* Adds a title abbreviation
* Updates the description and adds a Lucene link
* Reformats the parameters section
* Adds analyze, custom analyzer, and custom filter snippets
Relates to #44726.
* Adds a title abbreviation
* Relocates the older name deprecation warning
* Updates the description and adds a Lucene link
* Adds a note to explain payloads and how to store them
* Adds analyze and custom analyzer snippets
* Adds a 'Return stored payloads' example
Reformats the edge n-gram and n-gram token filter docs. Changes include:
* Adds title abbreviations
* Updates the descriptions and adds Lucene links
* Reformats parameter definitions
* Adds analyze and custom analyzer snippets
* Adds notes explaining differences between the edge n-gram and n-gram
filters
Additional changes:
* Switches titles to use "n-gram" throughout.
* Fixes a typo in the edge n-gram tokenizer docs
* Adds an explicit anchor for the `index.max_ngram_diff` setting
Currently the `token_chars` setting in both `edgeNGram` and `ngram` tokenizers
only allows for a list of predefined character classes, which might not fit
every use case. For example, including underscore "_" in a token would currently
require the `punctuation` class which comes with a lot of other characters.
This change adds an additional "custom" option to the `token_chars` setting,
which requires an additional `custom_token_chars` setting to be present and
which will be interpreted as a set of characters to inlcude into a token.
Closes#25894
The `edge_ngram` tokenizer limits tokens to the `max_gram` character
length. Autocomplete searches for terms longer than this limit return
no results.
To prevent this, you can use the `truncate` token filter to truncate
tokens to the `max_gram` character length. However, this could return irrelevant results.
This commit adds some advisory text to make users aware of this limitation and outline the tradeoffs for each approach.
Closes#48956.
The first example of splitting rules for the `word_delimiter` token filter was spread across two bullet points. This makes it look like they are two separate splitting rules.
The sample code is wrong. Field type is required for the sample field.
I guess the intention was to give the sample field the name ```fingerprint```, mapping it as ```text``` using the custom analyzer ```my_analyzer```
Currently changing resources (like dictionaries, synonym files etc...) of search
time analyzers is only possible by closing an index, changing the underlying
resource (e.g. synonym files) and then re-opening the index for the change to
take effect.
This PR adds a new API endpoint that allows triggering reloading of certain
analysis resources (currently token filters) that will then pick up changes in
underlying file resources. To achieve this we introduce a new type of custom
analyzer (ReloadableCustomAnalyzer) that uses a ReuseStrategy that allows
swapping out analysis components. Custom analyzers that contain filters that are
markes as "updateable" will automatically choose this implementation. This PR
also adds this capability to `synonym` token filters for use in search time
analyzers.
Relates to #29051
We should throw an exception at construction time if a list of
articles is not provided, otherwise we can get random NPEs during
indexing.
Relates to #43002
In #30209 we deprecated the camel case `nGram` filter name in favour of `ngram` and
did the same for `edgeNGram` and `edge_ngram` and we are removing those names in
8.0. This change disallows using the deprecated names for new indices created in 7.0 by
throwing an error if these filters are used.
Relates to #38911
Make substitution of \u200C with a space explicit
The problem with this symbol `\u200C` in a test string,
that **SHOULD** be substituted with space in the rebuilt Persian analyzer, but it is not.
Correcting this line `"mappings": [ "\\u200C=> "] <1>` to
`"mappings": [ "\\u200C=>\\u0020"] <1>` in solves the problem.
This change explicitly says to substitute ZWNJ with a space.
Closes#38188
James Rodewig
Christoph Büscher
gpaimla
Julian Simioni
Peter Johnson
Wilder Pereira
Abhilash Bolla
Alan Woodward
Sachin Frayne
Mayya Sharipova
Peter Dyson
Guilherme Ferreira
jimczi
Jim Ferenczi