Add experimental promQL funcs #133
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yeya24
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Nov 5, 2024
opts.go
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| enableOffset bool | ||
| enableAtModifier bool | ||
| enableVectorMatching bool | ||
| enableExperimentalPromQL bool |
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Can we call it enableExperimentalPromQLFunctions? Same as https://prometheus.io/docs/prometheus/latest/feature_flags/#experimental-promql-functions.
It is not just functions but I think it is more accurate to mention that
walk.go
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| @@ -83,6 +83,10 @@ func (s *PromQLSmith) walkAggregateParam(op parser.ItemType) parser.Expr { | |||
| return s.Walk(parser.ValueTypeScalar) | |||
| case parser.COUNT_VALUES: | |||
| return &parser.StringLiteral{Val: "value"} | |||
| case parser.LIMITK, parser.LIMIT_RATIO: | |||
| if s.enableExperimentalPromQL { | |||
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So we pick an aggregation type randomly from enabled aggregate operators. But for now I think default aggregate operators don't include limitk and limit_ratio.
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This might go wrong if users enable the feature flag but don't add the operators to enabled aggregate operators
| expr.Args = append(expr.Args, &parser.StringLiteral{Val: name}) | ||
| cnt++ | ||
| } | ||
| } |
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There are 2 issues here:
- there is no randomization since
s.labelNamesare always the same order - For refernece you can check
walkLabelJoin. We try to get the underlying vector selector and infer what labels it might have and pick labels there. This increases the chance where the labels used in the query actually makes sense for the series
Signed-off-by: kade.lee <[email protected]>
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This PR adds experimental promQL funcs.