This reworks `CardinalityUpperBound` to support precise estimates while
maintaining most of the public API. This will allow us to make more
informed choices about the data structures that we use in aggregations.
None of those interesting choices come as part of this change, but they
are more possible with it.
This is a minor refactor where the job node load logic (node availability, etc.) is refactored into its own class.
This will allow future things (i.e. autoscaling decisions) to use the same node load detection class.
backport of #61521
This commit addresses two issues:
- per class feature importance is now written out for binary classification (logistic regression)
- The `class_name` in per class feature importance now matches what is written in the `top_classes` array.
backport of https://github.com/elastic/elasticsearch/pull/61597
- don't do encoding of asynchExecutionId if it is already provided in
the encoded form
- create a new instance of AsyncExecutionId after checks for
correctness are done
If the master node of the follower cluster is busy, then the
auto-follower will fail to initialize the following process. This also
occurs when an auto-follow pattern matches multiple indices. We should
set the timeout of put-follow requests issued by the auto-follower to
unbounded to avoid this problem.
Closes#56891
We leverage artifact transforms now when downloading and unpacking elasticsearch distributions.
This has the benefit of
- handcrafted extract tasks on the root project are not required.
- The general tight coupling to the root project has been removed.
- The overall required configurations required to handle a distribution have been reduced
- ElasticsearchDistribution has been simplified by making Extracted an ordinary Configuration
downloaded and unpacked external distributions are reused in later builds by been cached
in the gradle user home.
DistributionDownloadPlugin functional tests have been extended and ported
to DistributionDownloadPluginFuncTest.
* Fix ElasticsearchNode#getDistributionFiles (#61219)
Fixes#61647
Backport of #61474.
Part of #46106. Simplify the implementation of deprecation logging by
relying of log4j more completely, and implementing additional behaviour
through custom appenders and filters.
The fact that the data node is already blocked on writing
data files did not guarantee that the cluster state that made
the data node start snapshotting is already applied on master.
This could lead to races where the get snapshots action still
runs based on a state without the snapshot in it, tripping the assertion.
Much safer to handle this by waiting on the non-blocking snapshot create
to return, which guarantees that the CS has been applied on master.
Closes#61541
It looks like it is possible for a request to throw an exception early
before any API interaciton has happened. This can lead to the request count
map containing a `null` for the request count key.
The assertion is not correct and we should not NPE here
(as that might also hide the original exception since we are running this code in
a `finally` block from within the S3 SDK).
Closes#61670
This commit enhances the verbose output for the
`_ingest/pipeline/_simulate?verbose` api. Specifically
this adds the following:
* the pipeline processor is now included in the output
* the conditional (if) and result is now included in the output iff it was defined
* a status field is always displayed. the possible values of status are
* `success` - if the processor ran with out errors
* `error` - if the processor ran but threw an error that was not ingored
* `error_ignored` - if the processor ran but threw an error that was ingored
* `skipped` - if the process did not run (currently only possible if the if condition evaluates to false)
* `dropped` - if the the `drop` processor ran and dropped the document
* a `processor_type` field for the type of processor (e.g. set, rename, etc.)
* throw a better error if trying to simulate with a pipeline that does not exist
closes#56004
This commit adds the functionality to allocate newly created indices on nodes in the "hot" tier by
default when they are created.
This does not break existing behavior, as nodes with the `data` role are considered to be part of
the hot tier. Users that separate their deployments by using the `data_hot` (and `data_warm`,
`data_cold`, `data_frozen`) roles will have their data allocated on the hot tier nodes now by
default.
This change is a little more complicated than changing the default value for
`index.routing.allocation.include._tier` from null to "data_hot". Instead, this adds the ability to
have a plugin inject a setting into the builder for a newly created index. This has the benefit of
allowing this setting to be visible as part of the settings when retrieving the index, for example:
```
// Create an index
PUT /eggplant
// Get an index
GET /eggplant?flat_settings
```
Returns the default settings now of:
```json
{
"eggplant" : {
"aliases" : { },
"mappings" : { },
"settings" : {
"index.creation_date" : "1597855465598",
"index.number_of_replicas" : "1",
"index.number_of_shards" : "1",
"index.provided_name" : "eggplant",
"index.routing.allocation.include._tier" : "data_hot",
"index.uuid" : "6ySG78s9RWGystRipoBFCA",
"index.version.created" : "8000099"
}
}
}
```
After the initial setting of this setting, it can be treated like any other index level setting.
This new setting is *not* set on a new index if any of the following is true:
- The index is created with an `index.routing.allocation.include.<anything>` setting
- The index is created with an `index.routing.allocation.exclude.<anything>` setting
- The index is created with an `index.routing.allocation.require.<anything>` setting
- The index is created with a null `index.routing.allocation.include._tier` value
- The index was created from an existing source metadata (shrink, clone, split, etc)
Relates to #60848
The check introduced by #60640 for scroll searches, in which we log
if the index access control before the query and fetch phases differs
from when the scroll context is created, is too strict, leading to spurious
warning log messages.
The check verifies instance equality but this assumes that the fetch
phase is executed in the same thread context as the scroll context
validation. However, this is not true if the scroll search is executed
cross-cluster, and even for local scroll searches it is an unfounded assumption.
The check is hence reduced to a null check for the index access.
The fact that the access control is suitable given the indices that
are actually accessed (by the scroll) will be done in a follow-up,
after we better regulate the creation of index access controls in general.
Runtime fields need to have a SearchLookup available, when building their fielddata implementations, so that they can look up other fields, runtime or not.
To achieve that, we add a Supplier<SearchLookup> argument to the existing MappedFieldType#fielddataBuilder method.
As we introduce the ability to look up other fields while building fielddata for mapped fields, we implicitly add the ability for a field to require other fields. This requires some protection mechanism that detects dependency cycles to prevent stack overflow errors.
With this commit we also introduce detection for cycles, as well as a limit on the depth of the references for a runtime field. Note that we also plan on introducing cycles detection at compile time, so the runtime cycles detection is a last resort to prevent stack overflow errors but we hope that we can reject runtime fields from being registered in the mappings when they create a cycle in their definition.
Note that this commit does not introduce any production implementation of runtime fields, but is rather a pre-requisite to merge the runtime fields feature branch.
This is a breaking change for MapperPlugins that plug in a mapper, as the signature of MappedFieldType#fielddataBuilder changes from taking a single argument (the index name), to also accept a Supplier<SearchLookup>.
Relates to #59332
Co-authored-by: Nik Everett <nik9000@gmail.com>
The domain part of a Cloud-Id can contain an optional custom port, e.g.
cloud.example.org:9443. This feature is used for Elastic Cloud
Enterprise installations that can't use the default port 443.
This change fixes RestClient.build() to correctly handle custom ports.
Replaces the superclass of the test for `HistogramFieldMapperTests` with
one that doesn't extend `ESSingleNodeTestCase` so we don't depend on the
entire world to test the field mapper.
Continues #61301.
Today we sometimes notify a listener of completion while holding
`SparseFileTracker#mutex`. This commit move all such calls out from
under the mutex and adds assertions that the mutex is not held in the
listener.
Closes#61520
Errors from bad mappings at index creation are currently logged at DEBUG level, which
can make it difficult to work out what's going on if the index is being auto-created. This
commit ups the log level to INFO for auto-created indices, and includes some more
information in the log message.
1. Get rid of the capturing lambda on the hot path that inlines very badly
2. Remove as many bounds checks as possible, thereby reducing method size and improving inlining
Today the `CoordinatorTests` run the publication process as a single
atomic action; however in production it appears possible that another
master may be elected, publish its state, then fail, then we win another
election, all in between the time we sampled our previous cluster state
and started to publish the one we first thought of.
This violates the `assertClusterStateConsistency()` assertion that
verifies the cluster state update event matches the states we actually
published and applied.
This commit adjusts the tests to run the publication process more
asynchronously so as to allow time for this behaviour to occur. This
should eventually result in a reproduction of the failure in #61437 that
will let us analyse what's really going on there and help us fix it.
Inference processors asynchronously usage write stats to the .ml-stats index after they used.
In tests the write can leak into the next test causing failures depending on which test follows.
This change waits for the usage stats docs to be written at the end of the test
Boice Huang
Lisa Cawley
Nik Everett
James Rodewig
Benjamin Trent
Dan Hermann
Adam Locke
Rene Groeschke
Jason Tedor
Mayya Sharipova
Nhat Nguyen
Rory Hunter
Henning Andersen
Armin Braun
Ioannis Kakavas
Jake Landis
Lee Hinman
Albert Zaharovits
Luca Cavanna
Sylvain Wallez
David Turner
Alan Woodward
David Kyle