public void CheckMetricsAggregationLogic()
{
MetricInfo metrics = new MetricInfo("metricsName", "unitName");
LongConcurrentHistogram histogram = new LongConcurrentHistogram(1,
Int64.MaxValue,
5);
histogram.RecordValue((long)10);
histogram.RecordValue((long)20);
histogram.RecordValue((long)30);
histogram.RecordValue((long)40);
metrics.SetAggregators(histogram);
Assert.AreEqual(40, metrics.Max);
Assert.AreEqual(10, metrics.Min);
Assert.AreEqual(4, metrics.Count);
Assert.AreEqual(25, metrics.Mean);
Assert.AreEqual(20, metrics.Percentiles[ClientTelemetryOptions.Percentile50]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile90]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile95]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile99]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile999]);
}
public void CheckMetricsAggregationLogicWithAdjustment()
{
MetricInfo metrics = new MetricInfo("metricsName", "unitName");
long adjustmentFactor = 1000;
LongConcurrentHistogram histogram = new LongConcurrentHistogram(1,
Int64.MaxValue,
5);
histogram.RecordValue((long)(10 * adjustmentFactor));
histogram.RecordValue((long)(20 * adjustmentFactor));
histogram.RecordValue((long)(30 * adjustmentFactor));
histogram.RecordValue((long)(40 * adjustmentFactor));
metrics.SetAggregators(histogram, adjustmentFactor);
Assert.AreEqual(40, metrics.Max);
Assert.AreEqual(10, metrics.Min);
Assert.AreEqual(4, metrics.Count);
Assert.AreEqual(25, metrics.Mean);
Assert.AreEqual(20, metrics.Percentiles[ClientTelemetryOptions.Percentile50]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile90]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile95]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile99]);
Assert.AreEqual(40, metrics.Percentiles[ClientTelemetryOptions.Percentile999]);
}
/// <summary>
/// Collecting CPU usage information and aggregating that data using Histogram
/// </summary>
/// <param name="systemUsageCollection"></param>
/// <returns>SystemInfo</returns>
public static SystemInfo GetCpuInfo(IReadOnlyCollection <SystemUsageLoad> systemUsageCollection)
{
LongConcurrentHistogram histogram = new LongConcurrentHistogram(ClientTelemetryOptions.CpuMin,
ClientTelemetryOptions.CpuMax,
ClientTelemetryOptions.CpuPrecision);
SystemInfo systemInfo = new SystemInfo(ClientTelemetryOptions.CpuName, ClientTelemetryOptions.CpuUnit);
foreach (SystemUsageLoad load in systemUsageCollection)
{
if (float.IsNaN(load.CpuUsage.Value))
{
continue;
}
long?infoToRecord = (long?)load.CpuUsage * ClientTelemetryOptions.HistogramPrecisionFactor;
if (infoToRecord.HasValue)
{
histogram.RecordValue((long)infoToRecord);
}
}
if (histogram.TotalCount > 0)
{
systemInfo.SetAggregators(histogram, ClientTelemetryOptions.HistogramPrecisionFactor);
}
return(systemInfo);
}
/// <summary>
/// Collecting TCP Connection Count and aggregating using Histogram
/// </summary>
/// <param name="systemUsageCollection"></param>
/// <returns>SystemInfo</returns>
public static SystemInfo GetTcpConnectionCount(IReadOnlyCollection <SystemUsageLoad> systemUsageCollection)
{
LongConcurrentHistogram histogram = new LongConcurrentHistogram(ClientTelemetryOptions.NumberOfTcpConnectionMin,
ClientTelemetryOptions.NumberOfTcpConnectionMax,
ClientTelemetryOptions.NumberOfTcpConnectionPrecision);
SystemInfo systemInfo = new SystemInfo(ClientTelemetryOptions.NumberOfTcpConnectionName, ClientTelemetryOptions.NumberOfTcpConnectionUnit);
foreach (SystemUsageLoad load in systemUsageCollection)
{
int?infoToRecord = load.NumberOfOpenTcpConnections;
// If anyhow, there are more than 70000 TCP connections, just fallback to 69999
if (infoToRecord.HasValue && infoToRecord.Value >= ClientTelemetryOptions.NumberOfTcpConnectionMax)
{
infoToRecord = (int)(ClientTelemetryOptions.NumberOfTcpConnectionMax - 1);
}
if (infoToRecord.HasValue)
{
histogram.RecordValue(infoToRecord.Value);
}
}
if (histogram.TotalCount > 0)
{
systemInfo.SetAggregators(histogram);
}
return(systemInfo);
}
public long LongConcurrentHistogramRecording()
{
long counter = 0L;
for (int i = 0; i < _testValues.Length; i++)
{
var value = _testValues[i];
_longConcurrentHistogram.RecordValue(value);
counter += value;
}
return(counter);
}
/// <summary>
/// Collecting Available Thread information and aggregating that data using Histogram
/// </summary>
/// <param name="systemUsageCollection"></param>
/// <returns>SystemInfo</returns>
public static SystemInfo GetAvailableThreadsInfo(IReadOnlyCollection <SystemUsageLoad> systemUsageCollection)
{
LongConcurrentHistogram histogram = new LongConcurrentHistogram(ClientTelemetryOptions.AvailableThreadsMin,
ClientTelemetryOptions.AvailableThreadsMax,
ClientTelemetryOptions.AvailableThreadsPrecision);
SystemInfo systemInfo = new SystemInfo(ClientTelemetryOptions.AvailableThreadsName, ClientTelemetryOptions.AvailableThreadsUnit);
foreach (SystemUsageLoad load in systemUsageCollection)
{
long?infoToRecord = (long?)load.ThreadInfo?.AvailableThreads;
if (infoToRecord.HasValue)
{
histogram.RecordValue((long)infoToRecord);
}
}
if (histogram.TotalCount > 0)
{
systemInfo.SetAggregators(histogram);
}
return(systemInfo);
}
/// <summary>
/// Collecting Memory Remaining information and aggregating that data using Histogram
/// </summary>
/// <param name="systemUsageCollection"></param>
/// <returns>SystemInfo</returns>
public static SystemInfo GetMemoryRemainingInfo(IReadOnlyCollection <SystemUsageLoad> systemUsageCollection)
{
LongConcurrentHistogram histogram = new LongConcurrentHistogram(ClientTelemetryOptions.MemoryMin,
ClientTelemetryOptions.MemoryMax,
ClientTelemetryOptions.MemoryPrecision);
SystemInfo systemInfo = new SystemInfo(ClientTelemetryOptions.MemoryName, ClientTelemetryOptions.MemoryUnit);
foreach (SystemUsageLoad load in systemUsageCollection)
{
long?infoToRecord = (long?)load.MemoryAvailable;
if (infoToRecord.HasValue)
{
histogram.RecordValue((long)infoToRecord);
}
}
if (histogram.TotalCount > 0)
{
systemInfo.SetAggregators(histogram, ClientTelemetryOptions.KbToMbFactor);
}
return(systemInfo);
}
/// <summary>
/// Collecting Thread Wait Interval in Millisecond and aggregating using Histogram
/// </summary>
/// <param name="systemUsageCollection"></param>
/// <returns>SystemInfo</returns>
public static SystemInfo GetThreadWaitIntervalInMs(IReadOnlyCollection <SystemUsageLoad> systemUsageCollection)
{
LongConcurrentHistogram histogram = new LongConcurrentHistogram(ClientTelemetryOptions.ThreadWaitIntervalInMsMin,
ClientTelemetryOptions.ThreadWaitIntervalInMsMax,
ClientTelemetryOptions.ThreadWaitIntervalInMsPrecision);
SystemInfo systemInfo = new SystemInfo(ClientTelemetryOptions.ThreadWaitIntervalInMsName, ClientTelemetryOptions.ThreadWaitIntervalInMsUnit);
foreach (SystemUsageLoad load in systemUsageCollection)
{
double?infoToRecord = load.ThreadInfo?.ThreadWaitIntervalInMs;
if (infoToRecord.HasValue)
{
histogram.RecordValue(TimeSpan.FromMilliseconds(infoToRecord.Value).Ticks);
}
}
if (histogram.TotalCount > 0)
{
systemInfo.SetAggregators(histogram, ClientTelemetryOptions.TicksToMsFactor);
}
return(systemInfo);
}
private static LongConcurrentHistogram RunTest(RunInfo run)
{
var config = run.Configuration;
var pool = new RoundRobinPool(config.PoolSize, config.ProjectId);
var histogram = new LongConcurrentHistogram(1L, TimeStamp.Minutes(10), 4);
long documentCounter = 0;
var data = new byte[config.DataSize];
RandomNumberGenerator.Create().GetBytes(data);
// Warm the pool up with no throttling
SemaphoreSlim qpsThrottle = new SemaphoreSlim(config.PoolSize);
for (int i = 0; i < config.PoolSize; i++)
{
WriteBatchAsync().GetAwaiter().GetResult();
}
// Discard the warm-up results
histogram.Reset();
long batchesLeft = config.Batches;
long completed = 0;
var tasks = Enumerable
.Range(0, config.TaskCount)
.Select(_ => Task.Run(WriteBatchesAsync))
.ToArray();
// Start tasks that we don't need to wait for at the end. (They will complete,
// but possibly not immediately, and that's fine.)
Task.Run(PrintDiagnosticsAsync);
Task.Run(ReleaseThrottleAsync);
Task.WaitAll(tasks);
Interlocked.Increment(ref completed);
return(histogram);
async Task WriteBatchesAsync()
{
while (Interlocked.Decrement(ref batchesLeft) >= 0)
{
await WriteBatchAsync();
}
}
async Task WriteBatchAsync()
{
var db = pool.GetFirestoreDb();
var batch = db.StartBatch();
for (int i = 0; i < config.BatchSize; i++)
{
var documentRef = db.Collection(run.Collection).Document();
var document = new SampleDocument
{
Id = Interlocked.Increment(ref documentCounter),
Data = data
};
batch.Create(documentRef, document);
}
await qpsThrottle.WaitAsync();
long start = Stopwatch.GetTimestamp();
await batch.CommitAsync();
long end = Stopwatch.GetTimestamp();
histogram.RecordValue(Math.Max(1L, end - start));
}
async Task ReleaseThrottleAsync()
{
Stopwatch stopwatch = Stopwatch.StartNew();
long released = 0;
// Every ~50ms, see how many more batches we should release
while (Interlocked.Read(ref completed) == 0)
{
await Task.Delay(50);
long targetRelease = (stopwatch.ElapsedTicks * config.TargetQps) / Stopwatch.Frequency;
qpsThrottle.Release((int)(targetRelease - released));
released = targetRelease;
}
}
async Task PrintDiagnosticsAsync()
{
while (Interlocked.Read(ref completed) == 0)
{
Log($"Batches left to start: {Interlocked.Read(ref batchesLeft)}");
await Task.Delay(1000);
}
}
}