This commit moves the documentation and examples for the `index_prefixes`
option on text fields to its own file, to bring it in line with other mapping
parameters, and expands a bit on both.
We've decided that the bulk, delete, get, index, update, and search APIs should not
contain this request parameter, and we will instead accept both typed and typeless calls.
* Remove a tip about ignore_above that only makes sense with multiple types.
* Remove a line from the percolator documentation that refers to multiple types.
* Replace custom type names with _doc in REST examples.
* Avoid using two mapping types in the percolator docs.
* Rename doc -> _doc in the main repository README.
* Also replace some custom type names in the HLRC docs.
When a envelope that crosses the dateline is specified as a part of
geo_shape query is parsed it shouldn't have its left and right points
flipped.
Fixes#34418
With this commit we remove a leftover in the docs about the `format`
field being updatable. This is not true since we removed support for
updates in #25285.
Closes#33986
Relates #25285
Relates #34006
New plugin for annotated_text field type.
Largely a copy of `text` field type but adds ability to include markdown-like syntax in the text.
The “AnnotatedText” class parses text+markup and converts into plain text and AnnotationTokens.
The annotation token values are injected unchanged alongside the regular text tokens to provide a
form of additional indexed overlay useful in positional searches and highlighting.
Annotated_text fields do not support fielddata as we want to phase this out.
Also includes a new "annotated" highlighter type that retains annotations and merges in search
hits as additional annotation markup.
Closes#29467
The main benefit of the upgrade for users is the search optimization for top scored documents when the total hit count is not needed. However this optimization is not activated in this change, there is another issue opened to discuss how it should be integrated smoothly.
Some comments about the change:
* Tests that can produce negative scores have been adapted but we need to forbid them completely: #33309Closes#32899
We used to set `maxScore` to `0` within `TopDocs` in situations where there is really no score as the size was set to `0` and scores were not even tracked. In such scenarios, `Float.Nan` is more appropriate, which gets converted to `max_score: null` on the REST layer. That's also more consistent with lucene which set `maxScore` to `Float.Nan` when merging empty `TopDocs` (see `TopDocs#merge`).
Currently docs don't explain how `ignore_above` behaves with arrays of
strings.
Clarify how `ignore_above` applies for arrays of strings and
also note that all string(s) will still be visible in the
`_source` field.
Relates #33057
* Add basic support for field aliases in index mappings. (#31287)
* Allow for aliases when fetching stored fields. (#31411)
* Add tests around accessing field aliases in scripts. (#31417)
* Add documentation around field aliases. (#31538)
* Add validation for field alias mappings. (#31518)
* Return both concrete fields and aliases in DocumentFieldMappers#getMapper. (#31671)
* Make sure that field-level security is enforced when using field aliases. (#31807)
* Add more comprehensive tests for field aliases in queries + aggregations. (#31565)
* Remove the deprecated method DocumentFieldMappers#getFieldMapper. (#32148)
The range docs had an introductory section that described how to set up
and index *and* a test setup section in `docs/build.gradle` that
duplicated that section. This is bad because these section can (and do)
drift from one another. This change removes the setup in build.gradle
and marks the introductor snippet with `// TESTSETUP` so it is used on
all the snippets.
A link to the ip_range datatype page provides a way for newer users to know
it exists if they land directly on the ip datatype page first via a search.
This field is similar to the `feature` field but is better suited to index
sparse feature vectors. A use-case for this field could be to record topics
associated with every documents alongside a metric that quantifies how well
the topic is connected to this document, and then boost queries based on the
topics that the logged user is interested in.
Relates #27552
* [DOCS] Rewords _field_names documentation
Corrects the language around when we write to `_field_names` and when you might want to disable it given that n recent versions it does not carry the indexing overhead it once did.
Relates to #30862
* Update wording following review
Specifying `index_phrases: true` on a text field mapping will add a subsidiary
[field]._index_phrase field, indexing two-term shingles from the parent field.
The parent analysis chain is re-used, wrapped with a FixedShingleFilter.
At query time, if a phrase match query is executed, the mapping will redirect it
to run against the subsidiary field.
This should trade faster phrase querying for a larger index and longer indexing
times.
Relates to #27049
This change adds an option named `split_queries_on_whitespace` to the `keyword`
field type. When set to true full text queries (`match`, `multi_match`, `query_string`, ...) that target the field will split the input on whitespace to build the query terms. Defaults to `false`.
Closes#30393
Lucene has a new `FeatureField` which gives the ability to record numeric
features as term frequencies. Its main benefit is that it allows to boost
queries with the values of these features and efficiently skip non-competitive
documents at the same time using block-max WAND and indexed impacts.
This commit changes the default out-of-the-box configuration for the
number of shards from five to one. We think this will help address a
common problem of oversharding. For users with time-based indices that
need a different default, this can be managed with index templates. For
users with non-time-based indices that find they need to re-shard with
the split API in place they no longer need to resort only to
reindexing.
Since this has the impact of changing the default number of shards used
in REST tests, we want to ensure that we still have coverage for issues
that could arise from multiple shards. As such, we randomize (rarely)
the default number of shards in REST tests to two. This is managed via a
global index template. However, some tests check the templates that are
in the cluster state during the test. Since this template is randomly
there, we need a way for tests to skip adding the template used to set
the number of shards to two. For this we add the default_shards feature
skip. To avoid having to write our docs in a complicated way because
sometimes they might be behind one shard, and sometimes they might be
behind two shards we apply the default_shards feature skip to all docs
tests. That is, these tests will always run with the default number of
shards (one).
This adds a new `_ignored` meta field which indexes and stores fields that have
been ignored at index time because of the `ignore_malformed` option. It makes
malformed documents easier to identify by using `exists` or `term(s)` queries
on the `_ignored` field.
Closes#29494
Some features have been deprecated since `6.0` like the `_parent` field or the
ability to have multiple types per index. This allows to remove quite some
code, which in-turn will hopefully make it easier to proceed with the removal
of types.
This improves the way similarities are plugged in in order to:
- reject the classic similarity on 7.x indices and emit a deprecation
warning otherwise
- reject unkwown parameters on 7.x indices and emit a deprecation
warning otherwise
Even though this breaks the plugin API, I'd like to backport to 7.x so
that users can get deprecation warnings when they are doing something
that will become unsupported in the future.
Closes#23208Closes#29035
Today this part of the documentation just says that Geo queries are not 100%
accurate, but in fact we can be more precise about which kinds of queries see
which kinds of error. This commit clarifies this point.
At time of writing, GeoJSON did not enforce a specific ordering of vertices in
a polygon, but it now does. We occasionally get reports of Elasticsearch
rejecting apparently-valid GeoJSON because of badly oriented polygons, and it's
helpful to be able to point at this bit of the documentation when responding.
Peter Dyson
Alan Woodward
Takuro Wada
Julie Tibshirani
Igor Motov
Daniel Mitterdorfer
markharwood
Jim Ferenczi
Pablo Musa
Luca Cavanna
Dimitrios Liappis
Nik Everett
David Turner
Rafał Bigaj
Adrien Grand
Colin Goodheart-Smithe
Christoph Büscher
Jim Ferenczi
Jason Tedor
Sue Gallagher
wmellouli
Nicholas Knize