Sample code for Elasticsearch Mapping
This article mainly introduces the sample code of Elasticsearch Mapping, which is very detailed and has a certain reference value. Friends who are interested must finish it!
Elasticsearch Mapping sample PUT my_index {/ / create my_index index "mappings": {"user": {/ / create type "_ all": {"enabled": false}, / / Disable the _ all meta field for the user mapping type "properties": {"title": {"type": "string"} "name": {"type": "string"}, "age": {"type": "integer"}}, "blogpost": {"properties": {"title": {"type": "string"}, "body": {"type": "string"} "user_id": {"type": "string", "index": "not_analyzed"}, "created": {"type": "date", "format": "strict_date_optional_time | | epoch_millis"}
Type: the data type of the field, such as string and date
A simple type like string, date, long, double, boolean or ip.
A type which supports the hierarchical nature of JSON such as object or nested.
Or a specialised type like geo_point, geo_shape, or completion.
Index: whether the field should be searched as full text (analyzed), or as an exact value (not_analyzed), or not searchable at all (no)
Analyzer: determines which parser is used in full-text fields when indexing and or searching.
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