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[ML] Add an important note about a gotcha with the delayed data check #104725
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Recently a user saw spurious delayed data warnings. These turned out to be due to accidentally setting `summary_count_field` to a field that was always zero. This meant that every document was considered delayed.
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szabosteve
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docs/reference/ml/anomaly-detection/ml-delayed-data-detection.asciidoc
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…asciidoc Co-authored-by: István Zoltán Szabó <[email protected]>
szabosteve
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==== | ||
As the `doc_count` from an aggregation is compared with the | ||
bucket results of the job, the delayed data check will not work correctly in the | ||
following cases: |
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Suggested change
following cases: | |
following cases: | |
szabosteve
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LGTM!
💚 Backport successful
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…elastic#104725) Recently a user saw spurious delayed data warnings. These turned out to be due to accidentally setting `summary_count_field` to a field that was always zero. This meant that every document was considered delayed.
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Jan 25, 2024
…elastic#104725) Recently a user saw spurious delayed data warnings. These turned out to be due to accidentally setting `summary_count_field` to a field that was always zero. This meant that every document was considered delayed.
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Recently a user saw spurious delayed data warnings. These turned out to be due to accidentally setting
summary_count_field
to a field that was always zero. This meant that every document was considered delayed.