Lucene's RAMDirectory has been deprecated. This commit replaces all uses of
RAMDirectory in elasticsearch with the newer ByteBuffersDirectory. Most uses
are in tests, but the percolator and painless executor may get some small speedups.
The block setup by the test could be released by the nodes cluster info
thread before the disk threshold decider was disabled, now disable
decider first.
Adds an explicit "important" admonition discouraging apps from using
cat APIs.
cat APIs are intended for human consumption via the command line or
Kibana console only. They are not intended for consumption by
applications.
Currently, date ranges queries using NOW-based date math are rewritten to
MatchAllDocs queries when being preprocessed for the percolator. However,
since we added the verification step, this can result in incorrect matches when
percolator queries are run without scores. This commit changes things to instead
wrap date queries that use NOW with a new DateRangeIncludingNowQuery.
This is a simple wrapper query that returns its delegate at rewrite time, but it can
be detected by the percolator QueryAnalyzer and be dealt with accordingly.
This also allows us to remove a method on QueryRewriteContext, and push all
logic relating to NOW-based ranges into the DateFieldMapper.
Fixes#52617
The existing wording in the file realm docs proved confusing
for users as it seemed to indicate that it should _only_ be
used as a fallback/recovery realm and that it is not a
first class realm.
This change attempts to clarify this and point out that recovery
is _a_ use case for the file realm but not the only intended one.
Indices open with the `niofs` store type load much more data on-heap than
indices open with the `mmapfs` store type. This limitation is now documented
and examples have been updated to show how to update settings to use the
`mmapfs` store type rather than `niofs`.
We should be more explicit about the downsides of disabling replicas and
explain that users should be ready to re-do the entire load in case of
issues mid-way.
One architecture that we have recommended to several users to speed up
indexing involved using CCR to prevent searching from stealing resources
from indexing.
When installing plugins from remote sources, either the Elastic download
service, or maven, a checksum file is downloaded and checked against the
downloaded zip. The current format for official plugins is to use a
sha512 checksum which includes the zip filename. This format matches
that from sha512sum, and allows using the --check argument there to
verify the checksum manually. However, when generating checksum files
with maven and gradle, the filename is not included.
This commit relaxes the requirement the filename existing within the
sha512 checksum file for maven plugins. We continue to strictly enforce
official plugins have the existing format of the file.
closes#52413
These tests didn't work properly when run against multi-shard indices.
The `_score` based sorting test expects fairly specific scores which
isn't going to happen with multiple shards so this disables multiple
shards for that test. The other tests were failing due to a fairly
sneaky race condition around `_bulk` and type inference. This fixes them
by always sending metric values as floating point numbers so
Elasticsearch always infers them to be doubles.
When the Node class is being constructed, an initial environment is
passed in with the initial settings for the node. Once the plugin
servicie is initialized, the final Environment+Settings are created, at
which point the initial environment should no longer be used. This
commit renames the constructor arg to avoid naming clashes with the
final environment variable.
The sql-cli script sources x-pack-env, but it does so assuming the
current directory is ES_HOME. This commit alters the source command to
use ES_HOME which is available after running elasticsearch-env.
closes#47803
Before boost in script_score query was wrongly applied only to the subquery.
This commit makes sure that the boost is applied to the whole score
that comes out of script.
Closes#48465
In #42838 we moved the terms index of all fields off-heap except the
`_id` field because we were worried it might make indexing slower. In
general, the indexing rate is only affected if explicit IDs are used, as
otherwise Elasticsearch almost never performs lookups in the terms
dictionary for the purpose of indexing. So it's quite wasteful to
require the terms index of `_id` to be loaded on-heap for users who have
append-only workloads. Furthermore I've been conducting benchmarks when
indexing with explicit ids on the http_logs dataset that suggest that
the slowdown is low enough that it's probably not worth forcing the terms
index to be kept on-heap. Here are some numbers for the median indexing
rate in docs/s:
| Run | Master | Patch |
| --- | ------- | ------- |
| 1 | 45851.2 | 46401.4 |
| 2 | 45192.6 | 44561.0 |
| 3 | 45635.2 | 44137.0 |
| 4 | 46435.0 | 44692.8 |
| 5 | 45829.0 | 44949.0 |
And now heap usage in MB for segments:
| Run | Master | Patch |
| --- | ------- | -------- |
| 1 | 41.1720 | 0.352083 |
| 2 | 45.1545 | 0.382534 |
| 3 | 41.7746 | 0.381285 |
| 4 | 45.3673 | 0.412737 |
| 5 | 45.4616 | 0.375063 |
Indexing rate decreased by 1.8% on average, while memory usage decreased
by more than 100x.
The `http_logs` dataset contains small documents and has a simple
indexing chain. More complex indexing chains, e.g. with more fields,
ingest pipelines, etc. would see an even lower decrease of indexing rate.
Explicitly notes the Elasticsearch API endpoints that support CCS.
This should deter users from attempting to use CCS with other API
endpoints, such as `GET <index>/_doc/<_id>`.
Add validation for the following logfile audit settings:
xpack.security.audit.logfile.events.include
xpack.security.audit.logfile.events.exclude
xpack.security.audit.logfile.events.ignore_filters.*.users
xpack.security.audit.logfile.events.ignore_filters.*.realms
xpack.security.audit.logfile.events.ignore_filters.*.roles
xpack.security.audit.logfile.events.ignore_filters.*.indices
Closes#52357
Relates #47711#47038
Follows the example from #47246
* Adds an example request to the top of the page.
* Relocates several parameters erroneously listed under "Request body"
to the appropriate "Query parameters" section.
* Updates the "Request body" section to better document the NDJSON
structure of msearch requests.
Add default value to each one of the usages of `allow_no_indices`
since it differs between different APIs.
Relates to: #52534
(cherry picked from commit 2eb986488ac326d6da6ab8ad0203a94e08684a36)
This drops more of the `instanceof`s from `AggregationPath`. There are
still a couple in `AggregationPath`. And I ended up moving two into
`BucketsAggregator`, but I think this is still an improvement!
We consider index level read_only_allow_delete blocks temporary since
the DiskThresholdMonitor can automatically release those when an index
is no longer allocated on nodes above high threshold.
The rest status has therefore been changed to 429 when encountering this
index block to signal retryability to clients.
Related to #49393
When a license expires, or license state changes, functionality might be
disabled. This commit adds messages for CCR to inform users that CCR
functionality will be disabled when a license expires, or when license
state changes to a license level lower than trial/platinum/enterprise.
This adds machine learning model feature importance calculations to the inference processor.
The new flag in the configuration matches the analytics parameter name: `num_top_feature_importance_values`
Example:
```
"inference": {
"field_mappings": {},
"model_id": "my_model",
"inference_config": {
"regression": {
"num_top_feature_importance_values": 3
}
}
}
```
This will write to the document as follows:
```
"inference" : {
"feature_importance" : {
"FlightTimeMin" : -76.90955548511226,
"FlightDelayType" : 114.13514762158526,
"DistanceMiles" : 13.731580450792187
},
"predicted_value" : 108.33165831875137,
"model_id" : "my_model"
}
```
This is done through calculating the [SHAP values](https://arxiv.org/abs/1802.03888).
It requires that models have populated `number_samples` for each tree node. This is not available to models that were created before 7.7.
Additionally, if the inference config is requesting feature_importance, and not all nodes have been upgraded yet, it will not allow the pipeline to be created. This is to safe-guard in a mixed-version environment where only some ingest nodes have been upgraded.
NOTE: the algorithm is a Java port of the one laid out in ml-cpp: https://github.com/elastic/ml-cpp/blob/master/lib/maths/CTreeShapFeatureImportance.cc
usability blocked by: https://github.com/elastic/ml-cpp/pull/991
Alan Woodward
Nik Everett
Aleksandr Maus
Pius
Henning Andersen
bellengao
David Pilato
David Roberts
James Rodewig
Ioannis Kakavas
Adrien Grand
Bob Blank
Mark Vieira
Andrei Stefan
Julie Tibshirani
Ryan Ernst
lcawl
Lee Hinman
Mayya Sharipova
Przemko Robakowski
David Kyle
Albert Zaharovits
Ignacio Vera
Marios Trivyzas
Martijn van Groningen
Yang Wang
Jason Tedor
Benjamin Trent