The subfields of the search_as_you_type are prefixed with the name of their root field.
However they should used the full path of the root field rather than just the name since
these fields can appear in a multi-`fields` definition or under an object field.
Since this field type is not released yet, this should be considered as a non-issue.
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
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
This commit moves the aggregation and mapping code from joda time to
java time. This includes field mappers, root object mappers, aggregations with date
histograms, query builders and a lot of changes within tests.
The cut-over to java time is a requirement so that we can support nanoseconds
properly in a future field mapper.
Relates #27330
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
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.
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 commit moves the range field mapper back to core so that we can
remove the compile-time dependency of percolator on mapper-extras which
compilcates dependency management for the percolator client JAR, and
modules should not be intertwined like this anyway.
Relates #27854
* Enhances exists queries to reduce need for `_field_names`
Before this change we wrote the name all the fields in a document to a `_field_names` field and then implemented exists queries as a term query on this field. The problem with this approach is that it bloats the index and also affects indexing performance.
This change adds a new method `existsQuery()` to `MappedFieldType` which is implemented by each sub-class. For most field types if doc values are available a `DocValuesFieldExistsQuery` is used, falling back to using `_field_names` if doc values are disabled. Note that only fields where no doc values are available are written to `_field_names`.
Closes#26770
* Addresses review comments
* Addresses more review comments
* implements existsQuery explicitly on every mapper
* Reinstates ability to perform term query on `_field_names`
* Added bwc depending on index created version
* Review Comments
* Skips tests that are not supported in 6.1.0
These values will need to be changed after backporting this PR to 6.x
Numeric fields no longer support the index_options parameter. This changes the parameter
to be rejected in numeric field types after it was deprecated in 6.0.
Closes#21475
Today we have all non-plugin mappers in core. I'd like to start moving those
that neither map to json datatypes nor are very frequently used like `date` or
`ip` to a module.
This commit creates a new module called `mappers-extra` and moves the
`scaled_float` and `token_count` mappers to it. I'd like to eventually move
`range` fields there but it's more complicated due to their intimate
relationship with range queries.
Relates #10368
Mayya Sharipova
Jim Ferenczi
Jim Ferenczi
Jeff Hajewski
Andy Bristol
Julie Tibshirani
Alexander Reelsen
Armin Braun
Tanguy Leroux
Adrien Grand
Jason Tedor
Colin Goodheart-Smithe
Christoph Büscher