# cat nodes
原文鏈接 : [https://www.elastic.co/guide/en/elasticsearch/reference/5.0/cat-nodes.html](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/cat-nodes.html)
譯文鏈接 : [http://www.apache.wiki/display/Elasticsearch/cat+nodes](http://www.apache.wiki/display/Elasticsearch/cat+nodes)
貢獻者 : [那伊抹微笑](/display/~wangyangting)
**nodes** 命令展示了集群拓撲結構。
```
% GET /_cat/nodes
192.168.56.30 9 78 22 1.80 2.05 2.51 mdi * bGG90GE
192.168.56.10 6 75 14 1.24 2.45 1.37 md - I8hydUG
192.168.56.20 5 71 12 1.07 1.05 1.11 di - H5dfFeA
```
前幾列告訴您可用的節點并且描述了一下 **heap**(堆),**memory**(內存),**cpu**,和 **load**(平均負載)。
```
ip heap.percent ram.percent cpu load_1m load_5m load_15m
192.168.56.30 9 78 22 1.80 2.05 2.51
192.168.56.10 6 75 14 1.24 2.45 1.37
192.168.56.20 5 71 12 1.07 1.05 1.11
```
最后幾列提供了在查看整個集群(特別是大集群)時的一些有用的輔助信息。我有多少個?**master-eligible**(**master** 資格的)節點。
## Columns(列)
下面是一個已存在的?**header**(標題)的詳細列表,它可以傳遞?**nodeattrs?h=**?以在有序的列中獲取更詳細的信息。如果沒有指定?**header**(標題),那么這些標記默認情況下就會有。如果指定了?**header**(標題),將不使用默認值。
為了更簡潔,可以使用別名替換完整的標題名稱。列的顯示是有序的,它們在下面被列出了,除非指定了其它的順序(例如,**h=attr**,**value?**與?**h=value**,**attr**?相反)。
在指定標題時,默認的輸出中標題不會被替換。為了使標題可以出現在輸出中,使用?**verbose**(詳細的)模式(**v**)。標題名將匹配提供的值(例如,**pid**?與?**p**?相對)。例如 :?
```
% curl 192.168.56.10:9200/_cat/nodes?v&h=id,ip,port,v,m
id ip port v m
pLSN 192.168.56.30 9300 {version} -
k0zy 192.168.56.10 9300 {version} -
6Tyi 192.168.56.20 9300 {version} *
% curl 192.168.56.10:9200/_cat/nodes?h=id,ip,port,v,m
pLSN 192.168.56.30 9300 {version} -
k0zy 192.168.56.10 9300 {version} -
6Tyi 192.168.56.20 9300 {version} *
```
| Header(標題) | Alias(別名) | Appear by Default(默認顯示) | Description(描述) | Example(示例) |
| --- | --- | --- | --- | --- |
| `id` | `nodeId` | No | Unique node ID | k0zy |
| `pid` | `p` | No | Process ID | 13061 |
| `ip` | `i` | Yes | IP address | 127.0.1.1 |
| `port` | `po` | No | Bound transport port | 9300 |
| `http_address` | `http` | No | bound http address | 127.0.0.1:9200 |
| `version` | `v` | No | Elasticsearch version | 5.0.1 |
| `build` | `b` | No | Elasticsearch Build hash | 5c03844 |
| `jdk` | `j` | No | Running Java version | 1.8.0 |
| `disk.avail` | `d`,?`disk`,?`diskAvail` | No | Available disk space | 1.8gb |
| `heap.current` | `hc`,?`heapCurrent` | No | Used heap | 311.2mb |
| `heap.percent` | `hp`,?`heapPercent` | Yes | Used heap percentage | 7 |
| `heap.max` | `hm`,?`heapMax` | No | Maximum configured heap | 1015.6mb |
| `ram.current` | `rc`,?`ramCurrent` | No | Used total memory | 513.4mb |
| `ram.percent` | `rp`,?`ramPercent` | Yes | Used total memory percentage | 47 |
| `ram.max` | `rm`,?`ramMax` | No | Total memory | 2.9gb |
| `file_desc.current` | `fdc`,`fileDescriptorCurrent` | No | Used file descriptors | 123 |
| `file_desc.percent` | `fdp`,`fileDescriptorPercent` | Yes | Used file descriptors percentage | 1 |
| `file_desc.max` | `fdm`,?`fileDescriptorMax` | No | Maximum number of file descriptors | 1024 |
| `cpu` | ? | No | Recent system CPU usage as percent | 12 |
| `load_1m` | `l` | No | Most recent load average | 0.22 |
| `load_5m` | `l` | No | Load average for the last five minutes | 0.78 |
| `load_15m` | `l` | No | Load average for the last fifteen minutes | 1.24 |
| `uptime` | `u` | No | Node uptime | 17.3m |
| `node.role` | `r`,?`role`,?`nodeRole` | Yes | Master eligible node (m); Data node (d); Ingest node (i); Coordinating node only (-) | mdi |
| `master` | `m` | Yes | Elected master (*); Not elected master (-) | * |
| `name` | `n` | Yes | Node name | I8hydUG |
| `completion.size` | `cs`,?`completionSize` | No | Size of completion | 0b |
| `fielddata.memory_size` | `fm`,?`fielddataMemory` | No | Used fielddata cache memory | 0b |
| `fielddata.evictions` | `fe`,?`fielddataEvictions` | No | Fielddata cache evictions | 0 |
| `query_cache.memory_size` | `qcm`,?`queryCacheMemory` | No | Used query cache memory | 0b |
| `query_cache.evictions` | `qce`,?`queryCacheEvictions` | No | Query cache evictions | 0 |
| `request_cache.memory_size` | `rcm`,?`requestCacheMemory` | No | Used request cache memory | 0b |
| `request_cache.evictions` | `rce`,`requestCacheEvictions` | No | Request cache evictions | 0 |
| `request_cache.hit_count` | `rchc`,`requestCacheHitCount` | No | Request cache hit count | 0 |
| `request_cache.miss_count` | `rcmc`,`requestCacheMissCount` | No | Request cache miss count | 0 |
| `flush.total` | `ft`,?`flushTotal` | No | Number of flushes | 1 |
| `flush.total_time` | `ftt`,?`flushTotalTime` | No | Time spent in flush | 1 |
| `get.current` | `gc`,?`getCurrent` | No | Number of current get operations | 0 |
| `get.time` | `gti`,?`getTime` | No | Time spent in get | 14ms |
| `get.total` | `gto`,?`getTotal` | No | Number of get operations | 2 |
| `get.exists_time` | `geti`,?`getExistsTime` | No | Time spent in successful gets | 14ms |
| `get.exists_total` | `geto`,?`getExistsTotal` | No | Number of successful get operations | 2 |
| `get.missing_time` | `gmti`,?`getMissingTime` | No | Time spent in failed gets | 0s |
| `get.missing_total` | `gmto`,?`getMissingTotal` | No | Number of failed get operations | 1 |
| `indexing.delete_current` | `idc`,`indexingDeleteCurrent` | No | Number of current deletion operations | 0 |
| `indexing.delete_time` | `idti`,?`indexingDeleteTime` | No | Time spent in deletions | 2ms |
| `indexing.delete_total` | `idto`,?`indexingDeleteTotal` | No | Number of deletion operations | 2 |
| `indexing.index_current` | `iic`,?`indexingIndexCurrent` | No | Number of current indexing operations | 0 |
| `indexing.index_time` | `iiti`,?`indexingIndexTime` | No | Time spent in indexing | 134ms |
| `indexing.index_total` | `iito`,?`indexingIndexTotal` | No | Number of indexing operations | 1 |
| `indexing.index_failed` | `iif`,?`indexingIndexFailed` | No | Number of failed indexing operations | 0 |
| `merges.current` | `mc`,?`mergesCurrent` | No | Number of current merge operations | 0 |
| `merges.current_docs` | `mcd`,?`mergesCurrentDocs` | No | Number of current merging documents | 0 |
| `merges.current_size` | `mcs`,?`mergesCurrentSize` | No | Size of current merges | 0b |
| `merges.total` | `mt`,?`mergesTotal` | No | Number of completed merge operations | 0 |
| `merges.total_docs` | `mtd`,?`mergesTotalDocs` | No | Number of merged documents | 0 |
| `merges.total_size` | `mts`,?`mergesTotalSize` | No | Size of current merges | 0b |
| `merges.total_time` | `mtt`,?`mergesTotalTime` | No | Time spent merging documents | 0s |
| `refresh.total` | `rto`,?`refreshTotal` | No | Number of refreshes | 16 |
| `refresh.time` | `rti`,?`refreshTime` | No | Time spent in refreshes | 91ms |
| `script.compilations` | `scrcc`,?`scriptCompilations` | No | Total script compilations | 17 |
| `script.cache_evictions` | `scrce`,`scriptCacheEvictions` | No | Total compiled scripts evicted from cache | 6 |
| `search.fetch_current` | `sfc`,?`searchFetchCurrent` | No | Current fetch phase operations | 0 |
| `search.fetch_time` | `sfti`,?`searchFetchTime` | No | Time spent in fetch phase | 37ms |
| `search.fetch_total` | `sfto`,?`searchFetchTotal` | No | Number of fetch operations | 7 |
| `search.open_contexts` | `so`,?`searchOpenContexts` | No | Open search contexts | 0 |
| `search.query_current` | `sqc`,?`searchFetchCurrent` | No | Current query phase operations | 0 |
| `search.query_time` | `sqti`,?`searchFetchTime` | No | Time spent in query phase | 43ms |
| `search.query_total` | `sqto`,?`searchFetchTotal` | No | Number of query operations | 9 |
| `search.scroll_current` | `scc`,?`searchScrollCurrent` | No | Open scroll contexts | 2 |
| `search.scroll_time` | `scti`,?`searchScrollTime` | No | Time scroll contexts held open | 2m |
| `search.scroll_total` | `scto`,?`searchScrollTotal` | No | Completed scroll contexts | 1 |
| `segments.count` | `sc`,?`segmentsCount` | No | Number of segments | 4 |
| `segments.memory` | `sm`,?`segmentsMemory` | No | Memory used by segments | 1.4kb |
| `segments.index_writer_memory` | `siwm`,`segmentsIndexWriterMemory` | No | Memory used by index writer | 18mb |
| `segments.version_map_memory` | `svmm`,`segmentsVersionMapMemory` | No | Memory used by version map | 1.0kb |
| `segments.fixed_bitset_memory` | `sfbm`,?`fixedBitsetMemory` | No | Memory used by fixed bit sets for nested object field types and type filters for types referred in _parent fields | 1.0kb |
| `suggest.current` | `suc`,?`suggestCurrent` | No | Number of current suggest operations | 0 |
| `suggest.time` | `suti`,?`suggestTime` | No | Time spent in suggest | 0 |
| suggest.total | `suto`,?`suggestTotal` | No | Number of suggest operations | 0 |
- Getting Started(入門指南)
- Basic Concepts(基礎概念)
- Installation(安裝)
- Exploring Your Cluster(探索集群)
- Cluster Health(集群健康)
- List All Indices(列出所有索引)
- Create an Index(創建索引)
- Index and Query a Document(索引和查詢文檔)
- Delete an Index(刪除索引)
- Modifying Your Data(修改數據)
- Updating Documents(更新文檔)
- Deleting Documents(刪除文檔)
- Batch Processing(批處理)
- Exploring Your Data(探索數據)
- The Search API(搜索 API)
- Introducing the Query Language(介紹查詢語言)
- Executing Searches(執行查詢)
- Executing Filters(執行過濾)
- Executing Aggregations(執行聚合)
- Conclusion(總結)
- Setup Elasticsearch(設置)
- Installing Elasticsearch(安裝)
- zip 或 tar.gz 安裝
- Debian軟件包安裝Elasticsearch
- 用RPM安裝Elasticsearch
- Windows 環境下安裝ES
- Docker 方式安裝
- 配置Elasticsearch
- 重要Elasticsearch配置
- 安全配置
- 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
- 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
- G1GC檢查
- 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
- 升級Elasticsearch
- Elasticsearch停機
- 重大改變
- 在5.3 重大改變
- 在5.2 重大改變
- Shadow Replicas已被棄用
- 在5.1 重大改變
- 在5.0 重大改變
- 搜索和查詢DSL改變
- 映射改變
- 過濾器改變
- Suggester變化
- 索引API改變
- 文檔API改變
- 設置的改變
- 分配改變
- HTTP改變
- REST API改變
- CAT API改變
- Java API改變
- Packaging
- Plugin改變
- 文件系統相關改變
- 磁盤上數據的路徑
- 聚合改變
- 腳本相關改變
- API 規范
- Multiple Indices(多個索引)
- Date math support in index names(索引名稱對 Date 和 Math 的支持)
- 常見選項
- URL-based access control(基于 URL 的訪問控制)
- Document APIS
- Index API
- Get API
- Update API
- 通過查詢 API 更新
- 多個 GET API
- Bulk API
- Reading and Writing documents(讀寫文檔)
- Delete API
- Delete By Query API
- Reindex API
- Term Vectors
- Multi termvectors API
- ?refresh
- Search 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
- Search After
- Field Collapsing 字段折疊
- Search 模板
- Multi Search 模板
- Search Shards API
- Suggesters
- Completion Suggester
- Context Suggester
- Phrase Suggester
- Term suggester
- Multi Search API
- Count API
- Validate API
- Explain API
- Profile API
- Profiling Queries
- Profiling Aggregations
- Profiling Considerations
- Aggregations
- Metric Aggregations
- 值計數聚合(Value Count Aggregation)
- 地理邊界聚合
- 地理重心聚合
- 基數聚合
- 平均值聚合
- 擴展統計聚合
- 最大值聚合
- 最小值聚合
- Bucket Aggregations
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation(過濾器聚合)
- Filters Aggregation
- Geo Distance Aggregation(地理距離聚合)
- GeoHash grid Aggregation(GeoHash網格聚合)
- Global Aggregation(全局聚合)
- 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
- 鄰接矩陣聚合
- 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)
- 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
- Matrix Stats(矩陣統計)
- Caching heavy aggregations(緩存頻繁聚合)
- Returning only aggregation results(僅返回需要聚合的結果)
- Aggregation Metadata(聚合元數據)
- Returning the type of the aggregation(返回聚合的類型)
- 索引 API
- 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
- 卷影副本索引
- 依賴卷影副本的節點級設置
- 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 thread pool
- cat shards
- cat segments
- cat snapshots
- 集群 API
- Cluster Allocation Explain API
- Cluster Health
- Cluster Reroute
- Cluster State
- Cluster Stats
- Cluster Update Settings
- Nodes hot_threads
- Nodes Info
- Nodes Stats
- Pending cluster tasks
- Task Management API
- 查詢 DSL
- 查詢和過濾上下文
- Match ALL 查詢
- 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
- 復合查詢家族
- Constant Score 查詢
- Bool 查詢
- Dis Max 查詢
- Function Score 查詢
- Boosting 查詢
- Indices 查詢
- Join 查詢
- Has Child Query
- Has Parent Query
- Nested Query(嵌套查詢)
- Parent Id Query
- 術語查詢
- Exists Query(非空值查詢)
- Fuzzy Query(模糊查詢)
- Ids Query(ID 查詢)
- Prefix Query(前綴查詢)
- Range Query(范圍查詢)
- Regexp Query(正則表達式查詢)
- Term Query(項查詢)
- Terms Query(多項查詢)
- Type Query(類型查詢)
- Wildcard Query(通配符查詢)
- 地理位置查詢
- 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 Distance Range Query(地理距離范圍查詢)
- Geo Polygon Query(地理多邊形查詢)
- Span 查詢
- 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
- Specialized queries(專業查詢)
- Mapping(映射)
- 字段類型
- Array
- Binary
- Range
- Boolean
- Date
- Geo-point datatype
- String
- Text
- Token數
- 滲濾型
- KeyWord
- Nested
- Object
- Numeric
- Meta-Fields(元字段)
- _all field
- _field_names field
- _id field
- _index field
- _meta field
- _parent field
- _routing field
- _source field
- _type field
- _uid field
- Mapping parameters(映射參數)
- 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)
- 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)
- include_in_all(_all 查詢包含字段)
- index_options(索引設置)
- index (索引)
- 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(動態映射)
- default mapping(mapping中的_default_)
- Dynamic field mapping(動態字段映射)
- Dynamic templates(動態模板)
- Override default template(覆蓋默認模板)
- Mapping(映射)
- Analysis
- Tokenizers(分詞器)
- Standard Tokenizer(標準分詞器)
- Letter Tokenizer
- Lowercase Tokenizer (小寫分詞器)
- Whitespace Analyzer
- 停止分析器
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer(泰語分詞器)
- NGram Tokenizer
- Keyword Analyzer
- Path Hierarchy Tokenizer(路徑層次分詞器)
- Pattern Tokenizer
- Token Filters(詞元過濾器)
- Apostrophe Token Filter(撇號/單引號過濾器)
- ASCII Folding Token Filter(ASCII Folding 詞元過濾器)
- CJK Bigram Token Filter(CJK Bigram詞元過濾器)
- CJK Width Token Filter(CJK寬度過濾器)
- Classic Token Filter(經典過濾器)
- Common Grams Token Filter(近義詞詞元過濾器)
- Compound Word Token Filter(復合詞過濾器)
- Decimal Digit Token Filter(十進制數字過濾器)
- Delimited Payload Token Filter(Delimited Payload詞元分析器)
- Edge NGram Token Filter(Edge NGram 詞元過濾器)
- Elision Token Filter(Elision詞元過濾器)
- Fingerprint Token Filter(指紋過濾器)
- Flatten Graph Token Filter(Flatten Graph 詞元過濾器)
- Hunspell Token Filter(Hunspell 詞元過濾器)
- Keep Types Token Filter(保留指定類型過濾器)
- Keep Words Token Filter(保留字過濾器)
- Keyword Marker Token Filter(Keyword Marker 詞元過濾器)
- Keyword Repeat Token Filter(Keyword Repeat 詞元過濾器)
- KStem Token Filter(KStem 詞元過濾器)
- Length Token Filter(長度詞元過濾器)
- Limit Token Count Token Filter(限制詞元數量過濾器)
- Lowercase Token Filter(Lowercase 詞元過濾器)
- Minhash Token Filter(Minhash過濾器)
- NGram Token Filter(NGram詞元過濾器)
- Normalization Token Filter(標準化詞元過濾器)
- Pattern Capture Token Filter(模式匹配詞元過濾器)
- Pattern Replace Token Filter(模式替換詞元過濾器)
- Phonetic Token Filter(Phonetic 詞元過濾器)
- Porter Stem Token Filter(Porter Stem 詞元過濾器)
- Reverse Token Filteredit(反向詞元過濾器)
- Shingle Token Filter(Shingle 詞元過濾器)
- Snowball Token Filter(Snowball 詞元過濾器)
- Standard Token Filters(標準詞元過濾器)
- Stemmer Override Token Filter(Stemmer Override 詞元過濾器)
- Stemmer Token Filter(Stemmer 詞元過濾器)
- Stop Token Filter(Stop 詞元過濾器)
- Synonym Graph Token Filter(Synonym Graph 詞元過濾器)
- Synonym Token Filter(Synonym 詞元過濾器)
- Trim Token Filter(Trim詞元過濾器)
- Truncate Token Filter(截斷詞元過濾器)
- Unique Token Filter(唯一詞元過濾器)
- Uppercase Token Filter(Uppercase詞元過濾器)
- Word Delimiter Token Filter(Word Delimiter 詞元過濾器)
- Character Filters(字符過濾器)
- md Strip Character Filter
- Mapping Character Filter
- Pattern Replace Character Filter
- 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
- 指紋分析器
- 模式分析器
- 自定義分析器
- 語言分析器
- 模塊
- Indices(索引)
- Circuit breakers(熔斷器)
- Fielddata cache(列數據緩存)
- indexing buffer(索引寫入緩沖)
- indices Recovery(索引恢復)
- NetWork Setting(網絡配置)
- Node Query Cache(節點查詢緩存)
- Shard request cache(分片請求緩存)
- 腳本
- Groovy 腳本語言
- Painless 腳本語言
- Painless 語法
- Painless 調試
- Lucene表達式語言
- 原生(Java)腳本
- 高級文本評分腳本
- 快照和還原
- 線程池
- 傳輸
- HTTP
- Tribe Node (部落節點)
- 跨集群搜索
- Cluster(集群)
- Disk-based Shard Allocation ( 基于磁盤的分片分配 )
- Shard Allocation Awareness ( 分片分配意識 )
- 群集級別分片分配
- Node
- 插件
- Index Modules(索引模塊)
- Analysis(分析)
- 索引分片分配
- 分片分配過濾
- 節點丟失時的延遲分配
- 索引恢復的優先級
- 每個節點的總分片數
- Mapper(映射)
- Merge(合并)
- Similarity module(相似模塊)
- Slow log(慢日志)
- Store
- 預加載數據到文件系統緩存
- Translog(事務日志)
- Ingest Node(預處理節點)
- Pipeline Definition(管道定義)
- Ingest APIs
- Put Pipeline API
- Get Pipeline API
- Delete Pipeline API
- Simulate Pipeline API(模擬管道 API)
- Accessing Data in Pipelines(訪問管道中的數據)
- Handling Failures in Pipelines(處理管道中的故障)
- Processors(處理器)
- Append Processor(追加處理器)
- Convert Processor(轉換處理器)
- Date Processor(日期處理器)
- Date Index Name Processor(日期索引名稱處理器)
- Fail Processor(故障處理器)
- Foreach Processor(循環處理器)
- Grok Processor(Grok 處理器)
- Gsub Processor(Gsub 處理器)
- Join Processor(連接處理器)
- JSON Processor(JSON 處理器)
- KV Processor(KV 處理器)
- Lowercase Processor(小寫處理器)
- Remove Processor(刪除處理器)
- Rename Processor(重命名處理器)
- Script Processor(腳本處理器)
- Set Processor(設置處理器)
- Split Processor(拆分處理器)
- Sort Processor(排序處理器)
- Trim Processor(修剪處理器)
- Uppercase Processor(大寫處理器)
- Dot Expander Processor(點擴展器處理器)
- How to(操作方式)
- 一些建議
- Recipes(訣竅)
- 索引速率調優
- 查詢優化
- 磁盤使用調優
- Testing(測試)
- Java Testing Framework(測試框架)
- ( why randomized testing ) 為什么隨機測試?
- Using the elasticsearch test classes ( 使用 elasticsearch 測試類 )
- unit tests(單元測試)
- integreation test(集成測試)
- Randomized testing(隨機測試)
- Assertions()
- Glossary of terms (詞匯表)
- Release Notes(版本說明)
- 5.3.0 版本說明
- 5.2.2 Release Notes
- 5.2.1 Release Notes
- 5.2.0 Release Notes
- 5.1.2 Release Notes
- 5.1.1 Release Notes
- 5.1.0 Release Notes
- 5.0.1 Release Notes