This change disables security for trial licenses unless security is
explicitly enabled in the settings. This is done to facilitate users
getting started and not having to deal with some of the complexities
involved in getting security configured. In order to do this and avoid
disabling security for existing users that have gold or platinum
licenses, we have to disable security after cluster formation so that
the license can be retrieved.
relates elastic/x-pack-elasticsearch#4078
Original commit: elastic/x-pack-elasticsearch@96bdb889fc
Up to now a job update that reduces the model memory limit
was not allowed. However, there could definitely be cases
where reducing the limit is necessary and reasonable.
This commit makes it possible to decrease the limit as long
as it does not go below the current memory usage. We obtain
the latter from the model size stats.
The conditions under which updating the model_memory_limit
is not allowed are now:
- when the job is open
- latest model_size_stats.model_bytes < new value
relates elastic/x-pack-elasticsearch#2461
Original commit: elastic/x-pack-elasticsearch@5b35923590
Since elastic/x-pack-elasticsearch#3254 security headers have been stored in datafeed cluster state
to allow the datafeed to run searches using the credentials of the user
who created/updated it. As a result the parser was changed to read the
"headers" field so that cluster state could be reloaded. However, this
meant that datafeed configs could be submitted with a "headers" field.
No security loophole arose from this, as subsequent code overwrites the
contents of any supplied headers. But it could be confusing that an
erroneously supplied field did not cause a parse failure as it usually
would.
This change makes the config parser for datafeeds reject a "headers"
field. Now only the metadata parser used for reloading cluster state
will read a "headers" field.
Original commit: elastic/x-pack-elasticsearch@afa503275f
In order to more easily integrate xpack once it moves into the
elasticsearch repo, references to the existing x-pack-elasticsearch need
to be reduced. This commit introduces a few helper "methods" available
to any project within xpack (through gradle project extension
properties, as closures). All refeerences to project paths now use these
helper methods, except for those pertaining to bwc, which will be
handled in a followup.
Original commit: elastic/x-pack-elasticsearch@850668744c
Also, removes check for whether a job-to-remove exists
and replaces it with a check of whether a job-to-remove
is already present in the calendar. This allows to
remove a job that may no longer exists and it improves
feedback for the case that an existing job is removed from
a calendar that doesn't contain it.
relates elastic/x-pack-elasticsearch#3620
Original commit: elastic/x-pack-elasticsearch@3ea39be1b6
By moving tokenization for categorization to Java we give users access to considerably more options for tokenizing their log messages prior to using ML to categorize them. Now all Elasticsearch analyzer functionality is available, which opens up the possibility to sensibly categorize non-English log messages.
Relates elastic/machine-learning-cpp#491
Original commit: elastic/x-pack-elasticsearch@5d61b67614
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
The changes made for elastic/x-pack-elasticsearch#2369 showed that the ML security tests were seriously
weakened by the decision to grant many "minimal" privileges to all users
involved in the tests. A better solution is to override the auth header
such that a superuser runs setup actions and assertions that work by
querying raw documents in ways that an end user wouldn't. Then the ML
endpoints can be called with the privileges provided by the ML roles and
nothing else.
Original commit: elastic/x-pack-elasticsearch@4de42d9e54
This is related to elastic/x-pack-elasticsearch#1217. This PR removes the default password of
"changeme" from the reserved users.
This PR adds special behavior for authenticating the reserved users. No
ReservedRealm user can be authenticated until its password is set. The
one exception to this is the elastic user. The elastic user can be
authenticated with an empty password if the action is a rest request
originating from localhost. In this scenario where an elastic user is
authenticated with a default password, it will have metadata indicating
that it is in setup mode. An elastic user in setup mode is only
authorized to execute a change password request.
Original commit: elastic/x-pack-elasticsearch@e1e101a237
In does not make sense for the time_field in the data_description to
be used as a by/over/partition field name, nor the summary_count_field,
categorization_field or as an influencer. Therefore, configurations
where the time_field in the data_description is used in the
analysis_config are now rejected.
Additionally, it causes a problem communicating with the C++ code if
the control field name (which is '.') is used in the analysis_config,
so this is also rejected at the validation stage.
Relates elastic/x-pack-elasticsearch#1684
Original commit: elastic/x-pack-elasticsearch@e6750a2cda
* [ML] Not an error to close a job twice
* Error if job is opening
* Address review comments
* Test closed job isn’t resolved
Original commit: elastic/x-pack-elasticsearch@7da7b24c08
We didn't realise it was possible for a qa module to depend on the
test classes of the plugin module, so we duplicated a test class.
But it turns out it IS possible to declare this dependency and avoid
the duplication.
Original commit: elastic/x-pack-elasticsearch@b6a21cda28
Previously force closing a job required extra privileges. Following
the full discussion about what privileges should be required.
Original commit: elastic/x-pack-elasticsearch@4d85314b35
* Changed ML action names to allow distinguishing of admin and read-only actions
using wildcards
* Added manage_ml and monitor_ml built-in privileges as subsets of the existing
manage and monitor privileges
* Added out-of-the-box machine_learning_admin and machine_learning_user roles
* Changed machine learning results endpoints to use a NodeClient rather than an
InternalClient when searching for results so that index/document level permissions
applied to ML results are respected
Original commit: elastic/x-pack-elasticsearch@eee800aaa8
Jay Modi
Dimitris Athanasiou
Tim Brooks
David Roberts
Ryan Ernst
Michael Basnight
David Kyle
Martijn van Groningen