This commit highlights the ability for geo_point fields to be
used in geo_shape queries. It also adds an explicit geo_point
example in the geo_shape query documentation
Closes#56927.
Warn about potential performance impact when a large number of fields
is used with query string query and no default field.
Re-adds content from #35570.
That content was erroneously removed in #45296.
Co-authored-by: Peter Dyson <peter.dyson@geekpete.com>
The example looks the same as in the previous section although it should use the
"fuzziness" parameter. This seems to be okay on 6.8 and master and was probably
only forgotten to port to 7.x branches.
This commit adds a new point field that is able to index arbitrary pair of values (x/y)
in the cartesian space. It only supports filtering using shape queries at the moment.
Looking into #50237 I realized that two of the examples given in the
documentation around date math rounding for range queries on date fields using
`gt` and `lt` is slightly off by a nanosecond. This PR changes this to the
bounds that are currently parsed using these parameters.
The terms-lookup section of our terms query docs currently state that the
index, id and path fields are optional. They should be marked instead
as required.
Backport to 7x
Enable geo_shape query to work on geo_point fields for shapes: circle, polygon, multipolygon, rectangle see: #48928
Co-Authored-By: @iverase
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
Add a new cluster setting `search.allow_expensive_queries` which by
default is `true`. If set to `false`, certain queries that have
usually slow performance cannot be executed and an error message
is returned.
- Queries that need to do linear scans to identify matches:
- Script queries
- Queries that have a high up-front cost:
- Fuzzy queries
- Regexp queries
- Prefix queries (without index_prefixes enabled
- Wildcard queries
- Range queries on text and keyword fields
- Joining queries
- HasParent queries
- HasChild queries
- ParentId queries
- Nested queries
- Queries on deprecated 6.x geo shapes (using PrefixTree implementation)
- Queries that may have a high per-document cost:
- Script score queries
- Percolate queries
Closes: #29050
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
* Adds support for geo-bounds filtering in geogrid aggregations (#50002)
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.
As we discussed in #36371, interval notation is confusing to some users. This makes the intention clearer by just explaining inclusivity and exclusivity in the docs.
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")`.
James Rodewig
István Zoltán Szabó
Tal Levy
Florian Kelbert
bellengao
Christoph Büscher
Ignacio Vera
Alan Woodward
Dominic Page
Ralph Ursprung
Yash Joshi
Adam Canady
Mayya Sharipova
Marios Trivyzas
Russ Cam
Orhan Toy
Nik Everett
Ignacio Vera
Wilder Pereira
Peter Johnson
markharwood
Anton
David Woods
Ryan Ernst
Andrew Naguib
rikardbakkehaug
Suhel Khan