elasticsearch-js/docs/reference/api/MlUpdateDataFrameAnalyticsRequest.md

Interface MlUpdateDataFrameAnalyticsRequest

Name	Type	Description
allow_lazy_start	boolean	Specifies whether this job can start when there is insufficient machine learning node capacity for it to be immediately assigned to a node.
body	string	({ [key: string]: any; } & { id?: never; description?: never; model_memory_limit?: never; max_num_threads?: never; allow_lazy_start?: never; })
description	string	A description of the job.
id	Id	Identifier for the data frame analytics job. This identifier can contain lowercase alphanumeric characters (a-z and 0-9), hyphens, and underscores. It must start and end with alphanumeric characters.
max_num_threads	integer	The maximum number of threads to be used by the analysis. Using more threads may decrease the time necessary to complete the analysis at the cost of using more CPU. Note that the process may use additional threads for operational functionality other than the analysis itself.
model_memory_limit	string	The approximate maximum amount of memory resources that are permitted for analytical processing. If your elasticsearch.yml file contains an xpack.ml.max_model_memory_limit setting, an error occurs when you try to create data frame analytics jobs that have model_memory_limit values greater than that setting.
querystring	{ [key: string]: any; } & { id?: never; description?: never; model_memory_limit?: never; max_num_threads?: never; allow_lazy_start?: never; }	All values in querystring will be added to the request querystring.