3ed65eb418
If a search failure occurs during data frame extraction we catch the error and retry once. However, we retry another search that is identical to the first one. This means we will re-fetch any docs that were already processed. This may result either to training a model using duplicate data or in the case of outlier detection to an error message that the process received more records than it expected. This commit fixes this issue by tracking the latest doc's sort key and then using that in a range query in case we restart the search due to a failure. Backport of #61544 Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com> |
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| dev-tools | ||
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| plugin | ||
| qa | ||
| snapshot-tool | ||
| test | ||
| transport-client | ||
| NOTICE.txt | ||
| README.md | ||
| build.gradle | ||
README.md
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