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.
* 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.
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.
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
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
- Build paths with PathUtils#get instead of hard-coding a string with
forward slashes.
- Do not try to match the whole message that includes paths. The
file separator is `\\` in windows but when we throw an Elasticsearch
Exception, the message is formatted with LoggerMessageFormat#format
which replaces `\\` with `\` in Path names. That means that in Windows
the Exception message will contain paths with single backslashes while
the expected string that comes from Path#toString on filename and
env.configFile will contain double backslashes. There is no point in
attempting to match the whole message string for the purpose of this test.
Resolves: #45598
Add examples of failures for both sql and csv integeration
tests and instructions on how to mute them.
(cherry picked from commit 591bba46516d770f5fc95a4c536dd7448b74dd49)
As a result of #45689 snapshot finalization started to
take significantly longer than before. This may be a
little unfortunate since it increases the likelihood
of failing to finalize after having written out all
the segment blobs.
This change parallelizes all the metadata writes that
can safely run in parallel in the finalization step to
speed the finalization step up again. Also, this will
generally speed up the snapshot process overall in case
of large number of indices.
This is also a nice to have for #46250 since we add yet
another step (deleting of old index- blobs in the shards
to the finalization.
When an integration test fails before the assertion of the results it's
missing information, like the file name and the line in the file where
the test resides.
(cherry picked from commit 683dc7213311d13c81e06829e08f3f9f80ebf73a)
Previously, if a column (field, scalar, alias) appeared more than once in the
SELECT list, the value was returned only once (1st appearance) in each row.
Fixes: #41811
(cherry picked from commit 097ea36581a751605fc4f2088319d954ce35b5d1)
Currently the policy config is placed directly in the json object
of the toplevel `policies` array field. For example:
```
{
"policies": [
{
"match": {
"name" : "my-policy",
"indices" : ["users"],
"match_field" : "email",
"enrich_fields" : [
"first_name",
"last_name",
"city",
"zip",
"state"
]
}
}
]
}
```
This change adds a `config` field in each policy json object:
```
{
"policies": [
{
"config": {
"match": {
"name" : "my-policy",
"indices" : ["users"],
"match_field" : "email",
"enrich_fields" : [
"first_name",
"last_name",
"city",
"zip",
"state"
]
}
}
}
]
}
```
This allows us in the future to add other information about policies
in the get policy api response.
The UI will consume this API to build an overview of all policies.
The UI may in the future include additional information about a policy
and the plan is to include that in the get policy api, so that this
information can be gathered in a single api call.
An example of the information that is likely to be added is:
* Last policy execution time
* The status of a policy (executing, executed, unexecuted)
* Information about the last failure if exists
A refactoring in 6.6 meant that the ML daily
maintenance actions have not been run at all
since then. This change installs the local
master listener that schedules the ML daily
maintenance, and also defends against some
subtle race conditions that could occur in the
future if a node flipped very quickly between
master and non-master.
Fixes#47003
These settings were using get raw to fallback to whether or not SSL is
enabled. Yet, we have a formal mechanism for falling back to a
setting. This commit cuts over to that formal mechanism.
When we added support for wildcard application names, we started to build
the prefix query along with the term query but we used 'filter' clause
instead of 'should', so this would not fetch the correct application
privilege descriptor thereby failing the _has_privilege checks.
This commit changes the clause to use should and with minimum_should_match
as 1.
Backport of #45794 to 7.x. Convert most `awaitBusy` calls to
`assertBusy`, and use asserts where possible. Follows on from #28548 by
@liketic.
There were a small number of places where it didn't make sense to me to
call `assertBusy`, so I kept the existing calls but renamed the method to
`waitUntil`. This was partly to better reflect its usage, and partly so
that anyone trying to add a new call to awaitBusy wouldn't be able to find
it.
I also didn't change the usage in `TransportStopRollupAction` as the
comments state that the local awaitBusy method is a temporary
copy-and-paste.
Other changes:
* Rework `waitForDocs` to scale its timeout. Instead of calling
`assertBusy` in a loop, work out a reasonable overall timeout and await
just once.
* Some tests failed after switching to `assertBusy` and had to be fixed.
* Correct the expect templates in AbstractUpgradeTestCase. The ES
Security team confirmed that they don't use templates any more, so
remove this from the expected templates. Also rewrite how the setup
code checks for templates, in order to give more information.
* Remove an expected ML template from XPackRestTestConstants The ML team
advised that the ML tests shouldn't be waiting for any
`.ml-notifications*` templates, since such checks should happen in the
production code instead.
* Also rework the template checking code in `XPackRestTestHelper` to give
more helpful failure messages.
* Fix issue in `DataFrameSurvivesUpgradeIT` when upgrading from < 7.4
We disable MSU optimization if the local checkpoint is smaller than
max_seq_no_of_updates. Hence, we need to relax the MSU assertion in
FollowingEngine for that scenario. Suppose the leader has three
operations: index-0, delete-1, and index-2 for the same doc Id. MSU on
the leader is 1 as index-2 is an append. If the follower applies index-0
then index-2, then the assertion is violated.
Closes#47137
To be on the safe side in terms of use cases also add the alias
DATETRUNC to the DATE_TRUNC function.
Follows: #46473
(cherry picked from commit 9ac223cb1fc66486f86e218fa785a32b61e9bacc)
Drop the usage of `SimpleDateFormat` and use the `DateFormatter` instead
(cherry picked from commit 7cf509a7a11ecf6c40c44c18e8f03b8e81fcd1c2)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
In some cases, the fetch size affects the way the groups are returned
causing the last page to go beyond the limit. Add dedicated check to
prevent extra data from being returned.
Fix#47002
(cherry picked from commit f4c29646f097bbd29855300342823ef4cef61c05)
Enables support for Cartesian geometries shape type. We still need to
decide how to handle the distance function since it is currently using
the haversine distance formula and returns results in meters, which
doesn't make any sense for Cartesian geometries.
Closes#46412
Relates to #43644
When the ML native multi-node tests use _cat/indices/_all
and the request goes to a non-master node, _all is
translated to a list of concrete indices by the authz layer
on the coordinating node before the request is forwarded
to the master node. Then it is possible for the master
node to return an index_not_found_exception if one of
the concrete indices that was expanded on the
coordinating node has been deleted in the meantime.
(#47159 has been opened to track the underlying problem.)
It has been observed that the index that gets deleted when
the problem affects the ML native multi-node tests is
always the ML notifications index. The tests that fail are
only interested in the presence or absense of ML results
indices. Therefore the workaround is to only _cat indices
that match the ML results index pattern.
Fixes#45652
This change also slightly modifies the stats response,
so that is can easier consumer by monitoring and other
users. (coordinators stats are now in a list instead of
a map and has an additional field for the node id)
Relates to #32789
In the current implementation, the validation of the role query
occurs at runtime when the query is being executed.
This commit adds validation for the role query when creating a role
but not for the template query as we do not have the runtime
information required for evaluating the template query (eg. authenticated user's
information). This is similar to the scripts that we
store but do not evaluate or parse if they are valid queries or not.
For validation, the query is evaluated (if not a template), parsed to build the
QueryBuilder and verify if the query type is allowed.
Closes#34252
This change merges the `ShardSearchTransportRequest` and `ShardSearchLocalRequest`
into a single `ShardSearchRequest` that can be used to create a SearchContext.
Relates #46523
This commit adds support for POST requests to the SLM `_execute` API,
because POST is a more appropriate HTTP verb for this action as it is
not idempotent. The docs are also changed to favor POST over PUT,
although PUT is not removed or officially deprecated.
* ILM: parse origination date from index name (#46755)
Introduce the `index.lifecycle.parse_origination_date` setting that
indicates if the origination date should be parsed from the index name.
If set to true an index which doesn't match the expected format (namely
`indexName-{dateFormat}-optional_digits` will fail before being created.
The origination date will be parsed when initialising a lifecycle for an
index and it will be set as the `index.lifecycle.origination_date` for
that index.
A user set value for `index.lifecycle.origination_date` will always
override a possible parsable date from the index name.
(cherry picked from commit c363d27f0210733dad0c307d54fa224a92ddb569)
Signed-off-by: Andrei Dan <andrei.dan@elastic.co>
* Drop usage of Map.of to be java 8 compliant
* Wait for snapshot completion in SLM snapshot invocation
This changes the snapshots internally invoked by SLM to wait for
completion. This allows us to capture more snapshotting failure
scenarios.
For example, previously a snapshot would be created and then registered
as a "success", however, the snapshot may have been aborted, or it may
have had a subset of its shards fail. These cases are now handled by
inspecting the response to the `CreateSnapshotRequest` and ensuring that
there are no failures. If any failures are present, the history store
now stores the action as a failure instead of a success.
Relates to #38461 and #43663
Using arrays of objects with embedded IDs is preferred for new APIs over
using entity IDs as JSON keys. This commit changes the SLM stats API to
use the preferred format.
* [ML][Inference] Feature pre-processing objects and functions (#46777)
To support inference on pre-trained machine learning models, some basic feature encoding will be necessary. I am using a named object serialization approach so new encodings/pre-processing steps could be added in the future.
This PR lays down the ground work for 3 basic encodings:
* HotOne
* Target Mean
* Frequency
More feature encodings or pre-processings could be added in the future:
* Handling missing columns
* Standardization
* Label encoding
* etc....
* fixing compilation for namedxcontent tests
Andrei Stefan
Hendrik Muhs
Martijn van Groningen
Mark Vieira
Armin Braun
Gordon Brown
Tanguy Leroux
Jim Ferenczi
Jake Landis
Lee Hinman
James Baiera
Dimitris Athanasiou
Alpar Torok
Benjamin Trent
Tal Levy
Marios Trivyzas
Yogesh Gaikwad
Andrei Dan
Jason Tedor
Przemysław Witek
David Roberts
Ioannis Kakavas
Yannick Welsch
Henning Andersen
Michael Basnight
Albert Zaharovits
emasab
Rory Hunter
Nhat Nguyen
James Rodewig
Costin Leau
Igor Motov