### Description

Our most common aggregations should be optimized for single-valued fields. In general, our aggregations look like this:

```java
    @Override
    public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, LeafBucketCollector sub) throws IOException {
        if (valuesSource == null) {
            return LeafBucketCollector.NO_OP_COLLECTOR;
        }
        SortedNumericDocValues values = valuesSource.longValues(ctx);
        return new LeafBucketCollectorBase(sub, values) {
            @Override
            public void collect(int doc, long owningBucketOrd) throws IOException {
                if (values.advanceExact(doc)) {
                    int valuesCount = values.docValueCount();
                    for (int i = 0; i < valuesCount; ++i) {
                        long value = values.nextValue();
                        // do something with value
                    }
                }
            }
        };
    }
```

The idea consists of optimizing for single-valued fields by unwrapping the single-valued doc-value iterator:

```java
    @Override
    public LeafBucketCollector getLeafCollector(LeafReaderContext ctx, LeafBucketCollector sub) throws IOException {
        if (valuesSource == null) {
            return LeafBucketCollector.NO_OP_COLLECTOR;
        }
        SortedNumericDocValues values = valuesSource.longValues(ctx);
        NumericDocValues singleValues = DocValues.unwrapSingleton(values); // or FieldData.unwrapSingleton for doubles
        if (singleValues != null) {
            return new LeafBucketCollectorBase(sub, values) {
                @Override
                public void collect(int doc, long owningBucketOrd) throws IOException {
                    if (singleValues.advanceExact(doc)) {
                        long value = singleValues.longValue();
                        // do something with value
                    }
                }
            };
        } else {
            return new LeafBucketCollectorBase(sub, values) {
                @Override
                public void collect(int doc, long owningBucketOrd) throws IOException {
                    if (values.advanceExact(doc)) {
                        int valuesCount = values.docValueCount();
                        for (int i = 0; i < valuesCount; ++i) {
                            long value = values.nextValue();
                            // do something with value
                        }
                    }
                }
            };
        }
    }
```

The `terms` aggregation already does this, and e.g. `min` and `max` aggregations use similar tricks that also help optimize the single-valued case. But `date_histogram`, which is one of our most common aggregations, doesn't. Let's specialize the single-value case for date histograms too?
server/src/main/java/org/elasticsearch/search/aggregations/bucket/range/RangeAggregator.java
}
            /*
             * Use the native format on the field rather than the one provided
             * on the valuesSourceConfig because the format on the field is what
             * we parse. With https://github.com/elastic/elasticsearch/pull/63692
             * we can just cast to a long here and it'll be taken as millis.
             */
            DocValueFormat format = valuesSourceConfig.fieldType().docValueFormat(null, null);
            
            RangeQueryBuilder builder = new RangeQueryBuilder(valuesSourceConfig.fieldType().name());
            builder.from(ranges[i].from == Double.NEGATIVE_INFINITY ? null : format.format(ranges[i].from)).includeLower(true);
            builder.to(ranges[i].to == Double.POSITIVE_INFINITY ? null : format.format(ranges[i].to)).includeUpper(false);
            filterByFilterBuilder.add(Integer.toString(i), context.buildQuery(builder));
        }
        return filterByFilterBuilder.build();
    }
    public static Aggregator buildWithoutAttemptedToAdaptToFilters(
        String name,
        AggregatorFactories factories,
        ValuesSource.Numeric valuesSource,
        DocValueFormat format,
        InternalRange.Factory<?, ?> rangeFactory,
        Range[] ranges,
        double averageDocsPerRange,
        boolean keyed,
        AggregationContext context,
        Aggregator parent,
        CardinalityUpperBound cardinality,
        Map<String, Object> metadata
    ) throws IOException {