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I want to treat the field of one of the indexed items as one big string even though it might have whitespace. I know how to do this by setting a non-custom field to be 'not-analyzed', but what tokenizer can you use via a custom analyzer?
The only tokenizer items I see on elasticsearch.org are:
None of these do what I want.
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Elasticsearch analyzers and normalizers are used to convert text into tokens that can be searched. Analyzers use a tokenizer to produce one or more tokens per text field. Normalizers use only character filters and token filters to produce a single token.
By default, Elasticsearch uses the standard analyzer for all text analysis. The standard analyzer gives you out-of-the-box support for most natural languages and use cases. If you chose to use the standard analyzer as-is, no further configuration is needed.
The whitespace tokenizer breaks text into terms whenever it encounters a whitespace character.
The Keyword tokenizer is what you are looking for.
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