The test testPauseAndResumeWithMultipleAutoFollowPatterns
failed multiple times, mostly because it creates too many leader
indices and the following cluster cannot cope with cluster state
updates generated by following indices creation and pause/
resume auto-followers changes.
This commit simplifies the test by creating at most 20 leader
indices and by waiting for any new leader index to be picked
up by the auto-follower before created another leader index.
It also pause and resume less auto-followers as previously.
closes#47917
All internal searches (triggered by APIs) across the .security index
must be performed while "under the security origin". Otherwise,
the search is performed in the context of the caller which most
likely does not have privileges to search .security (hopefully).
This commit fixes this in the case of two methods in the
TokenService and corrects an overly done such context switch
in the ApiKeyService.
In addition, this makes all tests from the client/rest-high-level
module execute as an all mighty administrator,
but not a literal superuser.
Closes#47151
This test could fail for two reasons, both should be fixed by this PR:
1) It hit a timeout for an `assertBusy`. This commit increases the
timeout for that `assertBusy`.
2) The snapshot that was supposed to be blocked could, in fact, be
successful. This is because a previous snapshot had been successfully
been taken, and no new data had been added between the two snapshots.
This means that no new segment files needed to be written for the new
snapshot, so the block on data files was never triggered. This commit
changes two things: First, it indexes some new data before taking the
second snapshot (the one that needs to be blocked), and second,
checks to ensure that the block is actually hit before continuing
with the test.
The logic for handling empty segment files has been
unnecessary ever since #24021 which removes the support
for these files in 6.x -> we can safely remove the
support for restoring these from 7.x+ to simplify the code.
There is no reason to still resolve the
fallback `IndexId` here. It only applies to
`2.x` repos and those we can't read anymore
anyway because they use an `/index` instead of
an `/index-N` blob at the repo root for which
at least 7.x+ does not contain the logic to find
it.
If a job stops right after reindexing is finished but before
we refresh the destination index, we don't refresh at all.
If the job is started again right after, it jumps into the analyzing state.
However, the data is still not searchable.
This is why we were seeing test failures that we start the process
expecting X rows (where X is lower than the expected number of docs)
and we end up getting X+.
We fix this by moving the refresh of the dest index right before
we start the process so it always ensures the data is searchable.
Closes#47612
Backport of #48090
The after snapshot action is interfering with SLM deleting snapshots
here it seems, causing concurrent delete exceptions.
Since these tests are now test-scoped there is no reason to run
snapshot deletes after each test so we can remove them to avoid this issue.
Closes#47937
We were not closing repositories on Node shutdown.
In production, this has little effect but in tests
shutting down a node using `MockRepository` and is
currently stuck in a simulated blocked-IO situation
will only unblock when the node's threadpool is
interrupted. This might in some edge cases (many
snapshot threads and some CI slowness) result
in the execution taking longer than 5s to release
all the shard stores and thus we fail the assertion
about unreleased shard stores in the internal test cluster.
Regardless of tests, I think we should close repositories
and release resources associated with them when closing
a node and not just when removing a repository from the CS
with running nodes as this behavior is really unexpected.
Fixes#47689
* Add SLM support to xpack usage and info APIs
This is a backport of #48096
This adds the missing xpack usage and info information into the
`/_xpack` and `/_xpack/usage` APIs. The output now looks like:
```
GET /_xpack/usage
{
...
"slm" : {
"available" : true,
"enabled" : true,
"policy_count" : 1,
"policy_stats" : {
"retention_runs" : 0,
...
}
}
```
and
```
GET /_xpack
{
...
"features" : {
...
"slm" : {
"available" : true,
"enabled" : true
},
...
}
}
```
Relates to #43663
* Fix missing license
This adds parsing an inference model as a possible
result of the analytics process. When we do parse such a model
we persist a `TrainedModelConfig` into the inference index
that contains additional metadata derived from the running job.
Previously when a numeric literal was enclosed in parentheses and then
negated, the negation was lost and the number was considered positive, e.g.:
`-(5)` was considered as `5` instead of `-5`
`- ( (1.28) )` was considered as `1.28` instead of `-1.28`
Fixes: #48009
(cherry picked from commit 4dee4bf3b34081062ba2e28ab8524a066812a180)
Audit messages are stored with millisecond timestamps. If two
messages have the same millisecond timestamp then asserting on
their order is impossible given the information available.
This PR changes the assertion on audit messages in the native
data frame analytics tests to assert that the expected audit
messages exist in any order.
Fixes#48035
which is backport merge and adds a new ingest processor, named enrich processor,
that allows document being ingested to be enriched with data from other indices.
Besides a new enrich processor, this PR adds several APIs to manage an enrich policy.
An enrich policy is in charge of making the data from other indices available to the enrich processor in an efficient manner.
Related to #32789
max_empty_searches = -1 in a datafeed update implies
max_empty_searches will be unset on the datafeed when
the update is applied. The isNoop() method needs to
take this -1 to null equivalence into account.
Previously, the safety check for the 2nd argument of the DateAddProcessor was
restricting it to Integer which was wrong since we allow all non-rational
numbers, so it's changed to a Number check as it's done in other cases.
Enhanced some tests regarding the check for an integer (non-rational
argument).
(cherry picked from commit 0516b6eaf5eb98fa5bd087c3fece80139a6b118e)
This change adds:
- A new option, allow_lazy_open, to anomaly detection jobs
- A new option, allow_lazy_start, to data frame analytics jobs
Both work in the same way: they allow a job to be
opened/started even if no ML node exists that can
accommodate the job immediately. In this situation
the job waits in the opening/starting state until ML
node capacity is available. (The starting state for data
frame analytics jobs is new in this change.)
Additionally, the ML nightly maintenance tasks now
creates audit warnings for ML jobs that are unassigned.
This means that jobs that cannot be assigned to an ML
node for a very long time will show a yellow warning
triangle in the UI.
A final change is that it is now possible to close a job
that is not assigned to a node without using force.
This is because previously jobs that were open but
not assigned to a node were an aberration, whereas
after this change they'll be relatively common.
This PR adds the ability to run the enrich policy execution task in the background,
returning a task id instead of waiting for the completed operation.
Prior to this change the `target_field` would always be a json array
field in the document being ingested. This to take into account that
multiple enrich documents could be inserted into the `target_field`.
However the default `max_matches` is `1`. Meaning that by default
only a single enrich document would be added to `target_field` json
array field.
This commit changes this; if `max_matches` is set to `1` then the single
document would be added as a json object to the `target_field` and
if it is configured to a higher value then the enrich documents will be
added as a json array (even if a single enrich document happens to be
enriched).
Currently, partial snapshots will eventually build up unless they are
manually deleted. Partial snapshots may be useful if there is not a more
recent successful snapshot, but should eventually be deleted if they are
no longer useful.
With this change, partial snapshots are deleted using the following
strategy: PARTIAL snapshots will be kept until the configured
expire_after period has passed, if present, and then be deleted. If
there is no configured expire_after in the retention policy, then they
will be deleted if there is at least one more recent successful snapshot
from this policy (as they may otherwise be useful for troubleshooting
purposes). Partial snapshots are not counted towards either min_count or
max_count.
Adds a new datafeed config option, max_empty_searches,
that tells a datafeed that has never found any data to stop
itself and close its associated job after a certain number
of real-time searches have returned no data.
Backport of #47922
Make clear in the docs that the role mapping APIs is the preferred
way to manage role mappings and that the role mappings that are
defined in files cannot be viewed or managed with the APIs
Usually syslog timestamps have two spaces before a single
digit day-of-month. However, in some non-syslog cases
where syslog-like timestamps are used there is only one
space. The grok pattern supports this, so the timestamp
parser should too. This change makes the
find_file_structure endpoint do this.
Also fixes another problem that the same test case
exposed in the find_file_structure endpoint, which was
that the exclude_lines_pattern for delimited files was
always created on the assumption the delimiter was a
comma. Now it is based on the actual delimiter.
This commit adds two APIs that allow to pause and resume
CCR auto-follower patterns:
// pause auto-follower
POST /_ccr/auto_follow/my_pattern/pause
// resume auto-follower
POST /_ccr/auto_follow/my_pattern/resume
The ability to pause and resume auto-follow patterns can be
useful in some situations, including the rolling upgrades of
cluster using a bi-directional cross-cluster replication scheme
(see #46665).
This commit adds a new active flag to the AutoFollowPattern
and adapts the AutoCoordinator and AutoFollower classes so
that it stops to fetch remote's cluster state when all auto-follow
patterns associate to the remote cluster are paused.
When an auto-follower is paused, remote indices that match the
pattern are just ignored: they are not added to the pattern's
followed indices uids list that is maintained in the local cluster
state. This way, when the auto-follow pattern is resumed the
indices created in the remote cluster in the meantime will be
picked up again and added as new following indices. Indices
created and then deleted in the remote cluster will be ignored
as they won't be seen at all by the auto-follower pattern at
resume time.
Backport of #47510 for 7.x
Previously, Nullability was set to UNKNOWN instead of TRUE which
resulted on QueryFolder not correctly folding to NULL if any of the args
was null.
Remove the overriding nullable() also for DatePart/DateTrunc to allow
delegation the parent class.
(cherry picked from commit 05a7108e133b5ae7bec2257db5ae2d30ad926ee2)
Joda was using ResolverStyle.STRICT when parsing. This means that date will be validated to be a correct year, year-of-month, day-of-month
However, we also want to make it works with Year-Of-Era as Joda used to, hence custom temporalquery.localdate in DateFormatters.from
Within DateFormatters we use the correct uuuu year instead of yyyy year of era
worth noting: if yyyy(without an era) is used in code, the parsing result will be a TemporalAccessor which will fail to be converted into LocalDate. We mostly use DateFormatters.from so this takes care of this. If possible the uuuu format should be used.
* [ML][Analytics] fix bug where regression deleted early does not delete state (#47885)
* [ML][Analytics] fix bug where regression deleted early does not delete state
* Fixing ml with security test failure
* fixing for older java
Changes the execution logic to create a new task using the execute request,
and attaches the new task to the policy runner to be updated. Also, a new
response is now returned from the execute api, which contains either the task
id of the execution, or the completed status of the run. The fields are mutually
exclusive to make it easier to discern what type of response it is.
This change adds documentation for the SAML APIs in Elasticsearch
and adds simple instructions on how these APIs can be used to
authenticate a user with SAML by a custom web application other
than Kibana.
Resolves: #40352
rename internal indexes of transform plugin
- rename audit index and create an alias for accessing it, BWC: add an alias for old indexes to
keep them working, kibana UI will switch to use the read alias
- rename config index and provide BWC to read from old and new ones
Batch transforms automatically stop after all data has processed, therefore tests can not reliable test the state. This change rewrites tests to remove the unreliable tests or use continuous transforms instead as they do not auto-stop.
fixes#47441
One of the tests in this suit stops a master node,
plus we're doing other node starts in this suit.
=> the internal test cluster should be TEST and not `SUITE`
scoped to avoid random failures like the one in #47834Closes#47834
The random timestamps were landing too close to the current time,
so an unlucky rollup interval would round such that the doc wasn't
included in the search range (and thus not "rolled up") which
would then fail the test.
The fix is to make sure the timestamp of all docs is sufficiently behind
'now' that the possible rounding intervals will always include them.
Backport of #38753 to 7.x where the test was still muted.
Refactor DateTrunc and DatePart to use separate Pipe classes which
allows the removal of the BinaryDateOperation enum.
(cherry picked from commit a6075e7718dff94a90dbc0795dd924dcb7641092)
Currently if the document being ingested contains another field value
than a string then the processor fails with an error.
This commit changes the match processor to handle number values
and array values correctly.
If a json array is detected then the `terms` query is used instead
of the `term` query.
Especially in the snapshot code there's a lot
of logic chaining `ActionRunnables` in tricky
ways now and the code is getting hard to follow.
This change introduces two convinience methods that
make it clear that a wrapped listener is invoked with
certainty in some trickier spots and shortens the code a bit.
Backport of (#47721) for 7.x.
Similarly to #47582, Auto-follow patterns creates following
indices as long as the remote index matches the pattern and
the remote primary shards are all started. But since 7.2 closed
indices are also replicated, and it does not play well with CCR
auto-follow patterns as they create following indices for closed
leader indices too.
This commit changes the getLeaderIndicesToFollow() so that closed
indices are excluded from auto-follow patterns.
If a cluster sending monitoring data is unhealthy and triggers an
alert, then stops sending data the following exception [1] can occur.
This exception stops the current Watch and the behavior is actually
correct in part due to the exception. Simply fixing the exception
introduces some incorrect behavior. Now that the Watch does not
error in the this case, it will result in an incorrectly "resolved"
alert. The fix here is two parts a) fix the exception b) fix the
following incorrect behavior.
a) fixing the exception is as easy as checking the size of the
array before accessing it.
b) fixing the following incorrect behavior is a bit more intrusive
- Note - the UI depends on the success/met state for each condition
to determine an "OK" or "FIRING"
In this scenario, where an unhealthy cluster triggers an alert and
then goes silent, it should keep "FIRING" until it hears back that
the cluster is green. To keep the Watch "FIRING" either the index
action or the email action needs to fire. Since the Watch is neither
a "new" alert or a "resolved" alert, we do not want to keep sending
an email (that would be non-passive too). Without completely changing
the logic of how an alert is resolved allowing the index action to
take place would result in the alert being resolved. Since we can
not keep "FIRING" either the email or index action (since we don't
want to resolve the alert nor re-write the logic for alert resolution),
we will introduce a 3rd action. A logging action that WILL fire when
the cluster is unhealthy. Specifically will fire when there is an
unresolved alert and it can not find the cluster state.
This logging action is logged at debug, so it should be noticed much.
This logging action serves as an 'anchor' for the UI to keep the state
in an a "FIRING" status until the alert is resolved.
This presents a possible scenario where a cluster starts firing,
then goes completely silent forever, the Watch will be "FIRING"
forever. This is an edge case that already exists in some scenarios
and requires manual intervention to remove that Watch.
This changes changes to use a template-like method to populate the
version_created for the default monitoring watches. The version is
set to 7.5 since that is where this is first introduced.
Fixes#43184
The currently logic shard selecting logic selects a random shard copy
instead of selecting the local shard copy and if local copy is not
available then selecting a random shard copy. The latter is desired
behaviour for enrich.
By reusing `OperationRouting#searchShards(...)` we get the desired
behaviour and reuse the same logic that the search api is using.
This commit adds documentation for new index privilege
create_doc which only allows indexing of new documents
but no updates to existing documents via Index or Bulk APIs.
Relates: #45806
* Separate SLM stop/start/status API from ILM
This separates a start/stop/status API for SLM from being tied to ILM's
operation mode. These APIs look like:
```
POST /_slm/stop
POST /_slm/start
GET /_slm/status
```
This allows administrators to have fine-grained control over preventing
periodic snapshots and deletions while performing cluster maintenance.
Relates to #43663
* Allow going from RUNNING to STOPPED
* Align with the OperationMode rules
* Fix slmStopping method
* Make OperationModeUpdateTask constructor private
* Wipe snapshots better in test
Failed snapshots will eventually build up unless they are deleted. While
failures may not take up much space, they add noise to the list of
snapshots and it's desirable to remove them when they are no longer
useful.
With this change, failed snapshots are deleted using the following
strategy: `FAILED` snapshots will be kept until the configured
`expire_after` period has passed, if present, and then be deleted. If
there is no configured `expire_after` in the retention policy, then they
will be deleted if there is at least one more recent successful snapshot
from this policy (as they may otherwise be useful for troubleshooting
purposes). Failed snapshots are not counted towards either `min_count`
or `max_count`.
Adds a check when running an Enrich policy to make sure that an Enrich index
is force merged down to one segment, and if it was not fully merged, attempts
the merge again, up to a configurable number of times.
When exceptions could be returned from another node, the exception
might be wrapped in a `RemoteTransportException`. In places where
we handled specific exceptions using `instanceof` we ought to unwrap
the cause first.
This commit attempts to fix this issue after searching code in the ML
plugin.
Backport of #47676
* Convert RunTask to use testclusers, remove ClusterFormationTasks
This PR adds a new RunTask and a way for it to start a
testclusters cluster out of band and block on it to replace
the old RunTask that used ClusterFormationTasks.
With this we can now remove ClusterFormationTasks.
Previously when retrieving an SLM policy it would always return a 200
with `{}` in the body, even if the policy did not exist. This changes
that behavior to throw an error (similar to our other APIs) if a
policy doesn't exist.
This also adds a basic CRUD yml test for the behavior.
Resolves#47664
this commit introduces a geo-match enrich processor that looks up a specific
`geo_point` field in the enrich-index for all entries that have a geo_shape match field
that meets some specific relation criteria with the input field.
For example, the enrich index may contain documents with zipcodes and their respective
geo_shape. Ingesting documents with a geo_point field can be enriched with which zipcode
they associate according to which shape they are contained within.
this commit also refactors some of the MatchProcessor by moving a lot of the shared code to
AbstractEnrichProcessor.
Closes#42639.
If a thread pool rejection exception happens, an alternative code
path is chosen to write history and delete the trigger. If an exception
happens during deletion of the trigger an exception may be thrown and not
caught.
This commit catches the exception and provides a meaning error message.
fixes#47008
When deactivating a watch, there is a chance that it is fully deactivated
and reporting as not running but the history is not fully written yet.
There is not a tight coupling between the associated watcher history
index and the deactivation. This test assumes that once a watch is
deactivated that all history is fully written in a very short time period.
If the Watch is deactivated, but the history is slow to write it can result
in a failing test.
This change removes an assertion that assumes that the deactivation of a watch
ensured the all of the watch history was written. There is still a minor race
condition with respect to the remaining history assertions. However, if the
history is slow to be written, it will allow the test to still passing.
fixes#47503
Adds the following parameters to `outlier_detection`:
- `compute_feature_influence` (boolean): whether to compute or not
feature influence scores
- `outlier_fraction` (double): the proportion of the data set assumed
to be outlying prior to running outlier detection
- `standardization_enabled` (boolean): whether to apply standardization
to the feature values
Backport of #47600
Previously, we supported only the format `{fn <FUNCTION_NAME>()}`
but other DBs like MSSQL, DB2, MariaDB/MySQL alos allow whitespaces
between `{` and `fn`. Furhermore, also some applications - like PowerBI -
generate escape sequences with spaces: `select { fn name(params) } etc.`
Add support for white spaces between `{` and the escape pattern definition
like `fn`, `ts`, `d`, `guid` etc.
Closes: #47401
(cherry picked from commit 08a22d0b393f4a76c52dabc5e7b9cafcc19c30ca)
Use case:
User with `create_doc` index privilege will be allowed to only index new documents
either via Index API or Bulk API.
There are two cases that we need to think:
- **User indexing a new document without specifying an Id.**
For this ES auto generates an Id and now ES version 7.5.0 onwards defaults to `op_type` `create` we just need to authorize on the `op_type`.
- **User indexing a new document with an Id.**
This is problematic as we do not know whether a document with Id exists or not.
If the `op_type` is `create` then we can assume the user is trying to add a document, if it exists it is going to throw an error from the index engine.
Given these both cases, we can safely authorize based on the `op_type` value. If the value is `create` then the user with `create_doc` privilege is authorized to index new documents.
In the `AuthorizationService` when authorizing a bulk request, we check the implied action.
This code changes that to append the `:op_type/index` or `:op_type/create`
to indicate the implied index action.
This commit adds support to retrieve all API keys if the authenticated
user is authorized to do so.
This removes the restriction of specifying one of the
parameters (like id, name, username and/or realm name)
when the `owner` is set to `false`.
Closes#46887
Backport of (#47582)
Today when following a new leader index, we fetch the remote cluster state,
check the remote cluster license, check the user privileges, retrieve the
index shard stats before initiating a CCR restore session.
But if the leader index to follow is closed, we're executing a bunch of
operations that would inevitability fail at some point (on retrieving the
index shard stats, because this type of request forbid closed indices
when resolving indices). We could fail a Put Follow request at the first
step by checking the leader index state directly from the remote cluster
state.
This also helps the Resume Follow API to fail a bit earlier.
* Use versions specific distribution folders so we don't need to clean up (#46539)
* Retry deleting distro dir on windows
When retarting the cluster we clean up old distribution files that might
still be in use by the OS.
Windows closes resources of ded processes async, so we do a couple of
retries to get arround it.
Closes#46014
* Avoid having to delete the distro folder.
* Remove the use of ClusterFormationTasks form RestTestTask (#47022)
This PR removes a use-case of the ClusterFormationTasks and converts a
project that flew under the radar so far.
There's probably more clean-up possible here, but for now the goal is
to be able to remove that code after `RunTask` is also updated.
* Migrate some 7.x only projects
An index with an ILM policy that has a rollover action in one of the
phases was rolled over when the ILM conditions dictated regardless if
it was already rolled over (eg. manually after modifying an index
template in order to force the creation of a new index that uses the new
mappings).
This changes this behaviour and has ILM check if the index it's about to
roll has not been rolled over in the meantime.
(cherry picked from commit 37d6106feeb9f9369519117c88a9e7e30f3ac797)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
This commit lifts the validation of the monitoring hosts setting into
the setting itself, rather than when the setting is used. This prevents
a scenario where an invalid value for the setting is accepted, but then
later fails while applying a cluster state with the invalid setting.
This adds a default for the `slm.retention_schedule` setting, setting it
to `0 30 1 * * ?` which is 1:30am every day.
Having retention unset meant that it would never be invoked and clean up
snapshots. We determined it would be better to have a default than never
to be run. When coming to a decision, we weighed the option of an
absolute time (such as 1:30am) versus a periodic invocation (like every
12 hours). In the end we decided on the absolute time because it has
better predictability and consistency than a periodic invocation, which
would rely on when the master node were elected or restarted.
Relates to #43663
Adds a pipeline that removes ids and routing from documents before indexing
them into enrich indices. Enrich documents may come from multiple indices,
and thus have id collisions on them. This pipeline ensures that documents
with colliding id fields do not clobber one another during the reindex operation
while executing an enrich policy.
* Bwc testclusters all (#46265)
Convert all bwc projects to testclusters
* Fix bwc versions config
* WIP fix rolling upgrade
* Fix bwc tests on old versions
* Fix rolling upgrade
When an ML job runs the memory required can be
broken down into:
1. Memory required to load the executable code
2. Instrumented model memory
3. Other memory used by the job's main process or
ancilliary processes that is not instrumented
Previously we added a simple fixed overhead to
account for 1 and 3. This was 100MB for anomaly
detection jobs (large because of the completely
uninstrumented categorization function and
normalize process), and 20MB for data frame
analytics jobs.
However, this was an oversimplification because
the executable code only needs to be loaded once
per machine. Also the 100MB overhead for anomaly
detection jobs was probably too high in most cases
because categorization and normalization don't use
_that_ much memory.
This PR therefore changes the calculation of memory
requirements as follows:
1. A per-node overhead of 30MB for _only_ the first
job of any type to be run on a given node - this
is to account for loading the executable code
2. The established model memory (if applicable) or
model memory limit of the job
3. A per-job overhead of 10MB for anomaly detection
jobs and 5MB for data frame analytics jobs, to
account for the uninstrumented memory usage
This change will enable more jobs to be run on the
same node. It will be particularly beneficial when
there are a large number of small jobs. It will
have less of an effect when there are a small number
of large jobs.
When API key is invalidated we do two things first it tries to trigger `ExpiredApiKeysRemover` task
and second, we do index the invalidation for the API key. The index invalidation may happen
before the `ExpiredApiKeysRemover` task is run and in that case, the API key
invalidated will also get deleted. If the `ExpiredApiKeysRemover` runs before the
API key invalidation is indexed then the API key is not deleted and will be
deleted in the future run.
This behavior was not captured in the tests related to `ExpiredApiKeysRemover`
causing intermittent failures.
This commit fixes those tests by checking if the API key invalidated is reported
back when we get API keys after invalidation and perform the checks based on that.
Closes#41747
The changes introduced in #47179 made it so that we could try to
build an SSLContext with verification mode set to None, which is
not allowed in FIPS 140 JVMs. This commit address that
* Remove eclipse conditionals
We used to have some meta projects with a `-test` prefix because
historically eclipse could not distinguish between test and main
source-sets and could only use a single classpath.
This is no longer the case for the past few Eclipse versions.
This PR adds the necessary configuration to correctly categorize source
folders and libraries.
With this change eclipse can import projects, and the visibility rules
are correct e.x. auto compete doesn't offer classes from test code or
`testCompile` dependencies when editing classes in `main`.
Unfortunately the cyclic dependency detection in Eclipse doesn't seem to
take the difference between test and non test source sets into account,
but since we are checking this in Gradle anyhow, it's safe to set to
`warning` in the settings. Unfortunately there is no setting to ignore
it.
This might cause problems when building since Eclipse will probably not
know the right order to build things in so more wirk might be necesarry.
* Add API to execute SLM retention on-demand (#47405)
This is a backport of #47405
This commit adds the `/_slm/_execute_retention` API endpoint. This
endpoint kicks off SLM retention and then returns immediately.
This in particular allows us to run retention without scheduling it
(for entirely manual invocation) or perform a one-off cleanup.
This commit also includes HLRC for the new API, and fixes an issue
in SLMSnapshotBlockingIntegTests where retention invoked prior to the
test completing could resurrect an index the internal test cluster
cleanup had already deleted.
Resolves#46508
Relates to #43663
* Fix AllocationRoutedStepTests.testConditionMetOnlyOneCopyAllocated
These tests were using randomly generated includes/excludes/requires for
routing, however, it was possible to generate mutually exclusive
allocation settings (about 1 out of 50,000 times for my runs).
This splits the test into three different tests, and removes the
randomization (it doesn't add anything to the testing here) to fix the
issue.
Resolves#47142
Fixes multiple Active Directory related tests that run against the
samba fixture. Some were failing since we changed the realm settings
format in 7.0 and a few were slightly broken in other ways.
We can move to cleanup the tests in a follow up but this work fits
better to be done with or after we move the tests from a Samba
based fixture to a real(-ish) Microsoft Active Directory based
fixture.
Resolves: #33425, #35738
While it seemed like the PUT data frame analytics action did not
have to be a master node action as the config is stored in an index
rather than the cluster state, there are other subtle nuances which
make it worthwhile to convert it. In particular, it helps maintain
order of execution for put actions which are anyhow user driven and
are expected to have low volume.
This commit converts `TransportPutDataFrameAnalyticsAction` from
a handled transport action to a master node action.
Note this means that the action might fail in a mixed cluster
but as the API is still experimental and not widely used there will
be few moments more suitable to make this change than now.
Bulk requests currently do not allow adding "create" actions with auto-generated IDs.
This commit allows using the optype CREATE for append-only indexing operations. This is
mainly the user facing aspect of it.
XPackPlugin holds data in statics and can only be initialized once. This
caused tests to fail primarily when running with a low max-workers.
Replaced usages with the LocalStateCompositeXPackPlugin, which handles
this properly for testing.
Due to #47003 many clusters will have built up a
large backlog of expired results. On upgrading to
a version where that bug is fixed users could find
that the first ML daily maintenance task deletes
a very large amount of documents.
This change introduces throttling to the
delete-by-query that the ML daily maintenance uses
to delete expired results to limit it to deleting an
average 200 documents per second. (There is no
throttling for state/forecast documents as these
are expected to be lower volume.)
Additionally a rough time limit of 8 hours is applied
to the whole delete expired data action. (This is only
rough as it won't stop part way through a single
operation - it only checks the timeout between
operations.)
Relates #47103
This commit restores the model state if available in data
frame analytics jobs.
In addition, this changes the start API so that a stopped job
can be restarted. As we now store the progress in the state index
when the task is stopped, we can use it to determine what state
the job was in when it got stopped.
Note that in order to be able to distinguish between a job
that runs for the first time and another that is restarting,
we ensure reindexing progress is reported to be at least 1
for a running task.
Due to a regression bug the metadata Active Directory realm
setting is ignored (it works correctly for the LDAP realm type).
This commit redresses it.
Closes#45848
DATE_PART(<datetime unit>, <date/datetime>) is a function that allows
the user to extract the specified unit from a date/datetime field
similar to the EXTRACT (<datetime unit> FROM <date/datetime>) but
with different names and aliases for the units and it also provides more
options like `DATE_PART('tzoffset', datetimeField)`.
Implemented following the SQL server's spec: https://docs.microsoft.com/en-us/sql/t-sql/functions/datepart-transact-sql?view=sql-server-2017
with the difference that the <datetime unit> argument is either a
literal single quoted string or gets a value from a table field, whereas
in SQL server keywords are used (unquoted identifiers) and it's not
possible to use a value coming for a table column.
Closes: #46372
(cherry picked from commit ead743d3579eb753fd314d4a58fae205e465d72e)
* [ML][Inference] adding .ml-inference* index and storage (#47267)
* [ML][Inference] adding .ml-inference* index and storage
* Addressing PR comments
* Allowing null definition, adding validation tests for model config
* fixing line length
* adjusting for backport
Benjamin Trent
Tanguy Leroux
Przemysław Witek
Albert Zaharovits
Alpar Torok
Ignacio Vera
Hendrik Muhs
Gordon Brown
Martijn van Groningen
rsarawgi
Ioannis Kakavas
Armin Braun
Dimitris Athanasiou
István Zoltán Szabó
Mark Vieira
Lee Hinman
Michael Basnight
Marios Trivyzas
Alex Pang
David Roberts
James Baiera
Jake Landis
Yogesh Gaikwad
Przemyslaw Gomulka
Nick Knize
Chris Roberson
Alexander Reelsen
Igor Motov
Costin Leau
Christoph Büscher
Andrei Stefan
Jim Ferenczi
Lisa Cawley
Tal Levy
Andrei Dan
Jason Tedor
Yannick Welsch
Henning Andersen