# Shrink Index /縮小索引
注意:涉及翻譯內容: Index-索引;types-類型;mapping-映射;aliases-別名;shards-分片;replicas-副本
縮小索引API可以允許你將存在的索引轉變為一個只包含主要分片的新索引。目標索引中請求的主要分片數量必須要為原索引中的因子(即原分片數量是新分片倍數),例如8個分片可以縮小到4、2、1個分片。如果原分片數量為素數則只能縮小到一個分片。在縮小開始時,每個分片的復制都必須在同一節點(node)存在。
縮小工作如下:
* 首先,以相同配置創建目標索引,但是主分片數量減少。
* 然后硬鏈接( hard-linking ) 各部分自原索引到目標索引。(如果系統不支持硬鏈接,那么索引的所有部分都將復制遷移到新索引,將會花費大量時間)
* 最終,將會恢復目標索引,因為目標索引剛被重新打開就會被關閉。
* Finally, it recovers the target index as though it were a closed index which had just been re-opened.
# Preparing an index for shrinking /準備縮小索引
為了縮小索引,索引必須被標記為只讀,所有分片都會復制到一個相同的節點并且節點健康為綠色。
這兩個條件可以通過下列請求實現:
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`curl -XPUT?``'localhost:9200/my_source_index/_settings?pretty'`?`-d'`
`{`
`"settings"``: {`
`"index.routing.allocation.require._name"``:?``"shrink_node_name"``,`
`"index.blocks.write"``:?``true`
`}`
`}'`
|
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[](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-shrink-index.html#CO120-1)
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強制所有分片都復制遷移到名字為?`shrink_node_name 的節點上,通過`?[Shard Allocation Filtering](https://www.elastic.co/guide/en/elasticsearch/reference/current/shard-allocation-filtering.html "Shard Allocation Filtering")?獲取更多設置信息。
|
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[](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-shrink-index.html#CO120-2)
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避免索引的所有寫操作,但是依然可以修改索引的基本信息,例如刪除索引。
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從原索引遷移將會花費一定時間。進度信息可以在所有分片都遷移完成前通過?[`_cat recovery`API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cat-recovery.html "cat recovery")? 或者??[`cluster health`?API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-health.html "Cluster Health")?使用?`wait_for_no_relocating_shards`?參數獲得。
# Shrinking an index /縮小索引
縮小索引?`my_source_index`?到 新的索引?my_target_index ,可以用下列請求:
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`curl -XPOST?``'localhost:9200/my_source_index/_shrink/my_target_index?pretty'`
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上述請求將會在目標索引信息加入到集群時立即返回——他不會等到縮小操作開始。
?
縮小索引需要滿足下列要求:
* 目標索引存在
* 原索引主分片數量比目標索引多
* 原索引主分片數量是目標索引倍數
* 索引中的所有文檔在目標索引將會被縮小到一個分片的數量不會超過?`2,147,483,519`?,因為這是一個分片的承受的最大文檔數量。
* 執行縮小進程的節點必須要有足夠的空閑磁盤空間滿足原索引的分片能夠全部復制遷徙到該節點。
縮小索引API和創建索引?[`(create index)`?API](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-create-index.html "Create Index")?相似,并且對于目標索引接受?`settings`?和?`aliases 參數`
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`curl -XPOST?``'localhost:9200/my_source_index/_shrink/my_target_index?pretty'`?`-d'`
`{`
`"settings"``: {`
`"index.number_of_replicas"``:?``1``,`
`"index.number_of_shards"``:?``1``,`
`"index.codec"``:?``"best_compression"`
`},`
`"aliases"``: {`
`"my_search_indices"``: {}`
`}`
`}'`
|
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[](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-shrink-index.html#CO121-1)
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注意目標分片數量為原分片數量的因子
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[](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-shrink-index.html#CO121-2)
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?best_compression
最佳壓縮時只會影響新寫到索引的數據,例如當 force-merging 分片。
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? 映射(Mappings) 不應該在縮小API中制定,因為所有的?`index.analysis.*?`和?`index.similarity.*`?設置都會被原索引配置覆蓋。
# Monitoring the shrink process /監測縮小進程
The shrink process can be monitored with the?[`_cat recovery`?API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cat-recovery.html "cat recovery"), or the?[`cluster health`?API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-health.html "Cluster Health")?can be used to wait until all primary shards have been allocated by setting the?`wait_for_status`parameter to?`yellow`.
縮小進度可以被?[`_cat recovery`?API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cat-recovery.html "cat recovery")?或者?[`cluster health`?API](https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-health.html "Cluster Health")?所監控。通過設置?wait_for_status 為 yellow ,可以等到所有的主分片都已經分配。
縮小API會在目標索引被創建時馬上返回,這發生在所有分片被分配之前。這點說明這時所有分片都處于?`unassigned 狀態,如果出于任何原因目標索引分片無法分配到執行縮小的節點上,那么主分片狀態會一直停留在?`unassigned ,直到分片被分配。``
一旦主節點分配成功,會轉化狀態會?initializing ,縮小進程就開始執行。當縮小操作結束的時候,這些分片會被激活。在這之后,Elasticsearch將試圖分配副本,甚至可能決定主分片遷至另一個節點。
# Wait For Active Shards /等待激活分片
因為縮小操作會創建新的索引,所以?[wait for active shards](https://www.elastic.co/guide/en/elasticsearch/reference/current/indices-create-index.html#create-index-wait-for-active-shards "Wait For Active Shardsedit")?設置依然有效。
- 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
- 索引重建升級
- Set up X-Pack
- Installing X-Pack
- X-Pack Settings
- Watcher Settings
- Configuring Security
- 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
- Packaging變化
- Percolator變化
- 插件變化
- 索引重建變化
- 信息統計變化
- DSL查詢變化
- 設置變化
- 腳本變化
- API約定
- 多索引語法
- 索引庫名稱的日期運算
- 常用選項
- URL-based訪問控制
- 文檔APIs
- 讀寫文檔
- 索引接口
- Get接口
- Delete API
- Delete By Query API
- Update API
- Update By Query API
- Multi Get API
- Bulk API
- Reindex API
- Term Vectors
- Multi termvectors API
- ?refresh
- 搜索APIs
- Search
- URI Search
- Request Body Search
- Query
- From / Size
- Sort
- Source filtering
- Fields
- Script Fields
- Doc value Fields
- Post filter
- Highlighting
- Rescoring
- Search Type
- Scroll
- Preference
- Explain
- Version
- Index Boost
- min_score
- Named Queries
- Inner hits
- Field Collapsing
- Search After
- Search Template
- Multi Search Template
- Search Shards API
- Suggesters
- Term suggester
- Phrase Suggester
- Completion Suggester
- Context Suggester
- Returning the type of the suggester
- Multi Search API
- Count API
- Validate API
- Explain API
- Profile API
- Profiling Queries
- Profiling Aggregations
- Profiling Considerations
- Field Capabilities API
- Aggregations
- Metrics Aggregations
- 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