encoding/json: optimize field sorting with slices and cmp

[aimuz]

Refactor field sorting in typeFields to use slices.SortFunc and cmp.Compare,
resulting in performance improvements in cache misses and slight increases in
hit latency. Memory allocation and operation counts also reduced significantly
for cache misses.

goos: darwin
goarch: arm64
pkg: encoding/json
cpu: Apple M2 Max
│ old.txt │ new.txt │
│ sec/op │ sec/op vs base │
TypeFieldsCache/MissTypes1-12 5.068µ ± 2% 5.032µ ± 1% ~ (p=0.055 n=10)
TypeFieldsCache/MissTypes10-12 15.22µ ± 2% 14.79µ ± 2% -2.84% (p=0.000 n=10)
TypeFieldsCache/MissTypes100-12 98.40µ ± 3% 94.72µ ± 1% -3.73% (p=0.002 n=10)
TypeFieldsCache/MissTypes1000-12 860.3µ ± 3% 840.7µ ± 1% ~ (p=0.105 n=10)
TypeFieldsCache/MissTypes10000-12 8.092m ± 3% 7.987m ± 4% ~ (p=0.280 n=10)
TypeFieldsCache/MissTypes100000-12 80.90m ± 9% 80.62m ± 2% ~ (p=0.631 n=10)
TypeFieldsCache/MissTypes1000000-12 1009.5m ± 7% 933.8m ± 7% -7.50% (p=0.011 n=10)
TypeFieldsCache/HitTypes1-12 1.554n ± 3% 1.617n ± 3% +4.05% (p=0.004 n=10)
TypeFieldsCache/HitTypes10-12 1.575n ± 1% 1.624n ± 6% +3.14% (p=0.000 n=10)
TypeFieldsCache/HitTypes100-12 1.566n ± 1% 1.627n ± 5% +3.86% (p=0.000 n=10)
TypeFieldsCache/HitTypes1000-12 1.526n ± 4% 1.596n ± 3% +4.55% (p=0.001 n=10)
TypeFieldsCache/HitTypes10000-12 1.506n ± 0% 1.573n ± 3% +4.41% (p=0.000 n=10)
TypeFieldsCache/HitTypes100000-12 1.480n ± 1% 1.529n ± 7% +3.35% (p=0.001 n=10)
TypeFieldsCache/HitTypes1000000-12 1.473n ± 2% 1.468n ± 2% ~ (p=0.739 n=10)
geomean 1.371µ 1.374µ +0.25%

                                │     old.txt     │                new.txt                 │
                                │      B/op       │     B/op       vs base                 │

TypeFieldsCache/MissTypes1-12 2.023Ki ± 0% 2.000Ki ± 0% -1.16% (p=0.000 n=10)
TypeFieldsCache/MissTypes10-12 10.95Ki ± 0% 10.71Ki ± 0% -2.17% (p=0.000 n=10)
TypeFieldsCache/MissTypes100-12 101.91Ki ± 0% 99.53Ki ± 0% -2.34% (p=0.000 n=10)
TypeFieldsCache/MissTypes1000-12 1044.3Ki ± 0% 1020.8Ki ± 0% -2.25% (p=0.000 n=10)
TypeFieldsCache/MissTypes10000-12 9.957Mi ± 0% 9.730Mi ± 0% -2.29% (p=0.000 n=10)
TypeFieldsCache/MissTypes100000-12 97.79Mi ± 0% 95.50Mi ± 0% -2.34% (p=0.000 n=10)
TypeFieldsCache/MissTypes1000000-12 1018.4Mi ± 0% 995.5Mi ± 0% -2.25% (p=0.000 n=10)
TypeFieldsCache/HitTypes1-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes10-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes100-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes1000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes10000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes100000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes1000000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
geomean ² -1.06% ²
¹ all samples are equal
² summaries must be >0 to compute geomean

                                │    old.txt    │               new.txt                │
                                │   allocs/op   │  allocs/op   vs base                 │

TypeFieldsCache/MissTypes1-12 46.00 ± 0% 45.00 ± 0% -2.17% (p=0.000 n=10)
TypeFieldsCache/MissTypes10-12 215.0 ± 0% 205.0 ± 0% -4.65% (p=0.000 n=10)
TypeFieldsCache/MissTypes100-12 1.845k ± 0% 1.745k ± 0% -5.42% (p=0.000 n=10)
TypeFieldsCache/MissTypes1000-12 18.08k ± 0% 17.08k ± 0% -5.53% (p=0.000 n=10)
TypeFieldsCache/MissTypes10000-12 180.3k ± 0% 170.3k ± 0% -5.55% (p=0.000 n=10)
TypeFieldsCache/MissTypes100000-12 1.804M ± 0% 1.704M ± 0% -5.54% (p=0.000 n=10)
TypeFieldsCache/MissTypes1000000-12 18.04M ± 0% 17.04M ± 0% -5.54% (p=0.000 n=10)
TypeFieldsCache/HitTypes1-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes10-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes100-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes1000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes10000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes100000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
TypeFieldsCache/HitTypes1000000-12 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
geomean ² -2.49% ²
¹ all samples are equal
² summaries must be >0 to compute geomean

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