Estimate memory usage APIedit
Estimates memory usage for the given data frame analytics config.
Deprecated in 7.5.
Replaced by the explain data frame analytics API
in later releases.
This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
Requestedit
POST _ml/data_frame/analytics/_estimate_memory_usage
Prerequisitesedit
If the Elasticsearch security features are enabled, you must have the following privileges:
-
cluster:
monitor_ml
For more information, see Security privileges and Built-in roles.
Descriptionedit
This API estimates memory usage for the given data frame analytics config before the data frame analytics job is even created.
Serves as an advice on how to set model_memory_limit
when creating
data frame analytics job.
Request bodyedit
-
data_frame_analytics_config
-
(Required, object) Intended configuration of data frame analytics job. For more
information, see Create data frame analytics jobs. Note that
id
anddest
don’t need to be provided in the context of this API.
Response bodyedit
-
expected_memory_without_disk
- (string) Estimated memory usage under the assumption that the whole data frame analytics should happen in memory (in other words, without overflowing to disk).
-
expected_memory_with_disk
-
(string) Estimated memory usage under the assumption that overflowing to disk
is allowed during data frame analytics.
expected_memory_with_disk
is usually smaller thanexpected_memory_without_disk
as using disk allows to limit the main memory needed to perform data frame analytics.
Examplesedit
POST _ml/data_frame/analytics/_estimate_memory_usage { "data_frame_analytics_config": { "source": { "index": "logdata" }, "analysis": { "outlier_detection": {} } } }
The API returns the following results:
{ "expected_memory_without_disk": "128MB", "expected_memory_with_disk": "32MB" }