public void MeasureAggregatorAggregatesCorrectlyWhenMultipleThreadsUpdatesLong()
{
// create an aggregator
MeasureMinMaxSumCountAggregator <long> aggregator = new MeasureMinMaxSumCountAggregator <long>();
var summary = aggregator.ToMetricData() as SummaryData <long>;
// we start with 0.
Assert.Equal(0, summary.Sum);
Assert.Equal(0, summary.Count);
// setup args to threads.
var mre = new ManualResetEvent(false);
var mreToEnsureAllThreadsStart = new ManualResetEvent(false);
var argToThread = new UpdateThreadArguments <long>();
argToThread.minMaxSumCountAggregator = aggregator;
argToThread.threadsStartedCount = 0;
argToThread.mreToBlockUpdateThread = mre;
argToThread.mreToEnsureAllThreadsStart = mreToEnsureAllThreadsStart;
Thread[] t = new Thread[10];
for (int i = 0; i < 10; i++)
{
t[i] = new Thread(LongMetricUpdateThread);
t[i].Start(argToThread);
}
// Block until all 10 threads started.
mreToEnsureAllThreadsStart.WaitOne();
// kick-off all the threads.
mre.Set();
for (int i = 0; i < 10; i++)
{
// wait for all threads to complete
t[i].Join();
}
// check point.
aggregator.Checkpoint();
summary = aggregator.ToMetricData() as SummaryData <long>;
// 1000000 times (10+50+100) by each thread. times 10 as there are 10 threads
Assert.Equal(1600000000, summary.Sum);
// 1000000 times 3 by each thread, times 10 as there are 10 threads.
Assert.Equal(30000000, summary.Count);
// Min and Max are 10 and 100
Assert.Equal(10, summary.Min);
Assert.Equal(100, summary.Max);
}
public void MeasureAggregatorSupportsDouble()
{
MeasureMinMaxSumCountAggregator <double> aggregator = new MeasureMinMaxSumCountAggregator <double>();
}
public void MeasureAggregatorSupportsLong()
{
MeasureMinMaxSumCountAggregator <long> aggregator = new MeasureMinMaxSumCountAggregator <long>();
}