The following analyzers were moved from server module to analysis-common module:
`snowball`, `arabic`, `armenian`, `basque`, `bengali`, `brazilian`, `bulgarian`,
`catalan`, `chinese`, `cjk`, `czech`, `danish`, `dutch`, `english`, `finnish`,
`french`, `galician` and `german`.
Relates to #23658
move `finger_print`, `pattern` and `standard_html_strip` analyzers
to analysis-common module. (both AnalysisProvider and PreBuiltAnalyzerProvider)
Changed PreBuiltAnalyzerProviderFactory to extend from PreConfiguredAnalysisComponent and
changed to make sure that predefined analyzers are always instantiated with the current
ES version and if an instance is requested for a different version then delegate to PreBuiltCache.
This is similar to the behaviour that exists today in AnalysisRegistry.PreBuiltAnalysis and
PreBuiltAnalyzerProviderFactory. (#31095)
Relates to #23658
=== Char Group Tokenizer
The `char_group` tokenizer breaks text into terms whenever it encounters
a
character which is in a defined set. It is mostly useful for cases where
a simple
custom tokenization is desired, and the overhead of use of the
<<analysis-pattern-tokenizer, `pattern` tokenizer>>
is not acceptable.
=== Configuration
The `char_group` tokenizer accepts one parameter:
`tokenize_on_chars`::
A string containing a list of characters to tokenize the string on.
Whenever a character
from this list is encountered, a new token is started. Also supports
escaped values like `\\n` and `\\f`,
and in addition `\\s` to represent whitespace, `\\d` to represent
digits and `\\w` to represent letters.
Defaults to an empty list.
=== Example output
```The 2 QUICK Brown-Foxes jumped over the lazy dog's bone for $2```
When the configuration `\\s-:<>` is used for `tokenize_on_chars`, the
above sentence would produce the following terms:
```[ The, 2, QUICK, Brown, Foxes, jumped, over, the, lazy, dog's, bone,
for, $2 ]```
The camel case name `nGram` should be removed in favour of `ngram` and
similar for `edgeNGram` and `edge_ngram`. Before removal, we need to
deprecate the camel case names first. This change adds deprecation
warnings for indices with versions 6.4.0 and higher and logs deprecation
warnings.
The following tokenizers were moved: classic, edge_ngram,
letter, lowercase, ngram, path_hierarchy, pattern, thai, uax_url_email and
whitespace.
Left keyword tokenizer factory in server module, because
normalizers directly depend on it.This should be addressed on a
follow up change.
Relates to #23658
Upgrade to lucene-7.4.0-snapshot-1ed95c097b
This version contains:
* An Analyzer for Korean
* An IntervalQuery and IntervalsSource that retrieve minimum intervals of positional queries.
* A new API to retrieve matches (offsets and positions) of a query for a single document.
* Support for soft deletes in the index writer.
* A fixed shingle filter that handles index time synonyms.
* Support for emoji sequence in ICUTokenizer (with an upgrade to icu 61.1)
Many tests are added with a version check so that they do not run against a
version that doesn't have the feature yet. Master is 7.0, so all tests that
do not run against 6.0+ can be removed and the version check can be removed
on all tests that always run on 6.0+.
The camel case name `htmlStip` should be removed in favour of `html_strip`, but
we need to deprecate it first. This change adds deprecation warnings for indices
with version starting with 6.3.0 and logs deprecation warnings in this cases.
From 7.0 on, using `delimited_payload_filter` should throw an error.
It was deprecated in 6.2 in favour of `delimited_payload` (#26625).
Relates to #27704
AnalysisFactoryTestCase checks that the ES custom token filter multi-term
awareness matches the underlying lucene factory. For the trim filter this
won't be the case until LUCENE-8093 is released in 7.3, so we add a
temporary exclusion
Closes#27310
The `delimited_payload_filter` is renamed to `delimited_payload`, the old name is
deprecated and should be replaced by `delimited_payload`.
Closes#21978
* Add limits for ngram and shingle settings (#27211)
Create index-level settings:
max_ngram_diff - maximum allowed difference between max_gram and min_gram in
NGramTokenFilter/NGramTokenizer. Default is 1.
max_shingle_diff - maximum allowed difference between max_shingle_size and
min_shingle_size in ShingleTokenFilter. Default is 3.
Throw an IllegalArgumentException when
trying to create NGramTokenFilter, NGramTokenizer, ShingleTokenFilter
where difference between max_size and min_size exceeds the settings value.
Closes#25887
Only tests should use the single argument Environment constructor. To
enforce this the single arg Environment constructor has been replaced with
a test framework factory method.
Production code (beyond initial Bootstrap) should always use the same
Environment object that Node.getEnvironment() returns. This Environment
is also available via dependency injection.
Today we return a `String[]` that requires copying values for every
access. Yet, we already store the setting as a list so we can also directly
return the unmodifiable list directly. This makes list / array access in settings
a much cheaper operation especially if lists are large.
Today we represent each value of a list setting with it's own dedicated key
that ends with the index of the value in the list. Aside of the obvious
weirdness this has several issues especially if lists are massive since it
causes massive runtime penalties when validating settings. Like a list of 100k
words will literally cause a create index call to timeout and in-turn massive
slowdown on all subsequent validations runs.
With this change we use a simple string list to represent the list. This change
also forbids to add a settings that ends with a .0 which was internally used to
detect a list setting. Once this has been rolled out for an entire major
version all the internal .0 handling can be removed since all settings will be
converted.
Relates to #26723
This change adds a fromXContent method to Settings that allows to read
the xcontent that is produced by toXContent. It also replaces the entire settings
loader infrastructure and removes the structured map representation. Future PRs will
also tackle the `getAsMap` that exposes the internal represenation of settings for
better encapsulation.
* Remove the _all metadata field
This change removes the `_all` metadata field. This field is deprecated in 6
and cannot be activated for indices created in 6 so it can be safely removed in
the next major version (e.g. 7).
The following token filters were moved: arabic_stem, brazilian_stem, czech_stem, dutch_stem, french_stem, german_stem and russian_stem.
Relates to #23658
The following token filters were moved: delimited_payload_filter, keep, keep_types, classic, apostrophe, decimal_digit, fingerprint, min_hash and scandinavian_folding.
Relates to #23658
This change disables the graph analysis on default `shingle` filter.
The pre-configured shingle filter produces shingles of different size.
Graph analysis on such token stream is useless and dangerous as it may create too many paths.
Fixes#25555
The following token filters were moved: arabic_normalization, german_normalization, hindi_normalization, indic_normalization, persian_normalization, scandinavian_normalization, serbian_normalization, sorani_normalization, cjk_width and cjk_width
Relates to #23658
This change refactors the query_string query to analyze the query text around logical operators of the query string the same way than a match_query/multi_match_query.
It also adds a type parameter that can be used to change the way multi fields query are built the same way than a multi_match query does.
Now that these queries share the same behavior regarding text analysis, some parameters are obsolete and have been deprecated:
split_on_whitespace: This setting is now ignored with a deprecation notice
if it is used explicitely. With this PR The query_string always splits on logical operator.
It simplifies the understanding of the other parameters that can have different meanings
depending on the value of split_on_whitespace.
auto_generate_phrase_queries: This setting is now ignored with a deprecation notice
if it is used explicitely. This setting only makes sense when the parser splits on whitespace.
use_dismax: This setting is now ignored with a deprecation notice
if it is used explicitely. The tie_breaker parameter is sufficient to handle best_fields/most_fields.
Fixes#25574
The following token filters were moved: stemmer, stemmer_override, kstem, dictionary_decompounder, hyphenation_decompounder, reverse, elision and truncate.
Relates to #23658
* [Analysis] Parse synonyms with the same analysis chain
Synonym Token Filter / Synonym Graph Filter tokenize synonyms with whatever tokenizer and token filters appear before it in the chain.
Close#7199
Moves the keyword tokenizer to the analysis-common module. The keyword tokenizer is special because it is used by CustomNormalizerProvider so I pulled it out into its own PR. To get the move to work I've reworked the lookup from static to one using the AnalysisRegistry. This seems safe enough.
Part of #23658.
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 change removes the `postings` highlighter. This highlighter has been removed from Lucene master (7.x) because it behaves
exactly like the `unified` highlighter when index_options is set to `offsets`:
https://issues.apache.org/jira/browse/LUCENE-7815
It also makes the `unified` highlighter the default choice for highlighting a field (if `type` is not provided).
The strategy used internally by this highlighter remain the same as before, it checks `term_vectors` first, then `postings` and ultimately it re-analyzes the text.
Ultimately it rewrites the docs so that the options that the `unified` highlighter cannot handle are clearly marked as such.
There are few features that the `unified` highlighter is not able to handle which is why the other highlighters (`plain` and `fvh`) are still available.
I'll open separate issues for these features and we'll deprecate the `fvh` and `plain` highlighters when full support for these features have been added to the `unified`.
Allows plugins to register pre-configured tokenizers. Much
of the decisions are the same as those in #24223, #24572,
and #24223. This only migrates the lowercase tokenizer but
I figure that is a good start because it proves out the features.
We've switched to supporting only `yml` files but anyone who didn't
notice will commit a `yaml` file which won't be executed
which is bad because it is easy not to notice. The test to catch this is
simple enough that I think it is worth adding just to warn folks about
their mistake.
These tests are broken because I added them with the `yml` extension
and didn't realize that we weren't running tests with that extension
until we merged #24659. I used that extension in anticipation of #24659
but didn't verify that the tests were actually running. Ooops!
Closes#24734
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.
Moves the remaining preconfigured token figured into the analysis-common module. There were a couple of tests in core that depended on the pre-configured token filters so I had to touch them:
* `GetTermVectorsCheckDocFreqIT` depended on `type_as_payload` but didn't do anything important with it. I dropped the dependency. Then I moved the test to a single node test case because we're trying to cut down on the number of `ESIntegTestCase` subclasses.
* `AbstractTermVectorsTestCase` and its subclasses depended on `type_as_payload`. I dropped their usage of the token filter and added an integration test for the termvectors API that uses `type_as_payload` to the `analysis-common` module.
* `AnalysisModuleTests` expected a few pre-configured token filtes be registered by default. They aren't any more so I dropped this assertion. We assert that the `CommonAnalysisPlugin` registers these pre-built token filters in `CommonAnalysisFactoryTests`
* `SearchQueryIT` and `SuggestSearchIT` had tests that depended on the specific behavior of the token filters so I moved the tests to integration tests in `analysis-common`.
There are now three public static method to build instances of
PreConfiguredTokenFilter and the ctor is private. I chose static
methods instead of constructors because those allow us to change
out the implementation returned if we so desire.
Relates to #23658
This changes the way we register pre-configured token filters so that
plugins can declare them and starts to move all of the pre-configured
token filters out of core. It doesn't finish the job because doing
so would make the change unreviewably large. So this PR includes
a shim that keeps the "old" way of registering pre-configured token
filters around.
The Lowercase token filter is special because there is a "special"
interaction between it and the lowercase tokenizer. I'm not sure
exactly what to do about it so for now I'm leaving it alone with
the intent of figuring out what to do with it in a followup.
This also renames these pre-configured token filters from
"pre-built" to "pre-configured" because that seemed like a more
descriptive name.
This is a part of #23658
Another step down the road to dropping the
lucene-analyzers-common dependency from core.
Note that this removes some tests that no longer compile from
core. I played around with adding them to the analysis-common
module where they would compile but we already test these in
the tests generated from the example usage in the documentation.
I'm not super happy with the way that `requriesAnalysisSettings`
works with regards to plugins. I think it'd be fairly bug-prone
for plugin authors to use. But I'm making it visible as is for
now and I'll rethink later.
A part of #23658
Start moving built in analysis components into the new analysis-common
module. The goal of this project is:
1. Remove core's dependency on lucene-analyzers-common.jar which should
shrink the dependencies for transport client and high level rest client.
2. Prove that analysis plugins can do all the "built in" things by moving all
"built in" behavior to a plugin.
3. Force tests not to depend on any oddball analyzer behavior. If tests
need anything more than the standard analyzer they can use the mock
analyzer provided by Lucene's test infrastructure.
Alan Woodward
Martijn van Groningen
Tanguy Leroux
Itamar Syn-Hershko
Christoph Büscher
Jim Ferenczi
Adrien Grand
Christoph Büscher
kel
Mayya Sharipova
David Roberts
Simon Willnauer
Md. Abdulla-Al-Sun
Michael Basnight
Jun Ohtani
Andy Bristol
Nik Everett
Ryan Ernst