perf: optimize regexp_count to avoid String allocation when start position is provided #19553
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…ition is provided Replace `.chars().skip().collect::<String>()` with zero-copy string slicing using `char_indices()` to find the byte offset, then slice with `&value[byte_offset..]`. This eliminates unnecessary String allocation per row when a start position is specified. Changes: - Use char_indices().nth() to find byte offset for start position (1-based) - Use string slicing &value[byte_offset..] instead of collecting chars - Added benchmark to measure performance improvements Optimization: - Before: Allocated new String via .collect() for each row with start position - After: Uses zero-copy string slice Benchmark results: - size=1024, str_len=32: 96.361 µs -> 41.458 µs (57.0% faster, 2.3x speedup) - size=1024, str_len=128: 210.16 µs -> 56.064 µs (73.3% faster, 3.7x speedup) - size=4096, str_len=32: 376.90 µs -> 162.98 µs (56.8% faster, 2.3x speedup) - size=4096, str_len=128: 855.68 µs -> 263.61 µs (69.2% faster, 3.2x speedup) The optimization shows greater improvements for longer strings (up to 73% faster) since string slicing is O(1) regardless of length, while the previous approach had allocation costs that grew with string length.
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Which issue does this PR close?
Rationale for this change
What changes are included in this PR?
Replace
.chars().skip().collect::<String>()with zero-copy string slicing usingchar_indices()to find the byte offset, then slice with&value[byte_offset..].This eliminates unnecessary String allocation per row when a start position is specified.
Changes:
Optimization:
Benchmark results:
The optimization shows greater improvements for longer strings (up to 73% faster) since string slicing is O(1) regardless of length, while the previous approach had allocation costs that grew with string length.
Are these changes tested?
Are there any user-facing changes?