When `PUT` is called to store a trained model, it is useful to return the newly create model config. But, it is NOT useful to return the inflated definition.
These definitions can be large and returning the inflated definition causes undo work on the server and client side.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
This commit updates the enrich.get_policy API to specify name
as a list, in line with other URL parts that accept a comma-separated
list of values.
In addition, update the get enrich policy API docs
to align the URL part name in the documentation with
the name used in the REST API specs.
(cherry picked from commit 94f6f946ef283dc93040e052b4676c5bc37f4bde)
This changes the tree validation code to ensure no node in the tree has a
feature index that is beyond the bounds of the feature_names array.
Specifically this handles the situation where the C++ emits a tree containing
a single node and an empty feature_names list. This is valid tree used to
centre the data in the ensemble but the validation code would reject this
as feature_names is empty. This meant a broken workflow as you cannot GET
the model and PUT it back
The `top_metrics` agg is kind of like `top_hits` but it only works on
doc values so it *should* be faster.
At this point it is fairly limited in that it only supports a single,
numeric sort and a single, numeric metric. And it only fetches the "very
topest" document worth of metric. We plan to support returning a
configurable number of top metrics, requesting more than one metric and
more than one sort. And, eventually, non-numeric sorts and metrics. The
trick is doing those things fairly efficiently.
Co-Authored by: Zachary Tong <zach@elastic.co>
ML mappings and index templates have so far been created
programmatically. While this had its merits due to static typing,
there is consensus it would be clear to maintain those in json files.
In addition, we are going to adding ILM policies to these indices
and the component for a plugin to register ILM policies is
`IndexTemplateRegistry`. It expects the templates to be in resource
json files.
For the above reasons this commit refactors ML mappings and index
templates into json resource files that are registered via
`MlIndexTemplateRegistry`.
Backport of #51765
Changes the misleading error message when attempting to open
a job while the "cluster.persistent_tasks.allocation.enable"
setting is set to "none" to a clearer message that names the
setting.
Closes#51956
This change adds support for the following new model_size_stats
fields:
- categorized_doc_count
- total_category_count
- frequent_category_count
- rare_category_count
- dead_category_count
- categorization_status
Backport of #51879
The main purpose of this commit is to add a single autoscaling REST
endpoint skeleton, for the purpose of starting to build out the build
and testing infrastructure that will surround it. For example, rather
than commiting a fully-functioning autoscaling API, we introduce here
the skeleton so that we can start wiring up the build and testing
infrastructure, establish security roles/permissions, an so on. This
way, in a forthcoming PR that introduces actual functionality, that PR
will be smaller and have less distractions around that sort of
infrastructure.
Not all clients support this e.g if the java high level rest client were
to map this it would look like `client.cat().ml().api()` which hinders
discoverability.
(cherry picked from commit 21cdabf09dc8305ce2f5e3b6cb193f67137d8bdb)
* [DOCS] Align with ILM API docs (#48705)
* [DOCS] Reconciled with Snapshot/Restore reorg
* [DOCS] Split off ILM overview to a separate topic. (#51287)
* [DOCS} Split off overview to a separate topic.
* [DOCS] Incorporated feedback from @jrodewig.
* [DOCS] Edit ILM GS tutorial (#51513)
* [DOCS] Edit ILM GS tutorial
* [DOCS] Incorporated review feedback from @andreidan.
* [DOCS] Removed test link & fixed anchor & title.
* Update docs/reference/ilm/getting-started-ilm.asciidoc
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
* Fixed glossary merge error.
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* REST: Test: Fix the `accept_enterprise` parameter for Get License API (#51527)
The Get License API specifies the `accept_enterprise` parameter as a `boolean`:
0ca5cb8cb6/x-pack/plugin/src/test/resources/rest-api-spec/api/license.get.json (L22-L27)
In the test, a `string` is passed however, which makes the test compilation fail in the Go client.
(cherry picked from commit e2a2169b3d44592057c143253bb56375ed3e4268)
* Fix the SQL API documentation in REST specification (#51534)
This patch fixes the SQL REST API documentation to conform to the current schema.
(cherry picked from commit c8b6a849852699883086a6ada42279f2f68d7e07)
* Fix the "slices" parameter for the Delete By Query API in the REST specification (#51535)
This patch updates the `type` parameter in the Delete By Query API: according to
[the documentation](https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-delete-by-query.html#docs-delete-by-query-slice),
it can be set to "auto", but the type in the documentation allows only numerical values.
This prevents people from setting the parameter to "auto" eg. in the Go client,
which generates source from the specification, and sets the corresponding Go
type as number.
The patch uses the `|` notation, which we have discussed previously for encoding
a "polymorphic" parameter like this.
Related: https://github.com/elastic/go-elasticsearch/issues/77
* Fix the Enrich API documentation in REST specification (#51528)
This patch fixes the REST API documentation for the Enrich APIs to conform to the current schema.
(cherry picked from commit 59f28f4f2feeba3f6d2f0b632410577eacb28121)
This adds logic to handle paging problems when the ID pattern + tags reference models stored as resources.
Most of the complexity comes from the issue where a model stored as a resource could be at the start, or the end of a page or when we are on the last page.
This commit creates a new index privilege named `maintenance`.
The privilege grants the following actions: `refresh`, `flush` (also synced-`flush`),
and `force-merge`. Previously the actions were only under the `manage` privilege
which in some situations was too permissive.
Co-authored-by: Amir H Movahed <arhd83@gmail.com>
This PR tries to address the intermittent vector test failures on 7.x by making
sure we create indices with one shard.
The fix is based on this theory as to what's happening:
* On 7.x, the default number of shards is 1, but in REST tests we randomly use
2 in order to cover the multiple shards case. In the failing test run, we use 2
shards and all documents end up on only one shard.
* During a search, the response from the empty shard doesn't produce
deprecation warnings because we never try to execute the script. If not all
shard responses contain the warning headers, then certain deprecation warnings
can be lost (due to the bug described in #33936).
Addresses #50716.
Relates to #50061.
This commit deprecates the creation of dot-prefixed index names (e.g.
.watches) unless they are either 1) a hidden index, or 2) registered by
a plugin that extends SystemIndexPlugin. This is the first step
towards more thorough protections for system indices.
This commit also modifies several plugins which use dot-prefixed indices
to register indices they own as system indices, and adds a plugin to
register .tasks as a system index.
* [ML][Inference] add tags url param to GET (#51330)
Adds a new URL parameter, `tags` to the GET _ml/inference/<model_id> endpoint.
This parameter allows the list of models to be further reduced to those who contain all the provided tags.
Data frame analytics classification currently only supports 2 classes for the
dependent variable. We were checking that the field's cardinality is not higher
than 2 but we should also check it is not less than that as otherwise the process
fails.
Backport of #51232
This replaces the message we return for unknown queries with the standard
one that we use for unknown fields from `ObjectParser`. This is nice
because it includes "did you mean". One day we might convert parsing
queries to using object parser, but that looks complex. This change is
much smaller and seems useful.
Knowing about used analysis components and mapping types would be incredibly
useful in order to know which ones may be deprecated or should get more love.
Some field types also act as a proxy to know about feature usage of some APIs
like the `percolator` or `completion` fields types for percolation and the
completion suggester, respectively.
Check it out:
```
$ curl -u elastic:password -HContent-Type:application/json -XPOST localhost:9200/test/_update/foo?pretty -d'{
"dac": {}
}'
{
"error" : {
"root_cause" : [
{
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
}
],
"type" : "x_content_parse_exception",
"reason" : "[2:3] [UpdateRequest] unknown field [dac] did you mean [doc]?"
},
"status" : 400
}
```
The tricky thing about implementing this is that x-content doesn't
depend on Lucene. So this works by creating an extension point for the
error message using SPI. Elasticsearch's server module provides the
"spell checking" implementation.
s
The enterprise license type must have "max_resource_units" and may not
have "max_nodes".
This change adds support for this new field, validation that the field
is present if-and-only-if the license is enterprise and bumps the
license version number to reflect the new field.
Includes a BWC layer to return "max_nodes: ${max_resource_units}" in
the GET license API.
Backport of: #50735
* [ML][Inference] PUT API (#50852)
This adds the `PUT` API for creating trained models that support our format.
This includes
* HLRC change for the API
* API creation
* Validations of model format and call
* fixing backport
This commit removes validation logic of source and dest indices
for data frame analytics and replaces it with using the common
`SourceDestValidator` class which is already used by transforms.
This way the validations and their messages become consistent
while we reduce code.
This means that where these validations fail the error messages
will be slightly different for data frame analytics.
Backport of #50841
If a pipeline referenced by a transform does not exist, we should not allow the transform to be created.
We do allow the pipeline existence check to be skipped with defer_validations, but if the pipeline still does not exist on `_start`, the pipeline will fail to start.
relates: #50135
Lisa Cawley
Przemysław Witek
Benjamin Trent
Russ Cam
Ryan Ernst
David Kyle
Hendrik Muhs
Henning Andersen
Nik Everett
Dimitris Athanasiou
Marios Trivyzas
Julie Tibshirani
James Rodewig
David Roberts
Igor Motov
Ignacio Vera
Jason Tedor
Martijn Laarman
Adrien Grand
debadair
Jonathan Budzenski
Karel Minarik
Albert Zaharovits
Gordon Brown
Aleksandr Maus
Tomas Della Vedova
Tim Vernum