知识为进步之母,而进步又为富强之源泉。这篇文章主要讲述elasticsearch入门使用 Mapping + field type字段类型相关的知识，希望能为你提供帮助。
Elasticsearch Reference [6.2] ? Mapping
参考官方英文文档 https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping.html
Mapping 是定义文档及其包含的字段如何存储和编制索引的过程，每个索引都有一个映射类型，用于确定文档将如何编制索引。
Meta-fields
包括文档的_index，_type，_id和_source字段
es字段数据类型：
https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-types.html
- 字符串类型
text 、 keyword
- 数值类型
long, integer, short, byte, double, float, half_float, scaled_float
- 日期类型
date
- 布尔值类型
boolean
- 二进制类型
binary
- 范围类型
integer_range, float_range, long_range, double_range, date_range
- Array数据类型(Array不需要定义特殊类型)
[ "
one"
, "
two"
]
[ 1, 2 ]
[{ "
name"
: "
Mary"
, "
age"
: 12 },{ "
name"
: "
John"
, "
age"
: 10}]
- Object数据类型 （json嵌套）
{
"
region"
: "
US"
,
"
manager"
: {
"
age"
:30,
"
name"
: {
"
first"
: "
John"
,
"
last"
:"
Smith"
}
}
}
- 地理数据类型
Geo-point，Geo-Shape(比较复杂，参考官网文档，一般用Geo-point就可以了)
- 特殊数据类型
ip(IPv4 and IPv6 addresses)
completion(自动完成/搜索)
token_count (数值类型，分析字符串，索引的数量)
murmur3 (索引时计算字段值的散列并将它们存储在索引中的功能。 在高基数和大字符串字段上运行基数聚合时有很大帮助)
join (同一索引的文档中创建父/子关系)
以下是常用的参数类型定义&
赋值demo
| text |
"
name"
:{"
type"
:"
text"
} |
"
name"
: "
zhangsan"
|
| keyword |
"
tags"
:{"
type"
:"
keyword"
} |
"
tags"
: "
abc"
|
| date |
"
date"
:{"
type"
: "
date"
} |
"
date"
:"
2015-01-01T12:10:30Z"
|
| long |
"
age"
:{"
type"
:"
long"
} |
"
age"
:28 |
| double |
"
score"
:{"
type"
:"
double"
} |
"
score"
:98.8 |
| boolean |
"
isgirl"
: { "
type"
: "
boolean"
} |
"
isgirl"
:true |
| ip |
"
ip_addr"
:{"
type"
:"
ip"
} |
"
ip_addr"
: "
192.168.1.1"
|
| geo_point |
"
location"
: {"
type"
:"
geo_point"
} |
"
location"
:{"
lat"
:40.12,"
lon"
:-71.34} |
Mapping parameters
【elasticsearch入门使用 Mapping + field type字段类型】https://www.elastic.co/guide/en/elasticsearch/reference/6.2/mapping-params.html
| analyzer |
|
| normalizer |
|
| boost |
|
| coerce |
|
| copy_to |
|
| doc_values |
|
| dynamic |
|
| enabled |
|
| fielddata |
|
| eager_global_ordinals |
|
| format |
|
| ignore_above |
|
| ignore_malformed |
|
| index_options |
|
| index |
|
| fields |
|
| norms |
|
| null_value |
|
| position_increment_gap |
|
| properties |
|
| search_analyzer |
|
| similarity |
|
| store |
|
| term_vector |
|
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