* 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)
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.
In the case that a document with a percolator field is matched when using the `percolate` query then
the fetch phase can fail due to the fact that the percolator can't resolve any query from that document.
Closes#29429
In case of a disjunction query with both range and term based clauses and
msm specified, the query analyzer needs to also reduce the msn if a range
based clause for the same field is encountered. This did not happen.
Instead of fixing this bug the logic has been simplified to just set a
percolator query's msm to 1 if a disjunction contains range clauses and
msm on disjunction has been specified. The logic would otherwise just get
to complex and the performance gain isn't that much for this kind of
percolator queries.
In case a percolator query has clauses that have duplicate terms or ranges then
for disjunction clauses with a minimum should match the query extraction of the
clause with the lowest msm should be used and for conjunction queries query
extractions wiht duplicate terms/ranges the msn should be ignored. If this
is not done then percolator queries that should match never match.
Example percolator query: value1 OR value2 OR value2 OR value3 OR value3 OR value3 OR value4 OR value5 (msm set to 3)
In the above example query the extracted msm would be 3
Example document1: value1 value2 value3
With the msm and extracted terms this would match and is expected behaviour
Example document2: value3
This document should match too (value3 appears in 3 clauses), but with msm set to 3 and the fact
that fact that only distinct values are indexed in extracted terms field this document would
Also added another random duel test.
Closes#29393
This change tries to simplify the extraction logic of boolean queries by
concentrating the logic into two methods: one that merges results for
conjunctions, and another one for disjunctions. Other concerns, like the impact
of prohibited clauses or how an `UnsupportedQueryException` should be treated
are applied on top of those two methods.
This is mostly a code reorganization, it doesn't change the result of query
extraction except in the case that a query both has required clauses and a
minimum number of `SHOULD` clauses that is greater than 1, which we now
rewrite into a pure conjunction. For instance `(+A B C)~1` is rewritten into
`(+A +(B C))` prior to extraction.
I found the following bugs:
- The 6.0 logic for conjunctions didn't work when there were only `match_all`
queries in MUST/FILTER clauses as they didn't propagate the `matchAllDocs`
flag.
- Some queries still had the same issue as `BooleanQuery` used to have with
duplicate terms (see #28353), eg. `MultiPhraseQuery`.
Closes#29376
While playing with the percolator I found two bugs:
- Sometimes we set a min_should_match that is greater than the number of
extractions. While this doesn't cause direct trouble, it does when the query
is nested into a boolean query and the boolean query tries to compute the
min_should_match for the entire query based on its own min_should_match and
those of the sub queries. So I changed the code to throw an exception when
min_should_match is greater than the number of extractions.
- Boolean queries claim matches are verified when in fact they shouldn't. This
is due to the fact that boolean queries assume that they are verified if all
sub clauses are verified but things are more complex than that, eg.
conjunctions that are nested in a disjunction or disjunctions that are nested
in a conjunction can generally not be verified without running the query.
* Begin moving XContent to a separate lib/artifact
This commit moves a large portion of the XContent code from the `server` project
to the `libs/xcontent` project. For the pieces that have been moved, some
helpers have been duplicated to allow them to be decoupled from ES helper
classes. In addition, `Booleans` and `CheckedFunction` have been moved to the
`elasticsearch-core` project.
This decoupling is a move so that we can eventually make things like the
high-level REST client not rely on the entire ES jar, only the parts it needs.
There are some pieces that are still not decoupled, in particular some of the
XContent tests still remain in the server project, this is because they test a
large portion of the pluggable xcontent pieces through
`XContentElasticsearchException`. They may be decoupled in future work.
Additionally, there may be more piecese that we want to move to the xcontent lib
in the future that are not part of this PR, this is a starting point.
Relates to #28504
* Remove BytesArray and BytesReference usage from XContentFactory
This removes the usage of `BytesArray` and `BytesReference` from
`XContentFactory`. Instead, a regular `byte[]` should be passed. To assist with
this a helper has been added to `XContentHelper` that will preserve the offset
and length from the underlying BytesReference.
This is part of ongoing work to separate the XContent parts from ES so they can
be factored into their own jar.
Relates to #28504
* Decouple XContentBuilder from BytesReference
This commit removes all mentions of `BytesReference` from `XContentBuilder`.
This is needed so that we can completely decouple the XContent code and move it
into its own dependency.
While this change appears large, it is due to two main changes, moving
`.bytes()` and `.string()` out of XContentBuilder itself into static methods
`BytesReference.bytes` and `Strings.toString` respectively. The rest of the
change is code reacting to these changes (the majority of it in tests).
Relates to #28504
Before the `matchAllDocs` was ignored and this could lead to percolator queries not matching when
the inner query was a match_all query and min_score was specified.
Before when `verified` was not taken into account if the function_score query wrapped an unverified query this could
lead to matching percolator queries that shouldn't match at all.
fixed bugs that were exposed by this:
* Duplicates query leafs were not detected in a multi level boolean query
* Tracking fields for numeric range queries did not work properly.
* The sorting that was used to find the less restrictive clauses in
disjunction query did not work too.
This removes the readFrom and writeTo methods from XContentType, instead using
the more generic `readEnum` and `writeEnum` methods. Luckily they are both
encoded exactly the same way, so there is no compatibility layer needed for
backwards compatibility.
Relates to #28504
* Remove deprecated createParser methods
This removes the final instances of the callers of `XContent.createParser` and
`XContentHelper.createParser` that did not pass in the `DeprecationHandler`. It
also removes the now-unused deprecated methods and fully removes any mention of
Log4j or LoggingDeprecationHandler from the XContent code.
Relates to #28504
* Add comments in JsonXContentGenerator
* Move more XContent.createParser calls to non-deprecated version
This moves more of the callers to pass in the DeprecationHandler.
Relates to #28504
* Use parser's deprecation handler where available
When elasticsearch was originally moved to gradle, the "provided" equivalent in maven had to be done through a plugin. Since then, gradle added the "compileOnly" configuration. This commit removes the provided plugin and replaces all uses with compileOnly.
This commit switches all the modules and server test code to use the
non-deprecated `ParseField.match` method, passing in the parser's deprecation
handler or the logging deprecation handler when a parser is not available (like
in tests).
Relates to #28449
If a percolator query contains duplicate query clauses somewhere in the query tree then
when these clauses are extracted then they should not affect the msm.
This can lead a percolator query that should be a valid match not become a candidate match,
because at query time, the msm that is being used by the CoveringQuery would never match with
the msm used at index time.
Closes#28315
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
I've seen several cases where match_all queries were being used inside percolator queries,
because these queries were created generated by other systems.
Extracting these queries will allow the percolator at query time in a filter context
to skip over these queries without parsing or validating that these queries actually
match with the document being percolated.
Allowing `_doc` as a type will enable users to make the transition to 7.0
smoother since the index APIs will be `PUT index/_doc/id` and `POST index/_doc`.
This also moves most of the documentation to `_doc` as a type name.
Closes#27750Closes#27751
The main highlight of this new snapshot is that it introduces the opportunity
for queries to opt out of caching. In case a query opts out of caching, not only
will it never be cached, but also no compound query that wraps it will be
cached.
This change stops indexing the `_primary_term` field for nested documents
to allow fast retrieval of parent documents. Today we create a docvalues
field for children to ensure we have a dense datastructure on disk. Yet,
since we only use the primary term to tie-break on when we see the same
seqID on indexing having a dense datastructure is less important. We can
use this now to improve the nested docs performance and it's memory footprint.
Relates to #24362
the query would be marked as verified candidate match. This is wrong as it can only marked as verified candidate match
on indices created on or after 6.1, due to the use of the CoveringQuery.
extract all clauses from a conjunction query.
When clauses from a conjunction are extracted the number of clauses is
also stored in an internal doc values field (minimum_should_match field).
This field is used by the CoveringQuery and allows the percolator to
reduce the number of false positives when selecting candidate matches and
in certain cases be absolutely sure that a conjunction candidate match
will match and then skip MemoryIndex validation. This can greatly improve
performance.
Before this change only a single clause was extracted from a conjunction
query. The percolator tried to extract the clauses that was rarest in order
(based on term length) to attempt less candidate queries to be selected
in the first place. However this still method there is still a very high
chance that candidate query matches are false positives.
This change also removes the influencing query extraction added via #26081
as this is no longer needed because now all conjunction clauses are extracted.
https://www.elastic.co/guide/en/elasticsearch/reference/6.x/percolator.html#_influencing_query_extractionCloses#26307
* 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
Today we can't validate the array length in `InputStreamStreamInput` since
we can't rely on `InputStream.available` yet in some situations we know
the size of the stream and can apply additional validation.
* Fix percolator highlight sub fetch phase to not highlight query twice
The PercolatorHighlightSubFetchPhase does not override hitExecute and since it extends HighlightPhase the search hits
are highlighted twice (by the highlight phase and then by the percolator). This does not alter the results, the second highlighting
just overrides the first one but this slow down the request because it duplicates the work.
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
RangeQueryBuilder needs to perform too many `instanceof` checks in order to
check for `date` or `range` fields in order to know what it should do with the
shape relation, time zone and date format.
This commit adds those 3 parameters to the `rangeQuery` factory method so that
those instanceof checks are not necessary anymore.
The percolator will add a `_percolator_document_slot` field to all percolator
hits to indicate with what document it has matched. This number matches with
the order in which the documents have been specified in the percolate query.
Also improved the support for multiple percolate queries in a search request.
* If in a range query upper is smaller than lower then ignore the range query
* If two empty range extractions are compared don't fail with NoSuchElementException
The `index.percolator.map_unmapped_fields_as_text` is a more better name, because unmapped fields are mapped to a text field with default settings
and string is no longer a field type (it is either keyword or text).
Julie Tibshirani
Christoph Büscher
Ke Li
Adrien Grand
Martijn van Groningen
Jason Tedor
Lee Hinman
Ryan Ernst
Christoph Büscher
Simon Willnauer
Colin Goodheart-Smithe
Tanguy Leroux
Jim Ferenczi