IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
Built-in analyzer reference
editBuilt-in analyzer reference
editElasticsearch ships with a wide range of built-in analyzers, which can be used in any index without further configuration:
- Standard Analyzer
-
The
standardanalyzer divides text into terms on word boundaries, as defined by the Unicode Text Segmentation algorithm. It removes most punctuation, lowercases terms, and supports removing stop words. - Simple Analyzer
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The
simpleanalyzer divides text into terms whenever it encounters a character which is not a letter. It lowercases all terms. - Whitespace Analyzer
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The
whitespaceanalyzer divides text into terms whenever it encounters any whitespace character. It does not lowercase terms. - Stop Analyzer
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The
stopanalyzer is like thesimpleanalyzer, but also supports removal of stop words. - Keyword Analyzer
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The
keywordanalyzer is a “noop” analyzer that accepts whatever text it is given and outputs the exact same text as a single term. - Pattern Analyzer
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The
patternanalyzer uses a regular expression to split the text into terms. It supports lower-casing and stop words. - Language Analyzers
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Elasticsearch provides many language-specific analyzers like
englishorfrench. - Fingerprint Analyzer
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The
fingerprintanalyzer is a specialist analyzer which creates a fingerprint which can be used for duplicate detection.
Custom analyzers
editIf you do not find an analyzer suitable for your needs, you can create a
custom analyzer which combines the appropriate
character filters,
tokenizer, and token filters.