【Elasticsearch】Mapping APIs

最新推荐文章于 2025-08-22 11:49:22 发布

转载最新推荐文章于 2025-08-22 11:49:22 发布 · 66 阅读

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原文链接：https://my.oschina.net/u/204498/blog/656726

文章标签：

#大数据 #python #json

本文详细介绍了Elasticsearch中的字段数据类型及元字段的功能，并解释了如何使用多字段映射来针对不同目的对同一字段进行多种方式的索引，例如全文搜索和排序。

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https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping.html

一、Field datatypes：

二、Meta-Fields：


_index	The index to which the document belongs
_uid	A composite field consisting of the _type and the _id
_type	The document's mapping type
_id	The document's id

_source	The original JSON representing the body of the document
_size	The size of the _source field in bytes,provided by the mapper-size plugin

_all	A catch-all field that indexes the values of all other fields
_field_names
_timestamp
_ttl

_parent	Used to create a parent-child relationship between two mapping types
_routing	A custom routing value which routes a document to a particular shard

_meta	Applicationg specific metadata

三、Mapping parameters

fields:

It is often useful to Index the same filed in different ways for different purposes.This is the purpose of multi-fileds.For instance,a string field could be indexed as an analyzed field for full-text search, and as a not_analyzed field for sorting or aggregations

curl -XPUT 'http://localhost:9200/my_index/_mapping/my_type' -d '{
  "properties": {
    "city": {
      "type": "string",
      "fields": {
        "raw": {                    =>city.raw field is a not_analyzed version of city field
          "type": "string",
          "index": "not_analyzed"
        }
      }
    }
  }
}'

curl -XPUT 'http://localhost:9200/my_index//my_type/1' -d '{
    "city":"New York"
}'

curl -XPUT 'http://localhost:9200/my_index//my_type/2' -d '{
    "city":"York"
}'

curl -XGET 'http://10.224.246.146:9200/my_index/my_type/_search'

转载于:https://my.oschina.net/u/204498/blog/656726