promql: simplify inner loop of rangeEval

Took out the loops with break after one iteration, and extract some
common code to a function.

Signed-off-by: Bryan Boreham <bjboreham@gmail.com>

promql/engine.go

@@ -1187,42 +1187,27 @@ func (ev *evaluator) rangeEval(prepSeries func(labels.Labels, *EvalSeriesHelper)
 				bufHelpers[i] = bufHelpers[i][:0]
 			}
 
-			for si, series := range matrixes[i] {
-				for _, point := range series.Floats {
-					if point.T == ts {
-						if ev.currentSamples < ev.maxSamples {
-							vectors[i] = append(vectors[i], Sample{Metric: series.Metric, F: point.F, T: ts})
+			add := func(si int, s Sample) {
+				vectors[i] = append(vectors[i], s)
 				if prepSeries != nil {
 					bufHelpers[i] = append(bufHelpers[i], seriesHelpers[i][si])
 				}
-
-							// Move input vectors forward so we don't have to re-scan the same
-							// past points at the next step.
-							matrixes[i][si].Floats = series.Floats[1:]
 				ev.currentSamples++
-						} else {
-							ev.error(ErrTooManySamples(env))
-						}
-					}
-					break
-				}
-				for _, point := range series.Histograms {
-					if point.T == ts {
-						if ev.currentSamples < ev.maxSamples {
-							vectors[i] = append(vectors[i], Sample{Metric: series.Metric, H: point.H, T: ts})
-							if prepSeries != nil {
-								bufHelpers[i] = append(bufHelpers[i], seriesHelpers[i][si])
 			}
 
+			for si, series := range matrixes[i] {
+				if len(series.Floats) > 0 && series.Floats[0].T == ts {
+					add(si, Sample{Metric: series.Metric, F: series.Floats[0].F, T: ts})
 					// Move input vectors forward so we don't have to re-scan the same
 					// past points at the next step.
-							matrixes[i][si].Histograms = series.Histograms[1:]
-							ev.currentSamples++
-						} else {
-							ev.error(ErrTooManySamples(env))
+					matrixes[i][si].Floats = series.Floats[1:]
 				}
+				if len(series.Histograms) > 0 && series.Histograms[0].T == ts {
+					add(si, Sample{Metric: series.Metric, H: series.Histograms[0].H, T: ts})
+					matrixes[i][si].Histograms = series.Histograms[1:]
 				}
-					break
+				if ev.currentSamples > ev.maxSamples {
+					ev.error(ErrTooManySamples(env))
 				}
 			}
 			args[i] = vectors[i]