The docs don't clearly explain that the deleted doc count also comes from lucene.
IMHO, it is worth highlighting this information separately, as a Note.
Apart from that, there should be an official recommended alternative as well.
Today Elasticsearch allows default settings to be used only if the
actual setting is not set. These settings are trappy, and the complexity
invites bugs. This commit removes support for default settings with the
exception of default.path.data, default.path.conf, and default.path.logs
which are maintainted to support packaging. A follow-up will remove
support for these as well.
Relates #24093
Drops any mention of non-sandboxed scripting languages other than a
brief "we don't support them and we shouldn't because A and B"
statement.
Relates to #23930
Now that we have incremental reduce functions for topN and aggregations
we can set the default for `action.search.shard_count.limit` to unlimited.
This still allows users to restrict these settings while by default we executed
across all shards matching the search requests index pattern.
_field_stats has evolved quite a lot to become a multi purpose API capable of retrieving the field capabilities and the min/max value for a field.
In the mean time a more focused API called `_field_caps` has been added, this enpoint is a good replacement for _field_stats since he can
retrieve the field capabilities by just looking at the field mapping (no lookup in the index structures).
Also the recent improvement made to range queries makes the _field_stats API obsolete since this queries are now rewritten per shard based on the min/max found for the field.
This means that a range query that does not match any document in a shard can return quickly and can be cached efficiently.
For these reasons this change deprecates _field_stats. The deprecation should happen in 5.4 but we won't remove this API in 6.x yet which is why
this PR is made directly to 6.0.
The rest tests have also been adapted to not throw an error while this change is backported to 5.4.
This commit upgrades the Log4j dependencies from version 2.7 to version
2.8.2. This release includes a fix for a case where Log4j could lose
exceptions in the presence of a security manager.
Relates #23995
This commit removes some leniency from the plugin service which skips
hidden files in the plugins directory. We really want to ensure the
integrity of the plugin folder, so hasta la vista leniency.
Relates #23982
They needed to be updated now that Painless is the default and
the non-sandboxed scripting languages are going away or gone.
I dropped the entire section about customizing the classloader
whitelists. In master this barely does anything (exposes more
things to expressions).
Before now ranges where forbidden, because the percolator query itself could get cached and then the percolator queries with now ranges that should no longer match, incorrectly will continue to match.
By disabling caching when the `percolator` is being used, the percolator can now correctly support range queries with now based ranges.
I think this is the right tradeoff. The percolator query is likely to not be the same between search requests and disabling range queries with now ranges really disabled people using the percolator for their use cases.
Also fixed an issue that existed in the percolator fieldmapper, it was unable to find forbidden queries inside `dismax` queries.
Closes#23859
While there are use-cases where a single-node is in production, there
are also use-cases for starting a single-node that binds transport to an
external interface where the node is not in production (for example, for
testing the transport client against a node started in a Docker
container). It's tricky to balance the desire to always enforce the
bootstrap checks when a node might be in production with the need for
the community to perform testing in situations that would trip the
bootstrap checks. This commit enables some flexibility for these
users. By setting the discovery type to "single-node", we disable the
bootstrap checks independently of how transport is bound. While this
sounds like a hole in the bootstrap checks, the bootstrap checks can
already be avoided in the single-node use-case by binding only HTTP but
not transport. For users that are genuinely in production on a
single-node use-case with transport bound to an external use-case, they
can set the system property "es.enable.bootstrap.checks" to force
running the bootstrap checks. It would be a mistake for them not to do
this.
Relates #23598
Fielddata can no longer be configured to be loaded eagerly (it only accepts
`true` and `false`), so this line is a little misleading because it talks about
a procedure we can no longer do.
With this commit, Azure repositories are now using an Exponential Backoff policy before failing the backup.
It uses Azure SDK default values for this policy:
* `30s` delta backoff base with
* `3s` min
* `90s` max
* `3` retries max
Users can define the number of retries they wish by setting `cloud.azure.storage.xxx.max_retries` where `xxx` is the azure named account.
Closes#22728.
Converts the analysis docs to that were marked as json into `CONSOLE`
format. A few of them were in yaml but marked as json for historical
reasons. I added more complete examples for a few of the less obvious
sounding ones.
Relates to #18160
The pattern-analyzer docs contained a snippet that was an expanded
regex that was marked as `[source,js]`. This changes it to
`[source,regex]`.
The htmlstrip-charfilter and pattern-replace-charfilter docs had
examples that were actually a list of tokens but marked `[source,js]`.
This marks them as `[source,text]` so they don't count as unconverted
CONSOLE snippets.
The pattern-replace-charfilter also had a doc who's test was
skipped because of funny interaction with the test framework. This
fixes the test.
Three more down, eighty-two to go.
Relates to #18160
CONSOLEifies the lang-analyzer docs and replaces the (invalid)
empty `keyword_marker` setups that were on the page with one
that contains the word "example" translated into the appropriate
language.
Relates to #18160
This change introduces a new API called `_field_caps` that allows to retrieve the capabilities of specific fields.
Example:
````
GET t,s,v,w/_field_caps?fields=field1,field2
````
... returns:
````
{
"fields": {
"field1": {
"string": {
"searchable": true,
"aggregatable": true
}
},
"field2": {
"keyword": {
"searchable": false,
"aggregatable": true,
"non_searchable_indices": ["t"]
"indices": ["t", "s"]
},
"long": {
"searchable": true,
"aggregatable": false,
"non_aggregatable_indices": ["v"]
"indices": ["v", "w"]
}
}
}
}
````
In this example `field1` have the same type `text` across the requested indices `t`, `s`, `v`, `w`.
Conversely `field2` is defined with two conflicting types `keyword` and `long`.
Note that `_field_caps` does not treat this case as an error but rather return the list of unique types seen for this field.
I managed to push the last one without testing it because I'd changed
the way I run tests locally and hadn't picked it up. Ooops. This one
works better.
All the docs for the `exists` query that aren't marked as `CONSOLE`
aren't actually `CONSOLE`-worthy so this marks them as `NOTCONSOLE`.
It also rewrites the text around `missing` query. Since it was
removed in 5.0 we don't need to talk about it in the 6.0 docs.
Relates to #18160
Turns the top example in each of the geo aggregation docs into a working
example that can be opened in CONSOLE. Subsequent examples can all also
be opened in console and will work after you've run the first example.
All examples are tested as part of the build.
This commit clarifies the preference docs regarding the explanation of
how operations are routed by default. In particular, the previous use of
"shard replicas" was confusing as it could imply an operation would only
be routed to replicas by default.
Relates #23794
This commit adds support for the pattern keyword marker filter in
Lucene. Previously, the keyword marker filter in Elasticsearch
supported specifying a keywords set or a path to a set of keywords.
This commit exposes the regular expression pattern based keyword marker
filter also available in Lucene, so that any token matching the pattern
specified by the `keywords_pattern` setting is excluded from being
stemmed by any stemming filters.
Closes#4877
As the query of a search request defaults to match_all,
calling _delete_by_query without an explicit query may
result in deleting all data.
In order to protect users against falling into that
pitfall, this commit adds a check to require the explicit
setting of a query.
Closes#23629
This commit adds the boolean similarity scoring from Lucene to
Elasticsearch. The boolean similarity provides a means to specify that
a field should not be scored with typical full-text ranking algorithms,
but rather just whether the query terms match the document or not.
Boolean similarity scores a query term equal to its query boost only.
Boolean similarity is available as a default similarity option and thus
a field can be specified to have boolean similarity by declaring in its
mapping:
"similarity": "boolean"
Closes#6731
This commit addresses an issue with the docs for plugin install via a
proxy on Windows where the HTTP proxy options were incorrectly
specified.
Relates #23757
The OpenJDK project provides early-access builds of upcoming
releases. These early-access builds are not suitable for
production. These builds sometimes end up on systems due to aggressive
packaging (e.g., Ubuntu). This commit adds a bootstrap check to ensure
these early-access builds are not being used in production.
Relates #23743
This is especially useful when we rewrite the query because the result of the rewrite can be very different on different shards. See #18254 for example.
* Add support for fragment_length in the unified highlighter
This commit introduce a new break iterator (a BoundedBreakIterator) designed for the unified highlighter
that is able to limit the size of fragments produced by generic break iterator like `sentence`.
The `unified` highlighter now supports `boundary_scanner` which can `words` or `sentence`.
The `sentence` mode will use the bounded break iterator in order to limit the size of the sentence to `fragment_length`.
When sentences bigger than `fragment_length` are produced, this mode will break the sentence at the next word boundary **after**
`fragment_length` is reached.
The reindex API is mature now, and we will work to maintain backwards
compatibility in accordance with our backwards compatibility
policy. This commit unmarks the reindex API as experimental.
Relates #23621
In SI units, "kilobyte" or "kB" would mean 1000 bytes, whereas "KiB" is
used for 1024. Add a note in `api-conventions.asciidoc` to clarify the
meaning in Elasticsearch.
In this repository, `Settings.builder` is used everywhere although it does exactly same as `Settings.settingsBuilder`. With the reference of the commit 42526ac28e , I think mistakenly this `Settings.settingsBuilder` remains in.
This commit adds a system property that enables end-users to explicitly
enforce the bootstrap checks, independently of the binding of the
transport protocol. This can be useful for single-node production
systems that do not bind the transport protocol (and thus the bootstrap
checks would not be enforced).
Relates #23585
This commit adds a note to the resiliency status page regarding the fact
that replicas can fall out of sync with the primary shard after primary
promotion occurs due to a failing primary shard.
Relates #23503
This commit adds the size of the cluster state to the response for the
get cluster state API call (GET /_cluster/state). The size that is
returned is the size of the full cluster state in bytes when compressed.
This is the same size of the full cluster state when serialized to
transmit over the network. Specifying the ?human flag displays the
compressed size in a more human friendly manner. Note that even if the
cluster state request filters items from the cluster state (so a subset
of the cluster state is returned), the size that is returned is the
compressed size of the entire cluster state.
Closes#3415
Throw error when skip or do sections are malformed, such as they don't start with the proper token (START_OBJECT). That signals bad indentation, which would be ignored otherwise. Thanks (or due to) our pull parsing code, we were still able to properly parse the sections, yet other runners weren't able to.
Closes#21980
* [TEST] fix indentation in matrix_stats yaml tests
* [TEST] fix indentation in painless yaml test
* [TEST] fix indentation in analysis yaml tests
* [TEST] fix indentation in generated docs yaml tests
* [TEST] fix indentation in multi_cluster_search yaml tests
BUPTAnderson
Sakthipriyan Vairamani
Emir Beganović
Himanshu Bhandoh
Andrew Selden
Ulugbek Baymuradov
Ryan Ernst
Nik Everett
Suhas Karanth
Lee Hinman
Jason Tedor
debadair
Dmitriy Troyan
Simon Willnauer
Jim Ferenczi
Martijn van Groningen
Jayant Ameta
Alex Chan
wyukawa
David Pilato
Clinton Gormley
Christoph Wurm
Ali Beyad
Abdon Pijpelink
Glen Smith
Dimitris Athanasiou
Shane Connelly
Robin Clarke
Igor Motov
Stefan Gorgiovski
Florian Hopf
Minwoo Kim
Max Goodridge
Arnaud Venturi
Christoph Büscher
Robin Stocker
Md.Abdulla-Al-Sun
Jack Conradson
Jack Conradson
Pavel Chertorogov
NFM
Shashank Singh
Luca Cavanna
msancho
Randall Britten
gabriel-tessier
Adrien Grand