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.
Together with types removal, any mention of "fields with the same name in the same index" doesn't make sense anymore.
(cherry picked from commit c5190106cbd4c007945156249cce462956933326)
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.
David Turner
James Rodewig
Mayya Sharipova
Mark Walkom
Nikita Glashenko
Alexander Reelsen
Julie Tibshirani
Henning Andersen
Igor Motov
Andrei Stefan
Christoph Büscher
Adrien Grand
Jim Ferenczi
Andy Bristol
Nick Knize
Peter Dyson
Josh Soref