public void Should_correct_calculate_weights_by_latency(double replicaStdDev, double replicaAvg, double expectedWeight)
{
var timeStamp = DateTime.UtcNow;
var clusterStatistic = new AggregatedStatistic(1000, 0.2, 70, 300, timeStamp);
var replicaStatistic = new AggregatedStatistic(1000, 0.2, replicaStdDev, replicaAvg, timeStamp);
var calculatedWeight = relativeWeightCalculator
.Calculate(clusterStatistic, replicaStatistic, new Weight(settings.InitialWeight, timeStamp - settings.WeightUpdatePeriod), settings);
calculatedWeight.Value.Should().BeApproximately(expectedWeight, 0.001);
calculatedWeight.Timestamp.Should().Be(timeStamp);
}
public void Should_correct_calculate_weights_by_statuses(double replicaTotalCount, double replicaErrorFraction, double expectedWeight)
{
settings.WeightUpdatePeriod = 10.Seconds();
settings.WeightByStatusesRpsThreshold = 10;
var timeStamp = DateTime.UtcNow;
var clusterStatistic = new AggregatedStatistic(100, 0.2, 70, 300, timeStamp);
var replicaStatistic = new AggregatedStatistic(replicaTotalCount, replicaErrorFraction, 10000, 1000, timeStamp);
var calculatedWeight = relativeWeightCalculator
.Calculate(clusterStatistic, replicaStatistic, new Weight(settings.InitialWeight, timeStamp - settings.WeightUpdatePeriod), settings);
calculatedWeight.Value.Should().BeApproximately(expectedWeight, 0.001);
calculatedWeight.Timestamp.Should().Be(timeStamp);
}
public void Should_smooth_statistic(int[] responseTimes, double expectedMean, double expectedStdDev)
{
var timestamp = DateTime.UtcNow;
var previousStatistic = new AggregatedStatistic(10, 0.1, 3, 8.125, timestamp - 5.Seconds());
foreach (var responseTime in responseTimes)
{
statisticBucket.Report(Accepted(responseTime));
}
var smoothedStat = statisticBucket
.Aggregate(timestamp)
.Smooth(previousStatistic, 15.Seconds());
smoothedStat.Timestamp.Should().Be(timestamp);
smoothedStat.Mean.Should().BeApproximately(expectedMean, 0.001);
smoothedStat.StdDev.Should().BeApproximately(expectedStdDev, 0.001);
smoothedStat.TotalCount.Should().BeApproximately(9.433, 0.001);
smoothedStat.ErrorFraction.Should().BeApproximately(0.071, 0.001);
}
public void Update_should_add_new_statistic()
{
var clusterStatistic = new AggregatedStatistic(10, 0.2, 3, 15, DateTime.UtcNow);
var replicasStatistic = new Dictionary <Uri, AggregatedStatistic>()
{
[new Uri("http://r1")] = new AggregatedStatistic(10, 0.2, 7, 2.5, DateTime.UtcNow),
[new Uri("http://r2")] = new AggregatedStatistic(10, 0.2, 8, 9, DateTime.UtcNow),
[new Uri("http://r3")] = new AggregatedStatistic(10, 0.2, 0.5, 0.35, DateTime.UtcNow),
};
statisticsHistory.Update(new AggregatedClusterStatistic(clusterStatistic, replicasStatistic), statisticTTL);
var clusterStats = statisticsHistory.Get();
clusterStats.Cluster.Should().Be(clusterStatistic);
clusterStats.Replicas.Count.Should().Be(3);
foreach (var(replica, statistic) in clusterStats.Replicas)
{
statistic.Should().Be(replicasStatistic[replica]);
}
}
public void Update_should_delete_obsolete_statistics()
{
var r1 = new Uri("http://r1");
var r2 = new Uri("http://r2");
var r3 = new Uri("http://r3");
var clusterStatistic = new AggregatedStatistic(10, 0.2, 3, 15, DateTime.UtcNow);
var replicasStatistic = new Dictionary <Uri, AggregatedStatistic>()
{
[r1] = new AggregatedStatistic(10, 0.2, 7, 2.5, DateTime.UtcNow - 20.Seconds()),
[r2] = new AggregatedStatistic(10, 0.2, 8, 9, DateTime.UtcNow - 40.Seconds()),
[r3] = new AggregatedStatistic(10, 0.2, 0.5, 0.35, DateTime.UtcNow - 2.Minutes()),
};
statisticsHistory.Update(new AggregatedClusterStatistic(clusterStatistic, replicasStatistic), 1.Hours());
var clusterStats = statisticsHistory.Get();
clusterStats.Cluster.Should().Be(clusterStatistic);
clusterStats.Replicas.Count.Should().Be(3);
foreach (var(replica, statistic) in clusterStats.Replicas)
{
statistic.Should().Be(replicasStatistic[replica]);
}
var newReplicasStats = new Dictionary <Uri, AggregatedStatistic>()
{
[r2] = new AggregatedStatistic(10, 0.2, 5, 10, DateTime.UtcNow)
};
statisticsHistory.Update(new AggregatedClusterStatistic(clusterStatistic, newReplicasStats), 1.Minutes());
clusterStats = statisticsHistory.Get();
clusterStats.Cluster.Should().Be(clusterStatistic);
clusterStats.Replicas.Count.Should().Be(2);
clusterStats.Replicas[r1].Should().Be(replicasStatistic[r1]);
clusterStats.Replicas[r2].Should().Be(newReplicasStats[r2]);
}
public void Update_should_correct_update_current_statistic()
{
var r1 = new Uri("http://r1");
var r2 = new Uri("http://r2");
var r3 = new Uri("http://r3");
var clusterStatistic = new AggregatedStatistic(10, 0.2, 3, 15, DateTime.UtcNow);
var replicasStatistic = new Dictionary <Uri, AggregatedStatistic>()
{
[r1] = new AggregatedStatistic(10, 0.2, 7, 2.5, DateTime.UtcNow),
[r2] = new AggregatedStatistic(10, 0.2, 8, 9, DateTime.UtcNow),
[r3] = new AggregatedStatistic(10, 0.2, 0.5, 0.35, DateTime.UtcNow),
};
statisticsHistory.Update(new AggregatedClusterStatistic(clusterStatistic, replicasStatistic), statisticTTL);
var clusterStats = statisticsHistory.Get();
clusterStats.Cluster.Should().Be(clusterStatistic);
foreach (var(replica, statistic) in clusterStats.Replicas)
{
statistic.Should().Be(replicasStatistic[replica]);
}
var newCluster = new AggregatedStatistic(10, 0.2, 1, 1, DateTime.UtcNow);
var newReplicas = new Dictionary <Uri, AggregatedStatistic>()
{
[new Uri("http://r3")] = new AggregatedStatistic(10, 0.2, 9.5, 1.35, DateTime.UtcNow),
};
statisticsHistory.Update(new AggregatedClusterStatistic(newCluster, newReplicas), statisticTTL);
clusterStats = statisticsHistory.Get();
clusterStats.Cluster.Should().Be(newCluster);
clusterStats.Replicas[r1].Should().Be(replicasStatistic[r1]);
clusterStats.Replicas[r2].Should().Be(replicasStatistic[r2]);
clusterStats.Replicas[r3].Should().Be(newReplicas[r3]);
}