标准的restful接口

查

查看所有index, 等价于show tables;

GET _cat/indices

GET test_index

GET kibana_sample_data_logs?include_type_name=true&include_defaults=true

• aliases
• mappings
• settings

删

DELETE test_index

DELETE test_index?ignore_unavailable=true ==> drop table xx if exists

增

改 reindex

mapping

POST kibana_sample_data_ecommerce2/_mapping {

}

settings

PUT kibana_sample_data_ecommerce2/_settings {

}

直接 ==> 插入数据，

让他动态索引（dynamic mapping）得到mapping，在此基础上更改。

字段类型

Field data types

Elasticsearch supports a number of different data types for the fields in a document:

Core data types

• string

  text, keyword and wildcard

• 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

Complex data types

• Object

  object for single JSON objects

• Nested

  nested for arrays of JSON objects

Spatial data types

• Geo-point

  geo_point for lat/lon points

• Geo-shape

  geo_shape for complex shapes like polygons

• Point

  point for arbitrary cartesian points.

• Shape

  shape for arbitrary cartesian geometries.

Specialised data types

• 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.

• 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.

Arrays

In Elasticsearch, arrays do not require a dedicated field data type. Any field can contain zero or more values by default, however, all values in the array must be of the same data type. See Arrays.

Multi-fields

It is often useful to index the same field in different ways for different purposes. For instance, a string field could be mapped as a text field for full-text search, and as a keyword field for sorting or aggregations. Alternatively, you could index a text field with the standard analyzer, the english analyzer, and the french analyzer.

This is the purpose of multi-fields. Most data types support multi-fields via the fieldsparameter.

“dynamic” : “true” | “false” | “strict”

“copy_to”

数组

多字段特性

简单提下， 下下次专门讲这块

Analysis | Built-in analyzer

char filter

Tokenizer [必须有一个]

token filter

下一篇

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