* [DOCS] Enabled code snippet testing for start datafeed API
* [DOCS] Added datafeed creation to build.gradle
Original commit: elastic/x-pack-elasticsearch@1acb452cf0
* [DOCS] Added ML forecast API
* [DOCS] Added forecast API to build.gradle
* [DOCS] Added forecast API example
* [DOCS] Fixed forecast API intro
* [DOCS] Addressed feedback on forecast API
* [DOCS] Added duration to forecast API
* [DOCS] Removed end time from forecast API
* [DOCS] Fixed gradle errors for forecast API
Original commit: elastic/x-pack-elasticsearch@db79e3d5bb
* [DOCS] Enabled code snippet testing for put datafeed API
* [DOCS] Addressed gradle errors in put datafeed API
* [DOCS] Added job creation test to build.gradle
Original commit: elastic/x-pack-elasticsearch@3548d920c7
For the purpose of getting this API consumed by our UI, returning
overall buckets that match the job's largest `bucket_span` can
result in too much data. The UI only ever displays a few buckets
in the swimlane. Their span depends on the time range selected and
the screen resolution, but it will only ever be a relatively
low number.
This PR adds the ability to aggregate overall buckets in a user
specified `bucket_span`. That `bucket_span` may be equal or
greater to the largest job's `bucket_span`. The `overall_score`
of the result overall buckets is the max score of the
corresponding overall buckets with a span equal to the job's
largest `bucket_span`.
The implementation is now chunking the bucket requests
as otherwise the aggregation would fail when too many buckets
are matching.
Original commit: elastic/x-pack-elasticsearch@981f7a40e5
Adds the GET overall_buckets API.
The REST end point is: GET
/_xpack/ml/anomaly_detectors/job_id/results/overall_buckets
The API returns overall bucket results. An overall bucket
is a summarized bucket result over multiple jobs.
It has the `bucket_span` of the longest job's `bucket_span`.
It also has an `overall_score` that is the `top_n` average of the
max anomaly scores per job.
relates elastic/x-pack-elasticsearch#2693
Original commit: elastic/x-pack-elasticsearch@ba6061482d
* [DOCS] Add job groups to ML create/update job APIs
* [DOCS] Fix ML update job API example
* [DOCS] Address feedback for ML create/update job APIs
Original commit: elastic/x-pack-elasticsearch@0e7bb47342
This change makes 2 improvements to the max_running_jobs setting:
1. Namespaces it by adding the xpack.ml. prefix
2. Renames "running" to "open", because the "running" terminology
is not used elsewhere
The old max_running_jobs setting is used as a fallback if the new
xpack.ml.max_open_jobs setting is not specified. max_running_jobs
is deprecated and (to ease backporting in the short term) will be
removed from 7.0 in a different PR closer to release of 7.0.
Relates elastic/x-pack-elasticsearch#2185
Original commit: elastic/x-pack-elasticsearch@18c539f9bb
* [DOCS] Update APIs for multiple jobs or datafeeds
* [DOCS] Fix syntax diagrams for ML stop/close APIs
* [DOCS] Removed TBD authorization for ML APIs
Original commit: elastic/x-pack-elasticsearch@1a9137a5a7
* [DOCS] Update model_memory_limit
* [DOCS] Clarify minimum model_memory_limit value
* [DOCS] More updates to model_memory_limit
* [DOCS] Address feedback in jobresource.asciidoc
Original commit: elastic/x-pack-elasticsearch@3c62719037
This is step 2 of elastic/x-pack-elasticsearch#1604
This change stores `model_memory_limit` as a string with `mb` unit.
I considered using the `toString` method of `ByteSizeValue` but it
can lead to accuracy loss. Adding the fixed `mb` unit maintains
the accuracy, while making clear what unit the value is in.
Original commit: elastic/x-pack-elasticsearch@4dc48f0ce8
* [DOCS] Model plot updates
Add to job create.
Remove terms from job resource.
* [DOCS] Describing terms as experimental
Original commit: elastic/x-pack-elasticsearch@815fa0ec37
* [DOCS] Add ML info about script fields
* [DOCS] Add links to ML script fields page
* [DOCS] Add ML API examples to transforms.asciidoc
* [DOCS] Addressed feedback in ML script field examples
* [DOCS] Add preview to ML script fields example
* [DOCS] Expanded code snippets in ML transform examples
* [DOCS] Add output for ML scripted fields example
* [DOCS] Add output for more ML scripted field examples
* [DOCS] Add output for final ML scripted field examples
* [DOC] Add Kibana details for ML script fields
* [DOCS] Remove example from ML transforms
Original commit: elastic/x-pack-elasticsearch@51057b029f
* [DOCS] Update ML APIs for Elasticsearch Reference
* [DOCS] Add X-Pack icon for ML APIs
* [DOCS] Add role attribute to ML APIs
Original commit: elastic/x-pack-elasticsearch@997ea39759
Prior to this change, if the persistent tasks framework noticed that a
job was running on a node that was isolated but has rejoined the cluster
then it would close that job. This was not ideal, because then the job
would persist state from the autodetect process that was isolated. This
commit changes the behaviour to kill the autodetect process associated
with such a job, so that it does not interfere with the autodetect process
that is running on the node where the persistent tasks framework thinks it
should be running.
In order to achieve this a change has also been made to the behaviour of
force-close. Previously this would result in the autodetect process being
gracefully shut down asynchronously to the force-close request. However,
the mechanism by which this happened was the same as the mechanism for
cancelling tasks that end up running on more than one node due to nodes
becoming isolated from the cluster. Therefore, force-close now also kills
the autodetect process rather than gracefully stopping it. The documentation
has been changed to reflect this. It should not be a problem as force-close
is supposed to be a last resort for when normal close fails.
relates elastic/x-pack-elasticsearch#1186
Original commit: elastic/x-pack-elasticsearch@578c944371
* [DOCS] Add ML categorization of messages
* [DOCS] Describe ML categorization_examples_limit property
* [DOCS] Updated ML categorization of messages
* [DOCS] Add links to ML categorization
Original commit: elastic/x-pack-elasticsearch@6403f6ce84
When a user or client intend to delete a datafeed
and its job, there is benefit into ensuring the
datafeed has gracefully stopped (ie no data loss).
In constrast, the desired behaviour is to stop and
delete the datafeed as quickly as possible.
This change adds a force option to the delete
datafeed action. When the delete is forced,
the datafeed is isolated, its task removed and,
finally, the datafeed itself is removed from the
metadata.
relates elastic/x-pack-elasticsearch#1533
Original commit: elastic/x-pack-elasticsearch@5ae0168bf2
* Add force delete job option
* Can’t kill a process on a 5.4 node
* Address review comments
* Rename KillAutodetectAction -> KillProcessAction
* Review comments
* Cancelling task is superfluous after it has been killed
* Update docs
* Revert "Cancelling task is superfluous after it has been killed"
This reverts commit 576950e2e1ee095b38174d8b71de353c082ae953.
* Remove unnecessary TODOs and logic that doesn't alwasys force close
Original commit: elastic/x-pack-elasticsearch@f8c8b38217
Detectors now have a field called detector_index. This is also now the
field that needs to be supplied when updating a detector. (Previously
it was simply index, which was confusing.)
When detectors are added to an analysis_config it will reassign
ascending detector_index values starting from 0. The intention is
never to allow deletion of detectors from an analysis_config, but
possibly to allow disabling them in the future. This ensures that
detector_index values in results will always tie up with detector_ids
in the detectors that created them.
relates elastic/x-pack-elasticsearch#1275
Original commit: elastic/x-pack-elasticsearch@20a660b07b
* Remove sequenceNum from anomaly records and influencers
* Generate unqiue IDs without sequence numbers
* Remove more instances of sequence_num
* Handle parsing sequnce_num from v5.4
Original commit: elastic/x-pack-elasticsearch@e60b206daf
* [DOCS] Add ML aggregations configuration scenario
* [DOCS] Refine ML configuration page
* [DOCS] Add ML aggregation details
* [DOCS] Add links to aggregations in Configuring ML
* [DOCS] Address feedback about ML aggregations
Original commit: elastic/x-pack-elasticsearch@8474144093
Dimitris Athanasiou
Lisa Cawley
Russ Cam
David Kyle
David Roberts
Sophie Chang
Ryan Ernst