Commit Graph

54 Commits

Author SHA1 Message Date
Przemysław Witek 283a1f605c
Rename binary_soft_classification evaluation to outlier_detection (#59951) (#59970) 2020-07-21 15:15:04 +02:00
Albert Zaharovits 4eb310c777
Disallow mapping updates for doc ingestion privileges (#58784)
The `create_doc`, `create`, `write` and `index` privileges do not grant
the PutMapping action anymore. Apart from the `write` privilege, the other
three privileges also do NOT grant (auto) updating the mapping when ingesting
a document with unmapped fields, according to the templates.

In order to maintain the BWC in the 7.x releases, the above privileges will still grant
the Put and AutoPutMapping actions, but only when the "index" entity is an alias
or a concrete index, but not a data stream or a backing index of a data stream.
2020-07-14 23:39:41 +03:00
David Kyle 0d2ea1b881
Check for ml privilege when using the Inference Aggregation (#59530) (#59562)
The inference pipeline aggregation requires the user has permission to access
the ml get trained models endpoint (_ml/inference/)
2020-07-14 20:53:40 +01:00
Jake Landis 604c6dd528
7.x - Create plugin for yamlTest task (#56841) (#59090)
This commit creates a new Gradle plugin to provide a separate task name
and source set for running YAML based REST tests. The only project
converted to use the new plugin in this PR is distribution/archives/integ-test-zip.
For which the testing has been moved to :rest-api-spec since it makes the most
sense and it avoids a small but awkward change to the distribution plugin.

The remaining cases in modules, plugins, and x-pack will be handled in followups.

This plugin is distinctly different from the plugin introduced in #55896 since
the YAML REST tests are intended to be black box tests over HTTP. As such they
should not (by default) have access to the classpath for that which they are testing.

The YAML based REST tests will be moved to separate source sets (yamlRestTest).
The which source is the target for the test resources is dependent on if this
new plugin is applied. If it is not applied, it will default to the test source
set.

Further, this introduces a breaking change for plugin developers that
use the YAML testing framework. They will now need to either use the new source set
and matching task, or configure the rest resources to use the old "test" source set that
matches the old integTest task. (The former should be preferred).

As part of this change (which is also breaking for plugin developers) the
rest resources plugin has been removed from the build plugin and now requires
either explicit application or application via the new YAML REST test plugin.

Plugin developers should be able to fix the breaking changes to the YAML tests
by adding apply plugin: 'elasticsearch.yaml-rest-test' and moving the YAML tests
under a yamlRestTest folder (instead of test)
2020-07-06 14:16:26 -05:00
David Kyle f6a0c2c59d
[7.x] Pipeline Inference Aggregation (#58965)
Adds a pipeline aggregation that loads a model and performs inference on the
input aggregation results.
2020-07-03 09:29:04 +01:00
Rene Groeschke 01e9126588
Remove deprecated usage of testCompile configuration (#57921) (#58083)
* Remove usage of deprecated testCompile configuration
* Replace testCompile usage by testImplementation
* Make testImplementation non transitive by default (as we did for testCompile)
* Update CONTRIBUTING about using testImplementation for test dependencies
* Fail on testCompile configuration usage
2020-06-14 22:30:44 +02:00
David Roberts 7aa0daaabd
[7.x][ML] More advanced model snapshot retention options (#56194)
This PR implements the following changes to make ML model snapshot
retention more flexible in advance of adding a UI for the feature in
an upcoming release.

- The default for `model_snapshot_retention_days` for new jobs is now
  10 instead of 1
- There is a new job setting, `daily_model_snapshot_retention_after_days`,
  that defaults to 1 for new jobs and `model_snapshot_retention_days`
  for pre-7.8 jobs
- For days that are older than `model_snapshot_retention_days`, all
  model snapshots are deleted as before
- For days that are in between `daily_model_snapshot_retention_after_days`
  and `model_snapshot_retention_days` all but the first model snapshot
  for that day are deleted
- The `retain` setting of model snapshots is still respected to allow
  selected model snapshots to be retained indefinitely

Backport of #56125
2020-05-05 14:31:58 +01:00
Dimitris Athanasiou 75dadb7a6d
[7.x][ML] Add loss_function to regression (#56118) (#56187)
Adds parameters `loss_function` and `loss_function_parameter`
to regression.

Backport of #56118
2020-05-05 14:59:51 +03:00
Martijn van Groningen 6d03081560
Add auto create action (#56122)
Backport of #55858 to 7.x branch.

Currently the TransportBulkAction detects whether an index is missing and
then decides whether it should be auto created. The coordination of the
index creation also happens in the TransportBulkAction on the coordinating node.

This change adds a new transport action that the TransportBulkAction delegates to
if missing indices need to be created. The reasons for this change:

* Auto creation of data streams can't occur on the coordinating node.
Based on the index template (v2) either a regular index or a data stream should be created.
However if the coordinating node is slow in processing cluster state updates then it may be
unaware of the existence of certain index templates, which then can load to the
TransportBulkAction creating an index instead of a data stream. Therefor the coordination of
creating an index or data stream should occur on the master node. See #55377

* From a security perspective it is useful to know whether index creation originates from the
create index api or from auto creating a new index via the bulk or index api. For example
a user would be allowed to auto create an index, but not to use the create index api. The
auto create action will allow security to distinguish these two different patterns of
index creation.
This change adds the following new transport actions:

AutoCreateAction, the TransportBulkAction redirects to this action and this action will actually create the index (instead of the TransportCreateIndexAction). Later via #55377, can improve the AutoCreateAction to also determine whether an index or data stream should be created.

The create_index index privilege is also modified, so that if this permission is granted then a user is also allowed to auto create indices. This change does not yet add an auto_create index privilege. A future change can introduce this new index privilege or modify an existing index / write index privilege.

Relates to #53100
2020-05-04 19:10:09 +02:00
Dimitris Athanasiou d9685a0f19
[7.x][ML] Validate at least one feature is available for DF analytics (#55876) (#55914)
We were previously checking at least one supported field existed
when the _explain API was called. However, in the case of analyses
with required fields (e.g. regression) we were not accounting that
the dependent variable is not a feature and thus if the source index
only contains the dependent variable field there are no features to
train a model on.

This commit adds a validation that at least one feature is available
for analysis. Note that we also move that validation away from
`ExtractedFieldsDetector` and the _explain API and straight into
the _start API. The reason for doing this is to allow the user to use
the _explain API in order to understand why they would be seeing an
error like this one.

For example, the user might be using an index that has fields but
they are of unsupported types. If they start the job and get
an error that there are no features, they will wonder why that is.
Calling the _explain API will show them that all their fields are
unsupported. If the _explain API was failing instead, there would
be no way for the user to understand why all those fields are
ignored.

Closes #55593

Backport of #55876
2020-04-29 11:39:58 +03:00
Benjamin Trent 4a1610265f
[7.x] [ML] add new inference_config field to trained model config (#54421) (#54647)
* [ML] add new inference_config field to trained model config (#54421)

A new field called `inference_config` is now added to the trained model config object. This new field allows for default inference settings from analytics or some external model builder.

The inference processor can still override whatever is set as the default in the trained model config.

* fixing for backport
2020-04-02 12:25:10 -04:00
David Roberts b8f06df53f
[ML] Fix bug, add tests, improve estimates for estimate_model_memory (#54508)
This PR:

1. Fixes the bug where a cardinality estimate of zero could cause
   a 500 status
2. Adds tests for that scenario and a few others
3. Adds sensible estimates for the cases that were previously TODO

Backport of #54462
2020-03-31 17:59:38 +01:00
Dimitris Athanasiou cc981fa377
[7.x][ML] Get ML filters size should default to 100 (#54207) (#54278)
When get filters is called without setting the `size`
paramter only up to 10 filters are returned. However,
100 filters should be returned. This commit fixes this
and adds an integ test to guard it.

It seems this was accidentally broken in #39976.

Closes #54206

Backport of #54207
2020-03-26 17:51:43 +02:00
Jake Landis db3420d757
[7.x] Optimize which Rest resources are used by the Rest tests… (#53766)
This should help with Gradle's incremental compile such that projects
only depend upon the resources they use.

related #52114
2020-03-19 12:28:59 -05:00
Benjamin Trent 4e43ede735
[ML] renaming inference processor field field_mappings to new name field_map (#53433) (#53502)
This renames the `inference` processor configuration field `field_mappings` to `field_map`.

`field_mappings` is now deprecated.
2020-03-13 15:40:57 -04:00
Dimitris Athanasiou 0fd0516d0d
[7.x][ML] Rename data frame analytics maximum_number_trees to max_trees (#53300) (#53390)
Deprecates `maximum_number_trees` parameter of classification and
regression and replaces it with `max_trees`.

Backport of #53300
2020-03-11 12:45:27 +02:00
Jake Landis b4179a8814
[7.x] Refactor watcher tests (#52799) (#52844)
This PR moves the majority of the Watcher REST tests under
the Watcher x-pack plugin.

Specifically, moves the Watcher tests from:
x-pack/plugin/test
x-pack/qa/smoke-test-watcher
x-pack/qa/smoke-test-watcher-with-security
x-pack/qa/smoke-test-monitoring-with-watcher

to:
x-pack/plugin/watcher/qa/rest (/test and /qa/smoke-test-watcher)
x-pack/plugin/watcher/qa/with-security
x-pack/plugin/watcher/qa/with-monitoring

Additionally, this disables Watcher from the main
x-pack test cluster and consolidates the stop/start logic
for the tests listed.

No changes to the tests (beyond moving them) are included.

3rd party tests and doc tests (which also touch Watcher)
are not included in the changes here.
2020-02-26 15:57:10 -06:00
Jake Landis 8d311297ca
[7.x] Smarter copying of the rest specs and tests (#52114) (#52798)
* Smarter copying of the rest specs and tests (#52114)

This PR addresses the unnecessary copying of the rest specs and allows
for better semantics for which specs and tests are copied. By default
the rest specs will get copied if the project applies
`elasticsearch.standalone-rest-test` or `esplugin` and the project
has rest tests or you configure the custom extension `restResources`.

This PR also removes the need for dozens of places where the x-pack
specs were copied by supporting copying of the x-pack rest specs too.

The plugin/task introduced here can also copy the rest tests to the
local project through a similar configuration.

The new plugin/task allows a user to minimize the surface area of
which rest specs are copied. Per project can be configured to include
only a subset of the specs (or tests). Configuring a project to only
copy the specs when actually needed should help with build cache hit
rates since we can better define what is actually in use.
However, project level optimizations for build cache hit rates are
not included with this PR.

Also, with this PR you can no longer use the includePackaged flag on
integTest task.

The following items are included in this PR:
* new plugin: `elasticsearch.rest-resources`
* new tasks: CopyRestApiTask and CopyRestTestsTask - performs the copy
* new extension 'restResources'
```
restResources {
  restApi {
    includeCore 'foo' , 'bar' //will include the core specs that start with foo and bar
    includeXpack 'baz' //will include x-pack specs that start with baz
  }
  restTests {
    includeCore 'foo', 'bar' //will include the core tests that start with foo and bar
    includeXpack 'baz' //will include the x-pack tests that start with baz
  }
}

```
2020-02-26 08:13:41 -06:00
David Kyle 7bbe5c8464
[Ml] Validate tree feature index is within range (#52514)
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
2020-02-19 14:41:43 +00:00
Benjamin Trent fc994d9ce1
[ML][Inference] Adds validations for model PUT (#51376) (#51409)
Adds validations making sure that

* `input.field_names` is not empty
* `ensemble.trained_models` is not empty
* `tree.feature_names` is not empty

closes https://github.com/elastic/elasticsearch/issues/51354
2020-01-24 09:29:12 -05:00
Benjamin Trent fa116a6d26
[7.x] [ML][Inference] PUT API (#50852) (#50887)
* [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
2020-01-12 10:59:11 -05:00
Dimitris Athanasiou 422422a2bc
[7.x][ML] Reuse SourceDestValidator for data frame analytics (#50841) (#50850)
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
2020-01-10 14:24:13 +02:00
Dimitris Athanasiou 4edb2e7bb6
[7.x][ML] Add optional source filtering during data frame reindexing (#49690) (#49718)
This adds a `_source` setting under the `source` setting of a data
frame analytics config. The new `_source` is reusing the structure
of a `FetchSourceContext` like `analyzed_fields` does. Specifying
includes and excludes for source allows selecting which fields
will get reindexed and will be available in the destination index.

Closes #49531

Backport of #49690
2019-11-29 16:10:44 +02:00
Dimitris Athanasiou 8eaee7cbdc
[7.x][ML] Explain data frame analytics API (#49455) (#49504)
This commit replaces the _estimate_memory_usage API with
a new API, the _explain API.

The API consolidates information that is useful before
creating a data frame analytics job.

It includes:

- memory estimation
- field selection explanation

Memory estimation is moved here from what was previously
calculated in the _estimate_memory_usage API.

Field selection is a new feature that explains to the user
whether each available field was selected to be included or
not in the analysis. In the case it was not included, it also
explains the reason why.

Backport of #49455
2019-11-22 22:06:10 +02:00
Benjamin Trent eefe7688ce
[7.x][ML] ML Model Inference Ingest Processor (#49052) (#49257)
* [ML] ML Model Inference Ingest Processor (#49052)

* [ML][Inference] adds lazy model loader and inference (#47410)

This adds a couple of things:

- A model loader service that is accessible via transport calls. This service will load in models and cache them. They will stay loaded until a processor no longer references them
- A Model class and its first sub-class LocalModel. Used to cache model information and run inference.
- Transport action and handler for requests to infer against a local model
Related Feature PRs:

* [ML][Inference] Adjust inference configuration option API (#47812)

* [ML][Inference] adds logistic_regression output aggregator (#48075)

* [ML][Inference] Adding read/del trained models (#47882)

* [ML][Inference] Adding inference ingest processor (#47859)

* [ML][Inference] fixing classification inference for ensemble (#48463)

* [ML][Inference] Adding model memory estimations (#48323)

* [ML][Inference] adding more options to inference processor (#48545)

* [ML][Inference] handle string values better in feature extraction (#48584)

* [ML][Inference] Adding _stats endpoint for inference (#48492)

* [ML][Inference] add inference processors and trained models to usage (#47869)

* [ML][Inference] add new flag for optionally including model definition (#48718)

* [ML][Inference] adding license checks (#49056)

* [ML][Inference] Adding memory and compute estimates to inference (#48955)

* fixing version of indexed docs for model inference
2019-11-18 13:19:17 -05:00
Przemysław Witek 150db2b544
Throw an exception when memory usage estimation endpoint encounters empty data frame. (#49143) (#49164) 2019-11-18 07:52:57 +01:00
Rory Hunter c46a0e8708
Apply 2-space indent to all gradle scripts (#49071)
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
2019-11-14 11:01:23 +00:00
Dimitris Athanasiou 7667ea5f6f
[7.x][ML] Additional outlier detection parameters (#47600) (#47669)
Adds the following parameters to `outlier_detection`:

- `compute_feature_influence` (boolean): whether to compute or not
   feature influence scores
- `outlier_fraction` (double): the proportion of the data set assumed
   to be outlying prior to running outlier detection
- `standardization_enabled` (boolean): whether to apply standardization
   to the feature values

Backport of #47600
2019-10-07 18:21:33 +03:00
Przemysław Witek ee952da2e2
[7.x] Implement evaluation API for multiclass classification problem (#47126) (#47343) 2019-10-04 17:54:51 +02:00
Przemysław Witek ec9b77deaa
[7.x] Implement new analysis type: classification (#46537) (#47559) 2019-10-04 13:47:19 +02:00
Dimitris Athanasiou 873ad3f942
[7.x][ML] Add option to regression to randomize training set (#45969) (#46017)
Adds a parameter `training_percent` to regression. The default
value is `100`. When the parameter is set to a value less than `100`,
from the rows that can be used for training (ie. those that have a
value for the dependent variable) we randomly choose whether to actually
use for training. This enables splitting the data into a training set and
the rest, usually called testing, validation or holdout set, which allows
for validating the model on data that have not been used for training.

Technically, the analytics process considers as training the data that
have a value for the dependent variable. Thus, when we decide a training
row is not going to be used for training, we simply clear the row's
dependent variable.
2019-08-27 17:53:11 +03:00
Benjamin Trent a3a4ae0ac2
[ML] fixing bug where analytics process starts with 0 rows (#45879) (#45988)
The native process requires that there be a non-zero number of rows to analyze. If the flag --rows 0 is passed to the executable, it throws and does not start.

When building the configuration for the process we should not start the native process if there are no rows.

Adding some logging to indicate what is occurring.
2019-08-26 14:18:17 -05:00
Benjamin Trent ba7b677618
[ML] better handle empty results when evaluating regression (#45745) (#45759)
* [ML] better handle empty results when evaluating regression

* adding new failure test to ml_security black list

* fixing equality check for regression results
2019-08-20 17:37:04 -05:00
Przemysław Witek 1aed388a24
Add view_index_metadata to roles.yml and remove as many df analytics test cases from build.gradle blacklist as possible. (#45451) (#45465) 2019-08-13 08:31:58 +02:00
Dimitris Athanasiou 27497ff75f
[7.x][ML] Add regression analysis to DF analytics (#45292) (#45388)
This commit adds a first draft of a regression analysis
to data frame analytics. There is high probability that
the exact syntax might change.

This commit adds the new analysis type and its parameters as
well as appropriate validation. It also modifies the extractor
and the fields detector to be able to handle categorical fields
as regression analysis supports them.
2019-08-09 19:31:13 +03:00
Dimitris Athanasiou 8a6675b994
[7.x][ML] Check dest index is empty when starting DF analytics (#45094) (#45112)
If one tries to start a DF analytics job that has already run,
the result will be that the task will fail after reindexing the
dest index from the source index. The results of the prior run
will be gone and the task state is not properly set to failed
with the failure reason.

This commit improves the behavior in this scenario. First, we
set the task state to `failed` in a set of failures that were
missed. Second, a validation is added that if the destination
index exists, it must be empty.
2019-08-02 00:19:48 +03:00
Andrei Stefan 2633d11eb7
Switch from using docvalue_fields to extracting values from _source (#44062) (#44804)
* Switch from using docvalue_fields to extracting values from _source
where applicable. Doing this means parsing the _source and handling the
numbers parsing just like Elasticsearch is doing it when it's indexing
a document.
* This also introduces a minor limitation: aliases type of fields that
are NOT part of a tree of sub-fields will not be able to be retrieved
anymore. field_caps API doesn't shed any light into a field being an
alias or not and at _source parsing time there is no way to know if a
root field is an alias or not. Fields of the type "a.b.c.alias" can be
extracted from docvalue_fields, only if the field they point to can be
extracted from docvalue_fields. Also, not all fields in a hierarchy of
fields can be evaluated to being an alias.

(cherry picked from commit 8bf8a055e38f00df5f49c8d97f632f69d6e00c2c)
2019-07-25 10:02:41 +03:00
Ryan Ernst 7e06888bae
Convert testclusters to use distro download plugin (#44253) (#44362)
Test clusters currently has its own set of logic for dealing with
finding different versions of Elasticsearch, downloading them, and
extracting them. This commit converts testclusters to use the
DistributionDownloadPlugin.
2019-07-15 17:53:05 -07:00
Benjamin Trent c82d9c5b50
[ML] Adds support for regression.mean_squared_error to eval API (#44140) (#44218)
* [ML] Adds support for regression.mean_squared_error to eval API

* addressing PR comments

* fixing tests
2019-07-11 09:22:52 -05:00
Dimitris Athanasiou cab879118d
[7.x][ML] Support multiple source indices for df-analytics (#43702) (#43731)
This commit adds support for multiple source indices.
In order to deal with multiple indices having different mappings,
it attempts a best-effort approach to merge the mappings assuming
there are no conflicts. In case conflicts exists an error will be
returned.

To allow users creating custom mappings for special use cases,
the destination index is now allowed to exist before the analytics
job runs. In addition, settings are no longer copied except for
the `index.number_of_shards` and `index.number_of_replicas`.
2019-06-28 13:28:03 +03:00
Przemysław Witek 94f18da5df
Add version and create_time to data frame analytics config (#43683) (#43712) 2019-06-28 07:37:21 +02:00
Dimitris Athanasiou 126c2fd2d5
[7.x][ML] Machine learning data frame analytics (#43544) (#43592)
This merges the initial work that adds a framework for performing
machine learning analytics on data frames. The feature is currently experimental
and requires a platinum license. Note that the original commits can be
found in the `feature-ml-data-frame-analytics` branch.

A new set of APIs is added which allows the creation of data frame analytics
jobs. Configuration allows specifying different types of analysis to be performed
on a data frame. At first there is support for outlier detection.

The APIs are:

- PUT _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}
- GET _ml/data_frame/analysis/{id}/_stats
- POST _ml/data_frame/analysis/{id}/_start
- POST _ml/data_frame/analysis/{id}/_stop
- DELETE _ml/data_frame/analysis/{id}

When a data frame analytics job is started a persistent task is created and started.
The main steps of the task are:

1. reindex the source index into the dest index
2. analyze the data through the data_frame_analyzer c++ process
3. merge the results of the process back into the destination index

In addition, an evaluation API is added which packages commonly used metrics
that provide evaluation of various analysis:

- POST _ml/data_frame/_evaluate
2019-06-25 20:29:11 +03:00
Alpar Torok 94930d0e84 Testclusters: convert ml qa tests (#43229)
* Testclusters: convert ml qa tests

This PR converts the ML tests to use testclusters.
2019-06-18 11:55:11 +03:00
Dimitris Athanasiou 76a92b49a8
[ML] Get resources action should be lenient when sort field is unmapped (#42991) (#43046)
Get resources action sorts on the resource id. When there are no resources at
all, then it is possible the index does not contain a mapping for the resource
id field. In that case, the search api fails by default.

This commit adjusts the search request to ignore unmapped fields.

Closes elastic/kibana#37870
2019-06-10 19:50:19 +03:00
Mark Vieira e44b8b1e2e
[Backport] Remove dependency substitutions 7.x (#42866)
* Remove unnecessary usage of Gradle dependency substitution rules (#42773)

(cherry picked from commit 12d583dbf6f7d44f00aa365e34fc7e937c3c61f7)
2019-06-04 13:50:23 -07:00
Przemysław Witek f5014ace64
[ML] Add validation that rejects duplicate detectors in PutJobAction (#40967) (#41072)
* [ML] Add validation that rejects duplicate detectors in PutJobAction

Closes #39704

* Add YML integration test for duplicate detectors fix.

* Use "== false" comparison rather than "!" operator.

* Refine error message to sound more natural.

* Put job description in square brackets in the error message.

* Use the new validation in ValidateJobConfigAction.

* Exclude YML tests for new validation from permission tests.
2019-04-10 15:43:35 +02:00
Martijn Laarman 9b4d96534b
Fix #38623 remove xpack namespace REST API (#38625) (#39036)
* Fix #38623 remove xpack namespace REST API

Except for xpack.usage and xpack.info API's, this moves the last remaining API's out of the xpack namespace

* rename xpack api's inside inside the files as well

* updated yaml tests references to xpack namespaces api's

* update callsApi calls in the IT subclasses

* make sure docs testing does not use xpack namespaced api's

* fix leftover xpack namespaced method names in docs/build.gradle

* found another leftover reference

(cherry picked from commit ccb5d934363c37506b76119ac050a254fa80b5e7)
2019-02-18 12:40:07 +01:00
Benjamin Trent 7e4c0e6991
ML: Adds set_upgrade_mode API endpoint (#37837)
* ML: Add MlMetadata.upgrade_mode and API

* Adding tests

* Adding wait conditionals for the upgrade_mode call to return

* Adding tests

* adjusting format and tests

* Adjusting wait conditions for api return and msgs

* adjusting doc tests

* adding upgrade mode tests to black list
2019-01-28 09:07:30 -06:00
Benjamin Trent 9e932f4869
ML: removing unnecessary upgrade code (#37879) 2019-01-25 13:57:41 -06:00
Benjamin Trent df3b58cb04
ML: add migrate anomalies assistant (#36643)
* ML: add migrate anomalies assistant

* adjusting failure handling for reindex

* Fixing request and tests

* Adding tests to blacklist

* adjusting test

* test fix: posting data directly to the job instead of relying on datafeed

* adjusting API usage

* adding Todos and adjusting endpoint

* Adding types to reindexRequest

* removing unreliable "live" data test

* adding index refresh to test

* adding index refresh to test

* adding index refresh to yaml test

* fixing bad exists call

* removing todo

* Addressing remove comments

* Adjusting rest endpoint name

* making service have its own logger

* adjusting validity check for newindex names

* fixing typos

* fixing renaming
2019-01-09 14:25:35 -06:00