Force buffered data to be processed Added in 5.4.0
The flush jobs API is only applicable when sending data for analysis using the post data API. Depending on the content of the buffer, then it might additionally calculate new results. Both flush and close operations are similar, however the flush is more efficient if you are expecting to send more data for analysis. When flushing, the job remains open and is available to continue analyzing data. A close operation additionally prunes and persists the model state to disk and the job must be opened again before analyzing further data.
Path parameters
-
Identifier for the anomaly detection job.
Query parameters
-
advance_time string | number
Specifies to advance to a particular time value. Results are generated and the model is updated for data from the specified time interval.
-
calc_interim boolean
If true, calculates the interim results for the most recent bucket or all buckets within the latency period.
-
end string | number
When used in conjunction with
calc_interim
andstart
, specifies the range of buckets on which to calculate interim results. -
skip_time string | number
Specifies to skip to a particular time value. Results are not generated and the model is not updated for data from the specified time interval.
-
start string | number
When used in conjunction with
calc_interim
, specifies the range of buckets on which to calculate interim results.
Body
advance_time string | number
A date and time, either as a string whose format can depend on the context (defaulting to ISO 8601), or a number of milliseconds since the Epoch. Elasticsearch accepts both as input, but will generally output a string representation.
One of: Time unit for milliseconds
-
calc_interim boolean
Refer to the description for the
calc_interim
query parameter.
curl \
-X POST http://api.example.com/_ml/anomaly_detectors/{job_id}/_flush \
-H "Content-Type: application/json" \
-d '{"":"string","calc_interim":true}'