private static InstanceCountEntity[] GetData()
{
var rows = new InstanceCountEntity[] {
new InstanceCountEntity(t1, "c1")
{
DurationMilliseconds = durationMs, CurrentActive = 6, MachineSize = 20
},
new InstanceCountEntity(t2, "c1")
{
DurationMilliseconds = durationMs, CurrentActive = 6, MachineSize = 20
},
};
return(rows);
}
public async Task <FunctionVolumeTimelineEntry[]> GetVolumeAsync(DateTime startTime, DateTime endTime, int numberBuckets)
{
var query = InstanceCountEntity.GetQuery(startTime, endTime);
var iter = await EpochTableIterator.NewAsync(_tableLookup);
var results = await iter.SafeExecuteQuerySegmentedAsync <InstanceCountEntity>(query, startTime, endTime);
InstanceCountEntity[] rows = results.Results;
var startTicks = startTime.Ticks;
var endTicks = endTime.Ticks;
var data = ProjectionHelper.Work(rows, startTicks, endTicks, numberBuckets);
int[] totalCounts = new int[numberBuckets];
double bucketWidthTicks = ((double)(endTicks - startTicks)) / numberBuckets;
foreach (var row in rows)
{
int idx = (int)((row.GetTicks() - startTicks) / bucketWidthTicks);
if (idx >= 0 && idx < numberBuckets)
{
totalCounts[idx] += row.TotalThisPeriod;
}
}
// coerce data
var chart = new FunctionVolumeTimelineEntry[numberBuckets];
for (int i = 0; i < numberBuckets; i++)
{
var ticks = data[i].Item1;
var time = new DateTime(ticks);
double value = data[i].Item2;
chart[i] = new FunctionVolumeTimelineEntry
{
Time = time,
Volume = value,
InstanceCounts = totalCounts[i]
};
}
return(chart);
}
public Task <FunctionVolumeTimelineEntry[]> GetVolumeAsync(DateTime startTime, DateTime endTime, int numberBuckets)
{
var query = InstanceCountEntity.GetQuery(startTime, endTime);
IEnumerable <InstanceCountEntity> results = _instanceTable.ExecuteQuery(query);
var rows = results.ToArray();
var startTicks = startTime.Ticks;
var endTicks = endTime.Ticks;
var data = ProjectionHelper.Work(rows, startTicks, endTicks, numberBuckets);
int[] totalCounts = new int[numberBuckets];
double bucketWidthTicks = ((double)(endTicks - startTicks)) / numberBuckets;
foreach (var row in rows)
{
int idx = (int)((row.GetTicks() - startTicks) / bucketWidthTicks);
if (idx >= 0 && idx < numberBuckets)
{
totalCounts[idx] += row.TotalThisPeriod;
}
}
// coerce data
var chart = new FunctionVolumeTimelineEntry[numberBuckets];
for (int i = 0; i < numberBuckets; i++)
{
var ticks = data[i].Item1;
var time = new DateTime(ticks);
double value = data[i].Item2;
chart[i] = new FunctionVolumeTimelineEntry
{
Time = time,
Volume = value,
InstanceCounts = totalCounts[i]
};
}
return(Task.FromResult(chart));
}
private static Tuple<long, double>[] Work(InstanceCountEntity[] rows, long startTicks, long endTicks, int numberBuckets)
{
return ProjectionHelper.Work(rows, startTicks, endTicks, numberBuckets);
}
private static InstanceCountEntity[] GetData()
{
var rows = new InstanceCountEntity[] {
new InstanceCountEntity(t1, "c1") { DurationMilliseconds = durationMs, CurrentActive = 6, MachineSize = 20 },
new InstanceCountEntity(t2, "c1") { DurationMilliseconds = durationMs, CurrentActive = 6, MachineSize = 20 },
};
return rows;
}
