Previously we had two patterns for naming of strict
and lenient parsers.
Some classes had CONFIG_PARSER and METADATA_PARSER,
and used an enum to pass the parser type to nested
parsers.
Other classes had STRICT_PARSER and LENIENT_PARSER
and used ternary operators to pass the parser type
to nested parsers.
This change makes all ML classes use the second of
the patterns described above.
Removing some dead code or supressing warnings where apropriate. Most of the
time the variable tested for null is dereferenced earlier or never used before.
This commit introduces "Application Privileges" to the X-Pack security
model.
Application Privileges are managed within Elasticsearch, and can be
tested with the _has_privileges API, but do not grant access to any
actions or resources within Elasticsearch. Their purpose is to allow
applications outside of Elasticsearch to represent and store their own
privileges model within Elasticsearch roles.
Access to manage application privileges is handled in a new way that
grants permission to specific application names only. This lays the
foundation for more OLS on cluster privileges, which is implemented by
allowing a cluster permission to inspect not just the action being
executed, but also the request to which the action is applied.
To support this, a "conditional cluster privilege" is introduced, which
is like the existing cluster privilege, except that it has a Predicate
over the request as well as over the action name.
Specifically, this adds
- GET/PUT/DELETE actions for defining application level privileges
- application privileges in role definitions
- application privileges in the has_privileges API
- changes to the cluster permission class to support checking of request
objects
- a new "global" element on role definition to provide cluster object
level security (only for manage application privileges)
- changes to `kibana_user`, `kibana_dashboard_only_user` and
`kibana_system` roles to use and manage application privileges
Closes#29820Closes#31559
This bundles the x-pack:protocol project into the x-pack:plugin:core
project because we'd like folks to consider it an implementation detail
of our build rather than a separate artifact to be managed and depended
on. It is now bundled into both x-pack:plugin:core and
client:rest-high-level. To make this work I had to fix a few things.
Firstly, I had to make PluginBuildPlugin work with the shadow plugin.
In that case we have to bundle only the `shadow` dependencies and the
shadow jar.
Secondly, every reference to x-pack:plugin:core has to use the `shadow`
configuration. Without that the reference is missing all of the
un-shadowed dependencies. I tried to make it so that applying the shadow
plugin automatically redefines the `default` configuration to mirror the
`shadow` configuration which would allow us to use bare project references
to the x-pack:plugin:core project but I couldn't make it work. It'd *look*
like it works but then fail for transitive dependencies anyway. I think
it is still a good thing to do but I don't have the willpower to do it
now.
Finally, I had to fix an issue where Eclipse and IntelliJ didn't properly
reference shadowed transitive dependencies. Neither IDE supports shadowing
natively so they have to reference the shadowed projects. We fix this by
detecting `shadow` dependencies when in "Intellij mode" or "Eclipse mode"
and adding `runtime` dependencies to the same target. This convinces
IntelliJ and Eclipse to play nice.
The initial decision to use async durability was made a long time ago
for performance reasons. That argument no longer applies and we
prefer the safety of request durability.
Prior to 6.3 a trial license default to security enabled. Since 6.3
they default to security disabled. If a cluster is upgraded from <6.3
to >6.3, then we detect this and mimic the old behaviour with respect
to security.
The ML config classes will shortly be moved to the X-Pack protocol
library to allow the ML APIs to be moved to the high level REST
client. Dependencies on server functionality should be removed
from the config classes before this is done.
This change is entirely about moving code between packages. It
does not add or remove any functionality or tests.
When an ML job cannot be allocated to a node the exception
contained an explanation of why the job couldn't be
allocated to each node in the cluster. For large clusters
this was not particularly easy to read and made the error
displayed in the UI look very scary.
This commit changes the structure of the error to an outer
ElasticsearchException with a high level message and an
inner IllegalStateException containing the detailed
explanation. Because the definition of root cause is the
innermost ElasticsearchException the detailed explanation
will not be the root cause (which is what Kibana displays).
Fixes#29950
Originally I put the X-Pack info object into the top level rest client
object. I did that because we thought we'd like to squash `xpack` from
the name of the X-Pack APIs now that it is part of the default
distribution. We still kind of want to do that, but at least for now we
feel like it is better to keep the high level rest client aligned with
the other language clients like C# and Python. This shifts the X-Pack
info API to align with its json spec file.
Relates to #31870
This is the first x-pack API we're adding to the high level REST client
so there is a lot to talk about here!
= Open source
The *client* for these APIs is open source. We're taking the previously
Elastic licensed files used for the `Request` and `Response` objects and
relicensing them under the Apache 2 license.
The implementation of these features is staying under the Elastic
license. This lines up with how the rest of the Elasticsearch language
clients work.
= Location of the new files
We're moving all of the `Request` and `Response` objects that we're
relicensing to the `x-pack/protocol` directory. We're adding a copy of
the Apache 2 license to the root fo the `x-pack/protocol` directory to
line up with the language in the root `LICENSE.txt` file. All files in
this directory will have the Apache 2 license header as well. We don't
want there to be any confusion. Even though the files are under the
`x-pack` directory, they are Apache 2 licensed.
We chose this particular directory layout because it keeps the X-Pack
stuff together and easier to think about.
= Location of the API in the REST client
We've been following the layout of the rest-api-spec files for other
APIs and we plan to do this for the X-Pack APIs with one exception:
we're dropping the `xpack` from the name of most of the APIs. So
`xpack.graph.explore` will become `graph().explore()` and
`xpack.license.get` will become `license().get()`.
`xpack.info` and `xpack.usage` are special here though because they
don't belong to any proper category. For now I'm just calling
`xpack.info` `xPackInfo()` and intend to call usage `xPackUsage` though
I'm not convinced that this is the final name for them. But it does get
us started.
= Jars, jars everywhere!
This change makes the `xpack:protocol` project a `compile` scoped
dependency of the `x-pack:plugin:core` and `client:rest-high-level`
projects. I intend to keep it a compile scoped dependency of
`x-pack:plugin:core` but I intend to bundle the contents of the protocol
jar into the `client:rest-high-level` jar in a follow up. This change
has grown large enough at this point.
In that followup I'll address javadoc issues as well.
= Breaking-Java
This breaks that transport client by a few classes around. We've
traditionally been ok with doing this to the transport client.
Job persistent tasks with stale allocation IDs used to always be
considered as OPENING jobs in the ML job node allocation decision.
However, FAILED jobs are not relocated to other nodes, which leads
to them blocking up the nodes they failed on after node restarts.
FAILED jobs should not restrict how many other jobs can open on a
node, regardless of whether they are stale or not.
Closes#31794
Job updates or changes to calendars or filters may
result into updating the job process if it has been
running. To preserve the order of updates, process
updates are queued through the UpdateJobProcessNotifier
which is only running on the master node. All actions
performing such updates must run on the master node.
However, the CRUD actions for calendars and filters
are not master node actions. They have been submitting
the updates to the UpdateJobProcessNotifier even though
it might have not been running (given the action was
run on a non-master node). When that happens, the update
never reaches the process.
This commit fixes this problem by ensuring the notifier
runs on all nodes and by ensuring the process update action
gets the resources again before updating the process
(instead of having those resources passed in the request).
This ensures that even if the order of the updates
gets messed up, the latest update will read the latest
state of those resource and the process will get back
in sync.
This leaves us with 2 types of updates:
1. updates to the job config should happen on the master
node. This is because we cannot refetch the entire job
and update it. We need to know the parts that have been changed.
2. updates to resources the job uses. Those can be handled
on non-master nodes but they should be re-fetched by the
update process action.
Closes#31803
There is at most one model size stats document per bucket, but
during lookback a job can churn through many buckets very quickly.
This can lead to many cluster state updates if established model
memory needs to be updated for a given model size stats document.
This change rate limits established model memory updates to one
per job per 5 seconds. This is done by scheduling the updates 5
seconds in the future, but replacing the value to be written if
another model size stats document is received during the waiting
period. Updating the values in arrears like this means that the
last value received will be the one associated with the job in the
long term, whereas alternative approaches such as not updating the
value if a new value was close to the old value would not.
This change adds stats about forecasts, to the jobstats api as well as xpack/_usage. The following
information is collected:
_xpack/ml/anomaly_detectors/{jobid|_all}/_stats:
- total number of forecasts
- memory statistics (mean/min/max)
- runtime statistics
- record statistics
- counts by status
_xpack/usage
- collected by job status as well as overall (_all):
- total number of forecasts
- number of jobs that have at least 1 forecast
- memory, runtime, record statistics
- counts by status
Fixes#31395
* Remove deprecation warnings to prepare for Gradle 5
Gradle replaced `project.sourceSets.main.output.classesDir` of type
`File` with `project.sourceSets.main.output.classesDirs` of type
`FileCollection`
(see [SourceSetOutput](https://github.com/gradle/gradle/blob/master/subprojects/plugins/src/main/java/org/gradle/api/tasks/SourceSetOutput.java))
Build output is now stored on a per language folder.
There are a few places where we use that, here's these and how it's
fixed:
- Randomized Test execution
- look in all test folders ( pass the multi dir configuration to the
ant runner )
- DRY the task configuration by introducing `basedOn` for
`RandomizedTestingTask` DSL
- Extend the naming convention test to support passing in multiple
directories
- Fix the standalon test plugin, the dires were not passed trough,
checked with a debuger and the statement had no affect due to a
missing `=`.
Closes#30354
* Only check Java tests, PR feedback
- Name checker was ran for Groovy tests that don't adhere to the same
convections causing the check to fail
- implement PR feedback
* Replace `add` with `addAll`
This worked because the list is passed to `project.files` that does the
right thing.
* Revert "Only check Java tests, PR feedback"
This reverts commit 9bd9389875d8b88aadb50df57a45cd0d2b073241.
* Remove `basedOn` helper
* Bring some changes back
Previus revert accidentally reverted too much
* Fix negation
* add back public
* revert name check changes
* Revert "revert name check changes"
This reverts commit a2800c0b363168339ea65e2a79ec8256e5883e6d.
* Pass all dirs to name check
Only run on Java for build-tools, this is safe because it's a self test.
It needs more work before we could pass in the Groovy classes as well as
these inherit from `GroovyTestCase`
* remove self tests from name check
The self complicates the task setup and disable real checks on
build-tools.
With this change there are no more self tests, and the build-tools tests
adhere to the conventions.
The self test will be replaced by gradle test kit, thus the addition of
the Gradle plugin builder plugin.
* First test to run a Gradle build
* Add tests that replace the name check self test
* Clean up integ test base class
* Always run tests
* Align with test naming conventions
* Make integ. test case inherit from unit test case
The check requires this
* Remove `import static org.junit.Assert.*`
TransportAction currently contains 2 doExecute methods, one which takes
a the task, and one that does not. The latter is what some subclasses
implement, while the first one just calls the latter, dropping the given
task. This commit combines these methods, in favor of just always
assuming a task is present.
This adds an api to allow updating a filter:
POST _xpack/ml/filters/{filter_id}/_update
The request body may have:
- description: setting a new description
- add_items: a list of the items to add
- remove_items: a list of the items to remove
This commit also changes the PUT filter api to
error when the filter_id is already used. As
now there is an api for updating filters, the
put api should only be used to create new ones.
Also, updating a filter results into a notification
message auditing the change for every job that is
using that filter.
In #29639 we added a `format` option to doc-value fields and deprecated usage
of doc-value fields without a format so that we could migrate doc-value fields
to use the format that comes with the mappings by default. However I missed to
fix the machine-learning datafeed extractor.
Most transport actions don't need the node ThreadPool. This commit
removes the ThreadPool as a super constructor parameter for
TransportAction. The actions that do need the thread pool then have a
member added to keep it from their own constructor.
Most transport actions don't need to resolve index names. This commit
removes the index name resolver as a super constructor parameter for
TransportAction. The actions that do need the resolver then have a
member added to keep the resolver from their own constructor.
This commit makes it so that cluster state update tasks always run under the system context, only
restoring the original context when the listener that was provided with the task is called. A notable
exception is the clusterStatePublished(...) callback which will still run under system context,
because it's defined on the executor-level, and not the task level, and only called once for the
combined batch of tasks and can therefore not be uniquely identified with a task / thread context.
Relates #30603
This pull request removes the relationship between the state
of persistent task (as stored in the cluster state) and the status
of the task (as reported by the Task APIs and used in various
places) that have been confusing for some time (#29608).
In order to do that, a new PersistentTaskState interface is added.
This interface represents the persisted state of a persistent task.
The methods used to update the state of persistent tasks are
renamed: updatePersistentStatus() becomes updatePersistentTaskState()
and now takes a PersistentTaskState as a parameter. The
Task.Status type as been changed to PersistentTaskState in all
places were it make sense (in persistent task customs in cluster
state and all other methods that deal with the state of an allocated
persistent task).
This adds a `description` to ML filters in order
to allow users to describe their filters in a human
readable form which is also editable (filter updates
to be added shortly).
This change prevents a datafeed using cross cluster search from starting if the remote cluster
does not have x-pack installed and a sufficient license. The check is made only when starting a
datafeed.
Rules allow users to supply a detector with domain
knowledge that can improve the quality of the results.
The model detects statistically anomalous results but it
has no knowledge of the meaning of the values being modelled.
For example, a detector that performs a population analysis
over IP addresses could benefit from a list of IP addresses
that the user knows to be safe. Then anomalous results for
those IP addresses will not be created and will not affect
the quantiles either.
Another example would be a detector looking for anomalies
in the median value of CPU utilization. A user might want
to inform the detector that any results where the actual
value is less than 5 is not interesting.
This commit introduces a `custom_rules` field to the `Detector`.
A detector may have multiple rules which are combined with `or`.
A rule has 3 fields: `actions`, `scope` and `conditions`.
Actions is a list of what should happen when the rule applies.
The current options include `skip_result` and `skip_model_update`.
The default value for `actions` is the `skip_result` action.
Scope is optional and allows for applying filters on any of the
partition/over/by field. When not defined the rule applies to
all series. The `filter_id` needs to be specified to match the id
of the filter to be used. Optionally, the `filter_type` can be specified
as either `include` (default) or `exclude`. When set to `include`
the rule applies to entities that are in the filter. When set to
`exclude` the rule only applies to entities not in the filter.
There may be zero or more conditions. A condition requires `applies_to`,
`operator` and `value` to be specified. The `applies_to` value can be
either `actual`, `typical` or `diff_from_typical` and it specifies
the numerical value to which the condition applies. The `operator`
(`lt`, `lte`, `gt`, `gte`) and `value` complete the definition.
Conditions are combined with `and` and allow to specify numerical
conditions for when a rule applies.
A rule must either have a scope or one or more conditions. Finally,
a rule with scope and conditions applies when all of them apply.
This commit upgrades us to Netty 4.1.25. This upgrade is more
challenging than past upgrades, all because of a new object cleaner
thread that they have added. This thread requires an additional security
permission (set context class loader, needed to avoid leaks in certain
scenarios). Additionally, there is not a clean way to shutdown this
thread which means that the thread can fail thread leak control during
tests. As such, we have to filter this thread from thread leak control.
ObjectParser should throw XContentParseExceptions, not IAE. A dedicated parsing
exception can includes the place where the error occurred.
Closes#30605
This commit removes the RequestBuilder generic type from Action. It was
needed to be used by the newRequest method, which in turn was used by
client.prepareExecute. Both of these methods are now removed, along with
the existing users of prepareExecute constructing the appropriate
builder directly.
This commit renames methods in the PersistentTasksService, to
make obvious that the methods send requests in order to change
the state of persistent tasks.
Relates to #29608.
ML has dedicated APIs for datafeeds and jobs yet base test classes and
some tests were relying on the cluster state for this state. This commit
removes this usage in favor of using the dedicated endpoints.
This commit adds the ability to configure how a docvalue field should be
formatted, so that it would be possible eg. to return a date field
formatted as the number of milliseconds since Epoch.
Closes#27740
Enables a rolling restart from the OSS distribution to the x-pack based distribution by preventing
x-pack code from installing custom metadata into the cluster state until all nodes are capable of
deserializing this metadata.
When doing a node restart using the test framework, the restarted node does not only use the
settings provided to the original node, but also additional settings provided by plugin extensions,
which does not correspond to the settings that a node would have on a true restart.
This change is to support rolling upgrade from a pre-6.3 default
distribution (i.e. without X-Pack) to a 6.3+ default distribution
(i.e. with X-Pack).
The ML metadata is no longer eagerly added to the cluster state
as soon as the master node has X-Pack available. Instead, it
is added when the first ML job is created.
As a result all methods that get the ML metadata need to be able
to handle the situation where there is no ML metadata in the
current cluster state. They do this by behaving as though an
empty ML metadata was present. This logic is encapsulated by
always asking for the current ML metadata using a static method
on the MlMetadata class.
Relates #30731
diskspace and creates a subfolder for storing data outside of Lucene
indexes, but as part of the ES data paths.
Details:
- tmp storage is managed and does not allow allocation if disk space is
below a threshold (5GB at the moment)
- tmp storage is supposed to be managed by the native component but in
case this fails cleanup is provided:
- on job close
- on process crash
- after node crash, on restart
- available space is re-checked for every forecast call (the native
component has to check again before writing)
Note: The 1st path that has enough space is chosen on job open (job
close/reopen triggers a new search)
This change adds version information in case a native ML process crashes, the version is important for choosing the right symbol files when analyzing the crash. Adding the version combines all necessary information on one line.
relates elastic/ml-cpp#94
David Roberts
Christoph Büscher
Tim Vernum
Nik Everett
David Kyle
Armin Braun
Dimitris Athanasiou
Hendrik Muhs
Alpar Torok
Ryan Ernst
Adrien Grand
Yannick Welsch
Tanguy Leroux
Jason Tedor
Colin Goodheart-Smithe