public void CounterSetItemsDisabledTest()
{
var context = new DefaultMetricsContext();
var config = new PrometheusReportConfig
{
OutputSetItems = false
};
var counter = context.Counter("Counter", Unit.None, MetricTags.None);
counter.Increment(1);
var counterSubItems = context.Counter("CounterSubItems", Unit.None, MetricTags.None);
counterSubItems.Increment("Item1", 2);
counterSubItems.Increment("Item2", 3);
string renderedMetrics = RenderTestMetrics(context, config);
string expectedMetrics = FormatPrometheusText(@"# TYPE Counter gauge
counter 1 0
# TYPE CounterSubItems gauge
countersubitems 5 0
");
Assert.AreEqual(expectedMetrics, renderedMetrics);
}
public void InfluxReport_CanAddRecords_ForCounter()
{
var config = new InfluxConfig("localhost", "testdb");
var writer = new InfluxdbTestWriter(config); config.Writer = writer;
var report = new InfluxdbHttpReport(config);
var context = new DefaultMetricsContext("TestContext");
var precision = config.Precision ?? InfluxConfig.Default.Precision;
var metricsData = context.DataProvider.CurrentMetricsData;
var counter = context.Counter("test_counter", Unit.Bytes, new MetricTags("key1=value1,tag2,tag3,key4=value4"));
// add normally
counter.Increment(300);
metricsData = context.DataProvider.CurrentMetricsData;
report.RunReport(metricsData, hsFunc, CancellationToken.None);
writer.LastBatch.Should().HaveCount(1);
var expTime = InfluxLineProtocol.FormatTimestamp(metricsData.Timestamp, precision);
writer.LastBatch[0].ToLineProtocol(precision).Should().Be($@"testcontext.test_counter,key1=value1,key4=value4 count=300i {expTime}");
// add with set item
counter.Increment("item1,item2=ival2,item3=ival3", 100);
metricsData = context.DataProvider.CurrentMetricsData;
report.RunReport(metricsData, hsFunc, CancellationToken.None);
writer.LastBatch.Should().HaveCount(2);
expTime = InfluxLineProtocol.FormatTimestamp(metricsData.Timestamp, precision);
writer.LastBatch[0].ToLineProtocol(precision).Should().Be($@"testcontext.test_counter,key1=value1,key4=value4 count=400i {expTime}");
writer.LastBatch[1].ToLineProtocol(precision).Should().Be($@"testcontext.test_counter,item2=ival2,item3=ival3,key1=value1,key4=value4 count=100i,percent=25 {expTime}");
}
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 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);
}