118 lines
3.1 KiB
Plaintext
118 lines
3.1 KiB
Plaintext
//lcawley Verified example output 2017-04-11
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[[ml-get-snapshot]]
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==== Get Model Snapshots
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The get model snapshots API enables you to retrieve information about model snapshots.
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===== Request
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`GET _xpack/ml/anomaly_detectors/<job_id>/model_snapshots` +
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`GET _xpack/ml/anomaly_detectors/<job_id>/model_snapshots/<snapshot_id>`
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===== Description
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You must have `monitor_ml`, `monitor`, `manage_ml`, or `manage` cluster
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privileges to use this API. For more information, see <<privileges-list-cluster>>.
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===== Path Parameters
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`job_id`::
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(string) Identifier for the job.
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`snapshot_id`::
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(string) Identifier for the model snapshot. If you do not specify this
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optional parameter, the API returns information about all model snapshots.
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===== Request Body
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`desc`::
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(boolean) If true, the results are sorted in descending order.
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`description`::
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(string) Returns snapshots that match this description.
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//TBD: I couldn't get this to work. What description value is it using?
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NOTE: It might be necessary to URL encode the description.
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`end`::
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(date) Returns snapshots with timestamps earlier than this time.
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`from`::
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(integer) Skips the specified number of snapshots.
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`size`::
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(integer) Specifies the maximum number of snapshots to obtain.
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`sort`::
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(string) Specifies the sort field for the requested snapshots.
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//By default, the snapshots are sorted by the xxx value.
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`start`::
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(string) Returns snapshots with timestamps after this time.
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===== Results
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The API returns the following information:
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`model_snapshots`::
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(array) An array of model snapshot objects. For more information, see
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<<ml-snapshot-resource,Model Snapshots>>.
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////
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===== Responses
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200
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(EmptyResponse) The cluster has been successfully deleted
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404
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(BasicFailedReply) The cluster specified by {cluster_id} cannot be found (code: clusters.cluster_not_found)
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412
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(BasicFailedReply) The Elasticsearch cluster has not been shutdown yet (code: clusters.cluster_plan_state_error)
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////
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===== Examples
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The following example gets model snapshot information for the
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`it_ops_new_logs` job:
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[source,js]
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--------------------------------------------------
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GET _xpack/ml/anomaly_detectors/farequote/model_snapshots
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{
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"start": "1491852977000"
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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In this example, the API provides a single result:
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[source,js]
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----
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{
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"count": 1,
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"model_snapshots": [
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{
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"job_id": "farequote",
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"timestamp": 1491948163000,
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"description": "State persisted due to job close at 2017-04-11T15:02:43-0700",
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"snapshot_id": "1491948163",
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"snapshot_doc_count": 1,
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"model_size_stats": {
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"job_id": "farequote",
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"result_type": "model_size_stats",
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"model_bytes": 387594,
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"total_by_field_count": 21,
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"total_over_field_count": 0,
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"total_partition_field_count": 20,
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"bucket_allocation_failures_count": 0,
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"memory_status": "ok",
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"log_time": 1491948163000,
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"timestamp": 1455234600000
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},
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"latest_record_time_stamp": 1455235196000,
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"latest_result_time_stamp": 1455234900000,
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"retain": false
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}
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]
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}
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----
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