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Elasticsearch mapping parameter fieldsfields

It is often useful to index the same fields in different ways for different purposes. This is also the purpose of multi-fields. For example, a string field can be mapped as a text field for full-text search, or as a keyword field for sorting or aggregation.

PUT my_index {"mappings": {"_ doc": {"properties": {"city": {"type": "text", "fields": {"raw": {"type": "keyword"}

The note:city.raw field is the keyword version of the city field.

GET my_index/_search {"query": {"city": "york"}}, "sort": {"city.raw": "asc"}, "aggs": {"Cities": {"terms": {"field": "city.raw"}

The note:city field is used for full-text search.

Note:city.raw is used for sorting and aggregation.

Multiple fields cannot modify the original _ source field.

The fields setting allows different settings for fields with the same name in the same index. You can use the PUT mapping API to add new multiple fields to existing fields.

Multiple fields with multiple parses

Another application scenario for multi-fields is to use different methods to analyze the same fields in order to obtain better correlation.

PUT my_index {"mappings": {"_ doc": {"properties": {"text": {"type": "text", "fields": {"english": {"type": "text" Analyzer: "english"}

The note:text.field field uses the english parser.

Elasticsearch annotations achieve fieldsmapping effects: "label": {"type": "keyword", "fields": {"IKS": {"type": "text" "analyzer": "ikIndexAnalyzer"} @ Column (name = "tag") @ MultiField (mainField = @ Field (type = FieldType.Keyword), otherFields = {@ InnerField (suffix = "IKS", type = FieldType.Text, analyzer = "ikIndexAnalyzer") protected String label The above is the content of this article on "fields instance Analysis of Elasticsearch Mapping parameters". I believe we all have a certain understanding. I hope the content shared by the editor will be helpful to you. If you want to know more about the relevant knowledge, please follow the industry information channel.

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