This commit adjusts the aliases used for the ILM and SLM history indices
to be hidden aliases.
Also tweaks the configuration of the `IndexTemplateRegistry`s used by
these history system to only upgrade the template from the master node,
as documents are indexed from the master node, so the template version
should only be upgraded from the master node.
* New wildcard field optimised for wildcard queries (#49993)
Indexes values using size 3 ngrams and also stores the full original as a binary doc value.
Wildcard queries operate by using a cheap approximation query on the ngram field followed up by a more expensive verification query using an automaton on the binary doc values. Also supports aggregations and sorting.
This change introduces a new API in x-pack basic that allows to track the progress of a search.
Users can submit an asynchronous search through a new endpoint called `_async_search` that
works exactly the same as the `_search` endpoint but instead of blocking and returning the final response when available, it returns a response after a provided `wait_for_completion` time.
````
GET my_index_pattern*/_async_search?wait_for_completion=100ms
{
"aggs": {
"date_histogram": {
"field": "@timestamp",
"fixed_interval": "1h"
}
}
}
````
If after 100ms the final response is not available, a `partial_response` is included in the body:
````
{
"id": "9N3J1m4BgyzUDzqgC15b",
"version": 1,
"is_running": true,
"is_partial": true,
"response": {
"_shards": {
"total": 100,
"successful": 5,
"failed": 0
},
"total_hits": {
"value": 1653433,
"relation": "eq"
},
"aggs": {
...
}
}
}
````
The partial response contains the total number of requested shards, the number of shards that successfully returned and the number of shards that failed.
It also contains the total hits as well as partial aggregations computed from the successful shards.
To continue to monitor the progress of the search users can call the get `_async_search` API like the following:
````
GET _async_search/9N3J1m4BgyzUDzqgC15b/?wait_for_completion=100ms
````
That returns a new response that can contain the same partial response than the previous call if the search didn't progress, in such case the returned `version`
should be the same. If new partial results are available, the version is incremented and the `partial_response` contains the updated progress.
Finally if the response is fully available while or after waiting for completion, the `partial_response` is replaced by a `response` section that contains the usual _search response:
````
{
"id": "9N3J1m4BgyzUDzqgC15b",
"version": 10,
"is_running": false,
"response": {
"is_partial": false,
...
}
}
````
Asynchronous search are stored in a restricted index called `.async-search` if they survive (still running) after the initial submit. Each request has a keep alive that defaults to 5 days but this value can be changed/updated any time:
`````
GET my_index_pattern*/_async_search?wait_for_completion=100ms&keep_alive=10d
`````
The default can be changed when submitting the search, the example above raises the default value for the search to `10d`.
`````
GET _async_search/9N3J1m4BgyzUDzqgC15b/?wait_for_completion=100ms&keep_alive=10d
`````
The time to live for a specific search can be extended when getting the progress/result. In the example above we extend the keep alive to 10 more days.
A background service that runs only on the node that holds the first primary shard of the `async-search` index is responsible for deleting the expired results. It runs every hour but the expiration is also checked by running queries (if they take longer than the keep_alive) and when getting a result.
Like a normal `_search`, if the http channel that is used to submit a request is closed before getting a response, the search is automatically cancelled. Note that this behavior is only for the submit API, subsequent GET requests will not cancel if they are closed.
Asynchronous search are not persistent, if the coordinator node crashes or is restarted during the search, the asynchronous search will stop. To know if the search is still running or not the response contains a field called `is_running` that indicates if the task is up or not. It is the responsibility of the user to resume an asynchronous search that didn't reach a final response by re-submitting the query. However final responses and failures are persisted in a system index that allows
to retrieve a response even if the task finishes.
````
DELETE _async_search/9N3J1m4BgyzUDzqgC15b
````
The response is also not stored if the initial submit action returns a final response. This allows to not add any overhead to queries that completes within the initial `wait_for_completion`.
The `.async-search` index is a restricted index (should be migrated to a system index in +8.0) that is accessible only through the async search APIs. These APIs also ensure that only the user that submitted the initial query can retrieve or delete the running search. Note that admins/superusers would still be able to cancel the search task through the task manager like any other tasks.
Relates #49091
Co-authored-by: Luca Cavanna <javanna@users.noreply.github.com>
Prepares classification analysis to support more than just
two classes. It introduces a new parameter to the process config
which dictates the `num_classes` to the process. It also
changes the max classes limit to `30` provisionally.
Backport of #53539
Adds a new parameter for classification that enables choosing whether to assign labels to
maximise accuracy or to maximise the minimum class recall.
Fixes#52427.
This change makes it possible to send secondary authentication
credentials to select endpoints that need to perform a single action
in the context of two users.
Typically this need arises when a server process needs to call an
endpoint that users should not (or might not) have direct access to,
but some part of that action must be performed using the logged-in
user's identity.
Backport of: #52093
The setting, `xpack.logstash.enabled`, exists to enable or disable the
logstash extensions found within x-pack. In practice, this setting had
no effect on the functionality of the extension. Given this, the
setting is now deprecated in preparation for removal.
Backport of #53367
The tests in this class had been failing for a while, but went unnoticed as not tested by CI (see #53442).
The reason the tests fail is that the can-match phase is smarter now, and filters out access to a non-existing field.
Closes#53442
Adds a new `default_field_map` field to trained model config objects.
This allows the model creator to supply field map if it knows that there should be some map for inference to work directly against the training data.
The use case internally is having analytics jobs supply a field mapping for multi-field fields. This allows us to use the model "out of the box" on data where we trained on `foo.keyword` but the `_source` only references `foo`.
This is a partial implementation of an endpoint for anomaly
detector model memory estimation.
It is not complete, lacking docs, HLRC and sensible numbers
for many anomaly detector configurations. These will be
added in a followup PR in time for 7.7 feature freeze.
A skeleton endpoint is useful now because it allows work on
the UI side of the change to commence. The skeleton endpoint
handles the same cases that the old UI code used to handle,
and produces very similar estimates for these cases.
Backport of #53333
This avoids NPE when executing SLM policy when no config was provided.
Related to #44465Closes#53171
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
A freeze operation can partially fail in multiple places, including the
close verification step. This left the index in an unfrozen but
partially closed state. Now throw an exception to retry the freeze step
instead.
This commit updates the template used for watch history indices with
the hidden index setting so that new indices will be created as hidden.
Relates #50251
Backport of #52962
This moves the usage statistics gathering from the `AnalyticsPlugin`
into an `AnalyicsUsage`, removing the static state. It also checks the
license level when parsing all analytics aggregations. This is how we
were checking them before but we did it in an easy to forget way. This
way is slightly simpler, I think.
This field is a specialization of the `keyword` field for the case when all
documents have the same value. It typically performs more efficiently than
keywords at query time by figuring out whether all or none of the documents
match at rewrite time, like `term` queries on `_index`.
The name is up for discussion. I liked including `keyword` in it, so that we
still have room for a `singleton_numeric` in the future. However I'm unsure
whether to call it `singleton`, `constant` or something else, any opinions?
For this field there is a choice between
1. accepting values in `_source` when they are equal to the value configured
in mappings, but rejecting mapping updates
2. rejecting values in `_source` but then allowing updates to the value that
is configured in the mapping
This commit implements option 1, so that it is possible to reindex from/to an
index that has the field mapped as a keyword with no changes to the source.
Backport of #49713
Currently _rollup_search requires manage privilege to access. It should really be
a read only operation. This PR changes the requirement to be read indices privilege.
Resolves: #50245
implement transform node attributes to disable transform on certain nodes and
test which nodes are allowed to do remote connections
closes#52200closes#50033closes#48734
backport #52712
Fix NPE when closing a webserver that hasn't started correctly.
This can happen when ssl context isn't initialized. The server instance is then never set,
which causes an NPE that masks the actual failure.
Example stacktrace that would mask an actual failure:
```
java.lang.NullPointerException
at org.elasticsearch.test.http.MockWebServer.close(MockWebServer.java:271)
at org.elasticsearch.xpack.watcher.test.integration.HttpSecretsIntegrationTests.cleanup(HttpSecretsIntegrationTests.java:70)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
```
Adds reporting of memory usage for data frame analytics jobs.
This commit introduces a new index pattern `.ml-stats-*` whose
first concrete index will be `.ml-stats-000001`. This index serves
to store instrumentation information for those jobs.
Backport of #52778 and #52958
When user A runs as user B and performs any API key related operations,
user B's realm should always be used to associate with the API key.
Currently user A's realm is used when getting or invalidating API keys
and owner=true. The PR is to fix this bug.
resolves: #51975
* [ML][Inference] Add support for multi-value leaves to the tree model (#52531)
This adds support for multi-value leaves. This is a prerequisite for multi-class boosted tree classification.
This adds a new configurable field called `indices_options`. This allows users to create or update the indices_options used when a datafeed reads from an index.
This is necessary for the following use cases:
- Reading from frozen indices
- Allowing certain indices in multiple index patterns to not exist yet
These index options are available on datafeed creation and update. Users may specify them as URL parameters or within the configuration object.
closes https://github.com/elastic/elasticsearch/issues/48056
This change removes TrainedModelConfig#isAvailableWithLicense method with calls to
XPackLicenseState#isAllowedByLicense.
Please note there are subtle changes to the code logic. But they are the right changes:
* Instead of Platinum license, Enterprise license nows guarantees availability.
* No explicit check when the license requirement is basic. Since basic license is always available, this check is unnecessary.
* Trial license is always allowed.
Generalize how queries on `_index` are handled at rewrite time (#52486)
Since this change refactors rewrites, I also took it as an opportunity to adrress #49254: instead of returning the same queries you would get on a keyword field when a field is unmapped, queries get rewritten to a MatchNoDocsQueryBuilder.
This change exposed a couple bugs, like the fact that the percolator doesn't rewrite queries at query time, or that the significant_terms aggregation doesn't rewrite its inner filter, which I fixed.
Closes#49254
XPackLicenseState reads to necessary to validate a number of cluster
operations. This reads occasionally occur on transport threads which
should not be blocked. Currently we sychronize when reading. However,
this is unecessary as only a single piece of state is updateable. This
commit makes this state volatile and removes the locking.
When a license expires, or license state changes, functionality might be
disabled. This commit adds messages for CCR to inform users that CCR
functionality will be disabled when a license expires, or when license
state changes to a license level lower than trial/platinum/enterprise.
This adds machine learning model feature importance calculations to the inference processor.
The new flag in the configuration matches the analytics parameter name: `num_top_feature_importance_values`
Example:
```
"inference": {
"field_mappings": {},
"model_id": "my_model",
"inference_config": {
"regression": {
"num_top_feature_importance_values": 3
}
}
}
```
This will write to the document as follows:
```
"inference" : {
"feature_importance" : {
"FlightTimeMin" : -76.90955548511226,
"FlightDelayType" : 114.13514762158526,
"DistanceMiles" : 13.731580450792187
},
"predicted_value" : 108.33165831875137,
"model_id" : "my_model"
}
```
This is done through calculating the [SHAP values](https://arxiv.org/abs/1802.03888).
It requires that models have populated `number_samples` for each tree node. This is not available to models that were created before 7.7.
Additionally, if the inference config is requesting feature_importance, and not all nodes have been upgraded yet, it will not allow the pipeline to be created. This is to safe-guard in a mixed-version environment where only some ingest nodes have been upgraded.
NOTE: the algorithm is a Java port of the one laid out in ml-cpp: https://github.com/elastic/ml-cpp/blob/master/lib/maths/CTreeShapFeatureImportance.cc
usability blocked by: https://github.com/elastic/ml-cpp/pull/991
This commit modifies the codebase so that our production code uses a
single instance of the IndexNameExpressionResolver class. This change
is being made in preparation for allowing name expression resolution
to be augmented by a plugin.
In order to remove some instances of IndexNameExpressionResolver, the
single instance is added as a parameter of Plugin#createComponents and
PersistentTaskPlugin#getPersistentTasksExecutor.
Backport of #52596
* Make FreezeStep retryable
This change marks `FreezeStep` as retryable and adds test to make sure we can really run it again.
* refactor tests
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Refactor Inflexible Snapshot Repository BwC (#52365)
Transport the version to use for a snapshot instead of whether to use shard generations in the snapshots in progress entry. This allows making upcoming repository metadata changes in a flexible manner in an analogous way to how we handle serialization BwC elsewhere.
Also, exposing the version at the repository API level will make it easier to do BwC relevant changes in derived repositories like source only or encrypted.
Add enterprise operation mode to properly map enterprise license.
Aslo refactor XPackLicenstate class to consolidate license status and mode checks.
This class has many sychronised methods to check basically three things:
* Minimum operation mode required
* Whether security is enabled
* Whether current license needs to be active
Depends on the actual feature, either 1, 2 or all of above checks are performed.
These are now consolidated in to 3 helper methods (2 of them are new).
The synchronization is pushed down to the helper methods so actual checking
methods no longer need to worry about it.
resolves: #51081
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>
* Make DeleteStep retryable
This change marks `DeleteStep` as retryable and adds test to make sure we really can invoke it again.
* Fix unused import
* revert unneeded changes
* test reworked
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
This is useful in cases where the caller of the API needs to know
the name of the realm that consumed the SAML Response and
authenticated the user and this is not self evident (i.e. because
there are many saml realms defined in ES).
Currently, the way to learn the realm name would be to make a
subsequent request to the `_authenticate` API.
The shard follow task cleaner executes on behalf of the user to clean up
a shard follow task after the follower index has been
deleted. Otherwise, these persistent tasks are left laying around, and
they fail to execute because the follower index has been deleted. In the
face of security, attempts to complete these persistent tasks would
fail. This is because these cleanups are executed under the system
context (this makes sense, they are happening on behalf of the user
after the user has executed an action) but the system role was never
granted the permission for persistent task completion. This commit
addresses this by adding this cluster privilege to the system role.
We marked the `init` ILM step as retryable but our test used `waitUntil`
without an assert so we didn’t catch the fact that we were not actually
able to retry this step as our ILM state didn’t contain any information
about the policy execution (as we were in the process of initialising
it).
This commit manually sets the current step to `init` when we’re moving
the ilm policy into the ERROR step (this enables us to successfully
move to the error step and later retry the step)
* ShrunkenIndexCheckStep: Use correct logger
(cherry picked from commit f78d4b3d91345a2a8fc0f48b90dd66c9959bd7ff)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
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
This is to support the ML categorization wizard.
Currently cluster:admin/analyze is only provided with the
"manage" cluster privilege, which is an excessive privilege
level to provide access to this single feature. It means
that the ML categorization wizard only works for extremely
highly privileged users.
Following this change the Kibana system user will be
permitted to run the _analyze endpoint on supplied strings
(not on an index). The ML UI will then call the _analyze
endpoint as the Kibana system user after first checking
that the logged-in user is permitted to create an ML job.
This will mean that users with the more reasonable
"manage_ml" cluster privilege will be permitted to use
the ML categorization wizard.
(This is also consistent with the way the ML UI will access
_all_ Elasticsearch functionality when the "ML in Spaces"
project is completed.)
Closes#51391
Relates elastic/kibana#57375
This commit removes the need for DeprecatedRoute and ReplacedRoute to
have an instance of a DeprecationLogger. Instead the RestController now
has a DeprecationLogger that will be used for all deprecated and
replaced route messages.
Relates #51950
Backport of #52278
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
Modifies SLM's and ILM's history indices to be hidden indices for added
protection against accidental querying and deletion, and improves
IndexTemplateRegistry to handle upgrading index templates.
Also modifies the REST test cleanup to delete hidden indices.
This commit adds a new security origin, and an associated reserved user
and role, named `_async_search`, which can be used by internal clients to
manage the `.async-search-*` restricted index namespace.
In #51146 a rudimentary check for poor categorization was added to
7.6.
This change replaces that warning based on a Java-side check with
a new one based on the categorization_status field that the ML C++
sets. categorization_status was added in 7.7 and above by #51879,
so this new warning based on more advanced conditions will also be
in 7.7 and above.
Closes#50749
The changes add more granularity for identiying the data ingestion user.
The ingest pipeline can now be configure to record authentication realm and
type. It can also record API key name and ID when one is in use.
This improves traceability when data are being ingested from multiple agents
and will become more relevant with the incoming support of required
pipelines (#46847)
Resolves: #49106
This change extracts the code that previously existed in the
"Authentication" class that was responsible for reading and writing
authentication objects to/from the ThreadContext.
This is needed to support multiple authentication objects under
separate keys.
This refactoring highlighted that there were a large number of places
where we extracted the Authentication/User objects from the thread
context, in a variety of ways. These have been consolidated to rely on
the SecurityContext object.
Backport of: #52032
* Allow forcemerge in the hot phase for ILM policies
This commit changes the `forcemerge` action to also be allowed in the `hot` phase for policies. The
forcemerge will occur after a rollover, and allows users to take advantage of higher disk speeds for
performing the force merge (on a separate node type, for example).
On caveat with this is that a `forcemerge` in the `hot` phase *MUST* be accompanied by a `rollover`
action. ILM validates policies to ensure this is the case.
Resolves#43165
* Use anyMatch instead of findAny in validation
* Make randomTimeseriesLifecyclePolicy single-pass
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
This commit changes how RestHandlers are registered with the
RestController so that a RestHandler no longer needs to register itself
with the RestController. Instead the RestHandler interface has new
methods which when called provide information about the routes
(method and path combinations) that are handled by the handler
including any deprecated and/or replaced combinations.
This change also makes the publication of RestHandlers safe since they
no longer publish a reference to themselves within their constructors.
Closes#51622
Co-authored-by: Jason Tedor <jason@tedor.me>
Backport of #51950
Some parts of the User class (e.g. equals/hashCode) assumed that
principal could never be null, but the constructor didn't enforce
that.
This adds a null check into the constructor and fixes a few tests that
relied on being able to pass in null usernames.
Backport of: #51988
We can just put the `IndexId` instead of just the index name into the recovery soruce and
save one load of `RepositoryData` on each shard restore that way.
* [ML] Add bwc serialization unit test scaffold (#51889)
Adds new `AbstractBWCSerializationTestCase` which provides easy scaffolding for BWC serialization unit tests.
These are no replacement for true BWC tests (which execute actual old code). These tests do provide some good coverage for the current code when serializing to/from old versions.
* removing unnecessary override for 7.series branch
* adding necessary import
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
in preparation for feature importance and split information gain, adding `number_samples` field to `TreeNode` definition.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
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.
* Adding best_compression (#49974)
This commit adds a `codec` parameter to the ILM `forcemerge` action. When setting the codec to `best_compression` ILM will close the index, then update the codec setting, re-open the index, and finally perform a force merge.
* Fix ForceMergeAction toSteps construction (#51825)
There was a duplicate force merge step and the test continued to fail. This commit clarifies the
`toStep` method and changes the `assertBestCompression` method for better readability.
Resolves#51822
* Update version constants
Co-authored-by: Sivagurunathan Velayutham <sivadeva.93@gmail.com>
Adds a secure and reloadable SECURE_AUTH_PASSWORD setting to allow keystore entries in the form "xpack.monitoring.exporters.*.auth.secure_password" to securely supply passwords for monitoring HTTP exporters. Also deprecates the insecure `AUTH_PASSWORD` setting.
While we use `== false` as a more visible form of boolean negation
(instead of `!`), the true case is implied and the true value does not
need to explicitly checked. This commit converts cases that have slipped
into the code checking for `== true`.
This addresses another race condition that could yield this test flaky.
(cherry picked from commit d20d90aceb2b687239654d6f013f61f7f4cc1512)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
* Change index.lifecycle.step.master_timeout to indices.lifecycle.step.master_timeout
This changes setting name from `index.lifecycle.step.master_timeout` to
`indices.lifecycle.step.master_timeout` to avoid confusion about its scope.
`index.*` settings are recognized as index level settings, this one is node level.
Reletes to #51698
Currently when an ILM policy finishes its execution, the index moves into the `TerminalPolicyStep`,
denoted by a completed/completed/completed phase/action/step lifecycle execution state.
This commit changes the behavior so that the index lifecycle execution state halts at the last
configured phase's `PhaseCompleteStep`, so for instance, if an index were configured with a policy
containing a `hot` and `cold` phase, the index would stop at the `cold/complete/complete`
`PhaseCompleteStep`. This allows an ILM user to update the policy to add any later phases and have
indices configured to use that policy pick up execution at the newly added "later" phase. For
example, if a `delete` phase were added to the policy specified about, the index would then move
from `cold/complete/complete` into the `delete` phase.
Relates to #48431
The changes are to help users prepare for migration to next major
release (v8.0.0) regarding to the break change of realm order config.
Warnings are added for when:
* A realm does not have an order config
* Multiple realms have the same order config
The warning messages are added to both deprecation API and loggings.
The main reasons for doing this are: 1) there is currently no automatic relay
between the two; 2) deprecation API is under basic and we need logging
for OSS.
This commit switches the strategy for managing dot-prefixed indices that
should be hidden indices from using "fake" system indices to an explicit
exclusions list that must be updated when those indices are converted to
hidden indices.
* Rename ILM history index enablement setting
The previous setting was `index.lifecycle.history_index_enabled`, this commit changes it to
`indices.lifecycle.history_index_enabled` to indicate this is not an index-level setting (it's node
level).
* [ML][Inference] Fix weighted mode definition (#51648)
Weighted mode inaccurately assumed that the "max value" of the input values would be the maximum class value. This does not make sense.
Weighted Mode should know how many classes there are. Hence the new parameter `num_classes`. This indicates what the maximum class value to be expected.
Three fixes for when the `compressed_definition` is utilized on PUT
* Update the inflate byte limit to be the minimum of 10% the max heap, or 1GB (what it was previously)
* Stream data directly to the JSON parser, so if it is invalid, we don't have to inflate the whole stream to find out
* Throw when the maximum bytes are reach indicating that is why the request was rejected
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>
The timeout.tcp_read AD/LDAP realm setting, despite the low-level
allusion, controls the time interval the realms wait for a response for
a query (search or bind). If the connection to the server is synchronous
(un-pooled) the response timeout is analogous to the tcp read timeout.
But the tcp read timeout is irrelevant in the common case of a pooled
connection (when a Bind DN is specified).
The timeout.tcp_read qualifier is hereby deprecated in favor of
timeout.response.
In addition, the default value for both timeout.tcp_read and
timeout.response is that of timeout.ldap_search, instead of the 5s (but
the default for timeout.ldap_search is still 5s). The
timeout.ldap_search defines the server-controlled timeout of a search
request. There is no practical use case to have a smaller tcp_read
timeout compared to ldap_search (in this case the request would time-out
on the client but continue to be processed on the server). The proposed
change aims to simplify configuration so that the more common
configuration change, adjusting timeout.ldap_search up, has the expected
result (no timeout during searches) without any additional
modifications.
Closes#46028
* Allow Repository Plugins to Filter Metadata on Create
Add a hook that allows repository plugins to filter the repository metadata
before it gets written to the cluster state.
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.
* Reload secure settings with password (#43197)
If a password is not set, we assume an empty string to be
compatible with previous behavior.
Only allow the reload to be broadcast to other nodes if TLS is
enabled for the transport layer.
* Add passphrase support to elasticsearch-keystore (#38498)
This change adds support for keystore passphrases to all subcommands
of the elasticsearch-keystore cli tool and adds a subcommand for
changing the passphrase of an existing keystore.
The work to read the passphrase in Elasticsearch when
loading, which will be addressed in a different PR.
Subcommands of elasticsearch-keystore can handle (open and create)
passphrase protected keystores
When reading a keystore, a user is only prompted for a passphrase
only if the keystore is passphrase protected.
When creating a keystore, a user is allowed (default behavior) to create one with an
empty passphrase
Passphrase can be set to be empty when changing/setting it for an
existing keystore
Relates to: #32691
Supersedes: #37472
* Restore behavior for force parameter (#44847)
Turns out that the behavior of `-f` for the add and add-file sub
commands where it would also forcibly create the keystore if it
didn't exist, was by design - although undocumented.
This change restores that behavior auto-creating a keystore that
is not password protected if the force flag is used. The force
OptionSpec is moved to the BaseKeyStoreCommand as we will presumably
want to maintain the same behavior in any other command that takes
a force option.
* Handle pwd protected keystores in all CLI tools (#45289)
This change ensures that `elasticsearch-setup-passwords` and
`elasticsearch-saml-metadata` can handle a password protected
elasticsearch.keystore.
For setup passwords the user would be prompted to add the
elasticsearch keystore password upon running the tool. There is no
option to pass the password as a parameter as we assume the user is
present in order to enter the desired passwords for the built-in
users.
For saml-metadata, we prompt for the keystore password at all times
even though we'd only need to read something from the keystore when
there is a signing or encryption configuration.
* Modify docs for setup passwords and saml metadata cli (#45797)
Adds a sentence in the documentation of `elasticsearch-setup-passwords`
and `elasticsearch-saml-metadata` to describe that users would be
prompted for the keystore's password when running these CLI tools,
when the keystore is password protected.
Co-Authored-By: Lisa Cawley <lcawley@elastic.co>
* Elasticsearch keystore passphrase for startup scripts (#44775)
This commit allows a user to provide a keystore password on Elasticsearch
startup, but only prompts when the keystore exists and is encrypted.
The entrypoint in Java code is standard input. When the Bootstrap class is
checking for secure keystore settings, it checks whether or not the keystore
is encrypted. If so, we read one line from standard input and use this as the
password. For simplicity's sake, we allow a maximum passphrase length of 128
characters. (This is an arbitrary limit and could be increased or eliminated.
It is also enforced in the keystore tools, so that a user can't create a
password that's too long to enter at startup.)
In order to provide a password on standard input, we have to account for four
different ways of starting Elasticsearch: the bash startup script, the Windows
batch startup script, systemd startup, and docker startup. We use wrapper
scripts to reduce systemd and docker to the bash case: in both cases, a
wrapper script can read a passphrase from the filesystem and pass it to the
bash script.
In order to simplify testing the need for a passphrase, I have added a
has-passwd command to the keystore tool. This command can run silently, and
exit with status 0 when the keystore has a password. It exits with status 1 if
the keystore doesn't exist or exists and is unencrypted.
A good deal of the code-change in this commit has to do with refactoring
packaging tests to cleanly use the same tests for both the "archive" and the
"package" cases. This required not only moving tests around, but also adding
some convenience methods for an abstraction layer over distribution-specific
commands.
* Adjust docs for password protected keystore (#45054)
This commit adds relevant parts in the elasticsearch-keystore
sub-commands reference docs and in the reload secure settings API
doc.
* Fix failing Keystore Passphrase test for feature branch (#50154)
One problem with the passphrase-from-file tests, as written, is that
they would leave a SystemD environment variable set when they failed,
and this setting would cause elasticsearch startup to fail for other
tests as well. By using a try-finally, I hope that these tests will fail
more gracefully.
It appears that our Fedora and Ubuntu environments may be configured to
store journald information under /var rather than under /run, so that it
will persist between boots. Our destructive tests that read from the
journal need to account for this in order to avoid trying to limit the
output we check in tests.
* Run keystore management tests on docker distros (#50610)
* Add Docker handling to PackagingTestCase
Keystore tests need to be able to run in the Docker case. We can do this
by using a DockerShell instead of a plain Shell when Docker is running.
* Improve ES startup check for docker
Previously we were checking truncated output for the packaged JDK as
an indication that Elasticsearch had started. With new preliminary
password checks, we might get a false positive from ES keystore
commands, so we have to check specifically that the Elasticsearch
class from the Bootstrap package is what's running.
* Test password-protected keystore with Docker (#50803)
This commit adds two tests for the case where we mount a
password-protected keystore into a Docker container and provide a
password via a Docker environment variable.
We also fix a logging bug where we were logging the identifier for an
array of strings rather than the contents of that array.
* Add documentation for keystore startup prompting (#50821)
When a keystore is password-protected, Elasticsearch will prompt at
startup. This commit adds documentation for this prompt for the archive,
systemd, and Docker cases.
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
* Warn when unable to upgrade keystore on debian (#51011)
For Red Hat RPM upgrades, we warn if we can't upgrade the keystore. This
commit brings the same logic to the code for Debian packages. See the
posttrans file for gets executed for RPMs.
* Restore handling of string input
Adds tests that were mistakenly removed. One of these tests proved
we were not handling the the stdin (-x) option correctly when no
input was added. This commit restores the original approach of
reading stdin one char at a time until there is no more (-1, \r, \n)
instead of using readline() that might return null
* Apply spotless reformatting
* Use '--since' flag to get recent journal messages
When we get Elasticsearch logs from journald, we want to fetch only log
messages from the last run. There are two reasons for this. First, if
there are many logs, we might get a string that's too large for our
utility methods. Second, when we're looking for a specific message or
error, we almost certainly want to look only at messages from the last
execution.
Previously, we've been trying to do this by clearing out the physical
files under the journald process. But there seems to be some contention
over these directories: if journald writes a log file in between when
our deletion command deletes the file and when it deletes the log
directory, the deletion will fail.
It seems to me that we might be able to use journald's "--since" flag to
retrieve only log messages from the last run, and that this might be
less likely to fail due to race conditions in file deletion.
Unfortunately, it looks as if the "--since" flag has a granularity of
one-second. I've added a two-second sleep to make sure that there's a
sufficient gap between the test that will read from journald and the
test before it.
* Use new journald wrapper pattern
* Update version added in secure settings request
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
Co-authored-by: Ioannis Kakavas <ikakavas@protonmail.com>
This commit sets `xpack.security.ssl.diagnose.trust` to false in all
of our tests when running in FIPS 140 mode and when settings objects
are used to create an instance of the SSLService. This is needed
in 7.x because setting xpack.security.ssl.diagnose.trust to true
wraps SunJSSE TrustManager with our own DiagnosticTrustManager and
this is not allowed when SunJSSE is in FIPS mode.
An alternative would be to set xpack.security.fips.enabled to
true which would also implicitly disable
xpack.security.ssl.diagnose.trust but would have additional effects
(would require that we set PBKDF2 for password hashing algorithm in
all test clusters, would prohibit using JKS keystores in nodes even
if relevant tests have been muted in FIPS mode etc.)
Relates: #49900Resolves: #51268
Today we are repeatedly checking if the current build is a snapshot
build or not by reading the system property build.snapshot. This commit
formalizes this by adding a build parameter to indicate whether or not
the current build is a snapshot build.
This change changes the way to run our test suites in
JVMs configured in FIPS 140 approved mode. It does so by:
- Configuring any given runtime Java in FIPS mode with the bundled
policy and security properties files, setting the system
properties java.security.properties and java.security.policy
with the == operator that overrides the default JVM properties
and policy.
- When runtime java is 11 and higher, using BouncyCastle FIPS
Cryptographic provider and BCJSSE in FIPS mode. These are
used as testRuntime dependencies for unit
tests and internal clusters, and copied (relevant jars)
explicitly to the lib directory for testclusters used in REST tests
- When runtime java is 8, using BouncyCastle FIPS
Cryptographic provider and SunJSSE in FIPS mode.
Running the tests in FIPS 140 approved mode doesn't require an
additional configuration either in CI workers or locally and is
controlled by specifying -Dtests.fips.enabled=true
* Centralize mocks initialization in ILM steps tests
This change centralizes initialization of `Client`, `AdminClient`
and `IndicesAdminClient` for all classes extending `AbstractStepTestCase`.
This removes a lot of code duplication and make it easier to write tests.
This also removes need for `AsyncActionStep#setClient`
* Unused imports removed
* Added missed tests
* Fix OpenFollowerIndexStepTests
* [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.
check bulk indexing error for permanent problems and ensure the state goes into failed instead of
retry. Corrects the stats API to show the real error and avoids excessive audit logging.
fixes#50122
This change exposes master timeout to ILM steps through global dynamic setting.
All currently implemented steps make use of this setting as well.
Closes#44136
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 makes the UpdateSettingsStep retryable. This step updates settings needed
during the execution of ILM actions (mark indexes as read-only, change
allocation configurations, mark indexing complete, etc)
As the index updates are idempotent in nature (PUT requests and are applied only
if the values have changed) and the settings values are seldom user-configurable
(aside from the allocate action) the testing for this change goes along the
lines of artificially simulating a setting update failure on a particular value
update, which is followed by a successful step execution (a retry) in an
environment outside of ILM (the step executions are triggered manually).
(cherry picked from commit 8391b0aba469f39532bfc2796b76148167dc0289)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
After we rollover the index we wait for the configured number of shards for the
rolled index to become active (based on the index.write.wait_for_active_shards
setting which might be present in a template, or otherwise in the default case,
for the primaries to become active).
This wait might be long due to disk watermarks being tripped, replicas not
being able to spring to life due to cluster nodes reconfiguration and others
and, the RolloverStep might not complete successfully due to this inherent
transient situation, albeit the rolled index having been created.
(cherry picked from commit 457a92fb4c68c55976cc3c3e2f00a053dd2eac70)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
If 1000 different category definitions are created for a job in
the first 100 buckets it processes then an audit warning will now
be created. (This will cause a yellow warning triangle in the
ML UI's jobs list.)
Such a large number of categories suggests that the field that
categorization is working on is not well suited to the ML
categorization functionality.
If a transform config got lost (e.g. because the internal index disappeared) tasks could not be
stopped using transform API. This change makes it possible to stop transforms without a config,
meaning to remove the background task. In order to do so force must be set to true.
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.
This change adds a new `kibana_admin` role, and deprecates
the old `kibana_user` and`kibana_dashboard_only_user`roles.
The deprecation is implemented via a new reserved metadata
attribute, which can be consumed from the API and also triggers
deprecation logging when used (by a user authenticating to
Elasticsearch).
Some docs have been updated to avoid references to these
deprecated roles.
Backport of: #46456
Co-authored-by: Larry Gregory <lgregorydev@gmail.com>
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
* [ML][Inference] Adding classification_weights to ensemble models
classification_weights are a way to allow models to
prefer specific classification results over others
this might be advantageous if classification value
probabilities are a known quantity and can improve
model error rates.
Adds a new parameter to regression and classification that enables computation
of importance for the top most important features. The computation of the importance
is based on SHAP (SHapley Additive exPlanations) method.
Backport of #50914
This adds a new "http" sub-command to the certutil CLI tool.
The http command generates certificates/CSRs for use on the http
interface of an elasticsearch node/cluster.
It is designed to be a guided tool that provides explanations and
sugestions for each of the configuration options. The generated zip
file output includes extensive "readme" documentation and sample
configuration files for core Elastic products.
Backport of: #49827
The Document Level Security BitSet Cache (see #43669) had a default
configuration of "small size, long lifetime". However, this is not
a very useful default as the cache is most valuable for BitSets that
take a long time to construct, which is (generally speaking) the same
ones that operate over a large number of documents and contain many
bytes.
This commit changes the cache to be "large size, short lifetime" so
that it can hold bitsets representing billions of documents, but
releases memory quickly.
The new defaults are 10% of heap, and 2 hours.
This also adds some logging when a single BitSet exceeds the size of
the cache and when the cache is full.
Backport of: #50535
Previously custom realms were limited in what services and components
they had easy access to. It was possible to work around this because a
security extension is packaged within a Plugin, so there were ways to
store this components in static/SetOnce variables and access them from
the realm, but those techniques were fragile, undocumented and
difficult to discover.
This change includes key services as an argument to most of the methods
on SecurityExtension so that custom realm / role provider authors can
have easy access to them.
Backport of: #50534
The Document Level Security BitSet cache stores a secondary "lookup
map" so that it can determine which cache entries to invalidate when
a Lucene index is closed (merged, etc).
There was a memory leak because this secondary map was not cleared
when entries were naturally evicted from the cache (due to size/ttl
limits).
This has been solved by adding a cache removal listener and processing
those removal events asyncronously.
Backport of: #50635
When creating a role, we do not check if the exceptions for
the field permissions are a subset of granted fields. If such
a role is assigned to a user then that user's authentication fails
for this reason.
We added a check to validate role query in #46275 and on the same lines,
this commit adds check if the exceptions for the field
permissions is a subset of granted fields when parsing the
index privileges from the role descriptor.
Backport of: #50212
Co-authored-by: Yogesh Gaikwad <bizybot@users.noreply.github.com>
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
* ILM action to wait for SLM policy execution (#50454)
This change add new ILM action to wait for SLM policy execution to ensure that index has snapshot before deletion.
Closes#45067
* Fix flaky TimeSeriesLifecycleActionsIT#testWaitForSnapshot test
This change adds some randomness and cleanup step to TimeSeriesLifecycleActionsIT#testWaitForSnapshot and testWaitForSnapshotSlmExecutedBefore tests in attempt to make them stable.
Reletes to #50781
* Formatting changes
* Longer timeout
* Fix Map.of in Java8
* Unused import removed
This commit changes the default behavior for
xpack.security.ssl.diagnose.trust when running in a FIPS 140 JVM.
More specifically, when xpack.security.fips_mode.enabled is true:
- If xpack.security.ssl.diagnose.trust is not explicitly set, the
default value of it becomes false and a log message is printed
on info level, notifying of the fact that the TLS/SSL diagnostic
messages are not enabled when in a FIPS 140 JVM.
- If xpack.security.ssl.diagnose.trust is explicitly set, the value of
it is honored, even in FIPS mode.
This is relevant only for 7.x where we support Java 8 in which
SunJSSE can still be used as a FIPS 140 provider for TLS. SunJSSE
in FIPS mode, disallows the use of other TrustManager implementations
than the one shipped with SunJSSE.
The system created and models we provide now use the `_xpack` user for uniformity with our other features
The `PUT` action is now an admin cluster action
And XPackClient class now references the action instance.
Hide the `.async-search-*` in Security by making it a restricted index namespace.
The namespace is hard-coded.
To grant privileges on restricted indices, one must explicitly toggle the
`allow_restricted_indices` flag in the indices permission in the role definition.
As is the case with any other index, if a certain user lacks all permissions for an
index, that index is effectively nonexistent for that user.
* [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
Currently, if an updateable synonym filter is included in a multiplexer filter,
it is not reloaded via the _reload_search_analyzers because the multiplexer
itself doesn't pass on the analysis mode of the filters it contains, so its not
recognized as "updateable" in itself. Instead we can check and merge the
AnalysisMode settings of all filters in the multiplexer and use the resulting
mode (e.g. search-time only) for the multiplexer itself, thus making any synonym
filters contained in it reloadable. This, of course, will also make the
analyzers using the multiplexer be usable at search-time only.
Closes#50554
This commits makes the "init" ILM step retryable. It also adds a test
where an index is created with a non-parsable index name and then fails.
Related to #48183
This makes the "update-rollover-lifecycle-date" step, which is part of the
rollover action, retryable. It also adds an integration test to check the
step is retried and it eventually succeeds.
(cherry picked from commit 5bf068522deb2b6cd2563bcf80f34fdbf459c9f2)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
In 7.x an internal API used for validating remote cluster does not throw, see #50420 for the
details. This change implements a workaround for remote cluster validation, only for 7.x branches.
fixes#50420
Switch from a 32 bit Java hash to a 128 bit Murmur hash for
creating document IDs from by/over/partition field values.
The 32 bit Java hash was not sufficiently unique, and could
produce identical numbers for relatively common combinations
of by/partition field values such as L018/128 and L017/228.
Fixes#50613
* [ML][Inference] lang_ident model (#50292)
This PR contains a java port of Google's CLD3 compact NN model https://github.com/google/cld3
The ported model is formatted to fit within our inference model formatting and stored as a resource in the `:xpack:ml:` plugin and is under basic license.
The model is broken up into two major parts:
- Preprocessing through the custom embedding (based on CLD3's embedding layer)
- Pushing the embedded text through the two layers of fully connected shallow NN.
Main differences between this port and CLD3:
- We take advantage of Java's internal Unicode handling where possible (i.e. codepoints, characters, decoders, etc.)
- We do not trim down input text by removing duplicated tokens
- We do not encode doubles/floats as longs/integers.
This adds a new cluster privilege `monitor_snapshot` which is a restricted
version of `create_snapshot`, granting the same privileges to view
snapshot and repository info and status but not granting the actual
privilege to create a snapshot.
Co-authored-by: j-bean <anton.shuvaev91@gmail.com>
Gordon Brown
markharwood
Przemysław Witek
Jim Ferenczi
Dimitris Athanasiou
Tom Veasey
Tim Vernum
Jay Modi
Yannick Welsch
Benjamin Trent
David Roberts
Jake Landis
Przemko Robakowski
Hendrik Muhs
Cauê Marcondes
Henning Andersen
Nik Everett
Adrien Grand
Yang Wang
Martijn van Groningen
Tim Brooks
David Kyle
Jason Tedor
Armin Braun
Ioannis Kakavas
Andrei Dan
Marios Trivyzas
Albert Zaharovits
Andrei Stefan
Lee Hinman
Ignacio Vera
Dan Hermann
Ryan Ernst
William Brafford
Larry Gregory
Christoph Büscher