The security indices were being created without specifying the
refresh interval, which means it would inherit a value from any
templates that exists.
However, certain security functionality depends on being able to
wait_for refresh, and causes errors (e.g. in Kibana) if that time
exceeds 30s.
This commit changes the security indices configuration to always be
created with a 1s refresh interval. This prevents any templates from
inadvertantly interfering with the proper functioning of security.
It is possible for an administrator to explicitly change the refresh
interval after the indices have been created.
Backport of: #45434
This change adds a new SSL context
xpack.notification.email.ssl.*
that supports the standard SSL configuration settings (truststore,
verification_mode, etc). This SSL context is used when configuring
outbound SMTP properties for watcher email notifications.
Backport of: #45272
* [ML] Adding data frame analytics stats to _usage API (#45820)
* [ML] Adding data frame analytics stats to _usage API
* making the size of analytics stats 10k
* adjusting backport
Adds index versioning for the internal data frame transform index. Allows for new indices to be created and referenced, `GET` requests now query over the index pattern and takes the latest doc (based on INDEX name).
Following our own guidelines, SLM should use rollover instead of purely
time-based indices to keep shard counts low. This commit implements lazy
index creation for SLM's history indices, indexing via an alias, and
rollover in the built-in ILM policy.
Regression analysis support missing fields. Even more, it is expected
that the dependent variable has missing fields to the part of the
data frame that is not for training.
This commit allows to declare that an analysis supports missing values.
For such analysis, rows with missing values are not skipped. Instead,
they are written as normal with empty strings used for the missing values.
This also contains a fix to the integration test.
Closes#45425
* [ML] better handle empty results when evaluating regression
* adding new failure test to ml_security black list
* fixing equality check for regression results
* [ML][Data frame] fixing failure state transitions and race condition (#45627)
There is a small window for a race condition while we are flagging a task as failed.
Here are the steps where the race condition occurs:
1. A failure occurs
2. Before `AsyncTwoPhaseIndexer` calls the `onFailure` handler it does the following:
a. `finishAndSetState()` which sets the IndexerState to STARTED
b. `doSaveState(...)` which attempts to save the current state of the indexer
3. Another trigger is fired BEFORE `onFailure` can fire, but AFTER `finishAndSetState()` occurs.
The trick here is that we will eventually set the indexer to failed, but possibly not before another trigger had the opportunity to fire. This could obviously cause some weird state interactions. To combat this, I have put in some predicates to verify the state before taking actions. This is so if state is indeed marked failed, the "second trigger" stops ASAP.
Additionally, I move the task state checks INTO the `start` and `stop` methods, which will now require a `force` parameter. `start`, `stop`, `trigger` and `markAsFailed` are all `synchronized`. This should gives us some guarantees that one will not switch states out from underneath another.
I also flag the task as `failed` BEFORE we successfully write it to cluster state, this is to allow us to make the task fail more quickly. But, this does add the behavior where the task is "failed" but the cluster state does not indicate as much. Adding the checks in `start` and `stop` will handle this "real state vs cluster state" race condition. This has always been a problem for `_stop` as it is not a master node action and doesn’t always have the latest cluster state.
closes#45609
Relates to #45562
* [ML][Data Frame] moves failure state transition for MT safety (#45676)
* [ML][Data Frame] moves failure state transition for MT safety
* removing unused imports
* Introduce Spatial Plugin (#44389)
Introduce a skeleton Spatial plugin that holds new licensed features coming to
Geo/Spatial land!
* [GEO] Refactor DeprecatedParameters in AbstractGeometryFieldMapper (#44923)
Refactor DeprecatedParameters specific to legacy geo_shape out of
AbstractGeometryFieldMapper.TypeParser#parse.
* [SPATIAL] New ShapeFieldMapper for indexing cartesian geometries (#44980)
Add a new ShapeFieldMapper to the xpack spatial module for
indexing arbitrary cartesian geometries using a new field type called shape.
The indexing approach leverages lucene's new XYShape field type which is
backed by BKD in the same manner as LatLonShape but without the WGS84
latitude longitude restrictions. The new field mapper builds on and
extends the refactoring effort in AbstractGeometryFieldMapper and accepts
shapes in either GeoJSON or WKT format (both of which support non geospatial
geometries).
Tests are provided in the ShapeFieldMapperTest class in the same manner
as GeoShapeFieldMapperTests and LegacyGeoShapeFieldMapperTests.
Documentation for how to use the new field type and what parameters are
accepted is included. The QueryBuilder for searching indexed shapes is
provided in a separate commit.
* [SPATIAL] New ShapeQueryBuilder for querying indexed cartesian geometry (#45108)
Add a new ShapeQueryBuilder to the xpack spatial module for
querying arbitrary Cartesian geometries indexed using the new shape field
type.
The query builder extends AbstractGeometryQueryBuilder and leverages the
ShapeQueryProcessor added in the previous field mapper commit.
Tests are provided in ShapeQueryTests in the same manner as
GeoShapeQueryTests and docs are updated to explain how the query works.
The current implementations make it difficult for
adding new privileges (example: a cluster privilege which is
more than cluster action-based and not exposed to the security
administrator). On the high level, we would like our cluster privilege
either:
- a named cluster privilege
This corresponds to `cluster` field from the role descriptor
- or a configurable cluster privilege
This corresponds to the `global` field from the role-descriptor and
allows a security administrator to configure them.
Some of the responsibilities like the merging of action based cluster privileges
are now pushed at cluster permission level. How to implement the predicate
(using Automaton) is being now enforced by cluster permission.
`ClusterPermission` helps in enforcing the cluster level access either by
performing checks against cluster action and optionally against a request.
It is a collection of one or more permission checks where if any of the checks
allow access then the permission allows access to a cluster action.
Implementations of cluster privilege must be able to provide information
regarding the predicates to the cluster permission so that can be enforced.
This is enforced by making implementations of cluster privilege aware of
cluster permission builder and provide a way to specify how the permission is
to be built for a given privilege.
This commit renames `ConditionalClusterPrivilege` to `ConfigurableClusterPrivilege`.
`ConfigurableClusterPrivilege` is a renderable cluster privilege exposed
as a `global` field in role descriptor.
Other than this there is a requirement where we would want to know if a cluster
permission is implied by another cluster-permission (`has-privileges`).
This is helpful in addressing queries related to privileges for a user.
This is not just simply checking of cluster permissions since we do not
have access to runtime information (like request object).
This refactoring does not try to address those scenarios.
Relates #44048
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.
This commit replaces task_state and indexer_state in the
data frame _stats output with a single top level state
that combines the two. It is defined as:
- failed if what's currently reported as task_state is failed
- stopped if there is no persistent task
- Otherwise what's currently reported as indexer_state
Backport of #45276
* [ML][Data Frame] Add update transform api endpoint (#45154)
This adds the ability to `_update` stored data frame transforms. All mutable fields are applied when the next checkpoint starts. The exception being `description`.
This PR contains all that is necessary for this addition:
* HLRC
* Docs
* Server side
We currently use the unboundid ldap SDK, which is triply licensed under
GPL-2.0, LGPL-2.1, and the "UnboundID LDAP SDK Free Use License". We currently
identify the license as the latter, but LGPL-2.1 is the one we should be using
per our policy.
The PutJob API accidentally used an "expert" API of CreateIndexRequest.
That API is semi-lenient to syntax; a type could be omitted and the
request would work as expected. But if a type was omitted it would
not merge with templates correctly, leading to index creation that
only has the template and not the requested mappings in the request.
This commit refactors the PutJob API to:
- Include the type name
- Use a less "expert" API in an attempt to future proof against errors
- Uses an XContentBuilder instead of string replacing, removes json template
Reloading of synonym_graph filter doesn't work currently because the search time
AnalysisMode doesn't get propagated to the TokenFilterFactory emitted by the
graph filters getChainAwareTokenFilterFactory() method. This change fixes that.
Closes#45127
This change improves the exception messages that are thrown when the
system cannot read TLS resources such as keystores, truststores,
certificates, keys or certificate-chains (CAs).
This change specifically handles:
- Files that do not exist
- Files that cannot be read due to file-system permissions
- Files that cannot be read due to the ES security-manager
Backport of: #44787
There are no realms that can be configured exclusively with secure
settings. Every realm that supports secure settings also requires one
or more non-secure settings.
However, sometimes a node will be configured with entries in the
keystore for which there is nothing in elasticsearch.yml - this may be
because the realm we removed from the yml, but not deleted from the
keystore, or it could be because there was a typo in the realm name
which has accidentially orphaned the keystore entry.
In these cases the realm building would fail, but the error would not
always be clear or point to the root cause (orphaned keystore
entries). RealmSettings would act as though the realm existed, but
then fail because an incorrect combination of settings was provided.
This change causes realm building to fail early, with an explicit
message about incorrect keystore entries.
Backport of: #44471
* Rename indexlifecycle to ilm and snapshotlifecycle to slm (#44917)
As a followup to #44725 and #44608, which renamed the packages within
the x-pack project, this renames the packages within the core x-pack
project. It also renames 'snapshotlifecycle' within the HLRC to slm.
* Fix one more import
In order to make it easier to interpret the output of the ILM Explain
API, this commit adds two request parameters to that API:
- `only_managed`, which causes the response to only contain indices
which have `index.lifecycle.name` set
- `only_errors`, which causes the response to contain only indices in an
ILM error state
"Error state" is defined as either being in the `ERROR` step or having
`index.lifecycle.name` set to a policy that does not exist.
This is a followup to #44350. The indexer stats used to
be persisted standalone, but now are only persisted as
part of a state-and-stats document. During the review
of #44350 it was decided that we'll stick with this
design, so there will never be a need for an indexer
stats object to store its transform ID as it is stored
on the enclosing document. This PR removes the indexer
stats document ID.
Backport of #44768
* Only emit deprecation warning if there was actual change of a datafeed's job_id.
* Add @Deprecated annotation to DatafeedUpdate.Builder#setJobId method
This change adjusts the data frame transforms stats
endpoint to return a structure that is easier to
understand.
This is a breaking change for clients of the data frame
transforms stats endpoint, but the feature is in beta so
stability is not guaranteed.
Backport of #44350
This commit renames the SLM package from snapshotlifecycle to slm. We
have all come to know index lifecycle management as ILM, the APIs and
settings use ilm, and it would be nice of the package did too. For SLM,
let's use slm for all of these including the package name from the
beginning.
This adds a new dynamic cluster setting `xpack.data_frame.num_transform_failure_retries`.
This setting indicates how many times non-critical failures should be retried before a data frame transform is marked as failed and should stop executing. At the time of this commit; Min: 0, Max: 100, Default: 10