It is fairly common to filter the geo point candidates in
geohash_grid and geotile_grid aggregations according to some
viewable bounding box. This change introduces the option of
specifying this filter directly in the tiling aggregation.
This is even more relevant to `geo_shape` where the bounds will restrict
the shape to be within the bounds
this optional `bounds` parameter is parsed in an equivalent fashion to
the bounds specified in the geo_bounding_box query.
This intervals source will return terms that are similar to an input term, up to
an edit distance defined by fuzziness, similar to FuzzyQuery.
Closes#49595
PR #44238 changed several links related to the Elasticsearch search request body API. This updates several places still using outdated links or anchors.
This will ultimately let us remove some redirects related to those link changes.
The `filter` rule is not allowed on the top-level of the query, so removing it
from the list of allowed rules. Where it can be nested inside other rules, those
rules already mention it.
Lucene 8.4 added support for "CONTAINS", therefore in this commit those
changes are integrated in Elasticsearch. This commit contains as well a
bug fix when querying with a geometry collection with "DISJOINT" relation.
In the shape query docs, the index mapping snippet uses the "geometry"
shape field mapping. However, the doc index snippet uses the "location"
property.
This changes the "location" property to "geometry". It also adds a
comment containing the search result snippet. This should prevent
similar issues in the future.
Adds documentation for the `minimum_should_match` parameter to the `bool` query docs. Includes docs for the default values:
- `1` if the `bool` query includes at least one `should` clause and no `must` or `filter` clauses
- `0` otherwise
The default is set to Integer.MAX_VALUE but is reported to be `0` in the docs.
With the current implementation a value of 0 would mean all terms are filtered
out, which is the opposite of "unbounded".
Closes#49520
All document scores are positive 32-bit floating point numbers. However, this
wasn't previously documented.
This can result in surprising behavior, such as precision loss, for users when
customizing scores using the function score query.
This commit updates an existing admonition in the function score query docs to
document the 32-bits precision limit. It also updates the search API reference
docs to note that `_score` is a 32-bit float.
While function scores using scripts do allow explanations, they are only
creatable with an expert plugin. This commit improves the situation for
the newer script score query by adding the ability to set the
explanation from the script itself.
To set the explanation, a user would check for `explanation != null` to
indicate an explanation is needed, and then call
`explanation.set("some description")`.
Search enhancement: - new query type allows selected documents to be promoted above any "organic” search results.
This is the first feature in a new module `search-business-rules` which will house licensed (non OSS) logic for rewriting queries according to business rules.
The PinnedQueryBuilder class offers a new `pinned` query in the DSL that takes an array of promoted IDs and an “organic” query and ensures the documents with the promoted IDs rank higher than the organic matches.
Closes#44074
This commit adds a new ShapeQueryBuilder to the xpack spatial module for
querying arbitrary Cartesian geometries indexed using the new shape field
type.
The query builder extends AbstractGeometryQueryBuilder and leverages the
ShapeQueryProcessor added in the previous field mapper commit.
Tests are provided in ShapeQueryTests in the same manner as
GeoShapeQueryTests and docs are updated to explain how the query works.
* Add l1norm and l2norm distances for vectors
Add L1norm - Manhattan distance
Add L2norm - Euclidean distance
relates to #37947
* Address Christoph's feedback
- organize vector functions as a separate doc
- increase precision in tests calculations
- add a separate test when sparse doc dims
are bigger and less than query vector dims
* Made examples more realistic
Currently when a document misses a vector value, vector function
returns 0 as a score for this document. We think this is incorrect
behaviour.
With this change, an error will be thrown if vector functions are
used with docs that are missing vector doc values.
Also VectorScriptDocValues is modified to allow size() function,
which can be used to check if a document has a value for the
vector field.
Typically, dense vectors of both documents and queries must have the same
number of dimensions. Different number of dimensions among documents
or query vector indicate an error. This PR enforces that all vectors
for the same field have the same number of dimensions. It also enforces
that query vectors have the same number of dimensions.
This commit adds a wildcard intervals source, similar to the prefix. It
also changes the term parameter in prefix to read prefix, to bring it
in to line with the pattern parameter in wildcard.
Closes#43198
This commit adds a prefix intervals source, allowing you to search
for intervals that contain terms starting with a given prefix. The source
can make use of the index_prefixes mapping option.
Relates to #43198
the geo-bounding-box and phrase-suggest docs were susceptible to
failing due to other indices in the cluster. This change restricts
the queries to the index that is set up for the test.
relates to #43271.
Now emphasises the test is for indexed values.
Previous documentation only mentioned the state of the input JSON doc (null values) but this is only one of several reasons why an indexed value may not exist.
Closes#24256
The `replace` option in the phonetic token filter can have suprising side
effects, e.g. such as described in #26921. This PR adds a note to be mindful
about such scenarios and offers alternatives to using the `replace` option.
Closes#26921
For `multi_match` query: link `boost` param to the generic reference
for query usage and `slop` to the `match_phrase` query where its usage
is documented.
Fixes: #40091
Remove `common` query and `cutoff_frequency` parameter of
`match` and `multi_match` queries. Both have already been
deprecated for the next 7.x version.
Closes: #37096
* Deprecate CommonTermsQuery and cutoff_frequency
Since the max_score optimization landed in Elasticsearch 7,
the CommonTermsQuery is redundant and slower. Moreover the
cutoff_frequency parameter for MatchQuery and MultiMatchQuery
is redundant.
Relates to #27096
Removes all deprecated type-related methods from the QueryBuilders helper class
and from tests using them. Also removing related docs tests and doc pages
refering to the `type` query. All removed methods have been deprecated since
version 7.0.
As negative scores will now cause an error, and it is easy to
accidentally produce negative scores with some of the built-in modifiers
(especially `ln` and `log`), this adjusts the documentation to more
strongly recommend the use of `ln1p` and `log1p` instead.
Also corrects some awkward formatting on the note sections following the
table.
Currently, the docs correctly state that using `now` in range queries will not
be affected by the `time_zone` parameter. However, using date math roundings
like e.g. `now\d` will be affected by the `time_zone`. Adding this example
because it seems to be a frequently asked question and source of confusion.
Relates to #40581
Negative scores are no longer allowed, but the cosine similarity between two
vectors lies in the range [-1, 1], and dot products can also be negative. This commit
updates the documentation with an example of how to avoid negative scores.
To make script_score query to have the same features
as function_score query, we need to add randomScore
function.
This function produces different
random scores on different index shards.
It is also able to produce random scores
based on the internal Lucene Document Ids.
Adds the search_as_you_type field type that acts like a text field optimized
for as-you-type search completion. It creates a couple subfields that analyze
the indexed terms as shingles, against which full terms are queried, and a
prefix subfield that analyze terms as the largest shingle size used and
edge-ngrams, against which partial terms are queried
Adds a match_bool_prefix query type that creates a boolean clause of a term
query for each term except the last, for which a boolean clause with a prefix
query is created.
The match_bool_prefix query is the recommended way of querying a search as you
type field, which will boil down to term queries for each shingle of the input
text on the appropriate shingle field, and the final (possibly partial) term
as a term query on the prefix field. This field type also supports phrase and
phrase prefix queries however
This is the equivalent of the `field_masking_span` query, allowing users to
merge intervals from multiple fields - for example, to search for stemmed tokens
near unstemmed tokens.
`document_type` is the type to use for parsing the document to percolate, which
is already optional and deprecated. However `percotale` queries also have the
ability to percolate existing documents, identified by an index, an id and a
type. This change makes the latter optional and deprecated.
Closes#39963
Mayya Sharipova
Russ Cam
Tal Levy
James Rodewig
Orhan Toy
Alan Woodward
Xiang Dai
Christoph Büscher
Ignacio Vera
Peter Johnson
markharwood
Anton
David Woods
Ryan Ernst
Andrew Naguib
rikardbakkehaug
Suhel Khan
Nick Knize
Alan Woodward
rbayet
Shubham Vipul Majmudar
Marios Trivyzas
Gordon Brown
Andy Bristol
Julie Tibshirani
avshiav
Adrien Grand
MK Swanson