org.openjdk.jmh.results.Result Java Examples

@Override
public Collection<? extends Result> afterIteration(BenchmarkParams bp, IterationParams ip,
    IterationResult result) {
  MemoryUsage heapUsage = ManagementFactory.getMemoryMXBean().getHeapMemoryUsage();
  MemoryUsage nonheapUsage = ManagementFactory.getMemoryMXBean().getNonHeapMemoryUsage();

  Collection<ScalarResult> results = new ArrayList<>();
  results.add(
      new ScalarResult(Defaults.PREFIX + "mem.heap", heapUsage.getUsed() / (1024 * 1024.0), "MB",
          AggregationPolicy.MAX));
  results.add(new ScalarResult(
      Defaults.PREFIX + "mem.nonheap", nonheapUsage.getUsed() / (1024 * 1024.0), "MB",
      AggregationPolicy.MAX));

  return results;
}
 

@Override
public Collection<? extends Result> afterIteration(BenchmarkParams benchmarkParams,
    IterationParams iterationParams, IterationResult result) {
  final Runtime runtime = Runtime.getRuntime();

  final long max = runtime.maxMemory();
  final long total = runtime.totalMemory();
  final long free = runtime.freeMemory();
  final long used = total - free;

  return Arrays
      .asList(new ProfilerResult(PREFIX + "rt.mem.max", max, "bytes", AggregationPolicy.MAX),
          new ProfilerResult(PREFIX + "rt.mem.total", total, "bytes", AggregationPolicy.MAX),
          new ProfilerResult(PREFIX + "rt.mem.free", free, "bytes", AggregationPolicy.MAX),
          new ProfilerResult(PREFIX + "rt.mem.used", used, "bytes", AggregationPolicy.MAX));
}
 

/**
 * Parse the linux {@code /proc/self/status} and add everything prefixed with "Vm" as metric to
 * the profiling result.
 */
public static void addLinuxVmStats(String prefix, List<Result> l) {
  try {
    LineNumberReader r = new LineNumberReader(new InputStreamReader(new FileInputStream("/proc/self/status")));
    String _line;
    while ((_line = r.readLine()) != null) {
      if (!_line.startsWith("Vm")) {
        continue;
      }
      String[] sa = _line.split("\\s+");
      if (sa.length != 3) {
        throw new IOException("Format error: 3 elements expected");
      }
      if (!sa[2].equals("kB")) {
        throw new IOException("Format error: unit kB expected, was: " + sa[2]);
      }
      String _name = sa[0].substring(0, sa[0].length() - 1);
      l.add(
        new OptionalScalarResult(prefix + "." + _name, (double) Long.parseLong(sa[1]), "kB", AggregationPolicy.AVG)
      );
    }
  } catch (IOException ex) {
    throw new UncheckedIOException(ex);
  }
}
 

public static void recordStatsAfterIteration(String _statisticsString) {
  Stat now = extract(_statisticsString);
  if (now == null) {
    return;
  }
  if (before == null) {
    throw new IllegalStateException("saveStats() needs to be called before iteration.");
  }
  long _scanCount = now.scanCount - before.scanCount;
  long _evictCount = now.evictCount - before.evictCount;
  long _getCount = now.getCount - before.getCount;
  List<Result> l = new ArrayList<>();
  l.add(new ScalarResult(RESULT_PREFIX + "scanCount", _scanCount, "counter", AggregationPolicy.AVG));
  l.add(new ScalarResult(RESULT_PREFIX + "evictCount", _evictCount, "counter", AggregationPolicy.AVG));
  l.add(new ScalarResult(RESULT_PREFIX + "getCount", _getCount, "counter", AggregationPolicy.AVG));
  if (_evictCount > 0) {
    l.add(new ScalarResult(RESULT_PREFIX + "scanPerEviction", _scanCount * 1.0D / _evictCount, "counter", AggregationPolicy.AVG));
  }
  l.forEach(MiscResultRecorderProfiler::setResult);
  before = now;
}
 

@Override
public Collection<? extends Result> afterIteration(BenchmarkParams benchmarkParams, IterationParams iterationParams, IterationResult result) {
    List<ScalarResult> results = new ArrayList<>();
    long allOps = result.getMetadata().getAllOps();

    long totalCpuTime = osMxBean.getProcessCpuTime() - beforeProcessCpuTime;

    results.add(new ScalarResult(Defaults.PREFIX + "cpu.time.norm",
        (allOps != 0) ? 1.0 * totalCpuTime / allOps : Double.NaN, "ns/op", AggregationPolicy.AVG));
    return results;
}
 

@Override
public Collection<? extends Result> afterIteration(BenchmarkParams benchmarkParams, IterationParams iterationParams, IterationResult result) {
    List<ScalarResult> results = new ArrayList<>();
    final TimeValue time = iterationParams.getTime();
    final Reporter reporter = getReporter();
    if (reporter != null) {
        final double iterationDurationNs = time.convertTo(TimeUnit.NANOSECONDS);

        final long reportedDuringThisIteration = reporter.getReported() - reportedCountStart;
        if (reportedDuringThisIteration > 0) {
            double reportsPerSecond = perSecond(iterationDurationNs, reportedDuringThisIteration);
            results.add(new ScalarResult(Defaults.PREFIX + "reporter.reported", reportsPerSecond, "events/s", AggregationPolicy.AVG));
        }

        final long droppedDuringThisIteration = reporter.getDropped() - droppedCountStart;
        if (droppedDuringThisIteration >0) {
            double dropsPerSecond = perSecond(iterationDurationNs, droppedDuringThisIteration);
            results.add(new ScalarResult(Defaults.PREFIX + "reporter.dropped", dropsPerSecond, "events/s", AggregationPolicy.AVG));
        }

        if (receivedBytesStart != null) {
            long receivedBytesDuringThisIteration = getLong("server.received.bytes") - receivedBytesStart;
            results.add(new ScalarResult(Defaults.PREFIX + "server.received.bytes", perSecond(iterationDurationNs,
                receivedBytesDuringThisIteration), "bytes/s", AggregationPolicy.AVG));
        }

        if (receivedPayloadsStart != null) {
            long receivedPayloadsDuringThisIteration = getLong("server.received.payloads") - receivedPayloadsStart;
            results.add(new ScalarResult(Defaults.PREFIX + "server.received.payloads", perSecond(iterationDurationNs,
                receivedPayloadsDuringThisIteration), "payloads/s", AggregationPolicy.AVG));
        }
    }
    return results;
}
 

public static void exportResult(String titleStr, Collection<RunResult> results,
                                String paramKey, String xunit) throws Exception {
    // 几个测试对象
    List<String> objects = new ArrayList<>();
    // 测试维度，输入值n
    List<String> dimensions = new ArrayList<>();
    // 有几个测试对象，就有几组测试数据，每组测试数据中对应几个维度的结果
    List<List<Double>> allData = new ArrayList<>();
    List<Double> temp = new ArrayList<>();
    for (RunResult runResult : results) {
        BenchmarkResult benchmarkResult = runResult.getAggregatedResult();
        Result r = benchmarkResult.getPrimaryResult();
        BenchmarkParams params = runResult.getParams();
        if (!objects.contains(r.getLabel())) {
            objects.add(r.getLabel());
            if (!temp.isEmpty()) {
                allData.add(temp);
                temp = new ArrayList<>();
            }
        }
        temp.add(Double.parseDouble(String.format("%.2f", r.getScore())));
        // 测试维度
        if (!dimensions.contains("n=" + params.getParam(paramKey))) {
            dimensions.add("n=" + params.getParam(paramKey));
        }
    }
    // 最后一组测试数据别忘记加进去了
    allData.add(temp);

    String optionStr = generateOption(titleStr, objects, dimensions, allData, xunit);
    // POST到接口上
    postOption(optionStr, "http://localhost:9075/api/v1/data");
}
 

@Override
public Collection<? extends Result> afterIteration(
    final BenchmarkParams benchmarkParams,
    final IterationParams iterationParams,
    final IterationResult result) {
  long usedMemoryAfterIteration = getUsedMemory();
  references = null;

  long usedMemoryInIteration = usedMemoryAfterIteration - usedMemoryBeforeIteration;
  double usedMemoryPerOp =
      ((double) usedMemoryInIteration) / result.getMetadata().getMeasuredOps();
  List<Result> results = new ArrayList<Result>();
  results.add(new ScalarResult("+memory.used", usedMemoryPerOp, "bytes", AggregationPolicy.AVG));
  return results;
}
 

@Override
public Collection<? extends Result> afterIteration(BenchmarkParams
    benchmarkParams, IterationParams iterationParams, IterationResult
    result) {
  long totalHeap = Runtime.getRuntime().totalMemory();

  Collection<ScalarResult> samples = new ArrayList<>();
  samples.add(new ScalarResult("Max heap",
      StorageUnit.BYTES.toGBs(totalHeap), "GBs",
      AggregationPolicy.MAX));
  return samples;
}
 

@Override
public Collection<? extends Result> afterIteration(final BenchmarkParams benchmarkParams, final IterationParams iterationParams, final IterationResult result) {
  if (runOnlyAfterLastIteration) {
    if (iterationParams.getType() != IterationType.MEASUREMENT
    || iterationParams.getCount() != ++iterationNumber) {
      return Collections.emptyList();
    }
  }
  recordUsedMemory();
  List<Result> l = new ArrayList<>();
  l.addAll(Arrays.asList(
    new OptionalScalarResult("+forced-gc-mem.gcTimeMillis", (double) gcTimeMillis, "ms", AggregationPolicy.AVG),
    new OptionalScalarResult("+forced-gc-mem.usedHeap", (double) usedHeapViaHistogram, "bytes", AggregationPolicy.AVG)
  ));
  if (usageAfterIteration != null) {
  	// old metrics, t.b. removed
	l.addAll(Arrays.asList(
		new OptionalScalarResult("+forced-gc-mem.used.settled", (double) usageAfterSettled.getTotalUsed(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.used.after", (double) usageAfterIteration.getTotalUsed(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.total", (double) usageAfterSettled.getTotalCommitted(), "bytes", AggregationPolicy.AVG)
	));
	l.addAll(Arrays.asList(
		new OptionalScalarResult("+forced-gc-mem.totalUsed", (double) usageAfterSettled.getTotalUsed(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.totalUsed.after", (double) usageAfterIteration.getTotalUsed(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.totalCommitted", (double) usageAfterSettled.getTotalCommitted(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.totalCommitted.after", (double) usageAfterIteration.getTotalCommitted(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.heapUsed", (double) usageAfterSettled.heap.getUsed(), "bytes", AggregationPolicy.AVG),
		new OptionalScalarResult("+forced-gc-mem.heapUsed.after", (double) usageAfterIteration.heap.getUsed(), "bytes", AggregationPolicy.AVG)
	));
}
  LinuxVmProfiler.addLinuxVmStats("+forced-gc-mem.linuxVm", l);
  keepReference = null;
  return l;
}
 

@Override
public Collection<? extends Result> afterIteration(final BenchmarkParams benchmarkParams, final IterationParams iterationParams, final IterationResult result) {
  List<Result<?>> all = new ArrayList<>();
  counters.values().stream()
    .map(e ->
      new ScalarResult(SECONDARY_RESULT_PREFIX + e.key, (double) e.counter.get(), e.unit, e.aggregationPolicy))
    .sequential().forEach(e -> all.add(e));
  all.addAll(results.values());
  return all;
}
 

@Override
public Collection<? extends Result> afterIteration(BenchmarkParams benchmarkParams, IterationParams iterationParams, IterationResult iResult) {

  try {
    Thread.sleep(567);
  } catch (InterruptedException ignore) {

  }

  uninstallHooks();
  long afterTime = System.nanoTime();

  HotspotAllocationSnapshot newSnapshot = HotspotAllocationSnapshot.create();

  long gcTime = 0;
  long gcCount = 0;
  for (GarbageCollectorMXBean bean : ManagementFactory.getGarbageCollectorMXBeans()) {
    gcCount += bean.getCollectionCount();
    gcTime += bean.getCollectionTime();
  }

  List<Result<?>> results = new ArrayList<>();

  if (beforeAllocated == HotspotAllocationSnapshot.EMPTY) {
    results.add(new ScalarResult(Defaults.PREFIX + "gc.alloc.rate",
      Double.NaN,
      "MB/sec", AggregationPolicy.AVG));
  } else {
    long allocated = newSnapshot.subtract(beforeAllocated);
    results.add(new ScalarResult(Defaults.PREFIX + "gc.alloc.rate",
      (afterTime != beforeTime) ?
        1.0 * allocated / 1024 / 1024 * TimeUnit.SECONDS.toNanos(1) / (afterTime - beforeTime) :
        Double.NaN,
      "MB/sec", AggregationPolicy.AVG));
    if (allocated != 0) {
      long allOps = iResult.getMetadata().getAllOps();
      results.add(new ScalarResult(Defaults.PREFIX + "gc.alloc.rate.norm",
        (allOps != 0) ?
          1.0 * allocated / allOps :
          Double.NaN,
        "B/op", AggregationPolicy.AVG));
    }
  }

  results.add(new ScalarResult(
    Defaults.PREFIX + "gc.count",
    gcCount - beforeGCCount,
    "counts",
    AggregationPolicy.AVG));

  if (gcCount != beforeGCCount || gcTime != beforeGCTime) {
    results.add(new ScalarResult(
      Defaults.PREFIX + "gc.time",
      gcTime - beforeGCTime,
      "ms",
      AggregationPolicy.AVG));
  }

  for (String space : churn.keys()) {
    double churnRate = (afterTime != beforeTime) ?
      1.0 * churn.count(space) * TimeUnit.SECONDS.toNanos(1) / (afterTime - beforeTime) / 1024 / 1024 :
      Double.NaN;

    double churnNorm = 1.0 * churn.count(space) / iResult.getMetadata().getAllOps();

    String spaceName = space.replaceAll(" ", "_");

    results.add(new ScalarResult(
      Defaults.PREFIX + "gc.churn." + spaceName + "",
      churnRate,
      "MB/sec",
      AggregationPolicy.AVG));

    results.add(new ScalarResult(Defaults.PREFIX + "gc.churn." + spaceName + ".norm",
      churnNorm,
      "B/op",
      AggregationPolicy.AVG));
  }

  if (!usedAfterGc.isEmpty()) {
    Collections.sort(usedAfterGc);
    long _maximumUsedAfterGc = usedAfterGc.get(usedAfterGc.size() - 1);
    results.add(new ScalarResult(Defaults.PREFIX + "gc.maximumUsedAfterGc",
      _maximumUsedAfterGc,
      "bytes",
      AggregationPolicy.AVG));
    System.out.println("maximumUsedAfterGc=" + _maximumUsedAfterGc);
  }
  if (!committedAfterGc.isEmpty()) {
    Collections.sort(committedAfterGc);
    long _committedUsedAfterGc = committedAfterGc.get(committedAfterGc.size() - 1);
    results.add(new ScalarResult(Defaults.PREFIX + "gc.maximumCommittedAfterGc",
      _committedUsedAfterGc,
      "bytes",
      AggregationPolicy.AVG));
    System.out.println("maximumCommittedAfterGc=" + _committedUsedAfterGc);
  }

  return results;
}
 

/**
 * Add result to the JMH result data. If called multiple times with the same label only the last one will be added.
 */
public static void setResult(Result r) {
  results.put(r.getLabel(), r);
}
 

@Override
public Collection<? extends Result> afterIteration(final BenchmarkParams benchmarkParams, final IterationParams iterationParams, final IterationResult result) {
  List<Result> l = new ArrayList<>();
  addLinuxVmStats(PREFIX, l);
  return l;
}
 

@Override public Collection<? extends Result> afterTrial(BenchmarkResult br, long pid,
    File stdOut, File stdErr) {
  return Collections.emptyList();
}
 

@Override
public Collection<? extends Result> afterTrial(BenchmarkResult br, long pid, File stdOut, File stdErr) {
    return Collections.emptyList();
}
 

@Override
public Collection<? extends Result> afterTrial(BenchmarkResult arg0, long arg1, File arg2, File arg3) {
       return new ArrayList<>();
}