Adds info about when to use data frames #435
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You can preview this content here: http://stack-docs_435.docs-preview.app.elstc.co/guide/en/elastic-stack-overview/master/ml-dataframes.html |
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@sophiec20 FYI I added a subsection in the introductory "Data frame transforms" page, per your suggestion. |
| composite aggregation, the transform receives partial results. The aggregated | ||
| search is retried with a smaller number of buckets. This retry is performed at | ||
| the interval defined in the transform's `frequency` property. If the search | ||
| is retried to the point where it reaches a minimal number of buckets, an |
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Is this minimal number of buckets configurable or visible to users?
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it is 10 (which is fixed and also the minimum value for max_page_search_size)
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Also please remove final sentence In general, the design of data frame transforms favors data consistency over continuous running. -- it reads funny and does not add.
| composite aggregation, the transform receives partial results. The aggregated | ||
| search is retried with a smaller number of buckets. This retry is performed at | ||
| the interval defined in the transform's `frequency` property. If the search | ||
| is retried to the point where it reaches a minimal number of buckets, an |
There was a problem hiding this comment.
it is 10 (which is fixed and also the minimum value for max_page_search_size)
| composite aggregation, the transform receives partial results. The aggregated | ||
| search is retried with a smaller number of buckets. This retry is performed at | ||
| the interval defined in the transform's `frequency` property. If the search | ||
| is retried to the point where it reaches a minimal number of buckets, an |
There was a problem hiding this comment.
Also please remove final sentence In general, the design of data frame transforms favors data consistency over continuous running. -- it reads funny and does not add.
This PR moves the content from docs/en/stack/data-frames/dataframes.asciidoc into a lower-level "Overview" page. It then adds information to the highest-level "Data frame transforms" page about when it makes sense to use data frames instead of aggregations.