public void AddMetrics_TestEqualsGetsEscaped()
{
var context = new DefaultMetricsContext();
var sender = new FakeSignalFxReporter();
var report = new SignalFxReport(
sender,
"",
"FakeApiKey",
new Dictionary <string, string> {
{ "System", "UnitTests" }
}, 10000, new HashSet <MetricDetails> {
MetricDetails.count
});
var tags = new MetricTags("test\\=string=test\\value");
var timer = context.Timer("TestTimer", Unit.Calls, SamplingType.ExponentiallyDecaying, TimeUnit.Microseconds, TimeUnit.Microseconds, tags);
timer.Record(10053, TimeUnit.Microseconds);
var source = new CancellationTokenSource();
report.RunReport(context.DataProvider.CurrentMetricsData, () => new HealthStatus(), source.Token);
Assert.Equal(1, sender.Count);
var message = sender[0];
var dp = message.datapoints.FirstOrDefault(datapoint => datapoint.dimensions.Any(dimension => dimension.key == "test=string"));
Assert.NotNull(dp);
var dm = dp.dimensions.FirstOrDefault(dimension => dimension.key == "test=string");
Assert.Equal("testvalue", dm.value);
}
public void Send_EnsureWebExceptionTriggersErrorHandler()
{
var context = new DefaultMetricsContext();
var requestor = new GenericFakeRequestorFactory <FakeWebExceptionRequestor>();
var sender = new SignalFxReporter("http://fake.signalfuse.com", "ABC123", requestor);
var report = new SignalFxReport(
sender,
"",
"FakeApiKey",
new Dictionary <string, string> {
{ "System", "UnitTests" }
}, 10000, new HashSet <MetricDetails> {
MetricDetails.count
});
int errorCount = 0;
new MetricsConfig(context).WithErrorHandler((exc, msg) => errorCount++, true);
var tags = new MetricTags("test\\=string=test\\value");
var timer = context.Timer("TestTimer", Unit.Calls, SamplingType.ExponentiallyDecaying, TimeUnit.Microseconds, TimeUnit.Microseconds, tags);
timer.Record(10053, TimeUnit.Microseconds);
var source = new CancellationTokenSource();
report.RunReport(context.DataProvider.CurrentMetricsData, () => new HealthStatus(), source.Token);
Assert.True(errorCount >= 1);
}
public void AddMetrics_EnsureAllDimensionsGetSent()
{
var context = new TaggedMetricsContext();
var sender = new FakeSignalFxReporter();
var report = new SignalFxReport(
sender,
"",
"FakeApiKey",
new Dictionary <string, string> {
{ "System", "UnitTests" },
}, 10000, new HashSet <MetricDetails> {
MetricDetails.count
});
var accountNoRandom = new Random();
//
var accountId = new byte[16];
var generatedHases = new HashSet <string>();
while (generatedHases.Count < 50)
{
accountNoRandom.NextBytes(accountId);
var accountIdString = accountId.Aggregate(new StringBuilder(), (builder, b) => builder.AppendFormat("{0:x2}", b)).ToString();
if (generatedHases.Contains(accountIdString))
{
continue;
}
generatedHases.Add(accountIdString);
var tags = new MetricTags("account=" + accountIdString);
var counter = context.Counter("TestCounter", Unit.Calls, tags);
counter.Increment(accountNoRandom.Next());
}
var source = new CancellationTokenSource();
report.RunReport(context.DataProvider.CurrentMetricsData, () => new HealthStatus(), source.Token);
var dimensions = sender.SelectMany(message =>
message.datapoints.SelectMany(datapoint => datapoint.dimensions));
Assert.True(dimensions.Count() > 50);
}
public void AddMetrics_EnsureLimitIsRespected()
{
var context = new DefaultMetricsContext();
var sender = new FakeSignalFxReporter();
var report = new SignalFxReport(
sender,
"",
"FakeApiKey",
new Dictionary <string, string> {
{ "System", "UnitTests" }
}, 50, new HashSet <MetricDetails> {
MetricDetails.count
});
var accountNoRandom = new Random();
//
var accountId = new byte[16];
var generatedHases = new HashSet <string>();
while (generatedHases.Count < 51)
{
accountNoRandom.NextBytes(accountId);
var accountIdString = accountId.Aggregate(new StringBuilder(), (builder, b) => builder.AppendFormat("{0:x2}", b)).ToString();
if (generatedHases.Contains(accountIdString))
{
continue;
}
generatedHases.Add(accountIdString);
var counter = context.Counter("TestCounter", Unit.Calls, new MetricTags());
counter.Increment(accountIdString, accountNoRandom.Next());
}
var source = new CancellationTokenSource();
report.RunReport(context.DataProvider.CurrentMetricsData, () => new HealthStatus(), source.Token);
Assert.True(sender.Count >= 1);
var message = sender[0];
Assert.Equal(50, message.datapoints.Count);
}
public void Send_EnsureMetricsGetReported()
{
var context = new DefaultMetricsContext();
var requestor = new FakeRequestorFactory();
var sender = new SignalFxReporter("http://fake.signalfuse.com", "ABC123", requestor);
var report = new SignalFxReport(
sender,
"",
"FakeApiKey",
new Dictionary <string, string> {
{ "System", "UnitTests" }
}, 10000, new HashSet <MetricDetails> {
MetricDetails.mean
});
var tags = new MetricTags("test\\=string=test\\value");
var timer = context.Timer("TestTimer", Unit.Calls, SamplingType.ExponentiallyDecaying, TimeUnit.Microseconds, TimeUnit.Microseconds, tags);
timer.Record(10053, TimeUnit.Microseconds);
var source = new CancellationTokenSource();
report.RunReport(context.DataProvider.CurrentMetricsData, () => new HealthStatus(), source.Token);
var reportedBytes = requestor.WrittenData;
Assert.True(reportedBytes.Length > 0);
var message = Serializer.Deserialize <DataPointUploadMessage>(new MemoryStream(reportedBytes));
var dp = message.datapoints.FirstOrDefault(datapoint => datapoint.dimensions.Any(dimension => dimension.key == "test=string"));
Assert.NotNull(dp);
var dm = dp.dimensions.FirstOrDefault(dimension => dimension.key == "test=string");
Assert.Equal("testvalue", dm.value);
}
public void AddMetrics_AllMetricsGetReported()
{
var context = new DefaultMetricsContext();
var sender = new FakeSignalFxReporter();
var report = new SignalFxReport(
sender,
"",
"FakeApiKey",
new Dictionary <string, string> {
{ "System", "UnitTests" }
}, 10000, null);
var tags = new MetricTags("test=value");
var totalExpectedMetrics = 0;
var timer = context.Timer("TestTimer", Unit.Calls, SamplingType.ExponentiallyDecaying, TimeUnit.Microseconds, TimeUnit.Microseconds, tags);
timer.Record(10053, TimeUnit.Microseconds);
// A single Timer produces 17 metrics
// Count
// Active_Sessions
// Rate-Mean-Calls-per-us
// Rate-1-min-Calls-per-us
// Rate-5-min-Calls-per-us
// Rate-15-min-Calls-per-us
// Duration-Last-us
// Duration-Min-us
// Duration-Mean-us
// Duration-Max-us
// Duration-StdDev-us
// Duration-p75-us
// Duration-p95-us
// Duration-p95-us
// Duration-p98-us
// Duration-p99-us
// Duration-p999-us
totalExpectedMetrics += 17;
context.Gauge("TestGuage", () => 3.3, Unit.KiloBytes, tags);
// A gauge is a single metric
totalExpectedMetrics += 1;
var counter = context.Counter("TestCounter", Unit.KiloBytes, tags);
counter.Increment("SetA", 2);
counter.Increment("SetB", 5);
// We're setting two sub counters within counter
// plus there is a "Total" counter
// and for each of the two, there is a total and a percentage
totalExpectedMetrics += 5;
var histogram = context.Histogram("TestHistogram", Unit.Events, SamplingType.ExponentiallyDecaying, tags);
histogram.Update(23, "ABC");
histogram.Update(14, "DEF");
// Histogram of events produces 12 metrics:
// Count-Events
// Last-Events
// Min-Events
// Mean-Events
// Max-Events
// StdDev-Events
// p75-Events
// p95-Events
// p95-Events
// p98-Events
// p99-Events
// p999-Events
totalExpectedMetrics += 12;
var meter = context.Meter("TestMeter", Unit.MegaBytes, TimeUnit.Seconds, tags);
meter.Mark("A", 12);
meter.Mark("B", 190);
// Meters result in the following 5 metrics for MB
// Total-Mb
// Rate-Mean-Mb
// Rate-1-min-Mb
// Rate-5-min-Mb
// Rate-15-min-Mb
//
// And then for each item that is marked, there's a set of these 6
// Percent-Mb
// Count-Mb
// Rate-Mean-Mb-per-s
// Rate-1-min-Mb-per-s
// Rate-5-min-Mb-per-s
// Rate-15-min-Mb-per-s
totalExpectedMetrics += 17;
// so our total metrics now is 52
var source = new CancellationTokenSource();
report.RunReport(context.DataProvider.CurrentMetricsData, () => new HealthStatus(), source.Token);
Assert.Equal(1, sender.Count);
var message = sender[0];
Assert.Equal(totalExpectedMetrics, message.datapoints.Count);
}