Examples with Scalar org.eclipse.test.internal.performance.data.Scalar used on opensource projects

Example 1 with Scalar

use of org.eclipse.test.internal.performance.data.Scalar in project eclipse.platform.releng by eclipse.

the class DB method internalStore.

private boolean internalStore(final Variations variations, final Sample sample) {
    if ((fSQL == null) || (sample == null)) {
        return false;
    }
    final DataPoint[] dataPoints = sample.getDataPoints();
    final int n = dataPoints.length;
    if (n <= 0) {
        return false;
    }
    // System.out.println("store started..."); //$NON-NLS-1$
    try {
        // long l= System.currentTimeMillis();
        final int variation_id = fSQL.getVariations(variations);
        final int scenario_id = fSQL.getScenario(sample.getScenarioID());
        final String comment = sample.getComment();
        if (sample.isSummary()) {
            final boolean isGlobal = sample.isGlobal();
            int commentId = 0;
            final int commentKind = sample.getCommentType();
            if ((commentKind == Performance.EXPLAINS_DEGRADATION_COMMENT) && (comment != null)) {
                commentId = fSQL.getCommentId(commentKind, comment);
            }
            final Dimension[] summaryDimensions = sample.getSummaryDimensions();
            for (final Dimension dimension : summaryDimensions) {
                if (dimension instanceof Dim) {
                    fSQL.createSummaryEntry(variation_id, scenario_id, ((Dim) dimension).getId(), isGlobal, commentId);
                }
            }
            final String shortName = sample.getShortname();
            if (shortName != null) {
                fSQL.setScenarioShortName(scenario_id, shortName);
            }
        } else if (comment != null) {
            int commentId = 0;
            final int commentKind = sample.getCommentType();
            if (commentKind == Performance.EXPLAINS_DEGRADATION_COMMENT) {
                commentId = fSQL.getCommentId(commentKind, comment);
            }
            // use
            fSQL.createSummaryEntry(variation_id, scenario_id, 0, false, commentId);
        // special
        // dim
        // id
        // '0'
        // to
        // identify
        // summary
        // entry
        // created
        // to
        // only
        // handle
        // a
        // comment
        }
        final int sample_id = fSQL.createSample(variation_id, scenario_id, new Timestamp(sample.getStartTime()));
        if (AGGREGATE) {
            final StatisticsSession stats = new StatisticsSession(dataPoints);
            final Dim[] dims = dataPoints[0].getDimensions();
            int datapoint_id = fSQL.createDataPoint(sample_id, 0, InternalPerformanceMeter.AVERAGE);
            for (final Dim dim : dims) {
                fSQL.insertScalar(datapoint_id, dim.getId(), (long) stats.getAverage(dim));
            }
            datapoint_id = fSQL.createDataPoint(sample_id, 0, InternalPerformanceMeter.STDEV);
            for (final Dim dim : dims) {
                // see StatisticsSession
                final long value = Double.doubleToLongBits(stats.getStddev(dim));
                fSQL.insertScalar(datapoint_id, dim.getId(), value);
            }
            datapoint_id = fSQL.createDataPoint(sample_id, 0, InternalPerformanceMeter.SIZE);
            for (final Dim dim : dims) {
                fSQL.insertScalar(datapoint_id, dim.getId(), stats.getCount(dim));
            }
        } else {
            for (int i = 0; i < dataPoints.length; i++) {
                final DataPoint dp = dataPoints[i];
                final int datapoint_id = fSQL.createDataPoint(sample_id, i, dp.getStep());
                final Scalar[] scalars = dp.getScalars();
                for (final Scalar scalar : scalars) {
                    final int dim_id = scalar.getDimension().getId();
                    final long value = scalar.getMagnitude();
                    fSQL.insertScalar(datapoint_id, dim_id, value);
                }
            }
        }
        fConnection.commit();
        fStoredSamples++;
        fStoreCalled = true;
    // System.err.println(System.currentTimeMillis()-l);
    } catch (final SQLException e) {
        PerformanceTestPlugin.log(e);
        try {
            fConnection.rollback();
        } catch (final SQLException e1) {
            PerformanceTestPlugin.log(e1);
        }
    }
    return true;
}

Example 2 with Scalar

use of org.eclipse.test.internal.performance.data.Scalar in project eclipse.platform.releng by eclipse.

the class DB method internalQueryDataPoints.

private DataPoint[] internalQueryDataPoints(final Variations variations, final String scenarioName, final Set<Dim> dimSet) {
    if (fSQL == null) {
        return null;
    }
    long start = System.currentTimeMillis();
    if (DEBUG) {
        // $NON-NLS-1$ //$NON-NLS-2$
        System.out.print("	- query data points from DB for scenario " + scenarioName + "...");
    }
    final ArrayList<DataPoint> dataPoints = new ArrayList<>();
    try (ResultSet rs = fSQL.queryDataPoints(variations, scenarioName)) {
        if (DEBUG) {
            final long time = System.currentTimeMillis();
            // $NON-NLS-1$ //$NON-NLS-2$
            System.out.println("done in " + (time - start) + "ms");
            start = time;
        }
        while (rs.next()) {
            final int datapoint_id = rs.getInt(1);
            final int step = rs.getInt(2);
            final HashMap<Dim, Scalar> map = new HashMap<>();
            try (final ResultSet rs2 = fSQL.queryScalars(datapoint_id)) {
                while (rs2.next()) {
                    final int dim_id = rs2.getInt(1);
                    final long value = rs2.getBigDecimal(2).longValue();
                    final Dim dim = Dim.getDimension(dim_id);
                    if (dim != null) {
                        if ((dimSet == null) || dimSet.contains(dim)) {
                            map.put(dim, new Scalar(dim, value));
                        }
                    }
                }
                if (map.size() > 0) {
                    dataPoints.add(new DataPoint(step, map));
                }
            }
        }
        final int n = dataPoints.size();
        if (DEBUG) {
            final long time = System.currentTimeMillis();
            // $NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$
            System.out.println("		+ " + n + " datapoints created in " + (time - start) + "ms");
        }
        return dataPoints.toArray(new DataPoint[n]);
    } catch (final SQLException e) {
        PerformanceTestPlugin.log(e);
    }
    return null;
}

Example 3 with Scalar

use of org.eclipse.test.internal.performance.data.Scalar in project eclipse.platform.releng by eclipse.

the class AbsoluteBandChecker method test.

@Override
public boolean test(StatisticsSession reference, StatisticsSession measured, StringBuffer message) {
    Dim dimension = getDimension();
    if (!measured.contains(dimension)) {
        // $NON-NLS-1$
        PerformanceTestPlugin.logWarning("collected data provides no dimension '" + dimension.getName() + '\'');
        return true;
    }
    if (!reference.contains(dimension)) {
        // $NON-NLS-1$
        PerformanceTestPlugin.logWarning("reference data provides no dimension '" + dimension.getName() + '\'');
        return true;
    }
    double actual = measured.getAverage(dimension);
    double test = reference.getAverage(dimension);
    if (actual > fUpperBand + test || actual < test - fLowerBand) {
        message.append('\n' + dimension.getName() + ": " + dimension.getDisplayValue(actual) + " is not within [-" + dimension.getDisplayValue(new Scalar(null, fLowerBand)) + ", +" + dimension.getDisplayValue(new Scalar(null, fUpperBand)) + "] of " + // $NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$ //$NON-NLS-4$
        dimension.getDisplayValue(test));
        return false;
    }
    return true;
}

Example 4 with Scalar

use of org.eclipse.test.internal.performance.data.Scalar in project eclipse.platform.releng by eclipse.

the class StatisticsSession method getDelta.

private Scalar getDelta(DataPoint before, DataPoint after, Dim dimension) {
    Scalar one = before.getScalar(dimension);
    // $NON-NLS-1$
    Assert.assertTrue("reference has no value for dimension " + dimension, one != null);
    Scalar two = after.getScalar(dimension);
    // $NON-NLS-1$
    Assert.assertTrue("reference has no value for dimension " + dimension, two != null);
    return new Scalar(one.getDimension(), two.getMagnitude() - one.getMagnitude());
}

Example 5 with Scalar

use of org.eclipse.test.internal.performance.data.Scalar in project eclipse.platform.releng by eclipse.

the class StatisticsSession method computeStatsFromAggregates.

private Statistics computeStatsFromAggregates(Dim dimension) {
    Statistics stats = new Statistics();
    long aggregateCount = 0;
    double averageSum = 0;
    long countSum = 0;
    double stdevSum = 0;
    // Set acquiredAggregates= new HashSet();
    for (int i = 0; i < fDataPoints.length; i++) {
        DataPoint point = fDataPoints[i];
        Scalar scalar = point.getScalar(dimension);
        if (scalar == null)
            continue;
        Integer aggregate = Integer.valueOf(point.getStep());
        // allow for multiple measurements that were each stored with their own
        // aggregate values
        // Assert.assertTrue(acquiredAggregates.add(aggregate));
        long magnitude = scalar.getMagnitude();
        switch(aggregate.intValue()) {
            case InternalPerformanceMeter.AVERAGE:
                averageSum += magnitude;
                aggregateCount++;
                break;
            case InternalPerformanceMeter.STDEV:
                // see DB.internalStore
                stdevSum += Double.longBitsToDouble(magnitude);
                break;
            case InternalPerformanceMeter.SIZE:
                countSum += magnitude;
                break;
            default:
                // $NON-NLS-1$
                Assert.fail("only average, stdev and size are supported in aggregate mode");
                break;
        }
    }
    stats.average = averageSum / aggregateCount;
    // XXX this does not work! have to treat multiple runs like normal measurement
    stats.stddev = stdevSum / aggregateCount;
    // data
    stats.count = countSum;
    stats.sum = Math.round(stats.count * stats.average);
    return stats;
}