- Elasticsearch Guide: other versions:
- Setup
- API Conventions
- Document APIs
- Search APIs
- Indices APIs
- Create Index
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- Indices Exists
- Open / Close Index API
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
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- Index Aliases
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- Analyze
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- Status
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- Gateway Snapshot
- Cluster APIs
- Query DSL
- Queries
- Match Query
- Multi Match Query
- Bool Query
- Boosting Query
- Common Terms Query
- Custom Filters Score Query
- Custom Score Query
- Custom Boost Factor Query
- Constant Score Query
- Dis Max Query
- Field Query
- Filtered Query
- Fuzzy Like This Query
- Fuzzy Like This Field Query
- Function Score Query
- Fuzzy Query
- GeoShape Query
- Has Child Query
- Has Parent Query
- Ids Query
- Indices Query
- Match All Query
- More Like This Query
- More Like This Field Query
- Nested Query
- Prefix Query
- Query String Query
- Simple Query String Query
- Range Query
- Regexp Query
- Span First Query
- Span Multi Term Query
- Span Near Query
- Span Not Query
- Span Or Query
- Span Term Query
- Term Query
- Terms Query
- Top Children Query
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- Text Query
- Minimum Should Match
- Multi Term Query Rewrite
- Filters
- And Filter
- Bool Filter
- Exists Filter
- Geo Bounding Box Filter
- Geo Distance Filter
- Geo Distance Range Filter
- Geo Polygon Filter
- GeoShape Filter
- Geohash Cell Filter
- Has Child Filter
- Has Parent Filter
- Ids Filter
- Indices Filter
- Limit Filter
- Match All Filter
- Missing Filter
- Nested Filter
- Not Filter
- Numeric Range Filter
- Or Filter
- Prefix Filter
- Query Filter
- Range Filter
- Regexp Filter
- Script Filter
- Term Filter
- Terms Filter
- Type Filter
- Queries
- Mapping
- Analysis
- Analyzers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Compound Word Token Filter
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- Keep Words Token Filter
- Delimited Payload Token Filter
- Character Filters
- ICU Analysis Plugin
- Modules
- Index Modules
- Glossary of terms
WARNING: Version 0.90 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Analyzers
editAnalyzers
editAnalyzers are composed of a single Tokenizer
and zero or more TokenFilters. The tokenizer may
be preceded by one or more CharFilters.
The analysis module allows you to register Analyzers
under logical
names which can then be referenced either in mapping definitions or in
certain APIs.
Elasticsearch comes with a number of prebuilt analyzers which are ready to use. Alternatively, you can combine the built in character filters, tokenizers and token filters to create custom analyzers.
Default Analyzers
editAn analyzer is registered under a logical name. It can then be referenced from mapping definitions or certain APIs. When none are defined, defaults are used. There is an option to define which analyzers will be used by default when none can be derived.
The default
logical name allows one to configure an analyzer that will
be used both for indexing and for searching APIs. The default_index
logical name can be used to configure a default analyzer that will be
used just when indexing, and the default_search
can be used to
configure a default analyzer that will be used just when searching.
Aliasing Analyzers
editAnalyzers can be aliased to have several registered lookup names
associated with them. For example, the following will allow
the standard
analyzer to also be referenced with alias1
and alias2
values.
index : analysis : analyzer : standard : alias: [alias1, alias2] type : standard stopwords : [test1, test2, test3]
Below is a list of the built in analyzers.
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