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// Copyright 2018 The Bazel Authors. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package com.google.devtools.build.lib.profiler.grapher;
import com.google.common.collect.ImmutableList;
import com.google.devtools.build.lib.profiler.CpuUsageTimeSeries;
import com.google.gson.stream.JsonReader;
import java.io.BufferedReader;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.StringJoiner;
/**
* An experimental tool to turn Json profiles into graphs. Do not depend on the continuing existence
* of this tool.
*
* <p>Run this tool like so: bazel run \
* //src/main/java/com/google/devtools/build/lib/profiler:profiler-grapher \
* -- /path/to/command.profile > /tmp/tmp.csv
*
* <p>Plot the resulting CSV with gnuplot like so: gnuplot -p -e \
* set datafile sep ','; plot for [col=1:3] '/tmp/tmp.csv' using col lw 2 with lines \
* title columnheader"
*/
public class ProfileGrapher {
public static final long DEFAULT_BUCKET_SIZE_MILLIS = 1000;
public static void main(String[] args) throws IOException {
if (args.length != 1) {
System.err.println("Requires filename of a Bazel profile in Chrome event trace format.");
System.exit(1);
}
String filename = args[0];
// TODO(twerth): Make it possible to select the set of profiler task descriptions on the command
// line.
ImmutableList<String> profilerTaskDescriptions =
ImmutableList.of(
"Remote execution process wall time",
"action processing",
"Remote execution file fetching");
Map<String, CpuUsageTimeSeries> seriesMap = new LinkedHashMap<>();
for (String profilerTaskDescription : profilerTaskDescriptions) {
seriesMap.put(profilerTaskDescription, new CpuUsageTimeSeries(0, DEFAULT_BUCKET_SIZE_MILLIS));
}
long maxEndTime = 0;
// TODO(twerth): Support gzip compressed profiles.
try (JsonReader reader =
new JsonReader(
new BufferedReader(
new InputStreamReader(new FileInputStream(filename), StandardCharsets.UTF_8)))) {
reader.beginArray();
while (reader.hasNext()) {
reader.beginObject();
Map<String, Object> data = new HashMap<>();
while (reader.hasNext()) {
String name = reader.nextName();
Object value;
switch (reader.peek()) {
case BOOLEAN:
value = reader.nextBoolean();
break;
case NUMBER:
value = reader.nextDouble();
break;
case STRING:
value = reader.nextString();
break;
default:
reader.skipValue();
continue;
}
data.put(name, value);
}
Object cat = data.get("cat");
CpuUsageTimeSeries series = seriesMap.get(cat);
if (series != null) {
Long endTimeMillis = decodeAndAdd(series, data);
if (endTimeMillis != null) {
maxEndTime = Math.max(maxEndTime, endTimeMillis);
}
}
reader.endObject();
}
reader.endArray();
}
// Instead of generating a CSV here, we could generate Json and use the Google Charts API to
// generate interactive web graphs (https://developers.google.com/chart/).
int len = (int) (maxEndTime / DEFAULT_BUCKET_SIZE_MILLIS) + 1;
double[][] numbers = new double[seriesMap.size()][];
List<Map.Entry<String, CpuUsageTimeSeries>> allSeries = new ArrayList<>(seriesMap.entrySet());
// Write the titles in the first line of the CSV
StringJoiner stringJoiner = new StringJoiner(",");
for (int i = 0; i < numbers.length; i++) {
stringJoiner.add(allSeries.get(i).getKey());
numbers[i] = allSeries.get(i).getValue().toDoubleArray(len);
}
System.out.println(stringJoiner.toString());
for (int i = 0; i < numbers[0].length; i++) {
stringJoiner = new StringJoiner(",");
for (int j = 0; j < numbers.length; j++) {
stringJoiner.add(String.valueOf(numbers[j][i]));
}
System.out.println(stringJoiner.toString());
}
}
/**
* Decodes the start time and duration from the data, adds it to the given series and returns the
* end time in milliseconds if it was possible to decode the data, otherwise null.
*/
private static Long decodeAndAdd(CpuUsageTimeSeries series, Map<String, Object> data) {
Double ts = (Double) data.get("ts");
Double dur = (Double) data.get("dur");
if (ts == null || dur == null) {
return null;
}
long durationMillis = Math.round(dur.doubleValue() / 1000);
long startTimeMillis = Math.round(ts.doubleValue() / 1000);
long endTimeMillis = startTimeMillis + durationMillis;
series.addRange(startTimeMillis, endTimeMillis);
return endTimeMillis;
}
}
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