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perf: avoid allocs in unicodeFoldTransformer #53

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merged 1 commit into from
May 3, 2023

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josharian
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There is no need for temporary slices; the transformation can happen rune-by-rune.

goos: darwin
goarch: arm64
pkg: github.com/lithammer/fuzzysearch/fuzzy
                              │      a       │                  b                  │
                              │    sec/op    │   sec/op     vs base                │
Match-8                          16.06n ± 3%   16.04n ± 3%        ~ (p=0.447 n=10)
MatchBigLate-8                   1.008µ ± 0%   1.007µ ± 1%        ~ (p=1.000 n=10)
MatchBigEarly-8                  12.56n ± 2%   12.58n ± 3%        ~ (p=0.303 n=10)
MatchFold-8                      334.5n ± 1%   137.9n ± 2%  -58.77% (p=0.000 n=10)
MatchFoldBigLate-8              27.349µ ± 1%   7.088µ ± 1%  -74.08% (p=0.000 n=10)
MatchFoldBigEarly-8             26.390µ ± 2%   6.091µ ± 9%  -76.92% (p=0.000 n=10)
RankMatch-8                      17.66n ± 1%   17.59n ± 0%   -0.40% (p=0.034 n=10)
RankMatchBigLate-8               1.010µ ± 1%   1.008µ ± 3%        ~ (p=0.368 n=10)
RankMatchBigEarly-8              1.236µ ± 0%   1.235µ ± 2%        ~ (p=0.667 n=10)
LevenshteinDistance-8            55.65n ± 3%   55.52n ± 3%        ~ (p=0.054 n=10)
LevenshteinDistanceBigLate-8     20.53µ ± 1%   20.47µ ± 3%   -0.29% (p=0.042 n=10)
LevenshteinDistanceBigEarly-8    20.57µ ± 3%   20.47µ ± 3%        ~ (p=0.060 n=10)
geomean                          736.4n        540.1n       -26.66%

                              │        a        │                   b                    │
                              │      B/op       │     B/op      vs base                  │
Match-8                            0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigLate-8                     0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigEarly-8                    0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchFold-8                        720.0 ± 0%       512.0 ± 0%  -28.89% (p=0.000 n=10)
MatchFoldBigLate-8              36.711Ki ± 0%     8.750Ki ± 0%  -76.17% (p=0.000 n=10)
MatchFoldBigEarly-8             36.711Ki ± 0%     8.750Ki ± 0%  -76.17% (p=0.000 n=10)
RankMatch-8                        0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigLate-8                 0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigEarly-8                0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistance-8              0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigLate-8     6.375Ki ± 0%     6.375Ki ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigEarly-8    6.375Ki ± 0%     6.375Ki ± 0%        ~ (p=1.000 n=10) ¹
geomean                                       ²                 -23.46%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean

                              │       a       │                  b                   │
                              │   allocs/op   │ allocs/op   vs base                  │
Match-8                          0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigLate-8                   0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigEarly-8                  0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchFold-8                     10.000 ± 0%     2.000 ± 0%  -80.00% (p=0.000 n=10)
MatchFoldBigLate-8              186.00 ± 0%     25.00 ± 0%  -86.56% (p=0.000 n=10)
MatchFoldBigEarly-8             186.00 ± 0%     25.00 ± 0%  -86.56% (p=0.000 n=10)
RankMatch-8                      0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigLate-8               0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigEarly-8              0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistance-8            0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigLate-8     1.000 ± 0%     1.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigEarly-8    1.000 ± 0%     1.000 ± 0%        ~ (p=1.000 n=10) ¹
geomean                                     ²               -37.41%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean

There is no need for temporary slices;
the transformation can happen rune-by-rune.

goos: darwin
goarch: arm64
pkg: github.com/lithammer/fuzzysearch/fuzzy
                              │      a       │                  b                  │
                              │    sec/op    │   sec/op     vs base                │
Match-8                          16.06n ± 3%   16.04n ± 3%        ~ (p=0.447 n=10)
MatchBigLate-8                   1.008µ ± 0%   1.007µ ± 1%        ~ (p=1.000 n=10)
MatchBigEarly-8                  12.56n ± 2%   12.58n ± 3%        ~ (p=0.303 n=10)
MatchFold-8                      334.5n ± 1%   137.9n ± 2%  -58.77% (p=0.000 n=10)
MatchFoldBigLate-8              27.349µ ± 1%   7.088µ ± 1%  -74.08% (p=0.000 n=10)
MatchFoldBigEarly-8             26.390µ ± 2%   6.091µ ± 9%  -76.92% (p=0.000 n=10)
RankMatch-8                      17.66n ± 1%   17.59n ± 0%   -0.40% (p=0.034 n=10)
RankMatchBigLate-8               1.010µ ± 1%   1.008µ ± 3%        ~ (p=0.368 n=10)
RankMatchBigEarly-8              1.236µ ± 0%   1.235µ ± 2%        ~ (p=0.667 n=10)
LevenshteinDistance-8            55.65n ± 3%   55.52n ± 3%        ~ (p=0.054 n=10)
LevenshteinDistanceBigLate-8     20.53µ ± 1%   20.47µ ± 3%   -0.29% (p=0.042 n=10)
LevenshteinDistanceBigEarly-8    20.57µ ± 3%   20.47µ ± 3%        ~ (p=0.060 n=10)
geomean                          736.4n        540.1n       -26.66%

                              │        a        │                   b                    │
                              │      B/op       │     B/op      vs base                  │
Match-8                            0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigLate-8                     0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigEarly-8                    0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchFold-8                        720.0 ± 0%       512.0 ± 0%  -28.89% (p=0.000 n=10)
MatchFoldBigLate-8              36.711Ki ± 0%     8.750Ki ± 0%  -76.17% (p=0.000 n=10)
MatchFoldBigEarly-8             36.711Ki ± 0%     8.750Ki ± 0%  -76.17% (p=0.000 n=10)
RankMatch-8                        0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigLate-8                 0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigEarly-8                0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistance-8              0.000 ± 0%       0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigLate-8     6.375Ki ± 0%     6.375Ki ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigEarly-8    6.375Ki ± 0%     6.375Ki ± 0%        ~ (p=1.000 n=10) ¹
geomean                                       ²                 -23.46%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean

                              │       a       │                  b                   │
                              │   allocs/op   │ allocs/op   vs base                  │
Match-8                          0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigLate-8                   0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchBigEarly-8                  0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
MatchFold-8                     10.000 ± 0%     2.000 ± 0%  -80.00% (p=0.000 n=10)
MatchFoldBigLate-8              186.00 ± 0%     25.00 ± 0%  -86.56% (p=0.000 n=10)
MatchFoldBigEarly-8             186.00 ± 0%     25.00 ± 0%  -86.56% (p=0.000 n=10)
RankMatch-8                      0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigLate-8               0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
RankMatchBigEarly-8              0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistance-8            0.000 ± 0%     0.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigLate-8     1.000 ± 0%     1.000 ± 0%        ~ (p=1.000 n=10) ¹
LevenshteinDistanceBigEarly-8    1.000 ± 0%     1.000 ± 0%        ~ (p=1.000 n=10) ¹
geomean                                     ²               -37.41%                ²
¹ all samples are equal
² summaries must be >0 to compute geomean
@lithammer lithammer merged commit 6561906 into lithammer:master May 3, 2023
@lithammer
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Very nice, thank you!

@lithammer
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Released as part of v1.1.7

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2 participants