Elasticsearch 中常用的数据类型

核心数据类型

• string

  text and keyword

• Numeric

  long, integer, short, byte, double, float, half_float, scaled_float

• Date

  date

• Date nanoseconds

  date_nanos

• Boolean

  boolean

• binary

  binary

• range

  integer_range, float_range, long_range, double_range, date_range, ip_range

复杂数据类型

• Object

  object for single JSON objects

• Nested

  nested for arrays of JSON objects

地图数据类型

• Geo-point

  geo_point for lat/lon points（纬度/经度）

• Geo-shape

  geo_shape for complex shapes like polygons（适用于多边形等复杂形状）

专用的数据类型

• IP

  ip for IPv4 and IPv6 addresses

• Completion data type

  completion to provide auto-complete suggestions

• Token count

  token_count to count the number of tokens in a string

• mapper-murmur3

  murmur3 to compute hashes of values at index-time and store them in the index

• mapper-annotated-text

  annotated-text to index text containing special markup (typically used for identifying named entities)

• Percolator

  Accepts queries from the query-dsl

• Join

  Defines parent/child relation for documents within the same index

• Rank feature

  Record numeric feature to boost hits at query time.

• Rank features

  Record numeric features to boost hits at query time.

• Dense vector

  Record dense vectors of float values.

• Sparse vector

  Record sparse vectors of float values.

• Search-as-you-type

  A text-like field optimized for queries to implement as-you-type completion

• Alias

  Defines an alias to an existing field.

• Flattened

  Allows an entire JSON object to be indexed as a single field.

• Shape

  shape for arbitrary cartesian geometries.

• Histogram

  histogram for pre-aggregated numerical values for percentiles aggregations.

• Constant keyword

  Specialization of keyword for the case when all documents have the same value.