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discord9
a7590f8174
* perf(promql): use two pointers for sliding range boundaries Replace the stale cursor heuristic in RangeManipulateStream::calculate_range with monotonic left/right cursors. The old path rescanned each evaluation window (O(E x samples-per-window)) and could lose valid samples after sparse gaps or trailing empty windows. The two pointers keep strict monotonic progress, reducing boundary generation to O(N + E) while preserving (curr-range, curr] semantics, start/end shortening, and empty-window output. Controlled release benchmarks (fixed CPU, ABBA): - Public RangeManipulate wall time: ~28% faster at 1m/15s, ~66% at 5m/15s, ~96% at 1h/15s. - Warmed distributed TQL ANALYZE 1h queries: ~17-21% faster end to end; shorter windows stayed within run-order noise. Signed-off-by: discord9 <discord9@163.com> * perf(promql): specialize changes/resets with adaptive edge counting The generic range_fn macro slices, downcasts, and rescans every overlapping window for changes() and resets(). Replace the macro path for these two functions with hand-written UDF wrappers backed by a shared private edge-count kernel: direct raw-offset scans when requested edges are few, otherwise one global u64 edge prefix so each window is answered by a prefix difference. Behavior is preserved bit-for-bit, including raw null-buffer values, NaN semantics, signed zero, infinities, empty/singleton windows, independent timestamp/value offsets, arbitrary window layouts, and exact DataFusion error messages. The shared proc macro, planner, serializer, and other range functions are untouched. Controlled release benchmarks (fixed CPU, ABBA): - Dense sliding windows (k=4/20/240): 91.7-95.6% less public UDF wall time. - Low-coverage fallback (N=4096, 8 windows): 73.9-74.4% faster. - Warmed distributed TQL ANALYZE 5m/1h changes/resets: 12.1-19.7% client and 12.0-20.9% server latency improvement; controls stayed within drift. Signed-off-by: discord9 <discord9@163.com> * ci(query-regression): include PromQL range boundary case in defaults An audit of historical query-regression runs found zero range-query coverage: all 208 PromQL ANALYZE samples were bare selectors, so range evaluation could regress without CI noticing. Wire the promql_range_boundary case (introduced in #8646) into DEFAULT_CASES so label-triggered runs measure the range path. The case is cheap: a ~0.3s synthetic fixture and about a minute of query execution per base/candidate pass. Signed-off-by: discord9 <discord9@163.com> * chore(promql): address sliding range review nits Move test-only imports into their test modules and remove the unused pre-specialization changes and resets helpers. Signed-off-by: discord9 <discord9@163.com> * style(promql): apply pinned rustfmt Signed-off-by: discord9 <discord9@163.com> * test(promql): cover sparse range results Share the changes and resets test scaffolding while keeping their behavior oracles independent. Add an end-to-end sqlness regression for sparse samples, empty intermediate windows, and a valid trailing sample. Signed-off-by: discord9 <discord9@163.com> --------- Signed-off-by: discord9 <discord9@163.com>