com.google.javascript.jscomp.instrumentation.reporter.ProfilingReport Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of closure-compiler-unshaded Show documentation

Closure Compiler is a JavaScript optimizing compiler. It parses your JavaScript, analyzes it, removes dead code and rewrites and minimizes what's left. It also checks syntax, variable references, and types, and warns about common JavaScript pitfalls. It is used in many of Google's JavaScript apps, including Gmail, Google Web Search, Google Maps, and Google Docs.

There is a newer version: v20240317

Show newest version

/*
 * Copyright 2020 The Closure Compiler Authors.
 *
 * 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.javascript.jscomp.instrumentation.reporter;

import static java.util.stream.Collectors.joining;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.collect.ImmutableList;
import com.google.javascript.jscomp.instrumentation.reporter.proto.FileProfile;
import com.google.javascript.jscomp.instrumentation.reporter.proto.InstrumentationPoint;
import com.google.javascript.jscomp.instrumentation.reporter.proto.InstrumentationPointStats;
import com.google.javascript.jscomp.instrumentation.reporter.proto.ReportProfile;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;

/**
 * A class that maintains all information about the production instrumentation results which will be
 * converted to a JSON.
 */
@GwtIncompatible
final class ProfilingReport {

  /**
   * This function takes the instrumentationMapping and reports sent by the instrumented production
   * code and creates a ProfilingReport with the aggregated information. See return value docs for
   * format.
   *
   * @param instrumentationMapping The instrumentationMapping generated by the Production
   *     Instrumentation pass
   * @param allInstrumentationReports A list off all reports sent by the instrumented production
   *     code
   * @return String containing tab separated table of all instrumentation point in the the binary
   *     with the data agrregated from provided reports. Each row represents separate
   *     instrumentation point. That table can be pasted to google sheets for further analysis.
   */
  public static String createTabSeparatedProfilingReport(
      Map instrumentationMapping,
      ImmutableList> allInstrumentationReports) {

    List profiles =
        allInstrumentationReports.stream()
            .map((report) -> ReportDecoder.decodeReport(instrumentationMapping, report))
            .collect(Collectors.toList());

    Map metrics =
        instrumentationMapping.values().stream()
            .collect(
                Collectors.toMap(
                    Function.identity(), (point) -> new InstrumentationPointMetrics()));

    for (ReportProfile profile : profiles) {
      for (FileProfile fileProfile : profile.getFileProfileList()) {
        for (InstrumentationPointStats pointStats :
            fileProfile.getInstrumentationPointsStatsList()) {
          InstrumentationPointMetrics metric = metrics.get(pointStats.getPoint());
          metric.totalTimesExecuted += pointStats.getTimesExecuted();
          metric.numberOfReports++;
        }
      }
    }

    // Sort instrumentation points in the following order.
    // 1. First by file name so that we get grouped by file points.
    // 2. Within file first put the most frequencly executed points.
    List> result =
        new ArrayList<>(metrics.entrySet());
    Collections.sort(
        result,
        Comparator.comparing(
                (Map.Entry point) ->
                    point.getKey().getFileName())
            .thenComparingLong(
                (Map.Entry point) ->
                    -point.getValue().totalTimesExecuted)
            .thenComparingInt(
                (Map.Entry point) ->
                    point.getKey().getLineNumber())
            .thenComparingInt(
                (Map.Entry point) ->
                    point.getKey().getType().getNumber()));

    // Build tab-separate table.
    List> output = new ArrayList<>();
    // Header row.
    output.add(
        ImmutableList.of(
            "File", "Function name", "Line", "Type", "Total executed", "Reports occured"));
    // Body rows.
    for (Map.Entry entry : result) {
      output.add(
          ImmutableList.of(
              entry.getKey().getFileName(),
              entry.getKey().getFunctionName(),
              String.valueOf(entry.getKey().getLineNumber()),
              entry.getKey().getType().name(),
              String.valueOf(entry.getValue().totalTimesExecuted),
              String.valueOf(entry.getValue().numberOfReports)));
    }

    return output.stream().map((row) -> String.join("\t", row)).collect(joining("\n"));
  }

  /** Metrics collected for particular InstrumentationPoint across all reports. */
  private static class InstrumentationPointMetrics {
    private long totalTimesExecuted = 0;
    private int numberOfReports = 0;
  }

  private ProfilingReport() {}
}