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[ML] Avoid multiple queued quantiles documents in renormalizer (#85555)…
… (#85599) It's possible that an anomaly detection job can output a flurry of quantiles documents for use in renormalization in the time that a single renormalization takes. When this happens we only use the most recent quantiles document for the next renormalization, but the previous code queued up all the quantiles documents until the next renormalization started. The new approach that this PR implements is to only keep the most recent new quantiles document while the current renormalization is in progress. This avoids wasting memory on a queue that will be largely discarded (apart from one element) later on. Fixes #85539
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Original file line number | Diff line number | Diff line change |
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pr: 85555 | ||
summary: Avoid multiple queued quantiles documents in renormalizer | ||
area: Machine Learning | ||
type: bug | ||
issues: | ||
- 85539 |
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