Package com.proofpoint.testing

Examples of com.proofpoint.testing.TestingTicker

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    @BeforeMethod
    protected void setUp()
            throws Exception
    {
        httpServiceBalancerStats = mock(HttpServiceBalancerStats.class);
        testingTicker = new TestingTicker();
        httpServiceBalancer = new HttpServiceBalancerImpl("type=[apple], pool=[pool]", httpServiceBalancerStats, testingTicker);
    }
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    private TestingTicker ticker;

    @BeforeMethod
    public void setup()
    {
        ticker = new TestingTicker();
    }
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    private TestingTicker ticker;

    @BeforeMethod
    public void setup()
    {
        ticker = new TestingTicker();
    }
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    @Test
    public void testBasicCompression()
    {
        // maxError = 0.8 so that we get compression factor = 5 with the data below
        QuantileDigest digest = new QuantileDigest(0.8, 0, new TestingTicker(), false);

        List<Integer> values = asList(0, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 4, 5, 6, 7);
        addAll(digest, values);

        digest.compress();
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    @Test
    public void testCompression()
            throws Exception
    {
        QuantileDigest digest = new QuantileDigest(1, 0, new TestingTicker(), false);

        for (int loop = 0; loop < 2; ++loop) {
            addRange(digest, 0, 15);

            digest.compress();
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    @Test
    public void testDecayedQuantiles()
            throws Exception
    {
        TestingTicker ticker = new TestingTicker();
        QuantileDigest digest = new QuantileDigest(1, ExponentialDecay.computeAlpha(0.5, 60), ticker, true);

        addAll(digest, asList(0, 1, 2, 3, 4, 5, 6, 7, 8, 9));

        // should have no compressions with so few values and the allowed error
        assertEquals(digest.getCompressions(), 0);
        assertEquals(digest.getConfidenceFactor(), 0.0);

        ticker.increment(60, TimeUnit.SECONDS);
        addAll(digest, asList(10, 11, 12, 13, 14, 15, 16, 17, 18, 19));

        // Considering that the first 10 values now have a weight of 0.5 per the alpha factor, they only contributed a count
        // of 5 to rank computations. Therefore, the 50th percentile is equivalent to a weighted rank of (5 + 10) / 2 = 7.5,
        // which corresponds to value 12
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    @Test
    public void testDecayedCounts()
            throws Exception
    {
        TestingTicker ticker = new TestingTicker();
        QuantileDigest digest = new QuantileDigest(1, ExponentialDecay.computeAlpha(0.5, 60), ticker, true);

        addAll(digest, asList(0, 1, 2, 3, 4, 5, 6, 7, 8, 9));

        // should have no compressions with so few values and the allowed error
        assertEquals(digest.getCompressions(), 0);
        assertEquals(digest.getConfidenceFactor(), 0.0);

        ticker.increment(60, TimeUnit.SECONDS);
        addAll(digest, asList(10, 11, 12, 13, 14, 15, 16, 17, 18, 19));

        // The first 10 values only contribute 5 to the counts per the alpha factor
        assertEquals(
                digest.getHistogram(asList(10L, 20L)),
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    public void testDecayedCountsWithClockIncrementSmallerThanRescaleThreshold()
            throws Exception
    {
        int targetAgeInSeconds = (int) (QuantileDigest.RESCALE_THRESHOLD_SECONDS - 1);

        TestingTicker ticker = new TestingTicker();
        QuantileDigest digest = new QuantileDigest(1,
                ExponentialDecay.computeAlpha(0.5, targetAgeInSeconds), ticker, false);

        addAll(digest, asList(0, 1, 2, 3, 4, 5, 6, 7, 8, 9));
        ticker.increment(targetAgeInSeconds, TimeUnit.SECONDS);
        addAll(digest, asList(10, 11, 12, 13, 14, 15, 16, 17, 18, 19));

        // The first 10 values only contribute 5 to the counts per the alpha factor
        assertEquals(
                digest.getHistogram(asList(10L, 20L)),
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    @Test
    public void testMinMax()
            throws Exception
    {
        QuantileDigest digest = new QuantileDigest(0.01, 0, new TestingTicker(), false);

        int from = 500;
        int to = 700;
        addRange(digest, from, to + 1);
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    @Test
    public void testMinMaxWithDecay()
            throws Exception
    {
        TestingTicker ticker = new TestingTicker();

        QuantileDigest digest = new QuantileDigest(0.01,
                ExponentialDecay.computeAlpha(QuantileDigest.ZERO_WEIGHT_THRESHOLD, 60), ticker, false);

        addRange(digest, 1, 10);

        ticker.increment(1000, TimeUnit.SECONDS); // TODO: tighter bounds?

        int from = 4;
        int to = 7;
        addRange(digest, from, to + 1);
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Related Classes of com.proofpoint.testing.TestingTicker

  • com.proofpoint.http.client.balancing.TestHttpServiceBalancerImpl
  • com.proofpoint.reporting.TestMinuteBucketIdProvider
  • com.proofpoint.stats.BenchmarkQuantileDigest
  • com.proofpoint.stats.TestDecayCounter
  • com.proofpoint.stats.TestQuantileDigest
  • com.proofpoint.stats.TestSparseTimeStat
  • com.proofpoint.stats.TestTimeStat
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