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106e20cde5
For conventional histograms, we need to gather all the individual bucket timeseries at a data point to do the quantile calculation. The code so far mirrored this behavior for the new native histograms. However, since a single data point contains all the buckets alreade, that's actually not needed. This PR simplifies the code while still detecting a mix of conventional and native histograms. The weird signature calculation for the conventional histograms is getting even weirder because of that. If this PR turns out to do the right thing, I will implement a proper fix for the signature calculation upstream. Signed-off-by: beorn7 <beorn@grafana.com> |
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| .. | ||
| fuzz-data | ||
| parser | ||
| testdata | ||
| bench_test.go | ||
| engine.go | ||
| engine_test.go | ||
| functions.go | ||
| functions_test.go | ||
| fuzz.go | ||
| fuzz_test.go | ||
| promql_test.go | ||
| quantile.go | ||
| query_logger.go | ||
| query_logger_test.go | ||
| test.go | ||
| test_test.go | ||
| value.go | ||