Example usage for com.google.common.base Stopwatch Stopwatch

Introduction

In this page you can find the example usage for com.google.common.base Stopwatch Stopwatch.

Prototype

Stopwatch() 

Source Link

Usage

From source file:com.google.collide.server.shared.util.FileHasher.java

public static ByteString getSha1(String contents) {
    Stopwatch stopWatch = new Stopwatch().start();
    ByteString sha1 = ByteString.copyFrom(Hashing.sha1().hashString(contents).asBytes());
    return sha1;/*from w  ww.jav a2s . c o m*/
}

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From source file:com.github.zhongl.util.Benchmarks.java

public static void benchmark(String name, Runnable runnable, int times) {
    Stopwatch stopwatch = new Stopwatch().start();
    runnable.run();//  w ww.  ja  v  a  2 s  .  co m
    stopwatch.stop();

    long latency = stopwatch.elapsedTime(TimeUnit.NANOSECONDS) / times;
    double tps = times * 1.0 / stopwatch.elapsedTime(TimeUnit.MILLISECONDS) * 1000;

    System.out.println(format("{0} : elpase[{1}], latency[{2, number}ns], TPS[{3, number,#.##}]", name,
            stopwatch, latency, tps));
}

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From source file:GuavaStopwatch.java

private static void demonstrateStopwatch() {
    Stopwatch stopWatch = new Stopwatch();
    System.out.println("Is stopwatch running? " + stopWatch.isRunning());

    stopWatch.start();//from w  ww  .java  2  s.  co  m

    for (int i = 0; i < 1000; i++) {
        System.out.println("Is stopwatch running? " + stopWatch.isRunning());
    }

    stopWatch.stop();
    System.out.println("Our loop took : " + stopWatch.elapsedTime(TimeUnit.MILLISECONDS) + " milliseconds");
}

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From source file:hr.fer.tel.rovkp.lab01.Program.java

public static void zad2(String from, String to) {
    Stopwatch timer = new Stopwatch().start();

    FileReaderWriter frw = new FileReaderWriter();
    try {/*from  ww  w.  j av  a2 s .c o  m*/
        frw.work(from, to, StandardCharsets.ISO_8859_1);
    } catch (URISyntaxException | IOException ex) {
        System.err.println(ex);
    } catch (Exception ex) {
        System.err.println(ex);
    }

    timer.stop();
    System.out.println("Read " + frw.readLinesCount() + " lines from " + frw.readFilesCount() + " files.");
    System.out.println("Program finished in " + timer.elapsedTime(TimeUnit.SECONDS) + " seconds.");
}

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From source file:org.apache.drill.exec.store.schedule.AffinityCreator.java

public static <T extends CompleteWork> List<EndpointAffinity> getAffinityMap(List<T> work) {
    Stopwatch watch = new Stopwatch();

    long totalBytes = 0;
    for (CompleteWork entry : work) {
        totalBytes += entry.getTotalBytes();
    }//from   www. j a v a 2 s.c  om

    ObjectFloatOpenHashMap<DrillbitEndpoint> affinities = new ObjectFloatOpenHashMap<DrillbitEndpoint>();
    for (CompleteWork entry : work) {
        for (ObjectLongCursor<DrillbitEndpoint> cursor : entry.getByteMap()) {
            long bytes = cursor.value;
            float affinity = (float) bytes / (float) totalBytes;
            logger.debug("Work: {} Endpoint: {} Bytes: {}", work, cursor.key.getAddress(), bytes);
            affinities.putOrAdd(cursor.key, affinity, affinity);
        }
    }

    List<EndpointAffinity> affinityList = Lists.newLinkedList();
    for (ObjectFloatCursor<DrillbitEndpoint> d : affinities) {
        logger.debug("Endpoint {} has affinity {}", d.key.getAddress(), d.value);
        affinityList.add(new EndpointAffinity(d.key, d.value));
    }

    logger.debug("Took {} ms to get operator affinity", watch.elapsed(TimeUnit.MILLISECONDS));
    return affinityList;
}

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From source file:qa.qcri.qnoise.inject.OutlierInjector.java

@Override
public void act(NoiseContext context, HashMap<String, Object> extras) {
    Stopwatch stopwatch = new Stopwatch().start();
    NoiseSpec spec = context.spec;/*  ww  w  .ja  v  a 2s  .  com*/
    DataProfile profile = context.profile;
    NoiseReport report = context.report;

    String[] selectedColumns = spec.filteredColumns;
    Preconditions.checkArgument(selectedColumns.length == 1,
            "Outlier currently only supports one column (univariable).");

    String selectedColumn = selectedColumns[0];
    DataType type = profile.getType(selectedColumn);
    int columnIndex = profile.getColumnIndex(selectedColumn);

    Preconditions.checkArgument(type == DataType.Numerical, "Outlier only applies to numerical data.");

    double perc = spec.percentage;
    int len = (int) Math.floor(perc * profile.getLength());

    Double std = profile.getStandardDeviationOn(selectedColumn);
    Double mean = profile.getMean(selectedColumn);

    Double lmax = mean + 2 * std; // 95 % in the bell
    Double rmax = mean + 5 * std; // (extra 3 * std)

    ModelBase randomModal = ModelFactory.createRandomModel();
    Random random = new Random();
    int index;
    for (int i = 0; i < len; i++) {
        // TODO: should we ignore the point already in the outlier region
        // how to deal with small deviation data?
        index = randomModal.nextIndexWithoutReplacement(0, profile.getLength(), true);
        double u = Math.random() * (rmax - lmax) + lmax;
        double v = random.nextGaussian() + u;
        Pair<Integer, Integer> record = new Pair<>(index, columnIndex);
        tracer.verbose(String.format("[%d, %d] <- %f", index, columnIndex, v));
        report.logChange(record, profile.getCell(index, columnIndex), Double.toString(v));

        while (!profile.set(record, Double.toString(v))) {
            index = randomModal.nextIndexWithoutReplacement(0, profile.getLength(), false);
            record = new Pair<>(index, columnIndex);
        }
    }

    long elapsedTime = stopwatch.elapsed(TimeUnit.MILLISECONDS);
    report.addMetric(NoiseReport.Metric.InjectionTime, elapsedTime);
    stopwatch.stop();
}

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From source file:qa.qcri.qnoise.inject.MissingInjector.java

/** {@inheritDoc */
@Override/*  w  w  w  .  j  a v a 2  s .com*/
public void act(NoiseContext context, HashMap<String, Object> extras) {
    Stopwatch stopwatch = new Stopwatch().start();
    NoiseSpec spec = context.spec;
    DataProfile profile = context.profile;
    NoiseReport report = context.report;

    NoiseModel model = spec.model;
    ModelBase randomModel = ModelFactory.createRandomModel();

    ModelBase indexGen;
    if (model == NoiseModel.Random) {
        indexGen = ModelFactory.createRandomModel();
    } else {
        String columnName = spec.filteredColumns[0];
        indexGen = ModelFactory.createHistogramModel(profile, columnName);
    }

    double perc = spec.percentage;

    int len = (int) Math.floor(perc * profile.getLength());
    report.addMetric(NoiseReport.Metric.ChangedItem, len);
    int count = 0;
    while (count < len) {
        int index = indexGen.nextIndex(0, profile.getLength());
        GranularityType granularity = spec.granularity;
        if (granularity == GranularityType.Cell) {
            int cellIndex = randomModel.nextIndex(0, profile.getWidth());
            Pair<Integer, Integer> record = new Pair<>(index, cellIndex);
            report.logChange(record, profile.getCell(record), null);
            String oldValue = profile.getCell(index, cellIndex);
            if (profile.set(record, null))
                tracer.infoChange(new Pair<>(index, cellIndex), oldValue, "null");
            else
                tracer.infoUnchange(new Pair<>(index, cellIndex));
        } else {
            // set the whole tuple to missing
            int width = profile.getWidth();
            for (int i = 0; i < width; i++) {
                Pair<Integer, Integer> record = new Pair<>(index, i);
                report.logChange(record, profile.getCell(record), null);
                profile.set(record, null);
                tracer.verbose(String.format("[%d, %d] <- null", index, i));
            }
        }
        count++;
    }

    long elapsedTime = stopwatch.elapsed(TimeUnit.MILLISECONDS);
    report.addMetric(NoiseReport.Metric.InjectionTime, elapsedTime);
    stopwatch.stop();
}

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From source file:qa.qcri.qnoise.inject.DuplicateInjector.java

@Override
public void act(NoiseContext context, HashMap<String, Object> extras) {
    Stopwatch stopwatch = new Stopwatch().start();
    ModelBase indexGen = ModelFactory.createRandomModel();
    double seedperc = context.spec.numberOfSeed;
    double timeperc = context.spec.percentage;

    int nseed = (int) (Math.ceil(context.profile.getLength() * seedperc));
    int ntime = (int) (Math.ceil(context.profile.getLength() * timeperc));

    int count = 0;

    while (count < nseed) {
        int index = indexGen.nextIndex(0, context.profile.getLength());

        for (int i = 0; i < ntime; i++) {
            String[] oldData = context.profile.getReadOnlyTuple(index);
            String[] newData = oldData.clone();
            double[] distance;
            String[] columns = null;
            if (context.spec.filteredColumns != null) {
                columns = context.spec.filteredColumns;
            } else {
                columns = context.profile.getColumnNames();
            }// ww  w.j a  v a2s .  co  m

            if (context.spec.distance != null) {
                distance = context.spec.distance;
                if (distance.length != columns.length) {
                    throw new IllegalArgumentException("Distance has missing or incorrect number of columns.");
                }
            } else {
                distance = new double[columns.length];
            }

            context.profile.append(newData);
            if (Tracer.isVerboseOn()) {
                StringBuilder sb = new StringBuilder("Add ");
                sb.append('[').append(context.profile.getLength() - 1).append("] [ ");
                for (String cell : newData) {
                    sb.append('\'').append(cell).append("\' ");
                }
                sb.append(']');
                tracer.verbose(sb.toString());
            }

            for (int j = 0; j < context.profile.getWidth(); j++) {
                context.report.logInsert(new Pair<>(context.profile.getLength() - 1, j),
                        context.profile.getCell(i, j));
            }

            NoiseHelper.playTheJazz(distance, columns, context.profile, context.profile.getLength() - 1,
                    context.report);
        }
        count++;
    }

    context.report.appendMetric(NoiseReport.Metric.ChangedItem, nseed * ntime);
    context.report.appendMetric(NoiseReport.Metric.PercentageOfDuplicate, timeperc);
    context.report.addMetric(NoiseReport.Metric.InjectionTime, stopwatch.elapsed(TimeUnit.MILLISECONDS));
    context.profile.setDirty();
}

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From source file:qa.qcri.qnoise.inject.ErrorNoiseInjector.java

@Override
public void act(NoiseContext context, HashMap<String, Object> extras) {
    Stopwatch stopwatch = new Stopwatch().start();
    NoiseSpec spec = context.spec;/*from  ww w.  j  a v a 2 s  .  c om*/
    DataProfile profile = context.profile;
    NoiseReport report = context.report;

    NoiseModel model = spec.model;
    ModelBase randomModel = ModelFactory.createRandomModel();

    ModelBase indexGen;
    if (model == NoiseModel.Random) {
        indexGen = ModelFactory.createRandomModel();
    } else {
        String columnName = spec.filteredColumns[0];
        indexGen = ModelFactory.createHistogramModel(profile, columnName);
    }

    double perc = spec.percentage;

    int len = (int) Math.floor(perc * profile.getLength());
    report.addMetric(NoiseReport.Metric.ChangedItem, len);
    int count = 0;
    while (count < len) {
        double distance = 0.0;
        int index = indexGen.nextIndex(0, profile.getWidth());
        int cellIndex;

        if (spec.filteredColumns != null) {
            int filteredCellIndex = randomModel.nextIndex(0, spec.filteredColumns.length);
            String filteredCellName = spec.filteredColumns[filteredCellIndex];
            cellIndex = profile.getColumnIndex(filteredCellName);
            if (spec.distance != null) {
                if (spec.distance.length != spec.filteredColumns.length)
                    throw new IllegalArgumentException("Distance has missing or incorrect number of columns.");
                distance = spec.distance[filteredCellIndex];
            }
        } else {
            cellIndex = randomModel.nextIndex(0, profile.getWidth());
        }

        Pair<Integer, Integer> record = new Pair<>(index, cellIndex);
        if (profile.isDirty(record)) {
            continue;
        }

        // change the data.
        NoiseHelper.playTheJazz(distance, profile.getColumnName(cellIndex), profile, index, report);
        count++;
    }

    long elapsedTime = stopwatch.elapsed(TimeUnit.MILLISECONDS);
    report.addMetric(NoiseReport.Metric.InjectionTime, elapsedTime);
    stopwatch.stop();
}

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From source file:org.apache.drill.jdbc.test.JdbcTestQueryBase.java

protected static void testQuery(String sql) throws Exception {
    boolean success = false;
    try (Connection conn = connect("jdbc:drill:zk=local")) {
        for (int x = 0; x < 1; x++) {
            Stopwatch watch = new Stopwatch().start();
            Statement s = conn.createStatement();
            ResultSet r = s.executeQuery(sql);
            System.out.println(String.format("QueryId: %s", r.unwrap(DrillResultSet.class).getQueryId()));
            boolean first = true;
            while (r.next()) {
                ResultSetMetaData md = r.getMetaData();
                if (first == true) {
                    for (int i = 1; i <= md.getColumnCount(); i++) {
                        System.out.print(md.getColumnName(i));
                        System.out.print('\t');
                    }/*from  ww  w .j ava 2  s .  c o  m*/
                    System.out.println();
                    first = false;
                }

                for (int i = 1; i <= md.getColumnCount(); i++) {
                    System.out.print(r.getObject(i));
                    System.out.print('\t');
                }
                System.out.println();
            }

            System.out.println(
                    String.format("Query completed in %d millis.", watch.elapsed(TimeUnit.MILLISECONDS)));
        }

        System.out.println("\n\n\n");
        success = true;
    } finally {
        if (!success) {
            Thread.sleep(2000);
        }
    }
}

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