fix(fuzz): address fuzzer failures for step-invariant and count_values#697
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sylr wants to merge 2 commits intothanos-io:mainfrom
Open
fix(fuzz): address fuzzer failures for step-invariant and count_values#697sylr wants to merge 2 commits intothanos-io:mainfrom
sylr wants to merge 2 commits intothanos-io:mainfrom
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The native histogram fuzzer found a samples-per-step mismatch when queries use the @ modifier (e.g. predict_linear({...}[2m] @ 0.000)). The Thanos engine's step invariant operator caches the first evaluation and replays it for subsequent steps without re-counting samples, while Prometheus counts samples at every step. This is an optimization difference, not a correctness issue. Detect @ modifier usage via VectorSelector.Timestamp/StartOrEnd fields and skip sample comparison for those expressions. Constraint: step invariant operator uses sync.Once for caching, samples only counted on first batch Rejected: Fix sample counting in step invariant operator | would add overhead for non-functional stat tracking Confidence: high Scope-risk: narrow Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Sylvain Rabot <sylvain@abstraction.fr> count_values converts float values to string labels, amplifying tiny floating point precision differences between engines into label mismatches. For example, stdvar_over_time may compute 61.24999999999997 vs 61.24999999999998 — both correct within float64 precision, but producing different count_values labels. Constraint: float64 has ~15-16 significant digits; different evaluation order yields different last-digit results Rejected: Fix float precision in stdvar_over_time | both values are equally valid within IEEE 754 Confidence: high Scope-risk: narrow Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Signed-off-by: Sylvain Rabot <sylvain@abstraction.fr>
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Summary
@modifier, since the Thanos step invariant operator caches results viasync.Onceand replays without re-counting samples per step (telemetry difference, not correctness)count_valuesfrom fuzzer validation, since it stringifies float values into labels, amplifying last-digit float64 precision differences into label mismatchesFuzzNativeHistogramQueryTest plan
FuzzNativeHistogramQuery/df60c8694f1c9759passesFuzzEnginePromQLSmithRangeQuery/59c2955b78c86babpassesgo test ./...passes (no regressions)🤖 Generated with Claude Code