Bucket aggregations compute bucket doc_count values by incrementing the doc_count by 1 for every document collected in the bucket.
When using summary fields (such as aggregate_metric_double) one field may represent more than one document. To provide this functionality we have implemented a new field mapper (named doc_count field mapper). This field is a positive integer representing the number of documents aggregated in a single summary field.
Bucket aggregations will check if a field of type doc_count exists in a document and will take this value into consideration when computing doc counts.
We standardize on some metadata entries that we plan to later leverage
in Kibana in order to provide a better out-of-the-box experience, e.g.
different visualizations make sense on gauges and counters.
This fixes fields retrieval on unsigned_long field
1) For docvalue_fields a custom UnsignedLongLeafFieldData::getLeafValueFetcher
is implemented that correctly retrieves doc values.
2) For stored fields, an error was fixed in UnsignedLongFieldMapper
how stored values were stored. Before they were incorrectly
stored in the shifted format, now they are stored as original
values in String format.
Relates to #60050
We don't need a special TypeFieldMapper for anything in particular; all access
to the type field can be done via a TypeFieldType that issues appropriate
deprecation warnings.
Relates to #41059
This field type supports
- indexing of integer values from [0, 18446744073709551615]
- precise queries (term, range)
- precise sort and terms aggregations
- other aggregations are based on conversion of long values
to double and can be imprecise for large values.
Closes#32434
This PR adds a new 'version' field type that allows indexing string values
representing software versions similar to the ones defined in the Semantic
Versioning definition (semver.org). The field behaves very similar to a
'keyword' field but allows efficient sorting and range queries that take into
accound the special ordering needed for version strings. For example, the main
version parts are sorted numerically (ie 2.0.0 < 11.0.0) whereas this wouldn't
be possible with 'keyword' fields today.
Valid version values are similar to the Semantic Versioning definition, with the
notable exception that in addition to the "main" version consiting of
major.minor.patch, we allow less or more than three numeric identifiers, i.e.
"1.2" or "1.4.6.123.12" are treated as valid too.
Relates to #48878
We now link to the top-level keyword type family page instead of its individual
subsections. This better fits the page format, where each type name is a link.
This commit makes IpFieldMapper extend ParametrizedFieldMapper. It also
updates the IpFieldMapper docs to add the ignore_malformed parameter,
which was not previously documented.
Changes:
* Moves `Retrieve selected fields` to its own page and adds a title abbreviation.
* Adds existing script and stored fields content to `Retrieve selected fields`
* Adds a xref for `Retrieve selected fields` to `Search your data`
* Adds related redirects and updates existing xrefs
Plugin discovery documentation contained information about installing
Elasticsearch 2.0 and installing an oracle JDK, both of which is no
longer valid.
While noticing that the instructions used cleartext HTTP to install
packages, this commit replaces HTTPs links instead of HTTP where possible.
In addition a few community links have been removed, as they do not seem
to exist anymore.
This feature adds a new `fields` parameter to the search request, which
consults both the document `_source` and the mappings to fetch fields in a
consistent way. The PR merges the `field-retrieval` feature branch.
Addresses #49028 and #55363.
Before it was missing from the list. This PR also renames the 'geo data types'
section to 'spatial data types' and consolidates the geo and cartesian types
into that section.
Moves the highlighting docs from the deprecated 'Request Body Search'
chapter to the new subpage of the 'Run a search chapter' section.
No substantive changes were made to the content.
Changes:
* Condenses and relocates the `docvalue_fields` example to the 'Run a search'
page.
* Adds docs for the `docvalue_fields` request body parameter.
* Updates several related xrefs.
Co-authored-by: debadair <debadair@elastic.co>
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.
* Changes for #52239.
* Incorporating review feedback from Julie T. Also single-sourcing nexted options in the Mapping page and referencing them in the Nested page.
* Moving tip after the introduction and clarifying limits.
* Update docs/reference/mapping.asciidoc
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
* Update docs/reference/mapping/types/nested.asciidoc
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
Co-authored-by: James Rodewig <james.rodewig@elastic.co>
It's possible for a constant_keyword to have a 'null' value before any documents
are seen that contain a value for the field. In this case, no documents have a
value for the field, and 'exists' queries should return no documents.
Implements value_count and avg aggregations over Histogram fields as discussed in #53285
- value_count returns the sum of all counts array of the histograms
- avg computes a weighted average of the values array of the histogram by multiplying each value with its associated element in the counts array
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.
It seemed confusing for users that our top-level mapping page still had a
prominent section named 'Mapping Type'. This PR reworks the docs to remove this
reference and adds a note about types removal (similar to the note we added to
other APIs like put mapping).
Given that types have been removed entirely in 8.0, we don't need a detailed page
explaining what they are and why they are going away. This commit replaces the
page with a short paragraph saying that types are no longer supported, and a link
to the [removal-of-types] page in 7x
Relates to #41059
We currently emit a warning in 8x when a script refers to the _type field for
a document. However, in 8x this field no longer exists, so the deprecation
warning is not required.
Relates to #41059
Indexes values using size 3 ngrams and also stores the full original as a binary doc value.
Wildcard queries operate by using a cheap approximation query on the ngram field followed up by a more expensive verification query using an automaton on the binary doc values. Also supports aggregations and sorting.
Per the [Asciidoctor docs][0], Asciidoctor replaces the following
syntax with double arrows in the rendered HTML:
* => renders as ⇒
* <= renders as ⇐
This escapes several unintended replacements, such as in the Painless
docs.
Where appropriate, it also replaces some double arrow instances with
single arrows for consistency.
[0]: https://asciidoctor.org/docs/user-manual/#replacements
This field is a specialization of the `keyword` field for the case when all
documents have the same value. It typically performs more efficiently than
keywords at query time by figuring out whether all or none of the documents
match at rewrite time, like `term` queries on `_index`.
The name is up for discussion. I liked including `keyword` in it, so that we
still have room for a `singleton_numeric` in the future. However I'm unsure
whether to call it `singleton`, `constant` or something else, any opinions?
For this field there is a choice between
1. accepting values in `_source` when they are equal to the value configured
in mappings, but rejecting mapping updates
2. rejecting values in `_source` but then allowing updates to the value that
is configured in the mapping
This commit implements option 1, so that it is possible to reindex from/to an
index that has the field mapped as a keyword with no changes to the source.
Adds a warning admonition stating that the `index_options` mapping
parameter is intended only for `text` fields.
Removes an outdated statement regarding default values for numeric
and other datatypes.
Tries to load a `Mapper` instance for the mapping snippet of a dynamic template.
This should catch things like using an analyzer that is undefined or mapping attributes that are unused.
This is best effort:
* If `{{name}}` placeholder is used in the mapping snippet then validation is skipped.
* If `match_mapping_type` is not specified then validation is performed for all mapping types.
If parsing succeeds with a single mapping type then this the dynamic mapping is considered valid.
If is detected that a dynamic template mapping snippet is invalid at mapping update time then the mapping update is failed for indices created on 8.0.0-alpha1 and later. For indices created on prior version a deprecation warning is omitted instead. In 7.x clusters the mapping update will never fail in case of an invalid dynamic template mapping snippet and a deprecation warning will always be omitted.
Closes#17411Closes#24419
Co-authored-by: Adrien Grand <jpountz@gmail.com>
The example of how to access the nano value of a date_nanos field has
been broken since it was created. This commit fixes it to use the
correct scripting methods.
closes#51931
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
The docs/reference/redirects.asciidoc file stores a list of relocated or
deleted pages for the Elasticsearch Reference documentation.
This prunes several older redirects that are no longer needed and
don't require work to fix broken links in other repositories.
This PR adds per-field metadata that can be set in the mappings and is later
returned by the field capabilities API. This metadata is completely opaque to
Elasticsearch but may be used by tools that index data in Elasticsearch to
communicate metadata about fields with tools that then search this data. A
typical example that has been requested in the past is the ability to attach
a unit to a numeric field.
In order to not bloat the cluster state, Elasticsearch requires that this
metadata be small:
- keys can't be longer than 20 chars,
- values can only be numbers or strings of no more than 50 chars - no inner
arrays or objects,
- the metadata can't have more than 5 keys in total.
Given that metadata is opaque to Elasticsearch, field capabilities don't try to
do anything smart when merging metadata about multiple indices, the union of
all field metadatas is returned.
Here is how the meta might look like in mappings:
```json
{
"properties": {
"latency": {
"type": "long",
"meta": {
"unit": "ms"
}
}
}
}
```
And then in the field capabilities response:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms" ]
}
}
}
}
```
When there are no conflicts, values are arrays of size 1, but when there are
conflicts, Elasticsearch includes all unique values in this array, without
giving ways to know which index has which metadata value:
```json
{
"latency": {
"long": {
"searchable": true,
"aggreggatable": true,
"meta": {
"unit": [ "ms", "ns" ]
}
}
}
}
```
Closes#33267
Users often mistakenly map numeric IDs to numeric datatypes. However,
this is often slow for the `term` and other term-level queries.
The "Tune for search speed" docs includes advice for mapping numeric
IDs to `keyword` fields. However, this tip is not included in the
`numeric` or `keyword` field datatype doc pages.
This rewords the tip in the "Tune for search speed" docs, relocates it
to the `numeric` field docs, and reuses it using tagged regions.
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.
This change adds a dynamic cluster setting named `indices.id_field_data.enabled`.
When set to `false` any attempt to load the fielddata for the `_id` field will fail
with an exception. The default value in this change is set to `false` in order to prevent
fielddata usage on this field for future versions but it will be set to `true` when backporting
to 7x. When the setting is set to true (manually or by default in 7x) the loading will also issue
a deprecation warning since we want to disallow fielddata entirely when https://github.com/elastic/elasticsearch/issues/26472
is implemented.
Closes#43599
In 7.x we added logic to the REST test harness to ignore warnings related to
types removal. This allowed us to continue to run mixed-cluster tests that
included 6.x nodes.
Now that master is on 8.x, we've no longer need to include 6.x nodes in testing
and have removed almost all typed calls. The logic to ignore warnings can
therefore be removed.
The `string` type (with option `analyzed`) has been replaced by `text` after `6.0`,
also the `annonated_text` field do not support doc values and should be mentioned.
Follow up to #48368. This PR removes support for `sparse_vector` on new
indices. On 7.x indices a `sparse_vector` can still be defined, but it is not
possible to index or search on it.
This PR makes the following two fixes around updating flattened fields:
* Make sure that the new value for ignore_above is immediately taken into
affect. Previously we recorded the new value but did not use it when parsing
documents.
* Allow depth_limit to be updated dynamically. It seems plausible that a user
might want to tweak this setting as they encounter more data.
This PR makes the following updates:
* Update the supported query types to include `prefix` and `wildcard`.
* Specify that queries accept index aliases.
* Clarify that when querying on a remote index name, the separator `:` must be
present.
We have not seen much adoption of this experimental field type, and don't see a
clear use case as it's currently designed. This PR deprecates the field type in
7.x. It will be removed from 8.0 in a follow-up PR.
The `ignore_malformed` setting only works on selected mapping types, otherwise
we throw an mapper_parsing_exception. We should add a list of all the mapping
types that support it, since the number of types not supporting it seems larger.
Closes#47166
Although they do not support eager_global_ordinals, ip fields use global
ordinals for certain aggregations like 'terms'.
This commit also corrects a reference to the sampler aggregation.
After deprecating the `enabled` setting for `_field_names`starting with 7.5,
this change disallows the setting on new indices in 8.0. The setting continues
to work for indices created in 7.x where we continue emitting a deprecation warning.
Relates to #42854
This commit removes types from the ShardGetService, and propagates this API change
up through the Transport and Rest actions for Get and MultiGet
Relates to #41059
Currently we allow `_field_names` fields to be disabled explicitely, but since
the overhead is negligible now we decided to keep it turned on by default and
deprecate the `enable` option on the field type. This change adds a deprecation
warning whenever this setting is used, going forward we want to ignore and finally
remove it.
Closes#27239
This commit updates the eager_global_ordinals documentation to give more
background on what global ordinals are and when they are used. The docs also now
mention that global ordinal loading may be expensive, and describes the cases
where in which loading them can be avoided.
This PR merges the `vectors-optimize-brute-force` feature branch, which makes
the following changes to how vector functions are computed:
* Precompute the L2 norm of each vector at indexing time. (#45390)
* Switch to ByteBuffer for vector encoding. (#45936)
* Decode vectors and while computing the vector function. (#46103)
* Use an array instead of a List for the query vector. (#46155)
* Precompute the normalized query vector when using cosine similarity. (#46190)
Co-authored-by: Mayya Sharipova <mayya.sharipova@elastic.co>
This commit removes the `classic` similarity from code and docs in master (8.0). The `classic` similarity cannot be used on indices created after 7.0.
Closes#46058
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.
Previously, the reindex examples did not include `_doc` as the destination type.
This would result in the reindex failing with the error "Rejecting mapping
update to [users] as the final mapping would have more than 1 type: [_doc,
user]".
Relates to #43100.
This commit adds a new ShapeFieldMapper to the xpack spatial module for
indexing arbitrary cartesian geometries using a new field type called shape.
The indexing approach leverages lucene's new XYShape field type which is
backed by BKD in the same manner as LatLonShape but without the WGS84
latitude longitude restrictions. The new field mapper builds on and
extends the refactoring effort in AbstractGeometryFieldMapper and accepts
shapes in either GeoJSON or WKT format (both of which support non geospatial geometries).
Tests are provided in the ShapeFieldMapperTest class in the same manner
as GeoShapeFieldMapperTests and LegacyGeoShapeFieldMapperTests.
Documentation for how to use the new field type and what parameters are
accepted is included. The QueryBuilder for searching indexed shapes is provided in a separate commit.
Some small clarifications about force-merging and global ordinals, particularly
that global ordinals are cheap on a single-segment index and how this relates
to frozen indices.
Fixes#41687
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.
A few places in the documentation had mentioned 6.7 as the version to
upgrade from, when doing an upgrade to 7.0. While this is technically
possible, this commit will replace all those mentions to 6.8, as this is
the latest version with the latest bugfixes, deprecation checks and
ugprade assistant features - which should be the one used for upgrades.
Co-Authored-By: James Rodewig <james.rodewig@elastic.co>
This commit merges the `object-fields` feature branch. The new 'flattened
object' field type allows an entire JSON object to be indexed into a field, and
provides limited search functionality over the field's contents.
It is possible for internal ML indices like `.data-frame-notifications-1` to leak,
causing other docs tests to fail when they accidentally search over these
indices. This PR updates the ignore_above tests to only search a specific index.
This PR updates the docs for `docvalue_fields` and `stored_fields` to clarify
that nested fields must be accessed through `inner_hits`. It also tweaks the
nested fields documentation to make this point more visible.
Addresses #23766.
* Previously, we mentioned multiple times that each nested object was indexed as its own document. This is repetitive, and is also a bit confusing in the context of `index.mapping.nested_fields.limit`, as that applies to the number of distinct `nested` types in the mappings, not the number of nested objects. We now just describe the issue once at the beginning of the section, to illustrate why `nested` types can be expensive.
* Reference the ongoing example to clarify the meaning of the two settings.
Addresses #28363.
The `path_match` and `path_unmatch` parameters in dynamic templates match on
object fields in addition to leaf fields. This is not obvious and can cause
surprising errors when a template is meant for a leaf field, but there are
object fields that match. This PR adds a note to the docs to describe the
current behavior.
We received some feedback that it is not completely clear why `_doc` is present
in the typeless document APIs:
> The new index APIs are PUT {index}/_doc/{id} in case of explicit ids and POST
{index}/_doc for auto-generated ids."_ Isn't this contradicting? Specifying
*types in requests is deprecated*, but we are supposed to still mention *_doc*
in write requests?
This PR updates the 'removal of types' documentation to try to clarify that
`_doc` now represents the endpoint name, as opposed to a type.
This PR makes a few clarifications to the docs for the `enabled` setting:
- Replace references to 'mapping type' with 'mapping' or 'mapping definition'.
- In code examples, clarify that the disabled fields have type `object`.
- Add a section on how disabled fields can hold non-object data.
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
Currently if a field alias is updated, any percolator queries that contain the
alias will still refer to its old target. This PR documents the issue while we
look into addressing it.
Relates to #37212.
This adds a dedicated field mapper that supports nanosecond resolution -
at the price of a reduced date range.
When using the date field mapper, the time is stored as milliseconds since the epoch
in a long in lucene. This field mapper stores the time in nanoseconds
since the epoch - which means its range is much smaller, ranging roughly from
1970 to 2262.
Note that aggregations will still be in milliseconds.
However docvalue fields will have full nanosecond resolution
Relates #27330
There are a two major features that are not yet supported by BKD Backed geo_shape: MultiPoint queries, and CONTAINS relation. It is important we are explicitly clear in the documentation that using the new approach may not work for users that depend on these features. This commit adds an IMPORTANT NOTE section to geo_shape docs that explicitly highlights these missing features and what should be done if they are an absolute necessity.
Currently if you mix typed templates and typeless index creation or typeless
templates and typed index creation then you will end up with an error because
Elasticsearch tries to create an index that has multiple types: `_doc` and
the explicit type name that you used.
This commit proposes to give precedence to the index creation call so that
the type from the template will be ignored if the index creation call is
typeless while the template is typed, and the type from the index creation
call will be used if there is a typeless template.
This is consistent with the fact that index creation already "wins" if a field
is defined differently in the index creation call and in a template: the
definition from the index creation call is used in such cases.
Closes#37773
Ranaming as follows:
feature -> rank_feature
feature_vector -> rank_features
feature query -> rank_feature query
Ranaming is done to distinguish from other vector types.
Closes#36723
The "include_type_name" parameter was temporarily introduced in #37285 to facilitate
moving the default parameter setting to "false" in many places in the documentation
code snippets. Most of the places can simply be reverted without causing errors.
In this change I looked for asciidoc files that contained the
"include_type_name=true" addition when creating new indices but didn't look
likey they made use of the "_doc" type for mappings. This is mostly the case
e.g. in the analysis docs where index creating often only contains settings. I
manually corrected the use of types in some places where the docs still used an
explicit type name and not the dummy "_doc" type.
* Default include_type_name to false for get and put mappings.
* Default include_type_name to false for get field mappings.
* Add a constant for the default include_type_name value.
* Default include_type_name to false for get and put index templates.
* Default include_type_name to false for create index.
* Update create index calls in REST documentation to use include_type_name=true.
* Some minor clean-ups around the get index API.
* In REST tests, use include_type_name=true by default for index creation.
* Make sure to use 'expression == false'.
* Clarify the different IndexTemplateMetaData toXContent methods.
* Fix FullClusterRestartIT#testSnapshotRestore.
* Fix the ml_anomalies_default_mappings test.
* Fix GetFieldMappingsResponseTests and GetIndexTemplateResponseTests.
We make sure to specify include_type_name=true during xContent parsing,
so we continue to test the legacy typed responses. XContent generation
for the typeless responses is currently only covered by REST tests,
but we will be adding unit test coverage for these as we implement
each typeless API in the Java HLRC.
This commit also refactors GetMappingsResponse to follow the same appraoch
as the other mappings-related responses, where we read include_type_name
out of the xContent params, instead of creating a second toXContent method.
This gives better consistency in the response parsing code.
* Fix more REST tests.
* Improve some wording in the create index documentation.
* Add a note about types removal in the create index docs.
* Fix SmokeTestMonitoringWithSecurityIT#testHTTPExporterWithSSL.
* Make sure to mention include_type_name in the REST docs for affected APIs.
* Make sure to use 'expression == false' in FullClusterRestartIT.
* Mention include_type_name in the REST templates docs.
* [Geo] Expose BKDBackedGeoShapes as new VECTOR strategy
This commit exposes lucene's LatLonShape field as a new
strategy in GeoShapeFieldMapper. To use the new indexing
approach, strategy should be set to "vector" in the
geo_shape field mapper. If the tree parameter is set
the mapper will throw an IAE. Note the following:
When using vector strategy:
* geo_shape query does not support querying by POINT,
MULTIPOINT, or GEOMETRYCOLLECTION.
* LINESTRING and MULTILINESTRING queries do not support
WITHIN relation.
* CONTAINS relation is not supported.
* The tree, precision, tree_levels, distance_error_pct,
and points_only parameters will not throw an exception
but they have no effect and will be marked as
deprecated..
All other features are supported.
* revert change to PercolatorFieldMapper
* fix ExistsQuery for geo_shape vector strategy
* add deprecation logging for tree, precision, tree_levels, distance_error_pct, and points_only
* initial update to geoshape docs, including mapping migration updates
* initial support for GeoCollection queries
* fix docs and javadoc errors
* clean up geocollection queries
* set deprecated mapping tests to NOTCONSOLE
* fix geo-shape mapper asciidoc mapping and test warnings
* add support for point queries using LatLonShapeBoundingBoxQuery
* update GeoShapeQueryBuilderTests to include POINT queries for VECTOR strategy. Other comment cleanups
* add lucene geometry build testing to ShapeBuilder tests
* remove deprecated prefix tree mapping from geo-shape.asciidoc
* refactor GeoShapeFieldMapper into LegacyGeoShapeFieldMapper and GeoShapeFieldMapper
Both classes derive from BaseGeoShapeFieldMapper that provides shared parameters:
coerce, ignoreMalformed, ignore_z_value, orientation.
* update docs to remove vector strategy
* fix GeometryCollectionBuilder#buildLucene to return the object created by the shape builder
* fix LineLength failure in GeoJsonShapeParserTests
* ShapeMapper refactor changes from PR feedback
* fix typo in geo-shape.asciidoc
* ignore circle test in docs
* update indexing-approach ref to geoshape-indexing-approach
* add warnings check for LegacyGeoShapeFieldMapper to AbstractBuilderTestCase
* fix deprecatedParameters setup
* update indexing approach
* fixing unexpected warnings failures
* move orientation back to field type
* remove if in LegacyGeoShapeFieldMapper#doXContent. Fix GeoShapeFieldMapper to work with double array as a point
* fix indexing-approach link in circle section of geoshape docs
* add strategy to deprecation warnings check
* fix test failures
* fix typo in QueryStringQueryBuilderTests
* fix total hits to totalHits().value
* fix version number
* add version check to BaseGeoShapeFieldMapper
* fix line length!
* revert version check in BaseGeoShapeFieldMapper
* Fix serialization of mappings of legacy shapes.
This commit exposes lucene's LatLonShape field as the
default type in GeoShapeFieldMapper. To use the new
indexing approach, simply set "type" : "geo_shape" in
the mappings without setting any of the strategy, precision,
tree_levels, or distance_error_pct parameters. Note the
following when using the new indexing approach:
* geo_shape query does not support querying by
MULTIPOINT.
* LINESTRING and MULTILINESTRING queries do not
yet support WITHIN relation.
* CONTAINS relation is not yet supported.
The tree, precision, tree_levels, distance_error_pct,
and points_only parameters are deprecated.
This commit changes the format of the `hits.total` in the search response to be an object with
a `value` and a `relation`. The `value` indicates the number of hits that match the query and the
`relation` indicates whether the number is accurate (in which case the relation is equals to `eq`)
or a lower bound of the total (in which case it is equals to `gte`).
This change also adds a parameter called `rest_total_hits_as_int` that can be used in the
search APIs to opt out from this change (retrieve the total hits as a number in the rest response).
Note that currently all search responses are accurate (`track_total_hits: true`) or they don't contain
`hits.total` (`track_total_hits: true`). We'll add a way to get a lower bound of the total hits in a
follow up (to allow numbers to be passed to `track_total_hits`).
Relates #33028
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.
Christos Soulios
Mayya Sharipova
James Rodewig
Andrew Kroh
Adrien Grand
Alan Woodward
Christoph Büscher
Wylie Conlon
Julie Tibshirani
jessepeixoto
Ryan Ernst
Martijn van Groningen
Alexander Reelsen
James Rodewig
Przemyslaw Gomulka
Tal Levy
Lisa Cawley
Adam Locke
Ben Skelker
markharwood
Ignacio Vera
bellengao
C.J. Jameson
Alan Woodward
Valentin Crettaz
Igor Motov
Marios Trivyzas
Yannick Welsch
junmuz
arkel-s
Xiang Dai
Ignacio Vera
Jim Ferenczi
Antoine Garcia
lgypro
Anton
Nick Knize
David Turner
Mark Walkom
Nikita Glashenko
Henning Andersen
Andrei Stefan
Andy Bristol
Peter Dyson
Josh Soref
Guido Lena Cota
Takuro Wada
Daniel Mitterdorfer
Pablo Musa
Luca Cavanna
Dimitrios Liappis
Nik Everett