Fields (field) data type

Basic Type 1. String

String types are divided into two cases: Full-text and keywords.

Full-text indicates that the field content is parsed, and keywords indicates that the field value can only be queried as an exact value.

Parameters:

analyzer,,,,,,,,,,,,,,,, boost doc_values fielddata fields ignore_above include_in_all index index_options norms null_value position_increment_gap store search_analyzer search_quote_analyzer similarityterm_vector

2. Values

Numeric types include: Long, Integer, short, Byte, double, float.

Parameters:

coerce,,,,,,,, boost doc_values ignore_malformed include_in_all index null_value precision_stepstore

3. Date

The JSON itself does not have a date data type, and the date type in ES can be:

• Similar to "2015-01-01" or"2015/01/01 12:10:30" 的字符串
• long 类型的毫秒级别的时间戳
• int 类型的秒级别的时间戳

日期类型默认会被转换为 UTC 并且转换为毫秒级别的时间戳的 long 类型存储。

日期类型如果不指定 format ，将会以默认格式表示。

参数：

boost、doc_values、format、ignore_malformed、include_in_all、index、null_value、precision_step、store

4. Boolean

Boolean false:,,,,, false "false" "off" "no" "0" "" (empty string), 0 ,0.0 。

布尔真：    任何不为假的值。

像 terms aggregation 聚合，是使用 1 和 0 来作为 key 的，key_as_string 则是用字符串 true 和 false

布尔类型的值，在 scripts 中则始终返回 1 或 0

参数：

boost、doc_values、index、null_value、store

5. Binary

Binary types receive a binary value in BASE64 encoding, and binary type fields are not stored by default and are not searchable.

Parameters: doc_values ,store

Complex Type 1. Array

Array type, which requires the data type of the array element to be identical.

• Array of strings: [ "one" , "two" ]
• Array of numbers: [ 1 , 2 ]
• Array of arrays: [ 1 , [ 2 ,]] 3 which is the equivalent of [ 1 , 2 , 3 ]
• Object array: [ { "name": "Mary", "age": 12 } , { "name": "John", "age": 10 } ] Note: Object elements in an object array cannot be queried

The data type of the array element will be determined by the data type of its first element.

An array of objects that will be converted to a multi-valued flat data type within ES.

For example:

PUT my_index/my_type/1{  "Group":"fans",  "User" : [     {      " First":"John",      " Last":"Smith"    },    {      " First":"Alice",      " Last":" White"    }  ]}

Switch to:

{  "Group":"fans",  "User.first": ["Alice","John" ],  "User.last":  ["Smith"," White" ]}

2. Objects

The object type is internally indexed as a simple, flattened key-value pair type.

For example:

PUT my_index/my_type/1{   " Region":"US",  "Manager": {     " Age": -,    "name": {       " First":"John",      " Last":"Smith"    }  }}

Convert to:

{  " Region":"US",  "Manager.age": -,  "Manager.name.first":"John",  "Manager.name.last":"Smith"}

Parameters:

dynamic, enabled , include_in_all ,properties

3. Nesting

A nested type is a special type of object that allows each element (object) of an array of objects to be queried independently of each other.

A document of a nested type can:

• Querying with nested queries
• Used nested to analyze and reverse_nested to aggregate
• Sort by nested sorting.
• Use nested inner hits to retrieve or highlight

Parameters:

dynamic, include_in_all ,properties

Location Type 1. Coordinate type 2. Geographic shape type proprietary type 1. IPV4 type

The IPV4 data type is essentially a long type, but it can receive a IPV4 address and convert it to a long type store.

Parameters:

boost,,,,, doc_values include_in_all index null_value precision_step ,store

2. Completion type (completion datatype) 3. Token Count 4. Mapper-murmur3

Fields (field) data type