When we had multiple mapping types, an update to a field in one type had to be
propagated to the same field in all other types. This was done using the
Mapper.updateFieldType() method, called at the end of a merge. However, now
that we only have a single type per index, this method is unnecessary and can
be removed.
Relates to #41059
Backport of #56986
Merging logic is currently split between FieldMapper, with its merge() method, and
MappedFieldType, which checks for merging compatibility. The compatibility checks
are called from a third class, MappingMergeValidator. This makes it difficult to reason
about what is or is not compatible in updates, and even what is in fact updateable - we
have a number of tests that check compatibility on changes in mapping configuration
that are not in fact possible.
This commit refactors the compatibility logic so that it all sits on FieldMapper, and
makes it called at merge time. It adds a new FieldMapperTestCase base class that
FieldMapper tests can extend, and moves the compatibility testing machinery from
FieldTypeTestCase to here.
Relates to #56814
Mapper.Builder currently has some complex generics on it to allow fluent builder
construction. However, the second parameter, a return type from the build() method,
is unnecessary, as we can use covariant return types. This commit removes this second
generic parameter.
This PR proposes to use `IndexSortSortedNumericDocValuesRangeQuery` when
possible to speed up certain range queries. Points-based queries are already
very efficient, the only time this query makes a difference is when the range
matches a large number of documents.
Relates to #48665.
`FieldMapper#parseCreateField` accepts the parse context, plus a list of fields
as an output parameter. These fields are immediately added to the document
through `ParseContext#doc()`.
This commit simplifies the signature by removing the list of fields, and having
the mappers add the fields directly to `ParseContext#doc()`. I think this is
nicer for implementors, because previously fields could be added either through
the list, or the context (through `add`, `addWithKey`, etc.)
This commit introduces a new `geo` module that is intended
to be contain all the geo-spatial-specific features in server.
As a first step, the responsibility of registering the geo_shape
field mapper is moved to this module.
Co-authored-by: Nicholas Knize <nknize@gmail.com>
Some field name constants were not updaten when we moved from "string" to "text"
and "keyword" fields. Renaming them makes it easier and faster to know which
field type is used in test subclassing this base test case.
Refactor SearchHit to have separate document and meta fields.
This is a part of bigger refactoring of issue #24422 to remove
dependency on MapperService to check if a field is metafield.
Relates to PR: #38373
Relates to issue #24422
Co-authored-by: sandmannn <bohdanpukalskyi@gmail.com>
This is a simple naming change PR, to fix the fact that "metadata" is a
single English word, and for too long we have not followed general
naming conventions for it. We are also not consistent about it, for
example, METADATA instead of META_DATA if we were trying to be
consistent with MetaData (although METADATA is correct when considered
in the context of "metadata"). This was a simple find and replace across
the code base, only taking a few minutes to fix this naming issue
forever.
The highlighting phase for percolator queries currently uses some custom query
traversal logic to find all instances of PercolatorQuery in the query tree for the
current search context. This commit converts things to instead use a QueryVisitor,
which future-proofs us against new wrapper queries or queries from custom
plugins that the percolator module doesn't know about.
Lucene 8.5.0 release candidates are imminent. This commit upgrades master to use
the latest snapshot to check that there are no last-minute bugs or regressions.
ObjectParser allows you to declare a set of required fields, such that at least one
of the set must appear in an xcontent object for it to be valid. This commit adds
the similar concept of a set of exclusive fields, such that at most one of the set
must be present. It also enables required fields on ConstructingObjectParser, and
re-implements PercolateQueryBuilder.fromXContent() to use object parsing as
an example of how this works.
Generalize how queries on `_index` are handled at rewrite time (#52486)
Since this change refactors rewrites, I also took it as an opportunity to adrress #49254: instead of returning the same queries you would get on a keyword field when a field is unmapped, queries get rewritten to a MatchNoDocsQueryBuilder.
This change exposed a couple bugs, like the fact that the percolator doesn't rewrite queries at query time, or that the significant_terms aggregation doesn't rewrite its inner filter, which I fixed.
Closes#49254
Commit #52748 fixed a bug where percolate queries wrapped in a constant score
could report incorrect matches. This commit adds a test to check that it also fixes
the case where a percolate query is sorted by something other than score.
Closes#52618
Lucene's RAMDirectory has been deprecated. This commit replaces all uses of
RAMDirectory in elasticsearch with the newer ByteBuffersDirectory. Most uses
are in tests, but the percolator and painless executor may get some small speedups.
Currently, date ranges queries using NOW-based date math are rewritten to
MatchAllDocs queries when being preprocessed for the percolator. However,
since we added the verification step, this can result in incorrect matches when
percolator queries are run without scores. This commit changes things to instead
wrap date queries that use NOW with a new DateRangeIncludingNowQuery.
This is a simple wrapper query that returns its delegate at rewrite time, but it can
be detected by the percolator QueryAnalyzer and be dealt with accordingly.
This also allows us to remove a method on QueryRewriteContext, and push all
logic relating to NOW-based ranges into the DateFieldMapper.
Fixes#52617
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
(cherry picked from commit a8b39ed842c7770bd9275958c9f747502fd9a3ea)
With the rewrite of the percolator's QueryAnalyzer to use lucene's QueryVisitor API,
term queries that are direct children of a boolean query are handled separately from
other children. This works fine for conjunctions, but for disjunctions we need to
treat the extracted terms from these direct descendents along with extractions from
more deeply nested children to ensure that minimum-should-match requirements
are met correctly.
This commit changes the logic in QueryAnalyzer#getResult() to bundle child term
results with all other results before handling them.
Fixes#50305
When the query analyzer examines a conjunction containing both terms and ranges,
it should only include ranges in the minimum_should_match calculation if there are no
other range queries on that same field within the conjunction. This is because we cannot
build a selection query over disjoint ranges on the same field, and it is not easy to check
if two range queries have an overlap.
The current logic to calculate this just sets minimum_should_match to 1 or 0, dependent
on whether or not the current range is over a field that has already been seen. However, this
can be incorrect in the case that there are terms in the same match group which adjust the
minimum_should_match downwards. Instead, the logic should be changed to match the
terms extraction, whereby we adjust minimum_should_match downwards if we have already
seen a range field.
Fixes#49684
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
Lucene now allows us to explore the structure of a query using QueryVisitors,
delegating the knowledge of how to recurse through and collect terms to the
query implementations themselves. The percolator currently has a home-grown
external version of this API to construct sets of matching terms that must be
present in a document in order for it to possibly match the query.
This commit removes the home-grown implementation in favour of one using
QueryVisitor. This has the added benefit of making interval queries available
for percolator pre-filtering. Due to a bug in multi-term intervals (LUCENE-9050)
it also includes a clone of some of the lucene intervals logic, that can be removed
once upstream has been fixed.
Closes#45639
Backport of #48849. Update `.editorconfig` to make the Java settings the
default for all files, and then apply a 2-space indent to all `*.gradle`
files. Then reformat all the files.
Today built-in highlighter and plugins have access to the SearchContext through the
highlighter context. However most of the information exposed in the SearchContext are not needed and a QueryShardContext
would be enough to perform highlighting. This change replaces the SearchContext by the informations that are absolutely
required by highlighter: a QueryShardContext and the SearchContextHighlight. This change allows to reduce the exposure of the
complex SearchContext and remove the needs to clone it in the percolator sub phase.
Relates #47198
Relates #46523
This commit replaces the SearchContext used in AbstractQueryTestCase with
a QueryShardContext in order to reduce the visibility of search contexts.
Relates #46523
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 change adds an IndexSearcher and the node's BigArrays in the QueryShardContext.
It's a spin off of #46527 as this change is required to allow aggregation builder to solely use the
query shard context.
Relates #46523
Backport of 1a0dddf4ad24b3f2c751a1fe0e024fdbf8754f94 (AKA #445395)
* Add support for a Range field ValuesSource, including decode logic for range doc values and exposing RangeType as a first class enum
* Provide hooks in ValuesSourceConfig for aggregations to control ValuesSource class selection on missing & script values
* Branch aggregator creation in Histogram and DateHistogram based on ValuesSource class, to enable specialization based on type. This is similar to how Terms aggregator works.
* Prioritize field type when available for selecting the ValuesSource class type to use for an aggregation
This commit changes the way we manage refreshes in the index engines.
Instead of relying on a SearcherManager, this change uses a ReaderManager that
creates ElasticsearchDirectoryReader when needed. Searchers are now created on-demand
(when acquireSearcher is called) from the current ElasticsearchDirectoryReader.
It also slightly changes the Engine.Searcher to extend IndexSearcher in order
to simplify the usage in the consumer.
Currently `AbstractQueryTestCase#testToQuery` checks the search context cachable
flag. This is a bit fragile due to the high randomization of query builders
performed by this general test. Also we might only rarely check the
"interesting" cases because they rarely get generated when fully randomizing the
query builder.
This change moved the general checks out ot #testToQuery and instead adds
dedicated cache tests for those query builders that exhibit something other than
the default behaviour.
Closes#43200
This commit makes creators of GetField split the fields into document fields and metadata fields. It is part of larger refactoring that aims to remove the calls to static methods of MapperService related to metadata fields, as discussed in #24422.
`document_type` is the type to use for parsing the document to percolate, which
is already optional and deprecated. However `percotale` queries also have the
ability to percolate existing documents, identified by an index, an id and a
type. This change makes the latter optional and deprecated.
Closes#39963
This PR removes the temporary change we made to the yml test harness in #37285
to automatically set `include_type_name` to `true` in index creation requests
if it's not already specified. This is possible now that the vast majority of
index creation requests were updated to be typeless in #37611. A few additional
tests also needed updating here.
Additionally, this PR updates the test harness to set `include_type_name` to
`false` in index creation requests when communicating with 6.x nodes. This
mirrors the logic added in #37611 to allow for typeless document write requests
in test set-up code. With this update in place, we can remove many references
to `include_type_name: false` from the yml tests.
This PR attempts to remove all typed calls from our YAML REST tests. The PR adds include_type_name: false to create index requests that use a mapping and also to put mapping requests. It also removes _type from index requests where they haven't already been removed. The PR ignores tests named *_with_types.yml since this are specifically testing typed API behaviour.
The change also includes changing the test harness to add the type _doc to index, update, get and bulk requests that do not specify the document type when the test is running against a mixed 7.x/6.x cluster.
Today the routing of a SourceToParse is assigned in a separate step
after the object is created. We can easily forget to set the routing.
With this commit, the routing must be provided in the constructor of
SourceToParse.
Relates #36921
This commit adds the last sequence number and primary term of the last operation that have
modified a document to `GetResult` and uses it to power the Update API.
Relates #36148
Relates #10708
This commit changes the format of the `hits.total` in the search response to be an object with
a `value` and a `relation`. The `value` indicates the number of hits that match the query and the
`relation` indicates whether the number is accurate (in which case the relation is equals to `eq`)
or a lower bound of the total (in which case it is equals to `gte`).
This change also adds a parameter called `rest_total_hits_as_int` that can be used in the
search APIs to opt out from this change (retrieve the total hits as a number in the rest response).
Note that currently all search responses are accurate (`track_total_hits: true`) or they don't contain
`hits.total` (`track_total_hits: true`). We'll add a way to get a lower bound of the total hits in a
follow up (to allow numbers to be passed to `track_total_hits`).
Relates #33028
Today when a percolator query contains a date range then the query
analyzer extracts that range, so that at search time the `percolate` query
can exclude percolator queries efficiently that are never going to match.
The problem is that if 'now' is used it is evaluated at index time.
So the idea is to rewrite date ranges with 'now' to a match all query,
so that the query analyzer can't extract it and the `percolate` query
is then able to evaluate 'now' at query time.
Stop passing `Settings` to `AbstractComponent`'s ctor. This allows us to
stop passing around `Settings` in a *ton* of places. While this change
touches many files, it touches them all in fairly small, mechanical
ways, doing a few things per file:
1. Drop the `super(settings);` line on everything that extends
`AbstractComponent`.
2. Drop the `settings` argument to the ctor if it is no longer used.
3. If the file doesn't use `logger` then drop `extends
AbstractComponent` from it.
4. Clean up all compilation failure caused by the `settings` removal
and drop any now unused `settings` isntances and method arguments.
I've intentionally *not* removed the `settings` argument from a few
files:
1. TransportAction
2. AbstractLifecycleComponent
3. BaseRestHandler
These files don't *need* `settings` either, but this change is large
enough as is.
Relates to #34488
After discussing on the team's FixItFriday, we concluded that
static final instance variables that are mutable should be lowercased.
Historically, DeprecationLogger was uppercased more frequently than lowercased.
This change adds the OneStatementPerLineCheck to our checkstyle precommit
checks. This rule restricts the number of statements per line to one. The
resoning behind this is that it is very difficult to read multiple statements on
one line. People seem to mostly use it in short lambdas and switch statements in
our code base, but just going through the changes already uncovered some actual
problems in randomization in test code, so I think its worth it.
The main benefit of the upgrade for users is the search optimization for top scored documents when the total hit count is not needed. However this optimization is not activated in this change, there is another issue opened to discuss how it should be integrated smoothly.
Some comments about the change:
* Tests that can produce negative scores have been adapted but we need to forbid them completely: #33309Closes#32899
As part of #32608 we made sure that the fully qualified index name is taken from the query shard context whenever creating a new `QueryShardException`. That change introduced a regression as instead of setting the entire `Index` object to the exception, which holds index name and index uuid, we ended up setting only the index name (including cluster alias). With this commit we make sure that the index uuid does not get lost and we try to lower the chances that a similar bug makes it in another time. That's done by making `QueryShardContext` return the fully qualified `Index` (which also holds the uuid) rather than only the fully qualified index name.
* master:
Painless: Simplify Naming in Lookup Package (#32177)
Handle missing values in painless (#32207)
add support for write index resolution when creating/updating documents (#31520)
ECS Task IAM profile credentials ignored in repository-s3 plugin (#31864)
Remove indication of future multi-homing support (#32187)
Rest test - allow for snapshots to take 0 milliseconds
Make x-pack-core generate a pom file
Rest HL client: Add put watch action (#32026)
Build: Remove pom generation for plugin zip files (#32180)
Fix comments causing errors with Java 11
Fix rollup on date fields that don't support epoch_millis (#31890)
Detect and prevent configuration that triggers a Gradle bug (#31912)
[test] port linux package packaging tests (#31943)
Revert "Introduce a Hashing Processor (#31087)" (#32178)
Remove empty @return from JavaDoc
Adjust SSLDriver behavior for JDK11 changes (#32145)
[test] use randomized runner in packaging tests (#32109)
Add support for field aliases. (#32172)
Painless: Fix caching bug and clean up addPainlessClass. (#32142)
Call setReferences() on custom referring tokenfilters in _analyze (#32157)
Fix BwC Tests looking for UUID Pre 6.4 (#32158)
Improve docs for search preferences (#32159)
use before instead of onOrBefore
Add more contexts to painless execute api (#30511)
Add EC2 credential test for repository-s3 (#31918)
A replica can be promoted and started in one cluster state update (#32042)
Fix Java 11 javadoc compile problem
Fix CP for namingConventions when gradle home has spaces (#31914)
Fix `range` queries on `_type` field for singe type indices (#31756)
[DOCS] Update TLS on Docker for 6.3 (#32114)
ESIndexLevelReplicationTestCase doesn't support replicated failures but it's good to know what they are
Remove versionType from translog (#31945)
Switch distribution to new style Requests (#30595)
Build: Skip jar tests if jar disabled
Painless: Add PainlessClassBuilder (#32141)
Build: Make additional test deps of check (#32015)
Disable C2 from using AVX-512 on JDK 10 (#32138)
Build: Move shadow customizations into common code (#32014)
Painless: Fix Bug with Duplicate PainlessClasses (#32110)
Remove empty @param from Javadoc
Re-disable packaging tests on suse boxes
Docs: Fix missing example script quote (#32010)
[ML] Wait for aliases in multi-node tests (#32086)
[ML] Move analyzer dependencies out of categorization config (#32123)
Ensure to release translog snapshot in primary-replica resync (#32045)
Handle TokenizerFactory TODOs (#32063)
Relax TermVectors API to work with textual fields other than TextFieldType (#31915)
Updates the build to gradle 4.9 (#32087)
Mute :qa:mixed-cluster indices.stats/10_index/Index - all’
Check that client methods match API defined in the REST spec (#31825)
Enable testing in FIPS140 JVM (#31666)
Fix put mappings java API documentation (#31955)
Add exclusion option to `keep_types` token filter (#32012)
[Test] Modify assert statement for ssl handshake (#32072)
* 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)
* master:
REST high-level client: add get index API (#31703)
SQL: Allow long literals (#31777)
SQL: Fix incorrect message for aliases (#31792)
Test: Do not remove xpack templates when cleaning (#31642)
Reduce more raw types warnings (#31780)
Add unreleased version 6.3.2
Scripting: Remove support for deprecated StoredScript contexts (#31394)
[ML][TEST] Use java 11 valid time format in DataDescriptionTests (#31817)
[ML] Don't treat stale FAILED jobs as OPENING in job allocation (#31800)
[ML] Fix calendar and filter updates from non-master nodes (#31804)
Fix license header generation on Windows (#31790)
mark RollupIT.testTwoJobsStartStopDeleteOne as AwaitsFix
mark SearchAsyncActionTests.testFanOutAndCollect as AwaitsFix
Correct exclusion of test on JDK 11
Fix doclint jdk 11
Add JDK11 support and enable in CI (#31644)
Watcher: Fix check for currently executed watches (#31137)
Watcher: Ensure correct method is used to read secure settings (#31753)
SQL: Update CLI logo
Today if a user omits the `_source` entirely or modifies the source
on indexing we have no chance to re-create the document after it has
been added. This is an issue for CCR and recovery based on soft deletes
which we are going to make the default. This change adds an additional
recovery source if the source is disabled or modified that is only kept
around until the document leaves the retention policy window.
This change adds a merge policy that efficiently removes this extra source
on merge for all document that are live and not in the retention policy window
anymore.
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).
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
Approaching the release of 6.0 we need to sort out the usage of
`Version#minimumCompatibilityVersion` which was still set to 5.0.0.
Now this change moves it to the latest released version of 5.x (5.4 at this point)
to ensure we are compatible with the latest minor of the previous major. This change
also removes all the `_UNRELEASED` from the versions that where released and drops versions
that were never released and are not expected to be released (bugfixes in minors that are not
the latest in the previous major).
This commit renames all rest test files to use the .yml extension
instead of .yaml. This way the extension used within all of
elasticsearch for yaml is consistent.
Range queries with now based date ranges were previously not allowed,
but since #23921 these queries were allowed. This change should really
fix range queries with now based date ranges.
* Add parent-join module
This change adds a new module named `parent-join`.
The goal of this module is to provide a replacement for the `_parent` field but as a first step this change only moves the `has_child`, `has_parent` queries and the `children` aggregation to this module.
These queries and aggregations are no longer in core but they are deployed by default as a module.
Relates #20257
This adds the `index.mapping.single_type` setting, which enforces that indices
have at most one type when it is true. The default value is true for 6.0+ indices
and false for old indices.
Relates #15613
The percolator doesn't close the IndexReader of the memory index any more.
Prior to 2.x the percolator had its own SearchContext (PercolatorContext) that did this,
but that was removed when the percolator was refactored as part of the 5.0 release.
I think an alternative way to fix this is to let percolator not use the bitset and fielddata caches,
that way we prevent the memory leak.
Closes#24108
This change simplifies how the rest test runner finds test files and
removes all leniency. Previously multiple prefixes and suffixes would
be tried, and tests could exist inside or outside of the classpath,
although outside of the classpath never quite worked. Now only classpath
tests are supported, and only one resource prefix is supported,
`/rest-api-spec/tests`.
closes#20240
We want to upgrade to Lucene 7 ahead of time in order to be able to check whether it causes any trouble to Elasticsearch before Lucene 7.0 gets released. From a user perspective, the main benefit of this upgrade is the enhanced support for sparse fields, whose resource consumption is now function of the number of docs that have a value rather than the total number of docs in the index.
Some notes about the change:
- it includes the deprecation of the `disable_coord` parameter of the `bool` and `common_terms` queries: Lucene has removed support for coord factors
- it includes the deprecation of the `index.similarity.base` expert setting, since it was only useful to configure coords and query norms, which have both been removed
- two tests have been marked with `@AwaitsFix` because of #23966, which we intend to address after the merge
Before now ranges where forbidden, because the percolator query itself could get cached and then the percolator queries with now ranges that should no longer match, incorrectly will continue to match.
By disabling caching when the `percolator` is being used, the percolator can now correctly support range queries with now based ranges.
I think this is the right tradeoff. The percolator query is likely to not be the same between search requests and disabling range queries with now ranges really disabled people using the percolator for their use cases.
Also fixed an issue that existed in the percolator fieldmapper, it was unable to find forbidden queries inside `dismax` queries.
Closes#23859
Mark Tozzi
Alan Woodward
Julie Tibshirani
Ignacio Vera
Tal Levy
Christoph Büscher
Mayya Sharipova
Jason Tedor
Jake Landis
Alan Woodward
Adrien Grand
Marios Trivyzas
jimczi
Rory Hunter
Gürkan Kaymak
Ryan Ernst
Martijn van Groningen
Colin Goodheart-Smithe
Josh Soref
Nhat Nguyen
Boaz Leskes
Nick Knize
Nik Everett
Luca Cavanna
Simon Willnauer
Ke Li
Lee Hinman
Christoph Büscher
Tanguy Leroux
Yannick Welsch
Christoph Büscher