diff --git a/exporter/prometheusexporter/accumulator.go b/exporter/prometheusexporter/accumulator.go
index 76029ef99b18..17453c21c905 100644
--- a/exporter/prometheusexporter/accumulator.go
+++ b/exporter/prometheusexporter/accumulator.go
@@ -161,19 +161,19 @@ func (a *lastValueAccumulator) accumulateGauge(metric pmetric.Metric, il pcommon
 }
 
 func (a *lastValueAccumulator) accumulateSum(metric pmetric.Metric, il pcommon.InstrumentationScope, resourceAttrs pcommon.Map, now time.Time) (n int) {
-	sum := metric.Sum()
+	doubleSum := metric.Sum()
 
 	// Drop metrics with unspecified aggregations
-	if sum.AggregationTemporality() == pmetric.AggregationTemporalityUnspecified {
+	if doubleSum.AggregationTemporality() == pmetric.AggregationTemporalityUnspecified {
 		return
 	}
 
 	// Drop non-monotonic and non-cumulative metrics
-	if sum.AggregationTemporality() == pmetric.AggregationTemporalityDelta && !sum.IsMonotonic() {
+	if doubleSum.AggregationTemporality() == pmetric.AggregationTemporalityDelta && !doubleSum.IsMonotonic() {
 		return
 	}
 
-	dps := sum.DataPoints()
+	dps := doubleSum.DataPoints()
 	for i := 0; i < dps.Len(); i++ {
 		ip := dps.At(i)
 
@@ -201,7 +201,7 @@ func (a *lastValueAccumulator) accumulateSum(metric pmetric.Metric, il pcommon.I
 		}
 
 		// Delta-to-Cumulative
-		if sum.AggregationTemporality() == pmetric.AggregationTemporalityDelta && ip.StartTimestamp() == mv.value.Sum().DataPoints().At(0).Timestamp() {
+		if doubleSum.AggregationTemporality() == pmetric.AggregationTemporalityDelta && ip.StartTimestamp() == mv.value.Sum().DataPoints().At(0).Timestamp() {
 			ip.SetStartTimestamp(mv.value.Sum().DataPoints().At(0).StartTimestamp())
 			switch ip.ValueType() {
 			case pmetric.NumberDataPointValueTypeInt:
@@ -230,7 +230,7 @@ func (a *lastValueAccumulator) accumulateHistogram(metric pmetric.Metric, il pco
 	for i := 0; i < dps.Len(); i++ {
 		ip := dps.At(i)
 
-		signature := timeseriesSignature(il.Name(), metric, ip.Attributes(), resourceAttrs) // uniquely idenity this time series you are accumulating for
+		signature := timeseriesSignature(il.Name(), metric, ip.Attributes(), resourceAttrs) // uniquely identify this time series you are accumulating for
 		if ip.Flags().NoRecordedValue() {
 			a.registeredMetrics.Delete(signature)
 			return 0
@@ -239,7 +239,6 @@ func (a *lastValueAccumulator) accumulateHistogram(metric pmetric.Metric, il pco
 		v, ok := a.registeredMetrics.Load(signature) // a accumulates metric values for all times series. Get value for particular time series
 		if !ok {
 			// first data point
-			a.logger.Debug("Accumulate first histogram data point")
 			m := copyMetricMetadata(metric)
 			ip.CopyTo(m.SetEmptyHistogram().DataPoints().AppendEmpty())
 			m.Histogram().SetAggregationTemporality(pmetric.AggregationTemporalityCumulative)
@@ -256,7 +255,7 @@ func (a *lastValueAccumulator) accumulateHistogram(metric pmetric.Metric, il pco
 		case pmetric.AggregationTemporalityDelta:
 			pp := mv.value.Histogram().DataPoints().At(0) // previous aggregated value for time range
 			if ip.StartTimestamp().AsTime() != pp.Timestamp().AsTime() {
-				// treat misalgnment as restart and reset, or violation of single-writer principle and drop
+				// treat misalignment as restart and reset, or violation of single-writer principle and drop
 				a.logger.With(
 					zap.String("ip_start_time", ip.StartTimestamp().String()),
 					zap.String("pp_start_time", pp.StartTimestamp().String()),