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Profile with hotpath and speed up result encoding - #14
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Add hotpath behind `hotpath`/`hotpath-alloc`/`hotpath-cpu` features (no-op otherwise) and instrument the headless query, schema and profile paths. What the profile showed, and the fixes: - Tagged cells (DECIMAL, DATE, TIMESTAMP, TIME, BLOB) cost ~5x a plain one: build the map at its final size and use static unit names instead of `json!` and a `Debug` render. - `ducklocal query` spent ~40% of its time freeing the result just before exiting; forget it after printing. End to end 20-26% faster at 2M cells. - An analysis app's `query()` deep-copied the result twice: in `capture::query` even when nothing was recording, and per cell in `query_value`. Skip the first, move cells in the second. - Grid dates and timestamps were formatted through chrono's strftime path; write the fields directly (117 -> 94 ms, 3.7M -> 2.5M allocations for 1.2M cells, new probe A4). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Add hotpath behind
hotpath/hotpath-alloc/hotpath-cpufeatures (no-op otherwise) and instrument the headless query, schema and profile paths.What the profile showed, and the fixes:
json!and aDebugrender.ducklocal queryspent ~40% of its time freeing the result just before exiting; forget it after printing. End to end 20-26% faster at 2M cells.query()deep-copied the result twice: incapture::queryeven when nothing was recording, and per cell inquery_value. Skip the first, move cells in the second.