# Nested
# 嵌套數據類型
`nested?`類型是一種對象類型的特殊版本,它允許索引對象數組,獨立地索引每個對象。
## 如何使對象數組變扁平
內部類對象數組并不以你預料的方式工作。Lucene沒有內部對象的概念,所以Elasticsearch將對象層次扁平化,轉化成字段名字和值構成的簡單列表。比如,以下的文檔:
|
`curl -XPUT?``'localhost:9200/my_index/my_type/1?pretty'`?`-d'`
`{`
`"group"`?`:?``"fans"``,`
`"user"`?`: [????``// 1`
`{`
`"first"`?`:?``"John"``,`
`"last"`?`:??``"Smith"`
`},`
`{`
`"first"`?`:?``"Alice"``,`
`"last"`?`:??``"White"`
`}`
`]`
`}'`
|
`user?`字段作為對象動態添加
在內部被轉化成如下格式的文檔:
|
`{`
`"group"`?`:????????``"fans"``,`
`"user.first"`?`: [?``"alice"``,?``"john"`?`],`
`"user.last"`?`:? [?``"smith"``,?``"white"`?`]`
`}`
|
`user.first?`和?`user.last?`扁平化為多值字段,`alice?`和?`white?`的關聯關系丟失了。導致這個文檔錯誤地匹配對?`alice?`和?`smith?`的查詢:
|
`curl -XGET?``'localhost:9200/my_index/_search?pretty'`?`-d'`
`{`
`"query"``: {`
`"bool"``: {`
`"must"``: [`
`{?``"match"``: {?``"user.first"``:?``"Alice"`?`}},`
`{?``"match"``: {?``"user.last"``:??``"Smith"`?`}}`
`]`
`}`
`}`
`}'`
|
## 使用`nested`字段對應`object`數組
如果你需要索引對象數組,并且保持數組中每個對象的獨立性,你應該使用`nested`對象類型而不是`object`類型。`nested`對象將數組中每個對象作為獨立隱藏文檔來索引,這意味著每個嵌套對象都可以獨立被搜索:
|
`curl -XPUT?``'localhost:9200/my_index?pretty'`?`-d'`
`{`
`"mappings"``: {`
`"my_type"``: {`
`"properties"``: {`
`"user"``: {`
`"type"``:?``"nested"`??`// 1`
`}`
`}`
`}`
`}`
`}'`
`curl -XPUT?``'localhost:9200/my_index/my_type/1?pretty'`?`-d'`
`{`
`"group"`?`:?``"fans"``,`
`"user"`?`: [`
`{`
`"first"`?`:?``"John"``,`
`"last"`?`:??``"Smith"`
`},`
`{`
`"first"`?`:?``"Alice"``,`
`"last"`?`:??``"White"`
`}`
`]`
`}'`
`curl -XGET?``'localhost:9200/my_index/_search?pretty'`?`-d'`
`{`
`"query"``: {`
`"nested"``: {`
`"path"``:?``"user"``,`
`"query"``: {`
`"bool"``: {`
`"must"``: [`
`{?``"match"``: {?``"user.first"``:?``"Alice"`?`}},`
`{?``"match"``: {?``"user.last"``:??``"Smith"`?`}}???``// 2`
`]`
`}`
`}`
`}`
`}`
`}'`
`curl -XGET?``'localhost:9200/my_index/_search?pretty'`?`-d'`
`{`
`"query"``: {`
`"nested"``: {`
`"path"``:?``"user"``,`
`"query"``: {`
`"bool"``: {`
`"must"``: [`
`{?``"match"``: {?``"user.first"``:?``"Alice"`?`}},`
`{?``"match"``: {?``"user.last"``:??``"White"`?`}}???``// 3`
`]`
`}`
`},`
`"inner_hits"``: {???``// 4`
`"highlight"``: {`
`"fields"``: {`
`"user.first"``: {}`
`}`
`}`
`}`
`}`
`}`
`}'`
|
| 1 | `user?`字段映射為?`nested?`類型而不是?`objec t`類型 |
| 2 | 該查詢沒有匹配,因為?`Alice?`和?`Smith?`不在同一個嵌套類中 |
| 3 | 該查詢有匹配,因為?`Alice?`和?`White?`在同一個嵌套類中 |
| 4 | `inner_hits?`可以高亮匹配的嵌套文檔 |
嵌套文檔可以:
| 1 |
`使用?`[nested](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-nested-query.html "Nested Query")?``<span style="color: rgb(36, 41, 46);">查詢來搜索</span>
|
| 2 | 使用?`[nested](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-nested-aggregation.html "Nested Aggregation")?`<span style="color: rgb(36, 41, 46);">和?[`reverse_nested`](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-reverse-nested-aggregation.html "Reverse nested Aggregation")</span><span style="color: rgb(36, 41, 46);">聚合來分析</span> |
| 3 | 使用?[nested sorting](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-sort.html#nested-sorting "Sorting within nested objects.")<span style="color: rgb(36, 41, 46);">來排序</span> |
| 4 | 使用?[nested inner hits](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-inner-hits.html#nested-inner-hits "Nested inner hits")?<span style="color: rgb(36, 41, 46);">來檢索和高亮</span> |
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## `nested?`字段參數
<div class="table-wrap" style="margin: 10px 0px 0px; padding: 0px; overflow-x: auto;">
| <span style="color: rgb(36, 41, 46);">參數</span> | <span style="color: rgb(36, 41, 46);">說明</span> |
| <span style="color: rgb(36, 41, 46);">dynamic</span> | <span style="color: rgb(36, 41, 46);">新屬性是否應動態添加到現有對象。接受 true (默認), false 和 strict。</span> |
| <span style="color: rgb(36, 41, 46);">include_in_all</span> | <span style="color: rgb(36, 41, 46);">為對象中的所有屬性設置默認的?</span>`include_in_all?`<span style="color: rgb(36, 41, 46);">值,對象本身沒有添加到 _all 字段。</span> |
| <span style="color: rgb(36, 41, 46);">properties</span> | <span style="color: rgb(36, 41, 46);">對象內的字段,可以是任何數據類型,包括對象。可以將新屬性添加到現有對象。</span> |
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<div class="confluence-information-macro confluence-information-macro-information conf-macro output-block" data-hasbody="true" data-macro-name="info" style="margin: 10px 0px 1em; padding: 10px 10px 10px 36px; border: 1px solid rgb(170, 184, 198); border-radius: 5px; min-height: 20px; position: relative; background: rgb(252, 252, 252);">
注意
<span class="aui-icon aui-icon-small aui-iconfont-info confluence-information-macro-icon" style="border: none; display: block; height: 16px; margin: 0px; padding: 0px; text-indent: -999em; vertical-align: text-bottom; width: 16px; line-height: 20px; position: absolute; left: 10px; top: 12px; color: rgb(74, 103, 133); background-position: 0px 0px; background-repeat: no-repeat;"></span>
<div class="confluence-information-macro-body" style="margin: 0px; padding: 0px;">
<span style="color: rgb(106, 115, 125);">因為嵌套文檔是作為單獨的文檔被索引的,所以嵌套文檔只能被?</span>`nested?`<span style="color: rgb(106, 115, 125);">查詢、</span>`nested / reverse_nested`<span style="color: rgb(106, 115, 125);">或者?</span>`nested inner hits?`<span style="color: rgb(106, 115, 125);">訪問。 比如,一個</span>`string?`<span style="color: rgb(106, 115, 125);">字段包含嵌套文檔,嵌套文檔中?</span>`index_options?`<span style="color: rgb(106, 115, 125);">設置為?</span>`offsets?`<span style="color: rgb(106, 115, 125);">以使用 postings highlighter,這些偏移量在主要的高亮階段是不可用的。必須通過?</span>`nested inner hits?`<span style="color: rgb(106, 115, 125);">來進行高亮操作。</span>
</div>
</div>
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## 限制`nested`字段的數量
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<div class="readme blob instapaper_body" style="margin: 0px; padding: 0px;">
索引一個包含 100 個?`nested?`字段的文檔實際上就是索引 101 個文檔,每個嵌套文檔都作為一個獨立文檔來索引。為了防止過度定義嵌套字段的數量,每個索引可以定義的嵌套字段被限制在 50 個。
- 入門
- 基本概念
- 安裝
- 探索你的集群
- 集群健康
- 列出所有索引庫
- 創建一個索引庫
- 索引文檔創建與查詢
- 刪除一個索引庫
- 修改你的數據
- 更新文檔
- 刪除文檔
- 批量處理
- 探索你的數據
- 搜索API
- 查詢語言介紹
- 執行搜索
- 執行過濾
- 執行聚合
- 總結
- Elasticsearch設置
- 安裝Elasticsearch
- .zip或.tar.gz文件的安裝方式
- Install Elasticsearch with .zip on Windows
- Debian軟件包安裝方式
- RPM安裝方式
- Install Elasticsearch with Windows MSI Installer
- Docker安裝方式
- 配置Elasticsearch
- 安全配置
- 日志配置
- 重要的Elasticsearch配置
- 重要的系統配置
- 系統設置
- 在jvm.options中設置JVM堆大小
- 禁用swapping
- 文件描述符
- 虛擬內存
- 線程數
- DNS cache settings
- 啟動前檢查
- 堆大小檢查
- 文件描述符檢查
- 內存鎖定檢查
- 最大線程數檢查
- 最大虛擬內存檢查
- Max file size check
- 最大map數檢查
- JVM Client模式檢查
- 串行收集使用檢查
- 系統調用過濾檢查
- OnError與OnOutOfMemoryError檢查
- Early-access check
- G1GC檢查
- Elasticsearch停機
- Elasticsearch升級
- 滾動升級
- 全集群重啟升級
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- Set up X-Pack
- Installing X-Pack
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- Watcher Settings
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- Breaking changes in 6.0
- X-Pack Breaking Changes
- 重大變化
- 6.0的重大變化
- 聚合變化
- Cat API變化
- 客戶端變化
- 集群變化
- 文檔API變化
- 索引變化
- 預處理變化
- 映射變化
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- API約定
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- 常用選項
- URL-based訪問控制
- 文檔APIs
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- 索引接口
- Get接口
- Delete API
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- ?refresh
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- Multi Search API
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- Field Capabilities API
- Aggregations
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- 平均值聚合
- 值計數聚合(Value Count Aggregation)
- Cardinality Aggregation
- Extended Stats Aggregation
- 地理邊界聚合
- 地理重心聚合
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top hits Aggregation
- Value Count Aggregation
- Bucket Aggregations
- 鄰接矩陣聚合
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Significant Terms Aggregation
- Filter Aggregation(過濾器聚合)
- Filters Aggregation
- Geo Distance Aggregation(地理距離聚合) 轉至元數據結尾
- GeoHash grid Aggregation(GeoHash網格聚合)
- Global Aggregation(全局聚合) 轉至元數據結尾
- Histogram Aggregation
- IP Range Aggregation(IP范圍聚合)
- Missing Aggregation
- Nested Aggregation(嵌套聚合)
- Range Aggregation(范圍聚合)
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation(導數聚合)
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation(擴展信息桶聚合)
- Percentiles Bucket Aggregation(百分數桶聚合)
- Moving Average Aggregation
- Cumulative Sum Aggregation(累積匯總聚合)
- Bucket Script Aggregation(桶腳本聚合)
- Bucket Selector Aggregation(桶選擇器聚合)
- Serial Differencing Aggregation(串行差異聚合)
- Matrix Aggregations
- Matrix Stats
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Indices APIs
- Create Index /創建索引
- Delete Index /刪除索引
- Get Index /獲取索引
- Indices Exists /索引存在
- Open / Close Index API /啟動關閉索引
- Shrink Index /縮小索引
- Rollover Index/滾動索引
- Put Mapping /提交映射
- Get Mapping /獲取映射
- Get Field Mapping /獲取字段映射
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Explain Analyze
- Index Templates
- 索引統計信息
- 索引段
- 索引恢復
- 索引分片存儲
- 清理緩存
- 刷新
- 同步刷新
- 重新加載
- 強制合并
- Cat APIs
- cat aliases
- cat allocation
- cat count
- cat fielddata
- cat health
- cat indices
- cat master
- cat nodeattrs
- cat nodes
- cat pending tasks
- cat plugins
- cat recovery
- cat repositories
- cat segments
- cat shards
- cat thread pool
- cat snapshots
- cat templates
- Cluster APIs
- 集群健康
- 集群狀態
- 集群統計
- 掛起的集群任務
- 集群重新路由
- Cluster Update Settings
- Nodes Stats
- Nodes Info
- Nodes Feature Usage
- Remote Cluster Info
- Task Management API
- Nodes hot_threads
- Cluster Allocation Explain API
- Query DSL
- 查詢context與過濾context
- Match All Query
- 全文搜索
- 匹配查詢
- 短語匹配查詢
- 短語前綴匹配查詢
- 多字段查詢
- 常用術語查詢
- 查詢語句查詢
- 簡單查詢語句
- Term level queries
- Term Query
- Terms Query
- Range Query
- Exists Query
- Prefix Query
- Wildcard Query
- Regexp Query
- Fuzzy Query
- Type Query
- Ids Query
- 復合查詢
- Constant Score 查詢
- Bool 查詢
- Dis Max 查詢
- Function Score 查詢
- Boosting 查詢
- Joining queries
- Has Child Query
- Has Parent Query
- Nested Query(嵌套查詢)
- Parent Id Query
- Geo queries
- GeoShape Query(地理形狀查詢)
- Geo Bounding Box Query(地理邊框查詢)
- Geo Distance Query(地理距離查詢)
- Geo Polygon Query(地理多邊形查詢)
- Specialized queries
- More Like This Query
- Script Query
- Percolate Query
- Span queries
- Span Term 查詢
- Span Multi Term 查詢
- Span First 查詢
- Span Near 查詢
- Span Or 查詢
- Span Not 查詢
- Span Containing 查詢
- Span Within 查詢
- Span Field Masking 查詢 轉至元數據結尾
- Minimum Should Match
- Multi Term Query Rewrite
- Mapping
- Removal of mapping types
- Field datatypes
- Array
- Binary
- Range
- Boolean
- Date
- Geo-point datatype
- Geo-Shape datatype
- IP datatype
- Keyword datatype
- Nested datatype
- Numeric datatypes
- Object datatype
- Text
- Token數
- 滲濾型
- join datatype
- Meta-Fields
- _all field
- _field_names field
- _id field
- _index field
- _meta field
- _routing field
- _source field
- _type field
- _uid field
- Mapping parameters
- analyzer(分析器)
- normalizer(歸一化)
- boost(提升)
- Coerce(強制類型轉換)
- copy_to(合并參數)
- doc_values(文檔值)
- dynamic(動態設置)
- enabled(開啟字段)
- eager_global_ordinals
- fielddata(字段數據)
- format (日期格式)
- ignore_above(忽略超越限制的字段)
- ignore_malformed(忽略格式不對的數據)
- index (索引)
- index_options(索引設置)
- fields(字段)
- Norms (標準信息)
- null_value(空值)
- position_increment_gap(短語位置間隙)
- properties (屬性)
- search_analyzer (搜索分析器)
- similarity (匹配方法)
- store(存儲)
- Term_vectors(詞根信息)
- Dynamic Mapping
- Dynamic field mapping(動態字段映射)
- Dynamic templates(動態模板)
- default mapping(mapping中的_default_)
- Analysis
- Anatomy of an analyzer(分析器的分析)
- Testing analyzers(測試分析器)
- Analyzers(分析器)
- Configuring built-in analyzers(配置內置分析器)
- Standard Analyzer(標準分析器)
- Simple Analyzer(簡單分析器)
- 空白分析器
- Stop Analyzer
- Keyword Analyzer
- 模式分析器
- 語言分析器
- 指紋分析器
- 自定義分析器
- Normalizers
- Tokenizers(分詞器)
- Standard Tokenizer(標準分詞器)
- Letter Tokenizer
- Lowercase Tokenizer (小寫分詞器)
- Whitespace Analyzer
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer(泰語分詞器)
- NGram Tokenizer
- Edge NGram Tokenizer
- Keyword Analyzer
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Path Hierarchy Tokenizer(路徑層次分詞器)
- Token Filters(詞元過濾器)
- Standard Token Filter
- ASCII Folding Token Filter
- Flatten Graph Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Synonym Graph Token Filter
- Compound Word Token Filters
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- CJK Width Token Filter
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Character Filters(字符過濾器)
- HTML Strip Character Filter
- Mapping Character Filter
- Pattern Replace Character Filter
- 模塊
- Cluster
- 集群級路由和碎片分配
- 基于磁盤的分片分配
- 分片分配awareness
- 分片分配過濾
- Miscellaneous cluster settings
- Scripting
- Painless Scripting Language
- Lucene Expressions Language
- Advanced scripts using script engines
- Snapshot And Restore
- Thread Pool
- Index Modules(索引模塊)
- 預處理節點
- Pipeline Definition
- Ingest APIs
- Put Pipeline API
- Get Pipeline API
- Delete Pipeline API
- Simulate Pipeline API
- Accessing Data in Pipelines
- Handling Failures in Pipelines
- Processors
- Monitoring Elasticsearch
- X-Pack APIs
- X-Pack Commands
- How To
- Testing(測試)
- Glossary of terms
- Release Notes
- X-Pack Release Notes