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).
Due to the weird way of structuring the serialization code in AcknowledgedRequest, many request types forgot to properly serialize the request timeout, for example "index deletion", "index rollover", "index shrink", "putting pipeline", and other requests. This means that if those requests were not directly sent to the master node, the acknowledgement timeout information would be lost (and the default used instead).
Some requests also don't properly expose the timeout mechanism in the REST layer, such as put / delete stored script. This commit fixes all that.
The percolator field mapper doesn't need to extract all terms and ranges from a bool query with must or filter clauses.
In order to help to default extraction behavior, boost fields can be configured, so that fields that are known for not being
selective enough can be ignored in favor for other fields or clauses with specific fields can forcefully take precedence over other clauses.
This can help selecting clauses for fields that don't match with a lot of percolator queries over other clauses and thus improving performance of the percolate query.
For example a status like field is something that should configured as an ignore field.
Queries on this field tend to match with more documents and so if clauses for this fields
get selected as best clause then that isn't very helpful for the candidate query that the
percolate query generates to filter out percolator queries that are likely not going to match.
We introduced a hack in #25885 to respect the cluster alias if available on the `_index` field. This is important if aggregations or other field data related operations are executed. Yet, we added a small hack that duplicated an implementation detail from the `_index` field data builder to make this work. This change adds a necessary but simple API change that allows us to remove the hack and only have a single implementation.
The Writeble representation is less heavy to parse and that will benefit percolate performance and throughput.
The query builder's binary format has now the same bwc guarentees as the xcontent format.
Added a qa test that verifies that percolator queries written in older versions are still readable by the current version.
This change merges the functionality of the FiltersFunctionScoreQuery in the FunctionScoreQuery.
It also ensures that an exception is thrown when the computed score is equals to Float.NaN or Float.NEGATIVE_INFINITY.
These scores are invalid for TopDocsCollectors that relies on score comparison.
Fixes#15709Fixes#23628
Extracts ranges from range queries on byte, short, integer, long, half_float, scaled_float, float, double, date and ip fields.
byte, short, integer and date ranges are normalized to Lucene's LongRange.
half_float and float are normalized to Lucene's DoubleRange.
When extracting range queries, the QueryAnalyzer computes the width of the range. This width is used to determine
what range should be preferred in a conjunction query. The QueryAnalyzer prefers the smaller ranges, because these
ranges tend to match with less documents.
Closes#21040
Today when we aggregate on the `_index` field the cross cluster search
alias is not taken into account. Neither is it respected when we search
on the field. This change adds support for cluster alias when the cluster
alias is present on the `_index` field.
Closes#25606
This change rewrites search requests on the coordinating node before
we send requests to the individual shards. This will reduce the rewrite load
and object creation for each rewrite on the executing nodes and will fetch
resources only once instead of N times once per shard for queries like `terms`
query with index lookups. (among percolator and geo-shape)
Relates to #25791
The `QueryRewriteContext` used to provide a client object that can
be used to fetch geo-shapes, terms or documents for percolation. Unfortunately
all client calls used to be blocking calls which can have significant impact on the
rewrite phase since it occupies an entire search thread until the resource is
received. In the case that the index the resource is fetched from isn't on the local
node this can have significant impact on query throughput.
Note: this doesn't fix MLT since it fetches stuff in doQuery which is a different beast. Yet, it is a huge step in the right direction
Today we have duplicated code that is quite complicated to iterate
over rewriteable (`QueryBuilders` mainly) This change introduces a
`Rewriteable` interface that allow to share code to do the rewriting as
well as encapsulation and composition of queries.
We currently use fielddata on the `_id` field which is trappy, especially as we
do it implicitly. This changes the `random_score` function to use doc ids when
no seed is provided and to suggest a field when a seed is provided.
For now the change only emits a deprecation warning when no field is supplied
but this should be replaced by a strict check on 7.0.
Closes#25240
This commit does two things:
- bumps the version from 6.0.0-alpha3 to 6.0.0-beta1
- renames the 6.0.0-alpha3 version constant to 6.0.0-beta1
Relates #25621
QueryParseContext is currently only used as a wrapper for an XContentParser, so
this change removes it entirely and changes the appropriate APIs that use it so
far to only accept a parser instead.
Currently QueryParseContext is only a thin wrapper around an XContentParser that
adds little functionality of its own. I provides helpers for long deprecated
field names which can be removed and two helper methods that can be made static
and moved to other classes. This is a first step in helping to remove
QueryParseContext entirely.
Most notable changes:
- better update concurrency: LUCENE-7868
- TopDocs.totalHits is now a long: LUCENE-7872
- QueryBuilder does not remove the boolean query around multi-term synonyms:
LUCENE-7878
- removal of Fields: LUCENE-7500
For the `TopDocs.totalHits` change, this PR relies on the fact that the encoding
of vInts and vLongs are compatible: you can write and read with any of them as
long as the value can be represented by a positive int.
The `document_type` parameter is no longer required to be specified,
because by default from 6.0 only a single type is allowed. (`index.mapping.single_type` defaults to `true`)
This commit adds back "id" as the key within a script to specify a
stored script (which with file scripts now gone is no longer ambiguous).
It also adds "source" as a replacement for "code". This is in an attempt
to normalize how scripts are specified across both put stored scripts and script usages, including search template requests. This also deprecates the old inline/stored keys.
This commit modifies query_string, simple_query_string and multi_match queries to always use a DisjunctionMaxQuery when a disjunction over multiple fields is built. The tiebreaker is set to 1 in order to behave like the boolean query in terms of scoring.
The removal of the coord factor in Lucene 7 made this change mandatory to correctly handle minimum_should_match.
Closes#23966
The `scorerSupplier` API allows to give a hint to queries in order to let them
know that they will be consumed in a random-access fashion. We should use this
for aggregations, function_score and matched queries.
This change moves the parent_id query to the parent-join module and handles the case when only the parent-join field can be declared on an index (index with single type on).
If single type is off it uses the legacy parent join field mapper and switch to the new one otherwise (default in 6).
Relates #20257
Martijn van Groningen
Adrien Grand
Christoph Büscher
Simon Willnauer
Colin Goodheart-Smithe
Tanguy Leroux
Jim Ferenczi
Yannick Welsch
Jason Tedor
Christoph Büscher
Ryan Ernst