Field datatypes

string,long, integer, short, byte, double, float,date,boolean,binary,Array,object
nestedfor arrays of JSON objects
geo_pointfor lat/lon points
geo_shapefor complex shapes like polygons
ipfor IPv4 addresses
completionto provide auto-complete suggestions
token_countto count the number of tokens in a string
murmur3to compute hashes of values at index-time and store them in the index

See the mapper-attachments plugin which supports indexing attachments like Microsoft Office formats, Open Document formats, ePub, HTML, etc. into an attachment datatype.


option desp
no 该字段将不会被添加到索引中,该字段将不能被查询.
not_analyzed 将该字段的内容作为单个term添加到索引中,可以被作为单个trem进行搜索.(当字段设置为not_analyzed时,它会将其视为一个单一term, 底层Lucene索引中单个term的最大大小为32766字节,超出这个大小将报以下异常:message [java.lang.IllegalArgumentException: Document contains at least one immense term in field="***" (whose UTF8 encoding is longer than the max length 32766), all of which were skipped. Please correct the analyzer to not produce such terms.)
analyzed 此选项仅适用于字符串字段,因为它是默认字符串字段。 首先分析字符串字段值以将字符串转换为术语(例如,单个字的列表),然后索引。 在搜索时,查询字符串通过(通常)相同的分析器以生成与索引中相同格式的项。 正是这个过程启用全文搜索。


yyyy-MM-dd HH:mm:ss


默认情况下,字段值被编入索引以使其可搜索,但不会存储它们。 这意味着可以查询字段,但无法检索原始字段值。

通常这没关系。 字段值已经是_source字段的一部分,默认情况下存储它。 如果只想检索单个字段或几个字段的值,而不是整个_source,则可以使用源过滤来实现。

在某些情况下,存储字段可能有意义。 例如,如果您有一个包含标题,日期和非常大的内容字段的文档,您可能只需检索标题和日期,而无需从大型_source字段提取这些字段:

PUT /my_index
  "mappings": {
    "my_type": {
      "properties": {
        "title": {
          "type": "string",
          "store": true 
        "date": {
          "type": "date",
          "store": true 
        "content": {
          "type": "string"

PUT /my_index/my_type/1
  "title":   "Some short title",
  "date":    "2015-01-01",
  "content": "A very long content field..."

GET my_index/_search
  "fields": [ "title", "date" ] 


option desp
no 不存储任何词向量 (default)
yes Just the terms in the field are stored.
with_positions Terms and positions are stored.
with_offsets Terms and character offsets are stored.
with_positions_offsets Terms, positions, and character offsets are stored.