public async Task <IHttpActionResult> GetVolume(
DateTime startTime,
DateTime endTime,
int numberBuckets)
{
var data = await _reader.GetVolumeAsync(startTime, endTime, numberBuckets);
// Return as parallel arrays since that's more efficient than an array of structs.
var result = new
{
Times = Array.ConvertAll(data, x => x.Time),
Counts = Array.ConvertAll(data, x => x.Volume),
InstanceCounts = Array.ConvertAll(data, x => x.InstanceCounts)
};
return(Ok(result));
}
public async Task FunctionInstance()
{
var table = GetNewLoggingTable();
try
{
ILogReader reader = LogFactory.NewReader(table);
TimeSpan poll = TimeSpan.FromMilliseconds(50);
TimeSpan poll5 = TimeSpan.FromMilliseconds(poll.TotalMilliseconds * 5);
var logger1 = new CloudTableInstanceCountLogger("c1", table, 100)
{
PollingInterval = poll
};
Guid g1 = Guid.NewGuid();
DateTime startTime = DateTime.UtcNow;
logger1.Increment(g1);
await Task.Delay(poll5); // should get at least 1 poll entry in
logger1.Decrement(g1);
await Task.WhenAll(logger1.StopAsync());
DateTime endTime = DateTime.UtcNow;
// Now read.
// We may get an arbitrary number of raw poll entries since the
// low poll latency combined with network delay can be unpredictable.
var values = await reader.GetVolumeAsync(startTime, endTime, 1);
double totalVolume = (from value in values select value.Volume).Sum();
Assert.True(totalVolume > 0);
double totalInstance = (from value in values select value.InstanceCounts).Sum();
Assert.Equal(1, totalInstance);
}
finally
{
table.DeleteIfExists();
}
}