// This method gets called by the runtime. Use this method to configure the HTTP request pipeline.
public void Configure(IApplicationBuilder app, IWebHostEnvironment env)
{
if (env.IsDevelopment())
{
app.UseDeveloperExceptionPage();
}
app.UseHttpsRedirection();
app.UseRouting();
app.UseAuthorization();
var appInsightsConfig = app.ApplicationServices.GetService <TelemetryConfiguration>();
TelemetryProcessorChainBuilder builder = appInsightsConfig.TelemetryProcessorChainBuilder;
// some custom telemetry processor for Application Insights that filters out synthetic traffic (e.g traffic that comes from Azure to keep the server awake).
builder.UseAdaptiveSampling(excludedTypes: "Exception");
builder.UseAdaptiveSampling(maxTelemetryItemsPerSecond: 10000);
builder.Build();
app.UseEndpoints(endpoints =>
{
endpoints.MapControllers();
});
}
protected void Application_Start()
{
AreaRegistration.RegisterAllAreas();
FilterConfig.RegisterGlobalFilters(GlobalFilters.Filters);
RouteConfig.RegisterRoutes(RouteTable.Routes);
BundleConfig.RegisterBundles(BundleTable.Bundles);
//ApplicationInsight
//Initializers:
TelemetryConfiguration.Active.TelemetryInitializers.Add(new HttpTelemetryInitializer());
TelemetryConfiguration.Active.TelemetryInitializers.Add(new HttpRequestTelemetryInitializer());
TelemetryConfiguration.Active.TelemetryInitializers.Add(new WebMethodInitializer());
//Procesors:
TelemetryProcessorChainBuilder builder = TelemetryConfiguration.Active.DefaultTelemetrySink.TelemetryProcessorChainBuilder;
builder.Use((next) => new TelemetryUnAuthorizedFilter(next));
builder.Use((next) => new TelemetryPathFilter(next));
builder.Use((next) => new TelemetryBotFilter(next));
builder.Use((next) => new TelemetryFastRemoteDependencyCallsFilter(next));
builder.Use((next) => new SuccessfulDependencyFilter(next));
builder.Build();
}
private static TelemetryProcessorChain CreateTelemetryProcessorChainWithSampling(IList <ITelemetry> sentTelemetry, double samplingPercentage, string excludedTypes = null, string includedTypes = null)
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
tc.InstrumentationKey = Guid.NewGuid().ToString("D");
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseSampling(samplingPercentage, excludedTypes, includedTypes);
channelBuilder.Use(next => new StubTelemetryProcessor(next)
{
OnProcess = t => sentTelemetry.Add(t)
});
channelBuilder.Build();
TelemetryProcessorChain processors = tc.TelemetryProcessorChain;
foreach (ITelemetryProcessor processor in processors.TelemetryProcessors)
{
ITelemetryModule m = processor as ITelemetryModule;
if (m != null)
{
m.Initialize(tc);
}
}
return(processors);
}
internal static TelemetryConfiguration CreateTelemetryConfigWithExtractor(IList <ITelemetry> telemetrySentToChannel,
Func <ITelemetryProcessor, AutocollectedMetricsExtractor> extractorFactory)
{
ITelemetryChannel channel = new StubTelemetryChannel {
OnSend = (t) => telemetrySentToChannel.Add(t)
};
string iKey = Guid.NewGuid().ToString("D");
TelemetryConfiguration telemetryConfig = new TelemetryConfiguration(iKey, channel);
var channelBuilder = new TelemetryProcessorChainBuilder(telemetryConfig);
channelBuilder.Use(extractorFactory);
channelBuilder.Build();
TelemetryProcessorChain processors = telemetryConfig.TelemetryProcessorChain;
foreach (ITelemetryProcessor processor in processors.TelemetryProcessors)
{
ITelemetryModule m = processor as ITelemetryModule;
if (m != null)
{
m.Initialize(telemetryConfig);
}
}
return(telemetryConfig);
}
public static TelemetryConfiguration CreateAITelemetryConfig(out IList <ITelemetry> telemetrySentToChannel)
{
StubApplicationInsightsTelemetryChannel channel = new StubApplicationInsightsTelemetryChannel();
string iKey = Guid.NewGuid().ToString("D");
TelemetryConfiguration telemetryConfig = new TelemetryConfiguration(iKey, channel);
var channelBuilder = new TelemetryProcessorChainBuilder(telemetryConfig);
channelBuilder.Build();
foreach (ITelemetryProcessor initializer in telemetryConfig.TelemetryInitializers)
{
ITelemetryModule m = initializer as ITelemetryModule;
if (m != null)
{
m.Initialize(telemetryConfig);
}
}
foreach (ITelemetryProcessor processor in telemetryConfig.TelemetryProcessors)
{
ITelemetryModule m = processor as ITelemetryModule;
if (m != null)
{
m.Initialize(telemetryConfig);
}
}
telemetrySentToChannel = channel.TelemetryItems;
return(telemetryConfig);
}
public ApplicationInsightsWriter(string instrumentationKey, WriterOptions options)
{
TelemetryConfiguration.Active.InstrumentationKey = instrumentationKey;
TelemetryProcessorChainBuilder builder = TelemetryConfiguration.Active.TelemetryProcessorChainBuilder;
QuickPulseTelemetryProcessor quickPulseProcessor = null;
// add our own telemetry processor that can override session based variables
//builder.Use(next => new LogMagicTelemetryProcessor(next));
// optionally enable QuickPulse
/*
* - Free and is not counted towards the bill.
* - The latency is 1 second compared to a few minutes.
* - Retention is while the data is on the chart, not 90 days.
* - Data is only streamed while you are in Live Metrics view.
*/
if (options.EnableQuickPulse)
{
builder.Use((next) =>
{
quickPulseProcessor = new QuickPulseTelemetryProcessor(next);
return(quickPulseProcessor);
});
}
builder.Build();
_telemetryClient = new TelemetryClient(TelemetryConfiguration.Active);
_telemetryClient.InstrumentationKey = instrumentationKey;
_context = new InsightsContext(_telemetryClient, options);
if (options.EnableQuickPulse)
{
var quickPulse = new QuickPulseTelemetryModule();
quickPulse.Initialize(TelemetryConfiguration.Active);
quickPulse.RegisterTelemetryProcessor(quickPulseProcessor);
}
#if NETFULL
// see https://github.com/Microsoft/ApplicationInsights-dotnet-server/blob/develop/Src/PerformanceCollector/Perf.Shared/PerformanceCollectorModule.cs
if (options.CollectPerformanceCounters)
{
//optionally enable performance counters collection
var pcm = new PerformanceCollectorModule();
//custom counters can be easily added here if required
pcm.Counters.Add(new PerformanceCounterCollectionRequest(@"\.NET CLR Memory(LogMagic.Console)\# GC Handles", "GC Handles"));
pcm.Initialize(TelemetryConfiguration.Active);
}
#endif
TelemetryConfiguration.Active.TelemetryInitializers.Add(new OperationTelemetryInitialiser());
_options = options;
}
public void UseAdaptiveSamplingAddsAdaptiveSamplingProcessorToTheChainWithCorrectExcludedTypes()
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseAdaptiveSampling("request");
channelBuilder.Build();
Assert.AreEqual("request", ((AdaptiveSamplingTelemetryProcessor)tc.TelemetryProcessorChain.FirstTelemetryProcessor).ExcludedTypes);
}
public void UseSamplingSetsAddsSamplingProcessorToTheChainWithCorrectPercentage()
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseSampling(5);
channelBuilder.Build();
Assert.AreEqual(5, ((SamplingTelemetryProcessor)tc.TelemetryProcessorChain.FirstTelemetryProcessor).SamplingPercentage);
}
public void UseAdaptiveSamplingAddsAdaptiveSamplingProcessorToTheChain()
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseAdaptiveSampling();
channelBuilder.Build();
AssertEx.IsType <AdaptiveSamplingTelemetryProcessor>(tc.TelemetryProcessorChain.FirstTelemetryProcessor);
}
public void UseAdaptiveSamplingAddsAdaptiveSamplingProcessorToTheChainWithCorrectMaxTelemetryItemsPerSecond()
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseAdaptiveSampling(5);
channelBuilder.Build();
Assert.AreEqual(5, ((AdaptiveSamplingTelemetryProcessor)tc.TelemetryProcessorChain.FirstTelemetryProcessor).MaxTelemetryItemsPerSecond);
}
internal TelemetryConfiguration InitializeConfiguration()
{
TelemetryConfiguration config = new TelemetryConfiguration()
{
InstrumentationKey = _instrumentationKey
};
AddInitializers(config);
// Plug in Live stream and adaptive sampling
QuickPulseTelemetryProcessor processor = null;
TelemetryProcessorChainBuilder builder = config.TelemetryProcessorChainBuilder
.Use((next) =>
{
processor = new QuickPulseTelemetryProcessor(next);
return(processor);
});
if (_samplingSettings != null)
{
builder.Use((next) =>
{
return(new AdaptiveSamplingTelemetryProcessor(_samplingSettings, null, next));
});
}
builder.Build();
_quickPulseModule = new QuickPulseTelemetryModule();
_quickPulseModule.Initialize(config);
_quickPulseModule.RegisterTelemetryProcessor(processor);
// Plug in perf counters
_perfModule = new PerformanceCollectorModule();
_perfModule.Initialize(config);
// Configure the TelemetryChannel
ITelemetryChannel channel = CreateTelemetryChannel();
// call Initialize if available
ITelemetryModule module = channel as ITelemetryModule;
if (module != null)
{
module.Initialize(config);
}
config.TelemetryChannel = channel;
return(config);
}
public void AllTelemetryCapturedWhenProductionRateIsLow()
{
var sentTelemetry = new List <ITelemetry>();
int itemsProduced = 0;
using (var tc = new TelemetryConfiguration()
{
TelemetryChannel = new StubTelemetryChannel()
})
{
var chainBuilder = new TelemetryProcessorChainBuilder(tc);
// set up adaptive sampling that evaluates and changes sampling % frequently
chainBuilder
.UseAdaptiveSampling(
new Channel.Implementation.SamplingPercentageEstimatorSettings()
{
EvaluationInterval = TimeSpan.FromSeconds(1),
SamplingPercentageDecreaseTimeout = TimeSpan.FromSeconds(2),
SamplingPercentageIncreaseTimeout = TimeSpan.FromSeconds(2),
},
this.TraceSamplingPercentageEvaluation)
.Use((next) => new StubTelemetryProcessor(next)
{
OnProcess = (t) => sentTelemetry.Add(t)
});
chainBuilder.Build();
const int productionFrequencyMs = 1000;
var productionTimer = new Timer(
(state) =>
{
tc.TelemetryProcessorChain.Process(new RequestTelemetry());
itemsProduced++;
},
null,
productionFrequencyMs,
productionFrequencyMs);
Thread.Sleep(25000);
// dispose timer and wait for callbacks to complete
DisposeTimer(productionTimer);
}
Assert.AreEqual(itemsProduced, sentTelemetry.Count);
}
public ApplicationInsightsWriter(string instrumentationKey, WriterOptions options)
{
TelemetryConfiguration.Active.InstrumentationKey = instrumentationKey;
TelemetryProcessorChainBuilder builder = TelemetryConfiguration.Active.TelemetryProcessorChainBuilder;
builder.Use(next => new LogMagicTelemetryProcessor(next));
builder.Build();
_telemetryClient = new TelemetryClient(TelemetryConfiguration.Active);
_telemetryClient.InstrumentationKey = instrumentationKey;
_context = new InsightsContext(_telemetryClient, options);
_options = options;
}
public void AdaptiveSamplingSetsExcludedTypesOnInternalSamplingProcessor()
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseAdaptiveSampling(5, "request;");
channelBuilder.Build();
var fieldInfo = typeof(AdaptiveSamplingTelemetryProcessor).GetField("samplingProcessor", BindingFlags.GetField | BindingFlags.Instance | BindingFlags.NonPublic);
SamplingTelemetryProcessor internalProcessor = (SamplingTelemetryProcessor)fieldInfo.GetValue(tc.TelemetryProcessorChain.FirstTelemetryProcessor);
Assert.AreEqual("request;", internalProcessor.ExcludedTypes);
}
private static TelemetryProcessorChain CreateTelemetryProcessorChainWithSampling(IList <ITelemetry> sentTelemetry, double samplingPercentage, string excludedTypes = null, string includedTypes = null)
{
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseSampling(samplingPercentage, excludedTypes, includedTypes);
channelBuilder.Use(next => new StubTelemetryProcessor(next)
{
OnProcess = t => sentTelemetry.Add(t)
});
channelBuilder.Build();
return(tc.TelemetryProcessorChain);
}
private static TelemetryProcessorChain CreateTelemetryProcessorChainWithSampling(IList <ITelemetry> sentTelemetry, double samplingPercentage)
{
var tc = new TelemetryConfiguration()
{
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseSampling(samplingPercentage);
channelBuilder.Use((next) => new StubTelemetryProcessor(next)
{
OnProcess = (t) => sentTelemetry.Add(t)
});
channelBuilder.Build();
return(tc.TelemetryProcessors);
}
internal static TelemetryConfiguration CreateTelemetryConfigWithExtractor(IList <ITelemetry> telemetrySentToChannel,
Func <ITelemetryProcessor, AutocollectedMetricsExtractor> extractorFactory)
{
ITelemetryChannel channel = new StubTelemetryChannel
{
OnSend = (t) => telemetrySentToChannel.Add(t)
};
string iKey = Guid.NewGuid().ToString("D");
TelemetryConfiguration telemetryConfig = new TelemetryConfiguration(iKey, channel);
var channelBuilder = new TelemetryProcessorChainBuilder(telemetryConfig);
channelBuilder.Use(extractorFactory);
channelBuilder.Build();
return(telemetryConfig);
}
public void UseAdaptiveSamplingAddsAdaptiveSamplingProcessorToTheChainWithCorrectSettings()
{
SamplingPercentageEstimatorSettings settings = new SamplingPercentageEstimatorSettings
{
MaxSamplingPercentage = 13
};
AdaptiveSamplingPercentageEvaluatedCallback callback = (second, percentage, samplingPercentage, changed, estimatorSettings) => { };
var tc = new TelemetryConfiguration {
TelemetryChannel = new StubTelemetryChannel()
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.UseAdaptiveSampling(settings, callback);
channelBuilder.Build();
Assert.AreEqual(13, ((AdaptiveSamplingTelemetryProcessor)tc.TelemetryProcessorChain.FirstTelemetryProcessor).MaxSamplingPercentage);
}
public void ProactivelySampledInItemsPassIfCurrentRateIsLowerThanExpected()
{
var sentTelemetry = new List <ITelemetry>();
var tc = new TelemetryConfiguration
{
TelemetryChannel = new StubTelemetryChannel(),
InstrumentationKey = Guid.NewGuid().ToString("D")
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.Use(next => new SamplingTelemetryProcessor(next)
{
SamplingPercentage = 50,
ProactiveSamplingPercentage = 100
});
channelBuilder.Use(next => new StubTelemetryProcessor(next)
{
OnProcess = t => sentTelemetry.Add(t)
});
channelBuilder.Build();
int sampledInCount = 0;
for (int i = 0; i < 1000; i++)
{
var item = new RequestTelemetry();
item.Context.Operation.Id = ActivityTraceId.CreateRandom().ToHexString();
// sample in random items - they all should pass through regardless of the score
if (i % 2 == 0)
{
item.ProactiveSamplingDecision = SamplingDecision.SampledIn;
sampledInCount++;
}
tc.TelemetryProcessorChain.Process(item);
}
// all proactively sampled in items passed through regardless of their score.
Assert.AreEqual(sampledInCount, sentTelemetry.Count(i => ((ISupportAdvancedSampling)i).ProactiveSamplingDecision == SamplingDecision.SampledIn));
}
public void ProactivelySampledInItemsPassAccordingToScoreIfCurrentRateIsHigherThanExpected()
{
var sentTelemetry = new List <ITelemetry>();
var tc = new TelemetryConfiguration
{
TelemetryChannel = new StubTelemetryChannel(),
InstrumentationKey = Guid.NewGuid().ToString("D")
};
var channelBuilder = new TelemetryProcessorChainBuilder(tc);
channelBuilder.Use(next => new SamplingTelemetryProcessor(next)
{
SamplingPercentage = 50,
ProactiveSamplingPercentage = 50
});
channelBuilder.Use(next => new StubTelemetryProcessor(next)
{
OnProcess = t => sentTelemetry.Add(t)
});
channelBuilder.Build();
int count = 5000;
for (int i = 0; i < count; i++)
{
var item = new RequestTelemetry();
item.Context.Operation.Id = ActivityTraceId.CreateRandom().ToHexString();
// generate a lot sampled-in items, only 1/CurrentProactiveSampledInRatioToTarget of them should pass through
// and SamplingPercentage of sampled-out items
if (SamplingScoreGenerator.GetSamplingScore(item.Context.Operation.Id) < 80)
{
item.ProactiveSamplingDecision = SamplingDecision.SampledIn;
}
tc.TelemetryProcessorChain.Process(item);
}
Assert.AreEqual(0, sentTelemetry.Count(i => ((ISupportAdvancedSampling)i).ProactiveSamplingDecision == SamplingDecision.None));
Assert.AreEqual(count / 2, sentTelemetry.Count(i => ((ISupportAdvancedSampling)i).ProactiveSamplingDecision == SamplingDecision.SampledIn), count / 2 / 10);
}
private TelemetryConfiguration GetAppInsightsTestTelemetryConfiguration()
{
var config = new TelemetryConfiguration();
config.InstrumentationKey = "58ce4b98-2e30-4ac1-982b-e47c85b8d31d"; // Fake, but needs to be there in order for TelemetryClient to call the processor chain.
var channel = new TestTelemetryChannel();
config.DefaultTelemetrySink.TelemetryChannel = channel;
var chainbuilder = new TelemetryProcessorChainBuilder(config, config.DefaultTelemetrySink);
chainbuilder.Use((next) =>
{
var p1 = new EventFlowTelemetryProcessor(next);
return(p1);
});
config.DefaultTelemetrySink.TelemetryProcessorChainBuilder = chainbuilder;
chainbuilder.Build();
return(config);
}
public void SamplingPercentageAdjustsAccordingToConstantHighProductionRate()
{
var sentTelemetry = new List <ITelemetry>();
int itemsProduced = 0;
using (var tc = new TelemetryConfiguration()
{
TelemetryChannel = new StubTelemetryChannel()
})
{
var chainBuilder = new TelemetryProcessorChainBuilder(tc);
// set up adaptive sampling that evaluates and changes sampling % frequently
chainBuilder
.UseAdaptiveSampling(
new Channel.Implementation.SamplingPercentageEstimatorSettings()
{
EvaluationInterval = TimeSpan.FromSeconds(1),
SamplingPercentageDecreaseTimeout = TimeSpan.FromSeconds(2),
SamplingPercentageIncreaseTimeout = TimeSpan.FromSeconds(2),
},
this.TraceSamplingPercentageEvaluation)
.Use((next) => new StubTelemetryProcessor(next)
{
OnProcess = (t) => sentTelemetry.Add(t)
});
chainBuilder.Build();
const int productionFrequencyMs = 100;
var productionTimer = new Timer(
(state) =>
{
for (int i = 0; i < 2; i++)
{
tc.TelemetryProcessorChain.Process(new RequestTelemetry());
itemsProduced++;
}
},
null,
0,
productionFrequencyMs);
Thread.Sleep(25000);
// dispose timer and wait for callbacks to complete
DisposeTimer(productionTimer);
}
// number of items produced should be close to target of 5/second
int targetItemCount = 25 * 5;
// tolrance +-
int tolerance = targetItemCount / 2;
Trace.WriteLine(string.Format("'Ideal' telemetry item count: {0}", targetItemCount));
Trace.WriteLine(string.Format(
"Expected range: from {0} to {1}",
targetItemCount - tolerance,
targetItemCount + tolerance));
Trace.WriteLine(string.Format(
"Actual telemetry item count: {0} ({1:##.##}% of ideal)",
sentTelemetry.Count,
100.0 * sentTelemetry.Count / targetItemCount));
Assert.IsTrue(sentTelemetry.Count > targetItemCount - tolerance);
Assert.IsTrue(sentTelemetry.Count < targetItemCount + tolerance);
}
public (int proactivelySampledInAndSentCount, double sentCount) ProactiveSamplingTest(
int proactivelySampledInRatePerSec,
int beforeSamplingRatePerSec,
double targetAfterSamplingRatePerSec,
double precision,
int testDurationInSec)
{
// we'll ignore telemetry reported during first few percentage evaluations
int warmUpInSec = 12;
// we'll produce proactively sampled in items and also 'normal' items with the same rate
// but allow only proactively sampled in + a bit more
// number of items produced should be close to target
int targetItemCount = (int)(testDurationInSec * targetAfterSamplingRatePerSec);
var sentTelemetry = new List <ITelemetry>();
using (var tc = new TelemetryConfiguration()
{
TelemetryChannel = new StubTelemetryChannel()
})
{
var chainBuilder = new TelemetryProcessorChainBuilder(tc);
// set up adaptive sampling that evaluates and changes sampling % frequently
chainBuilder
.UseAdaptiveSampling(
new Channel.Implementation.SamplingPercentageEstimatorSettings()
{
// help algo get to stabilize earlier
InitialSamplingPercentage = targetAfterSamplingRatePerSec / (double)beforeSamplingRatePerSec * 100,
MaxTelemetryItemsPerSecond = targetAfterSamplingRatePerSec,
EvaluationInterval = TimeSpan.FromSeconds(2),
SamplingPercentageDecreaseTimeout = TimeSpan.FromSeconds(4),
SamplingPercentageIncreaseTimeout = TimeSpan.FromSeconds(4),
},
this.TraceSamplingPercentageEvaluation)
.Use((next) => new StubTelemetryProcessor(next)
{
OnProcess = (t) => sentTelemetry.Add(t)
});
chainBuilder.Build();
var sw = Stopwatch.StartNew();
var productionTimer = new Timer(
(state) =>
{
var requests = new RequestTelemetry[beforeSamplingRatePerSec];
for (int i = 0; i < beforeSamplingRatePerSec; i++)
{
requests[i] = new RequestTelemetry()
{
ProactiveSamplingDecision = i < proactivelySampledInRatePerSec ? SamplingDecision.SampledIn : SamplingDecision.None
};
requests[i].Context.Operation.Id = ActivityTraceId.CreateRandom().ToHexString();
}
foreach (var request in requests)
{
if (((Stopwatch)state).Elapsed.TotalSeconds < warmUpInSec)
{
// let's ignore telemetry from first few rate evaluations - it does not make sense
request.Properties["ignore"] = "true";
}
tc.TelemetryProcessorChain.Process(request);
}
},
sw,
0,
1000);
Thread.Sleep(TimeSpan.FromSeconds(testDurationInSec + warmUpInSec));
// dispose timer and wait for callbacks to complete
DisposeTimer(productionTimer);
}
var notIgnoredSent = sentTelemetry.Where(i => i is ISupportProperties propItem && !propItem.Properties.ContainsKey("ignore")).ToArray();
var proactivelySampledInAndSentCount = notIgnoredSent.Count(i =>
i is ISupportAdvancedSampling advSamplingItem &&
advSamplingItem.ProactiveSamplingDecision == SamplingDecision.SampledIn);
// check that normal sampling requirements still apply (we generated as much items as expected)
Trace.WriteLine($"'Ideal' telemetry item count: {targetItemCount}");
Trace.WriteLine($"Expected range: from {targetItemCount - precision * targetItemCount} to {targetItemCount + precision * targetItemCount}");
Trace.WriteLine(
$"Actual telemetry item count: {notIgnoredSent.Length} ({100.0 * notIgnoredSent.Length / targetItemCount:##.##}% of ideal)");
Trace.WriteLine(
$"Actual proactive sampled in and sent: {proactivelySampledInAndSentCount}");
Assert.IsTrue(notIgnoredSent.Length / (double)targetItemCount > 1 - precision);
Assert.IsTrue(notIgnoredSent.Length / (double)targetItemCount < 1 + precision);
return(proactivelySampledInAndSentCount, notIgnoredSent.Length);
}
public void SamplingPercentageAdjustsForSpikyProductionRate()
{
var sentTelemetry = new List <ITelemetry>();
int itemsProduced = 0;
using (var tc = new TelemetryConfiguration()
{
TelemetryChannel = new StubTelemetryChannel()
})
{
var chainBuilder = new TelemetryProcessorChainBuilder(tc);
// set up adaptive sampling that evaluates and changes sampling % frequently
chainBuilder
.UseAdaptiveSampling(
new SamplingPercentageEstimatorSettings()
{
InitialSamplingPercentage = 5.0,
EvaluationInterval = TimeSpan.FromSeconds(1),
SamplingPercentageDecreaseTimeout = TimeSpan.FromSeconds(2),
SamplingPercentageIncreaseTimeout = TimeSpan.FromSeconds(10),
},
this.TraceSamplingPercentageEvaluation)
.Use((next) => new StubTelemetryProcessor(next)
{
OnProcess = (t) => sentTelemetry.Add(t)
});
chainBuilder.Build();
const int regularProductionFrequencyMs = 100;
const int spikeProductionFrequencyMs = 3000;
using (var regularProductionTimer = new Timer(
(state) =>
{
for (int i = 0; i < 2; i++)
{
tc.TelemetryProcessorChain.Process(new RequestTelemetry());
Interlocked.Increment(ref itemsProduced);
}
},
null,
0,
regularProductionFrequencyMs))
using (var spikeProductionTimer = new Timer(
(state) =>
{
for (int i = 0; i < 200; i++)
{
tc.TelemetryProcessorChain.Process(new RequestTelemetry());
Interlocked.Increment(ref itemsProduced);
}
},
null,
0,
spikeProductionFrequencyMs))
{
Thread.Sleep(30000);
}
}
// number of items produced should be close to target of 5/second
int targetItemCount = 30 * 5;
int tolerance = targetItemCount / 2;
Trace.WriteLine(string.Format("'Ideal' telemetry item count: {0}", targetItemCount));
Trace.WriteLine(string.Format(
"Expected range: from {0} to {1}",
targetItemCount - tolerance,
targetItemCount + tolerance));
Trace.WriteLine(string.Format(
"Actual telemetry item count: {0} ({1:##.##}% of ideal)",
sentTelemetry.Count,
100.0 * sentTelemetry.Count / targetItemCount));
Assert.IsTrue(sentTelemetry.Count > targetItemCount - tolerance);
Assert.IsTrue(sentTelemetry.Count < targetItemCount + tolerance);
}
