
</p>
<p>
<b>Display</b><br/>
<input type="checkbox" id="mut"><label for="mut">Show percentiles</label>
<span class="help">?<span>Display percentile mutator utilization in addition to minimum. E.g., p99 MU drops the worst 1% of windows.</span></span><br/>
</p>
</div>
</div>
<div id="details">Select a point for details.</div>