Similar to #82409, but for geo_point fields.
Allows searching on geo_point fields when those fields are not indexed (index: false) but just doc values are enabled.
Also adds distance feature query support for date fields (bringing date field to feature parity with runtime fields)
This enables searches on archive data, which has access to doc values but not index structures. When combined with
searchable snapshots, it allows downloading only data for a given (doc value) field to quickly filter down to a select set
of documents.
Relates #81210 and #52728
* [DOCS] Update dynamic mapping docs to clarify supported match_mapping_type
* Add ES data type column header
* Remove sentence about always choosing the larger data type
* Clarify that JSON doesn't distinguish types
* Add frame to table
Updates and reuses a warning against creating multi-level `join` fields to make it more prominent.
The current warning is low on the page, where some users may not seeing until they've already begun mapping fields.
Closes https://github.com/elastic/elasticsearch/issues/82818.
Allows searching on ip fields when those fields are not indexed (index: false) but just doc values are enabled.
This enables searches on archive data, which has access to doc values but not index structures. When combined with
searchable snapshots, it allows downloading only data for a given (doc value) field to quickly filter down to a select set
of documents.
Relates #81210 and #52728
Allows searching on boolean fields when those fields are not indexed (index: false) but just doc values are enabled.
This enables searches on archive data, which has access to doc values but not index structures. When combined with
searchable snapshots, it allows downloading only data for a given (doc value) field to quickly filter down to a select set
of documents.
Relates #81210 and #52728
Allows searching on keyword fields when those fields are not indexed (index: false) but just doc values are enabled.
This enables searches on archive data, which has access to doc values but not index structures. When combined with
searchable snapshots, it allows downloading only data for a given (doc value) field to quickly filter down to a select set
of documents.
Relates #81210 and #52728
Similar to #82409, but for date fields.
Allows searching on date field types (date, date_nanos) when those fields are not indexed (index: false) but just doc
values are enabled.
This enables searches on archive data, which has access to doc values but not index structures. When combined with
searchable snapshots, it allows downloading only data for a given (doc value) field to quickly filter down to a select set
of documents.
Relates #81210 and #52728
Allows searching on number field types (long, short, int, float, double, byte, half_float) when those fields are not
indexed (index: false) but just doc values are enabled.
This enables searches on archive data, which has access to doc values but not index structures. When combined with
searchable snapshots, it allows downloading only data for a given (doc value) field to quickly filter down to a select set
of documents.
Note to reviewers:
I have split isSearchable into two separate methods isIndexed and isSearchable on MappedFieldType. The former one is
about whether actual indexing data structures have been used (postings or points), and the latter one on whether you
can run queries on the given field (e.g. used by field caps). For number field types, queries are now allowed whenever
points are available or when doc values are available (i.e. searchability is expanded).
Relates #81210 and #52728
Cosine similarity is not defined when one of the vectors has zero magnitude.
Before, the kNN search endpoint threw a confusing exception related to top docs
collection. Now we reject vectors early with a clear error message, failing
indexing if the vector has zero magnitude.
This commit adds docs for the new `_knn_search` endpoint.
It focuses on being an API reference and is light on details in terms of how
exactly the kNN search works, and how the endpoint contrasts with
`script_score` queries. We plan to add a high-level guide on kNN search that
will explain this in depth.
Relates to #78473.
Currently, we don't support kNN search against fields in a `nested` mapping.
Before, we were checking this at search-time. This commit moves it earlier, so
you aren't even allowed to set `index: true` if the vector is in a nested
mapping. That way, users are aware of the limitation before they start to index
documents.
Relates to #78473.
This reverts the change to use segment ordinals in composite terms aggregations due to a performance degradation when the field is high cardinality.
Co-authored-by: Mark Tozzi <mark.tozzi@elastic.co>
Removes `testenv` annotations and related code. These annotations originally let you skip x-pack snippet tests in the docs. However, that's no longer possible.
Relates to #79309, #31619
This commit updates the `dense_vector` docs to include information on the new
`index`, `similarity`, and `index_options` parameters. It also tries to clarify
the difference between `similarity` and `index_options` with the existing
parameters that have the same name.
Relates to #78473.
Adds an `experimental` annotation to the following:
* `time_series_metric` mapping parameter
* `time_series_dimension` mapping parameter
* `index.mapping.dimension_fields.limit` index setting
* `time_series_dimension` and `time_series_metric` properties in the field caps API response
Changes:
* Documents the `time_series_metric` mapping parameter for PR #76766.
* Renames the `dimension` parameter to `time_series_dimension` for PR #78012.
* Adds support for `unsigned_long` to `time_series_dimension` for PR #78204.
Adds additional information about how Elasticsearch uses polygon orientation. Elasticsearch only uses a polygon's orientation to determine if it crosses the international dateline. If so, Elasticsearch splits the polygon at the dateline.
Closes#74891
* Mention match_only_text in disk usage docs
Previously we explained how to manually disable norms, freqs, and positions. We
now have a ready-made solution in the new `match_only_text` field type.
* Fixing typo and minor grammar changes
Co-authored-by: Adam Locke <adam.locke@elastic.co>
The `_routing` metadata field docs currently include formulas for how
Elasticsearch routes documents to shards. However, these formulas were not
updated for #18699. This updates the routing formulas and adds xrefs for
related settings.
Closes#76072
Changes:
* Use "geopoint" when not referring to the literal field type
* Use "geoshape" when not referring to the literal field type or query type
* Use "GeoJSON" consistently
In the upcoming Lucene 9 release, `indices.query.bool.max_clause_count` is
going to apply to the entire query tree rather than per `bool` query. In order
to avoid breaks, the limit has been bumped from 1024 to 4096.
The semantics will effectively change when we upgrade to Lucene 9, this PR
is only about agreeing on a migration strategy and documenting this change.
To avoid further breaks, I am leaning towards keeping the current setting name
even though it contains `bool`. I believe that it still makes sense given that
`bool` queries are typically the main contributors to high numbers of clauses.
Co-authored-by: James Rodewig <40268737+jrodewig@users.noreply.github.com>
Changes:
* Documents the `dimension` mapping parameter for `ip`, `keyword`, and `numeric`
fields.
* Documents the `index.mapping.dimension_fields.limit` index setting.
* [DOCS] Add performance info for runtime fields
* Add script-based sorting and clarify performance
* Changing title to Incentives and reworking the intro
* Removes docs and references for the following `geo_shape` mapping parameters:
* `tree`
* `tree_levels`
* `strategy`
* `distance_error_pct`
* Updates a related breaking change.
Relates to #70850
This adds support for the range aggregation over `histogram` mapped fields.
Decisions made for implementation:
- Sub-aggregations are not allowed. This is to simplify implementation and follows the prior art set by the `histogram` aggregation
- Nothing fancy is done with the ranges. No filter translations as we cannot easily do a `range` filter query against histogram fields. This may be an optimization in the future.
- Ranges check the histogram value ONLY. No interpolation of values is done. If we have better statistics around the histogram this MAY be possible.
Mayya Sharipova
Yannick Welsch
Adam Locke
Julie Tibshirani
Mitar
James Rodewig
eltomello
Colin Ng
Dan Hermann
James Rodewig
Julie Tibshirani
Tobias Frey
Christoph Büscher
a-k-g
Adrien Grand
Benjamin Trent