[DOCS] Clarifies data frame transform frequency is also for retries (#44229)
In data frame transforms the same scheduler controls both retries in the event of search failures and gaps between checks for changes when the transform is running continuously. Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
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@ -62,9 +62,11 @@ IMPORTANT: You must use {kib} or this API to create a {dataframe-transform}.
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(Optional, string) The unique identifier for a <<pipeline,pipeline>>.
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(Optional, string) The unique identifier for a <<pipeline,pipeline>>.
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`frequency`::
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`frequency`::
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(Optional, time units) The interval between checks for changes in the source indices
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(Optional, time units) The interval between checks for changes in the source
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when the {dataframe-transform} is running continuously. Defaults to `1m`.
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indices when the {dataframe-transform} is running continuously. Also determines
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The lowest permitted value is `1s`; the highest `1h`.
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the retry interval in the event of transient failures while the {dataframe-transform} is
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searching or indexing. The minimum value is `1s` and the maximum is `1h`. The
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default value is `1m`.
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`pivot`::
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`pivot`::
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(Required, object) Defines the pivot function `group by` fields and the aggregation to
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(Required, object) Defines the pivot function `group by` fields and the aggregation to
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@ -21,8 +21,10 @@ For more information, see
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`frequency`::
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`frequency`::
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(time units) The interval between checks for changes in the source indices
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(time units) The interval between checks for changes in the source indices
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when the {dataframe-transform} is running continuously. The minimum value is
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when the {dataframe-transform} is running continuously. Also determines the
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`1s` and the maximum is `1h`. The default value is `1m`.
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retry interval in the event of transient failures while the {dataframe-transform} is
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searching or indexing. The minimum value is `1s` and the maximum is `1h`. The
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default value is `1m`.
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`id`::
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`id`::
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(string) A unique identifier for the {dataframe-transform}.
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(string) A unique identifier for the {dataframe-transform}.
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@ -122,4 +124,4 @@ composite aggregations. See
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==== {api-examples-title}
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==== {api-examples-title}
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See the
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See the
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<<put-data-frame-transform-example,create {dataframe-transforms} API examples>>.
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<<put-data-frame-transform-example,create {dataframe-transforms} API examples>>.
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