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.
Added the dimension parameter to the following field types:
keyword
ip
Numeric field types (integer, long, byte, short)
The dimension parameter is of type boolean (default: false) and is used
to mark that a field is a time series dimension field.
Relates to #74014
When we introduced dynamic:runtime (#65489) we decided to have it create objects dynamically under properties, as the runtime section did not (and still does not) support object fields. That proved to be a poor choice, because the runtime section is flat, supports dots in field names, and does not really need objects. Also, these end up causing unnecessary mapping conflicts.
With this commit we adapt dynamic:runtime to not dynamically create objects.
Closes#70268
* [DOCS] Add retriving from flattened fields
* Clarify sub-field syntax
* Moving sub-field retrieval to flattened field docs
* Remove full example and de-emphasize runtime fields
* Remove extraneous sample tag
* [DOCS] Moving grok to its own scripting page
* Adding examples
* Updating cross link for grok page
* Adds same runtime field in a search request for #73262
* Clarify titles and shift navigation
* Incorporating review feedback
* Updating cross-link to Painless
* [DOCS] Expand information on when to use a runtime field without a script
* Reworking information based on review feedback
* Clarify case where doc_values are disabled
* A few minor changes from review feedback
We currently don't support `copy_to` for fields that take the form of objects
(e.g. `date_range` or certain kinds of `geo_point` variants). The current
problem with objects is that when DocumentParser parses anything other than
single values, it potentially advances the underlying parser past the value that
we would need to stay on for parsing the value again. While we might want to
support this in the future, for now this PR enhances the otherwise confusing
MapperParsingException with something more helpful and adds a short note in the
documentation about this restriction.
Closes#49344
With the introduction of BKD-based geo shape indexing in #32039, the prefix tree indexing method has
been deprecated. From 8.0.0, it will not be allowed to create new mappings using deprecated parameters.
This adds a new `match_only_text` field, which indexes the same data as a `text`
field that has `index_options: docs` and `norms: false` and uses the `_source`
for positional queries like `match_phrase`. Unlike `text`, this field doesn't
support scoring.
This commit adds the ability to define an index-time geo_point field
with a script parameter, allowing you to calculate points from other
values within the indexed document.
As we started thinking about applying on_script_error to runtime fields, to handle script errors at search time, we would like to use the same parameter that was recently introduced for indexed fields. We decided that continue or fail gives a better indication of the behaviour compared to the current ignore or reject which is too specific to indexing documents.
This commit applies such rename.
Allow direct access to a dense_vector' values in script
through the following functions:
- getVectorValue – returns a vector's value as an array of floats
- getMagnitude – returns a vector's magnitude
Closes#51964
Currently the `fields` API fetches the root flattened field and returns it in a
structured way in the response. In addition this change makes it possible to
directly query subfields. However, requesting flattened subfields via wildcard
patterns is not possible.
Closes#70605
This commit allows you to set 'script' and 'on_script_error' parameters
on date field mappers, meaning that runtime date fields can be made indexed
simply by moving their definitions from the runtime section of the mappings
to the properties section.
We accept dates with a decimal point like `2113413.13241324` and parse
them *somehow*. But there are cases where we'll lose precision on those
dates, see #70085. This advises folks not to use that format. We'll
continue to accept those dates for backwards compatibility but you
should avoid using them.
Co-authored-by: Adrien Grand <jpountz@gmail.com>
Runtime fields are much more flexible than script_fields because you
can filter and aggregate on them so we hope folks use them! This
converts the example of using a `parent_join` field in a script to a
runtime field so folks get used to seeing them and hopefully using them.
While I was editing this I took the opportunity to replace the script
with a real-ish example. Scripts that just load the field value are nice
and short but I hope no one uses them in real life because they just add
overhead when compared to accessing the field directly. So I made the
script do something.
Relates to #69291
This commit allows you to set 'script' and 'on_script_error' parameters
on IP field mappers, meaning that runtime IP fields can be made indexed
simply by moving their definitions from the runtime section of the mappings
to the properties section.
Runtime fields are much more flexible than script_fields because you
can filter and aggregate on them so we hope folks use them! This
converts the example of using a `date_nanos` field in a script to a
runtime field so folks get used to seeing them and hopefully using them.
While I was editing this I took the opportunity to replace the script
with a real-ish example. Scripts that just load the field value are nice
and short but I hope no one uses them in real life because they just add
overhead when compared to accessing the field directly. So I made the
script do something.
Relates to #69291
Co-authored-by: Adam Locke <adam.locke@elastic.co>
Runtime fields are much more flexible than `script_fields` because you
can filter and aggregate on them so we hope folks use them! This
converts the example of using a `boolean` field in a script to a runtime
field so folks get used to seeing them and hopefully using them.
While I was editing this I took the opportunity to replace the script
with a real-ish example. Scripts that just load the field value are nice
and short but I hope no one uses them in real life because they just add
overhead when compared to accessing the field directly. So I made the
script do *something*.
Relates to #69291
* Add warning admonition for removing runtime fields.
* Add cross-link to runtime fields.
* Expanding examples for runtime fields in a search request.
* Clarifying language and simplifying response tests.
This commit adds a script parameter to long and double fields that makes
it possible to calculate a value for these fields at index time. It uses the same
script context as the equivalent runtime fields, and allows for multiple index-time
scripted fields to cross-refer while still checking for indirection loops.
* Make wildcard field use constant scoring queries for wildcard queries. Add a note about ignoring rewrite parameters on wildcard queries.
Also fixes caching issue where case sensitive and case insensitive results were cached as the same
Closes#69604
This commit updates the default format of date_nanos field
on existing and new indices to use `strict_date_optional_time_nanos` instead of
`strict_date_optional_time`.
Using `strict_date_optional_time` as the default format for date_nanos doesn't
make sense because it accepts and parses dates with nanosecond precision,
but when it formats it drops the nanoseconds.
The change should be transparent for users, these formats accept the same input.
Relates #69192Closes#67063
This field mapper only lived in its own module so it could be licensed as x-pack
basic. Now it can be moved to core, which matches its status as a core type.
Remove not completely correct statement about the size of dense_vectors
We do store a dense_vector as binary doc value with size `4*dims+4`.
But this is size before compression. As compressed size depends on
data itself, it is better to remove completely any statement
about the size.
The tip about updating a `search_analyzer` currently does not mention that most
of the time (when the current analyzer is not "default"), user need to repeat
the currently set "analyzer" parameter in the field definition. Adding this as a
short note.
You can't update the `analyzer` parameter in the PUT mappings API even if
the index is closed. This adds a TIP to call that out. And adds a TIP
for `search_quote_analyzer` which you *can* update.
* [DOCS] Adding grok support for runtime fields.
* Update response.
* Adding testresponse replacements.
* Update runtime field context and add dissect.
* Fixing backslash in the response.
* Fixing testresponse.
* Incorporating review feedback.
* Updates emit and adds cross link from ES runtime fields page.
* Reallocate runtime document
Reallocate document `runtime-fields-scriptless` from `runtime-search-request` to `runtime-mapping-fields`
* Move runtime without script section
Move runtime without script section to under the dynamic runtime mapping section
* Fix snippet formatting and remove discrete heading.
* Update test snippet.
Co-authored-by: Adam Locke <adam.locke@elastic.co>
Currently, existing runtime fields can be updated, but they cannot be removed. That allows to correct potential mistakes, but once a runtime field is added to the index mappings, it is not possible to remove it.
With this commit we introduce the ability to remove an existing runtime field by providing a null value for it through the put mapping API. If a field with such name does not exist, such specific instruction will have no effect on other existing runtime fields.
Note that the removal of runtime fields makes the recently introduced assertRefreshItNotNeeded assertion trip, because when each local node merges mappings back in, the runtime fields that were previously removed by the master node, get added back again locally. This is only a problem for the assertion that verifies that the removed refresh operation is never needed. We worked around this by tweaking the assertion to ignore runtime fields completely, for simplicity, by assertion on the serialized merged mappings and incoming mappings without the corresponding runtime section.
Co-authored-by: Adam Locke <adam.locke@elastic.co>
* Adding runtime fields page for Painless context.
* Adds beta admonition to runtime fields and Painless docs.
* Fixing test errors and improving content sections.
* Adding refresh to fix test cases.
* Simplifying the ingest request to include refresh.
* Removing beta (will add in another PR) and updating examples.
* Moving examples to the page for retrieving runtime fields.
* Adding runtime_mappings to request body of search API.
* Updating runtime_mappings properties and adding runtime fields to search your data.
* Updating examples and hopefully fixing build failure.
* Fixing snippet formatting that was causing test failure.
* Adding page in Painless guide for runtime fields.
* Fixing typo.
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* Updating dynamic mappings for runtime fields.
* Updating example to fix test case and be more accurate.
* Changing header level for dynamic runtime.
* Clarifying language around ip fields in dynamic template.
* Changes for dynamic templates.
* Clarifying language around dynamic:true and dynamic:runtime.
* Clarifying edits and some restructuring.
* Overhauling the Mapping page.
* Incorporating changes from #66911.
* Reworking mapping page to focus on dynamic vs. explicit mapping.
* Reordering to fix test failure.
* Further clarifying mapping page.
* Reordering sections, adding headings to examples, and other clarifications.
* Incorporating review feedback.
* Adding description of for Painless script.
Added documentation for the aggregate_metric_double field that was merged in #56745
Co-authored-by: James Rodewig <40268737+jrodewig@users.noreply.github.com>
* First steps in docs for runtime fields.
* Adding new page for runtime fields.
* Adding page for runtime fields.
* Adding more to the runtime fields topic.
* Adding parameters and retrieval options for runtime fields.
* Adding TESTSETUP for index creation.
* Incorporating review feedback.
* Incorporating reviewer feedback.
* Adding examples for runtime fields.
* Adding more context and simplifying the example.
* Changing timestamp to @timestamp throughout.
* Removing duplicate @timestamp field.
* Expanding example to hopefully fix CI builds.
* Adding skip test for result.
* Adding missing callout.
* Adding TESTRESPONSEs, which are currently broken.
* Fixing TESTRESPONSEs.
* Incorporating review feedback.
* Several clarifications, better test cases, and other changes.
* Adding missing callout in example.
* Adding substitutions to TESTRESPONSE for shorter results shown.
* Shuffling some information and adding link to script-fields.
* Fixing typo.
* Updates for API redesign -- will break builds.
* Updating examples and including info about overriding fields.
* Updating examples.
* Adding info for using runtime fields in the search request.
* Adding that queries against runtime fields are expensive.
* Incorporating feedback from reviewers.
* Minor changes from reviews.
* Adding alias for test case.
* Adding aliases to PUT example.
* Fixing test cases, for real this time.
* Updating use cases and introducing overlay throughout.
* Edits, adding 'shadowing', and explaining shadowing better.
* Streamlining tests and other changes.
* Fix formatting in example for test.
* Apply suggestions from code review
* Incorporating reviewer feedback 7 Dec
* Shifting structure of mapping page to fix cross links.
* Revisions for shadowing, overview, and other sections.
* Removing dot notation section and incorporating review changes.
* Adding updated example for shadowing.
* Streamlining shadowing example and TESTRESPONSEs.
During highlighting, we now load all values that were copied into the field
through copy_to. So there's no longer a reason to set 'store: true' to account
for fields not available in _source.
* Clarify that field data cache includes global ordinals
* Describe that the cache should be cleared once the limit is reached
* Clarify that the `_id` field does not supported aggregations anymore
* Fold the `fielddata` mapping parameter page into the `text field docs
* Improve cross-linking
Include the attempted 'match_mapping_type' into the message,
so that it is clearer that multiple validation attempts have occurred.
Dynamic template validation was recently added via #51233 and
there was some confusion over the deprecation message itself.
(in 7.x only deprecation warning will be omitted and from 8.0
an error will be returned)
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.
Benjamin Trent
Christos Soulios
Luca Cavanna
James Rodewig
Daisuke Harada
Adam Locke
Dominic Page
Christoph Büscher
Ignacio Vera
Adrien Grand
Mayya Sharipova
Alan Woodward
Nik Everett
Julie Tibshirani
Nhat Nguyen
markharwood
Jim Ferenczi
S. J. Lee
Gil Raphaelli
Wylie Conlon
Martijn van Groningen
Alex Chan
Andrew Kroh
jessepeixoto
Ryan Ernst
Alexander Reelsen
James Rodewig
Przemyslaw Gomulka
Tal Levy
Lisa Cawley
Ben Skelker
bellengao
C.J. Jameson
Alan Woodward
Valentin Crettaz
Igor Motov
Marios Trivyzas
Yannick Welsch
junmuz
arkel-s
Xiang Dai
Ignacio Vera
Antoine Garcia
lgypro
Anton
Nick Knize
David Turner
Mark Walkom
Nikita Glashenko
Henning Andersen
Andrei Stefan
Andy Bristol
Peter Dyson
Josh Soref