Specially treat SingletonSortedNumericDocValues in FastTaxonomyFacetCounts#countAll() [LUCENE-10346]

CPU profile often tells `SingletonSortedNumericDocValues#nextDoc()` is using a high percentage of CPU when running luceneutil, but the `nextDoc()` of dense cases should be rather simple. So I suspect that it is too many layers of abstraction (and wrap) that cause the stress of JVM. Unwraping it to `NumericDocvalues` shows around 30% speed up.

```java
TaskQPS baseline StdDevQPS my_modified_version StdDev Pct diff p-value
HighTermTitleBDVSort 132.24 (20.6%) 125.67 (9.9%) -5.0% ( -29% - 32%) 0.330
LowTerm 1424.13 (3.2%) 1381.34 (4.4%) -3.0% ( -10% - 4%) 0.014
OrHighNotHigh 707.82 (3.3%) 687.49 (6.0%) -2.9% ( -11% - 6%) 0.062
TermDTSort 155.32 (10.9%) 151.02 (10.2%) -2.8% ( -21% - 20%) 0.406
OrNotHighMed 618.46 (3.7%) 602.65 (4.4%) -2.6% ( -10% - 5%) 0.047
Fuzzy1 76.22 (5.3%) 74.71 (6.6%) -2.0% ( -13% - 10%) 0.293
HighTermMonthSort 174.89 (10.4%) 171.45 (10.6%) -2.0% ( -20% - 21%) 0.554
OrHighNotMed 776.08 (4.9%) 761.70 (7.8%) -1.9% ( -13% - 11%) 0.367
HighTermDayOfYearSort 56.23 (10.7%) 55.26 (10.9%) -1.7% ( -21% - 22%) 0.615
MedTerm 1449.48 (3.7%) 1425.87 (5.1%) -1.6% ( -10% - 7%) 0.250
OrNotHighHigh 687.92 (4.9%) 677.06 (5.5%) -1.6% ( -11% - 9%) 0.339
OrHighNotLow 742.99 (4.7%) 732.23 (5.9%) -1.4% ( -11% - 9%) 0.390
OrNotHighLow 789.37 (2.7%) 778.80 (4.7%) -1.3% ( -8% - 6%) 0.270
HighPhrase 75.84 (2.2%) 75.14 (3.0%) -0.9% ( -6% - 4%) 0.269
HighSloppyPhrase 20.71 (5.9%) 20.56 (5.2%) -0.7% ( -11% - 11%) 0.678
IntNRQ 106.38 (18.4%) 105.67 (18.2%) -0.7% ( -31% - 44%) 0.908
OrHighMed 45.10 (1.5%) 44.83 (1.8%) -0.6% ( -3% - 2%) 0.261
MedSpanNear 192.49 (2.5%) 191.51 (3.5%) -0.5% ( -6% - 5%) 0.593
OrHighLow 489.82 (5.5%) 487.79 (5.7%) -0.4% ( -11% - 11%) 0.815
MedSloppyPhrase 27.33 (2.9%) 27.22 (2.3%) -0.4% ( -5% - 5%) 0.623
MedPhrase 208.94 (2.9%) 208.09 (3.7%) -0.4% ( -6% - 6%) 0.696
Respell 71.84 (2.4%) 71.55 (2.4%) -0.4% ( -5% - 4%) 0.600
OrHighHigh 36.26 (1.3%) 36.13 (1.1%) -0.4% ( -2% - 2%) 0.344
BrowseMonthSSDVFacets 15.95 (2.7%) 15.90 (2.5%) -0.4% ( -5% - 5%) 0.672
AndHighMed 85.83 (2.2%) 85.53 (2.7%) -0.3% ( -5% - 4%) 0.658
Prefix3 123.15 (2.6%) 122.74 (2.5%) -0.3% ( -5% - 4%) 0.678
Fuzzy2 76.41 (4.7%) 76.23 (4.2%) -0.2% ( -8% - 9%) 0.867
BrowseDayOfYearSSDVFacets 14.52 (2.4%) 14.49 (2.2%) -0.2% ( -4% - 4%) 0.747
MedIntervalsOrdered 56.39 (4.2%) 56.27 (4.1%) -0.2% ( -8% - 8%) 0.871
HighIntervalsOrdered 9.29 (4.7%) 9.27 (4.4%) -0.2% ( -8% - 9%) 0.896
AndHighMedDayTaxoFacets 119.76 (2.5%) 119.53 (2.9%) -0.2% ( -5% - 5%) 0.831
HighSpanNear 20.89 (2.0%) 20.85 (2.3%) -0.2% ( -4% - 4%) 0.803
LowIntervalsOrdered 45.51 (4.9%) 45.47 (4.8%) -0.1% ( -9% - 10%) 0.952
LowPhrase 64.17 (2.6%) 64.14 (2.6%) -0.1% ( -5% - 5%) 0.951
LowSpanNear 104.45 (2.2%) 104.41 (1.9%) -0.0% ( -4% - 4%) 0.959
Wildcard 103.83 (2.8%) 103.80 (2.8%) -0.0% ( -5% - 5%) 0.970
AndHighHigh 42.33 (2.6%) 42.33 (2.4%) -0.0% ( -4% - 5%) 0.991
BrowseRandomLabelSSDVFacets 10.62 (2.5%) 10.62 (1.8%) 0.0% ( -4% - 4%) 0.981
AndHighHighDayTaxoFacets 29.75 (2.3%) 29.76 (2.7%) 0.1% ( -4% - 5%) 0.949
MedTermDayTaxoFacets 26.56 (3.0%) 26.58 (2.5%) 0.1% ( -5% - 5%) 0.945
AndHighLow 1012.26 (4.5%) 1013.62 (4.3%) 0.1% ( -8% - 9%) 0.923
LowSloppyPhrase 78.82 (6.8%) 79.03 (6.0%) 0.3% ( -11% - 14%) 0.897
PKLookup 204.09 (3.0%) 204.82 (2.9%) 0.4% ( -5% - 6%) 0.703
OrHighMedDayTaxoFacets 14.53 (3.4%) 14.59 (2.7%) 0.4% ( -5% - 6%) 0.694
HighTerm 1607.26 (5.2%) 1623.99 (5.6%) 1.0% ( -9% - 12%) 0.543
BrowseRandomLabelTaxoFacets 11.93 (6.9%) 15.52 (2.5%) 30.1% ( 19% - 42%) 0.000
BrowseDateTaxoFacets 13.46 (9.0%) 18.28 (3.6%) 35.8% ( 21% - 53%) 0.000
BrowseDayOfYearTaxoFacets 13.59 (9.1%) 18.53 (3.6%) 36.3% ( 21% - 53%) 0.000
BrowseMonthTaxoFacets 13.93 (10.9%) 19.70 (14.9%) 41.4% ( 14% - 75%) 0.000
```

**Baseline**

```java
PERCENT CPU SAMPLES STACK
3.85% 12316 org.apache.lucene.facet.sortedset.SortedSetDocValuesFacetCounts#countOneSegment()
3.78% 12076 org.apache.lucene.util.packed.DirectReader$DirectPackedReader20#get()
3.72% 11905 org.apache.lucene.index.SingletonSortedNumericDocValues#nextDoc()
2.88% 9199 org.apache.lucene.queries.intervals.OrderedIntervalsSource$OrderedIntervalIterator#nextInterval()
2.31% 7380 org.apache.lucene.facet.taxonomy.FastTaxonomyFacetCounts#countAll()
2.27% 7270 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$20#ordValue()
2.25% 7211 org.apache.lucene.facet.taxonomy.IntTaxonomyFacets#increment()
2.23% 7139 org.apache.lucene.index.SingletonSortedNumericDocValues#nextValue()
1.88% 6006 java.nio.Buffer#checkIndex()
1.86% 5965 jdk.internal.misc.Unsafe#convEndian()
1.85% 5916 org.apache.lucene.util.packed.DirectReader$DirectPackedReader4#get()
1.72% 5491 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$EverythingEnum#nextPosition()
1.49% 4780 java.nio.DirectByteBuffer#ix()
1.42% 4548 java.nio.Buffer#scope()
1.40% 4465 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$4#longValue()
1.39% 4434 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$EverythingEnum#advance()
1.33% 4254 org.apache.lucene.store.ByteBufferGuard#ensureValid()
1.32% 4219 org.apache.lucene.util.packed.DirectReader$DirectPackedReader12#get()
1.28% 4109 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$20#nextDoc()
1.28% 4089 jdk.internal.misc.ScopedMemoryAccess#getByteInternal()
1.16% 3709 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$BlockImpactsPostingsEnum#advance()
1.10% 3517 org.apache.lucene.store.ByteBufferGuard#getInt()
1.07% 3427 org.apache.lucene.codecs.lucene90.Lucene90NormsProducer$3#longValue()
0.98% 3149 org.apache.lucene.search.ConjunctionDISI#doNext()
0.98% 3120 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader#findFirstGreater()
0.93% 2969 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$3#longValue()
0.92% 2927 org.apache.lucene.store.ByteBufferGuard#getByte()
0.88% 2828 com.carrotsearch.hppc.IntIntHashMap#indexOf()
0.82% 2635 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$BlockImpactsDocsEnum#advance()
0.82% 2633 org.apache.lucene.search.similarities.BM25Similarity$BM25Scorer#score()
```

**Candidate**

```java
PERCENT CPU SAMPLES STACK
4.15% 12823 org.apache.lucene.util.packed.DirectReader$DirectPackedReader20#get()
3.94% 12186 org.apache.lucene.facet.sortedset.SortedSetDocValuesFacetCounts#countOneSegment()
3.32% 10266 org.apache.lucene.facet.taxonomy.FastTaxonomyFacetCounts#countAll()
2.98% 9208 org.apache.lucene.queries.intervals.OrderedIntervalsSource$OrderedIntervalIterator#nextInterval()
2.38% 7351 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$20#ordValue()
2.07% 6386 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$DenseNumericDocValues#nextDoc()
1.85% 5723 org.apache.lucene.facet.taxonomy.IntTaxonomyFacets#increment()
1.81% 5600 jdk.internal.misc.Unsafe#convEndian()
1.81% 5588 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$EverythingEnum#nextPosition()
1.75% 5409 java.nio.Buffer#checkIndex()
1.72% 5310 org.apache.lucene.util.packed.DirectReader$DirectPackedReader4#get()
1.50% 4631 java.nio.Buffer#scope()
1.44% 4437 jdk.internal.misc.ScopedMemoryAccess#getByteInternal()
1.43% 4408 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$EverythingEnum#advance()
1.39% 4297 java.nio.DirectByteBuffer#ix()
1.39% 4280 org.apache.lucene.util.packed.DirectReader$DirectPackedReader12#get()
1.33% 4111 org.apache.lucene.store.ByteBufferGuard#ensureValid()
1.31% 4052 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$20#nextDoc()
1.29% 3974 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$4#longValue()
1.22% 3761 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$BlockImpactsPostingsEnum#advance()
1.13% 3502 org.apache.lucene.codecs.lucene90.Lucene90NormsProducer$3#longValue()
1.04% 3219 org.apache.lucene.search.ConjunctionDISI#doNext()
1.00% 3099 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader#findFirstGreater()
0.99% 3067 org.apache.lucene.codecs.lucene90.Lucene90DocValuesProducer$3#longValue()
0.99% 3052 org.apache.lucene.store.ByteBufferGuard#getInt()
0.89% 2762 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$BlockImpactsDocsEnum#advance()
0.87% 2690 org.apache.lucene.search.similarities.BM25Similarity$BM25Scorer#score()
0.86% 2663 org.apache.lucene.store.ByteBufferGuard#getByte()
0.80% 2476 org.apache.lucene.codecs.lucene90.ForUtil#expand8()
0.78% 2420 org.apache.lucene.codecs.lucene90.Lucene90PostingsReader$EverythingEnum#skipPositions()
```

---
Migrated from [LUCENE-10346](https://issues.apache.org/jira/browse/LUCENE-10346) by Feng Guo (@gf2121), updated Jan 04 2022
Pull requests: https://github.com/apache/lucene/pull/574

Start at FastTaxonomyFacetCounts#countAll() and trace how SingletonSortedNumericDocValues is used for dense cases, comparing it with the Lucene90 dense numeric implementation shown in the profiles. Run the relevant luceneutil workloads and verify that facet counts remain correct while the wrapper overhead is reduced.

Written by the indexing model from the issue text.