#### 自定义_all字段
在[元数据:_all字段](../070_Index_Mgmt/32_Metadata_all.md)中,我们解释了特殊的_all字段会将其它所有字段中的值作为一个大字符串进行索引。尽管将所有字段的值作为一个字段进行索引并不是非常灵活。如果有一个自定义的_all字段用来索引人名,另外一个自定义的_all字段用来索引地址就更好了。
ES通过字段映射中的copy_to参数向我们提供了这一功能:
```Javascript
PUT /my_index
{
"mappings": {
"person": {
"properties": {
"first_name": {
"type": "string",
"copy_to": "full_name" <1>
},
"last_name": {
"type": "string",
"copy_to": "full_name" <1>
},
"full_name": {
"type": "string"
}
}
}
}
}
```
// SENSE: 110_Multi_Field_Search/45_Custom_all.json
<1> first_name和last_name字段中的值会被拷贝到full_name字段中。
有了这个映射,我们可以通过first_name字段查询名字,last_name字段查询姓氏,或者full_name字段查询姓氏和名字。
> 提示:first_name和last_name字段的映射和full_name字段的索引方式的无关。full_name字段会从其它两个字段中拷贝字符串的值,然后仅根据full_name字段自身的映射进行索引。
<!--
[[custom-all]]
=== Custom _all Fields
In <<all-field>>, we explained that the special `_all` field indexes the values
from all other fields as one big string.((("_all field", sortas="all field")))((("multifield search", "custom _all fields"))) Having all fields indexed into one
field is not terribly flexible, though. It would be nice to have one custom
`_all` field for the person's name, and another custom `_all` field for the
address.
Elasticsearch provides us with this functionality via the `copy_to` parameter
in a field ((("copy_to parameter")))((("mapping (types)", "copy_to parameter")))mapping:
[source,js]
--------------------------------------------------
PUT /my_index
{
"mappings": {
"person": {
"properties": {
"first_name": {
"type": "string",
"copy_to": "full_name" <1>
},
"last_name": {
"type": "string",
"copy_to": "full_name" <1>
},
"full_name": {
"type": "string"
}
}
}
}
}
--------------------------------------------------
// SENSE: 110_Multi_Field_Search/45_Custom_all.json
<1> The values in the `first_name` and `last_name` fields
are also copied to the `full_name` field.
With this mapping in place, we can query the `first_name` field for first
names, the `last_name` field for last name, or the `full_name` field for first
and last names.
NOTE: Mappings of the `first_name` and `last_name` fields have no bearing
on how the `full_name` field is indexed. The `full_name` field copies the
string values from the other two fields, then indexes them according to the
mapping of the `full_name` field only.
-->
- Introduction
- 入门
- 是什么
- 安装
- API
- 文档
- 索引
- 搜索
- 聚合
- 小结
- 分布式
- 结语
- 分布式集群
- 空集群
- 集群健康
- 添加索引
- 故障转移
- 横向扩展
- 更多扩展
- 应对故障
- 数据
- 文档
- 索引
- 获取
- 存在
- 更新
- 创建
- 删除
- 版本控制
- 局部更新
- Mget
- 批量
- 结语
- 分布式增删改查
- 路由
- 分片交互
- 新建、索引和删除
- 检索
- 局部更新
- 批量请求
- 批量格式
- 搜索
- 空搜索
- 多索引和多类型
- 分页
- 查询字符串
- 映射和分析
- 数据类型差异
- 确切值对决全文
- 倒排索引
- 分析
- 映射
- 复合类型
- 结构化查询
- 请求体查询
- 结构化查询
- 查询与过滤
- 重要的查询子句
- 过滤查询
- 验证查询
- 结语
- 排序
- 排序
- 字符串排序
- 相关性
- 字段数据
- 分布式搜索
- 查询阶段
- 取回阶段
- 搜索选项
- 扫描和滚屏
- 索引管理
- 创建删除
- 设置
- 配置分析器
- 自定义分析器
- 映射
- 根对象
- 元数据中的source字段
- 元数据中的all字段
- 元数据中的ID字段
- 动态映射
- 自定义动态映射
- 默认映射
- 重建索引
- 别名
- 深入分片
- 使文本可以被搜索
- 动态索引
- 近实时搜索
- 持久化变更
- 合并段
- 结构化搜索
- 查询准确值
- 组合过滤
- 查询多个准确值
- 包含,而不是相等
- 范围
- 处理 Null 值
- 缓存
- 过滤顺序
- 全文搜索
- 匹配查询
- 多词查询
- 组合查询
- 布尔匹配
- 增加子句
- 控制分析
- 关联失效
- 多字段搜索
- 多重查询字符串
- 单一查询字符串
- 最佳字段
- 最佳字段查询调优
- 多重匹配查询
- 最多字段查询
- 跨字段对象查询
- 以字段为中心查询
- 全字段查询
- 跨字段查询
- 精确查询
- 模糊匹配
- Phrase matching
- Slop
- Multi value fields
- Scoring
- Relevance
- Performance
- Shingles
- Partial_Matching
- Postcodes
- Prefix query
- Wildcard Regexp
- Match phrase prefix
- Index time
- Ngram intro
- Search as you type
- Compound words
- Relevance
- Scoring theory
- Practical scoring
- Query time boosting
- Query scoring
- Not quite not
- Ignoring TFIDF
- Function score query
- Popularity
- Boosting filtered subsets
- Random scoring
- Decay functions
- Pluggable similarities
- Conclusion
- Language intro
- Intro
- Using
- Configuring
- Language pitfalls
- One language per doc
- One language per field
- Mixed language fields
- Conclusion
- Identifying words
- Intro
- Standard analyzer
- Standard tokenizer
- ICU plugin
- ICU tokenizer
- Tidying text
- Token normalization
- Intro
- Lowercasing
- Removing diacritics
- Unicode world
- Case folding
- Character folding
- Sorting and collations
- Stemming
- Intro
- Algorithmic stemmers
- Dictionary stemmers
- Hunspell stemmer
- Choosing a stemmer
- Controlling stemming
- Stemming in situ
- Stopwords
- Intro
- Using stopwords
- Stopwords and performance
- Divide and conquer
- Phrase queries
- Common grams
- Relevance
- Synonyms
- Intro
- Using synonyms
- Synonym formats
- Expand contract
- Analysis chain
- Multi word synonyms
- Symbol synonyms
- Fuzzy matching
- Intro
- Fuzziness
- Fuzzy query
- Fuzzy match query
- Scoring fuzziness
- Phonetic matching
- Aggregations
- overview
- circuit breaker fd settings
- filtering
- facets
- docvalues
- eager
- breadth vs depth
- Conclusion
- concepts buckets
- basic example
- add metric
- nested bucket
- extra metrics
- bucket metric list
- histogram
- date histogram
- scope
- filtering
- sorting ordering
- approx intro
- cardinality
- percentiles
- sigterms intro
- sigterms
- fielddata
- analyzed vs not
- 地理坐标点
- 地理坐标点
- 通过地理坐标点过滤
- 地理坐标盒模型过滤器
- 地理距离过滤器
- 缓存地理位置过滤器
- 减少内存占用
- 按距离排序
- Geohashe
- Geohashe
- Geohashe映射
- Geohash单元过滤器
- 地理位置聚合
- 地理位置聚合
- 按距离聚合
- Geohash单元聚合器
- 范围(边界)聚合器
- 地理形状
- 地理形状
- 映射地理形状
- 索引地理形状
- 查询地理形状
- 在查询中使用已索引的形状
- 地理形状的过滤与缓存
- 关系
- 关系
- 应用级别的Join操作
- 扁平化你的数据
- Top hits
- Concurrency
- Concurrency solutions
- 嵌套
- 嵌套对象
- 嵌套映射
- 嵌套查询
- 嵌套排序
- 嵌套集合
- Parent Child
- Parent child
- Indexing parent child
- Has child
- Has parent
- Children agg
- Grandparents
- Practical considerations
- Scaling
- Shard
- Overallocation
- Kagillion shards
- Capacity planning
- Replica shards
- Multiple indices
- Index per timeframe
- Index templates
- Retiring data
- Index per user
- Shared index
- Faking it
- One big user
- Scale is not infinite
- Cluster Admin
- Marvel
- Health
- Node stats
- Other stats
- Deployment
- hardware
- other
- config
- dont touch
- heap
- file descriptors
- conclusion
- cluster settings
- Post Deployment
- dynamic settings
- logging
- indexing perf
- rolling restart
- backup
- restore
- conclusion