Expose the experimental simplepattern and
simplepatternsplit tokenizers in the common
analysis plugin. They provide tokenization based
on regular expressions, using Lucene's
deterministic regex implementation that is usually
faster than Java's and has protections against
creating too-deep stacks during matching.
Both have a not-very-useful default pattern of the
empty string because all tokenizer factories must
be able to be instantiated at index creation time.
They should always be configured by the user
in practice.
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
Converts the analysis docs to that were marked as json into `CONSOLE`
format. A few of them were in yaml but marked as json for historical
reasons. I added more complete examples for a few of the less obvious
sounding ones.
Relates to #18160
The pattern-analyzer docs contained a snippet that was an expanded
regex that was marked as `[source,js]`. This changes it to
`[source,regex]`.
The htmlstrip-charfilter and pattern-replace-charfilter docs had
examples that were actually a list of tokens but marked `[source,js]`.
This marks them as `[source,text]` so they don't count as unconverted
CONSOLE snippets.
The pattern-replace-charfilter also had a doc who's test was
skipped because of funny interaction with the test framework. This
fixes the test.
Three more down, eighty-two to go.
Relates to #18160
CONSOLEifies the lang-analyzer docs and replaces the (invalid)
empty `keyword_marker` setups that were on the page with one
that contains the word "example" translated into the appropriate
language.
Relates to #18160
This commit adds support for the pattern keyword marker filter in
Lucene. Previously, the keyword marker filter in Elasticsearch
supported specifying a keywords set or a path to a set of keywords.
This commit exposes the regular expression pattern based keyword marker
filter also available in Lucene, so that any token matching the pattern
specified by the `keywords_pattern` setting is excluded from being
stemmed by any stemming filters.
Closes#4877
This change exposes the new Lucene graph based word delimiter token filter in the analysis filters.
Unlike the `word_delimiter` this token filter named `word_delimiter_graph` correctly handles multi terms expansion at query time.
Closes#23104
This PR removes all leniency in the conversion of Strings to booleans: "true"
is converted to the boolean value `true`, "false" is converted to the boolean
value `false`. Everything else raises an error.
This adds a new `normalizer` property to `keyword` fields that pre-processes the
field value prior to indexing, but without altering the `_source`. Note that
only the normalization components that work on a per-character basis are
applied, so for instance stemming filters will be ignored while lowercasing or
ascii folding will be applied.
Closes#18064
* Repeated language analyzers
The `catalan` analyzer was repeated on the supported list :)
* Reordered the languages to have alphabetic order
* Added space for format
* Reordered the languages and removed repeated
Integrate the patch from LUCENE-6664 into elasticsearch and
add support for handling a graph token stream in match/multi-match
queries.
This fixes longstanding bugs with multi-token synonyms returning
incorrect results with proximity queries.
Exposing lucene 6.x minhash tokenfilter
Generate min hash tokens from an incoming stream of tokens that can
be used to estimate document similarity.
Closes#20149
This change adds a special field named _none_ that allows to disable the retrieval of the stored fields in a search request or in a TopHitsAggregation.
To completely disable stored fields retrieval (including disabling metadata fields retrieval such as _id or _type) use _none_ like this:
````
POST _search
{
"stored_fields": "_none_"
}
````
* Docs: Improved tokenizer docs
Added descriptions and runnable examples
* Addressed Nik's comments
* Added TESTRESPONSEs for all tokenizer examples
* Added TESTRESPONSEs for all analyzer examples too
* Added docs, examples, and TESTRESPONSES for character filters
* Skipping two tests:
One interprets "$1" as a stack variable - same problem exists with the REST tests
The other because the "took" value is always different
* Fixed tests with "took"
* Fixed failing tests and removed preserve_original from fingerprint analyzer
Rearranges the FingerprintAnalyzer so that AsciiFolding comes earlier in the chain (after lowercasing, before stop removal, for maximum deduping power)
Closes#18266
* Docs: First pass at improving analyzer docs
I've rewritten the intro to analyzers plus the docs
for all analyzers to provide working examples.
I've also removed:
* analyzer aliases (see #18244)
* analyzer versions (see #18267)
* snowball analyzer (see #8690)
Next steps will be tokenizers, token filters, char filters
* Fixed two typos
The snippet in the docs creates and index and uses it with the
_analyze api. The trouble is that if the index hasn't been created
fully the _analyze API will fail. This adds a
GET _cluster/health?wait_for_status=yellow
which fixes the issue.
While this does make the docs more cluttered, it also makes the snippets
actually runnable.
Closes#18165
Adds infrastructure so `gradle :docs:check` will extract tests from
snippets in the documentation and execute the tests. This is included
in `gradle check` so it should happen on CI and during a normal build.
By default each `// AUTOSENSE` snippet creates a unique REST test. These
tests are executed in a random order and the cluster is wiped between
each one. If multiple snippets chain together into a test you can annotate
all snippets after the first with `// TEST[continued]` to have the
generated tests for both snippets joined.
Snippets marked as `// TESTRESPONSE` are checked against the response
of the last action.
See docs/README.asciidoc for lots more.
Closes#12583. That issue is about catching bugs in the docs during build.
This catches *some* bugs in the docs during build which is a good start.
Adds a `fingerprint` token filter which uses Lucene's FingerprintFilter,
and a `fingerprint` analyzer that combines the Fingerprint filter with
lowercasing, stop word removal and asciifolding.
Closes#13325
Andy Bristol
Jim Ferenczi
Adrien Grand
Nik Everett
Abdon Pijpelink
Ali Beyad
Jim Ferenczi
markwalkom
Clinton Gormley
Shubham Aggarwal
Daniel Mitterdorfer
Michael McCandless
Matt Weber
Achraf
Francesc Gil
Thibault Pierre
Allen Torres
Pascal Borreli
Alexander Lin
Zachary Tong