* 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.
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 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
This change exposes the new Lucene graph based word delimiter token filter in the analysis filters.
Unlike the `word_delimiter` this token filter named `word_delimiter_graph` correctly handles multi terms expansion at query time.
Closes#23104
This commit adds a boundary_scanner property to the search highlight
request so the user can specify different boundary scanners:
* `chars` (default, current behavior)
* `word` Use a WordBreakIterator
* `sentence` Use a SentenceBreakIterator
This commit also adds "boundary_scanner_locale" to define which locale
should be used when scanning the text.
This commit enforces the requirement of Content-Type for the REST layer and removes the deprecated methods in transport
requests and their usages.
While doing this, it turns out that there are many places where *Entity classes are used from the apache http client
libraries and many of these usages did not specify the content type. The methods that do not specify a content type
explicitly have been added to forbidden apis to prevent more of these from entering our code base.
Relates #19388
* Console-ify curl statements for allocation explain API docs
Relates to #23001
* Fix tests
* Remove exclusion from build.gradle
* Call out index creation in prose
* Add console back and skip test
This commit brings the snapshot documentation in conformity
with the CONSOLE format, and fixes the docs so that the documentation
tests can be run against them.
When nested objects are present in the mappings, many queries get deoptimized
due to the need to exclude documents that are not in the right space. For
instance, a filter is applied to all queries that prevents them from matching
non-root documents (`+*:* -_type:__*`). Moreover, a filter is applied to all
child queries of `nested` queries in order to make sure that the child query
only matches child documents (`_type:__nested_path`), which is required by
`ToParentBlockJoinQuery` (the Lucene query behing Elasticsearch's `nested`
queries).
These additional filters slow down `nested` queries. In 1.7-, the cost was
somehow amortized by the fact that we cached filters very aggressively. However,
this has proven to be a significant source of slow downs since 2.0 for users
of `nested` mappings and queries, see #20797.
This change makes the filtering a bit smarter. For instance if the query is a
`match_all` query, then we need to exclude nested docs. However, if the query
is `foo: bar` then it may only match root documents since `foo` is a top-level
field, so no additional filtering is required.
Another improvement is to use a `FILTER` clause on all types rather than a
`MUST_NOT` clause on all nested paths when possible since `FILTER` clauses
are more efficient.
Here are some examples of queries and how they get rewritten:
```
"match_all": {}
```
This query gets rewritten to `ConstantScore(+*:* -_type:__*)` on master and
`ConstantScore(_type:AutomatonQuery {\norg.apache.lucene.util.automaton.Automaton@4371da44})`
with this change. The automaton is the complement of `_type:__*` so it matches
the same documents, but is faster since it is now a positive clause. Simplistic
performance testing on a 10M index where each root document has 5 nested
documents on average gave a latency of 420ms on master and 90ms with this change
applied.
```
"term": {
"foo": {
"value": "0"
}
}
```
This query is rewritten to `+foo:0 #(ConstantScore(+*:* -_type:__*))^0.0` on
master and `foo:0` with this change: we do not need to filter nested docs out
since the query cannot match nested docs. While doing performance testing in
the same conditions as above, response times went from 250ms to 50ms.
```
"nested": {
"path": "nested",
"query": {
"term": {
"nested.foo": {
"value": "0"
}
}
}
}
```
This query is rewritten to
`+ToParentBlockJoinQuery (+nested.foo:0 #_type:__nested) #(ConstantScore(+*:* -_type:__*))^0.0`
on master and `ToParentBlockJoinQuery (nested.foo:0)` with this change. The
top-level filter (`-_type:__*`) could be removed since `nested` queries only
match documents of the parent space, as well as the child filter
(`#_type:__nested`) since the child query may only match nested docs since the
`nested` object has both `include_in_parent` and `include_in_root` set to
`false`. While doing performance testing in the same conditions as above,
response times went from 850ms to 270ms.
This pull request reuses the typed_keys parameter added in #22965, but this time it applies it to suggesters. When set to true, the suggester names in the search response will be prefixed with a prefix that reflects their type.
Jim Ferenczi
Christoph Büscher
Clinton Gormley
Jason Tedor
Robin Stocker
Jack Conradson
Jack Conradson
Pavel Chertorogov
NFM
Shashank Singh
Ali Beyad
msancho
Randall Britten
gabriel-tessier
Adrien Grand
Jürgen van Dijk
Shai Erera
Lee Hinman
Christopher Best
Alexander Reelsen
Glen Smith
Jay Modi
Andreas Roussos
markwalkom
Lee Hinman
Nik Everett
Areek Zillur
sungjunyoung
AlexNodex
Catherine Snow
Boaz Leskes
Loek van Gool
Giuseppe
Ryan Ernst
Tanguy Leroux