# forced awareness
自定义分片分布规则,可以通过设置分片的分布规则来人为地影响分片的分布,下面是个例子:
假设我们有几个机架。当我们启动一个节点,我们可以设置一个叫rack_id(其它名字也可以)的属性,例如下面设置:
`node.rack_id:rack_one `
上面这个例子设置了一个属性叫rack_id,它的值为rack_one。现在,我们要设置rack_id作为分片分布规则的一个属性(在所有节点都要设置)。
`cluster.routing.allocation.awareness.attributes:rack_id `
上面设置意味着rack_id会用来作为分片分布的依据。例如:我们启动两个node.rack_id设置rack_one的节点,然后建立一个5个分片,一个副本的索引。这个索引就会完全分布在这两个节点上。如果再启动另外两个节点,node.rack_id设置成rack_two,分片会重新分布,但是一个分片和它的副本不会分配到同样rack_id值的节点上。可以为分片分布规则设置多个属性,例如:
`cluster.routing.allocation.awareness.attributes:rack_id,zone `
注意:当设置了分片分布属性时,如果集群中的节点没有设置其中任何一个属性,那么分片就不会分布到这个节点中。
## forced awareness
有些时候,我们事先就可以知道awareness属性值的数量,并且我们不想让超出需求数量以外的副本分配到特定的具有相同awareness属性值的节点群中,这种情况下我们可以使用强制awareness的功能。举例说明:
假设我们有一个awareness的属性为zone,而且我们知道只存在两个zone的取值:zone1和zone2.因此我们可以配置这样的一个强制awareness属性:
```
cluster.routing.allocation.awareness.force.zone.values: zone1, zone2
cluster.routing.allocation.awareness.attributes: zone
```
现在我们启动两个node.zone:zone1的节点,部署一个5分片1副本的索引,则这两个节点启动后,只会分配5个主分片,一个节点2一个节 点3,但是不会有副本(请注意跟2中的区别,2中是有副本的,因为预先es并不知道会有rack_two的存在)。只有我们启动具有node.zone: zone2的节点,副本才会分配。
- 入门
- 基本概念
- 安装
- 探索你的集群
- 集群健康
- 列出所有索引库
- 创建一个索引库
- 索引文档创建与查询
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- 修改你的数据
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- 批量处理
- 探索你的数据
- 搜索API
- 查询语言介绍
- 执行搜索
- 执行过滤
- 执行聚合
- 总结
- Elasticsearch设置
- 安装Elasticsearch
- .zip或.tar.gz文件的安装方式
- Install Elasticsearch with .zip on Windows
- Debian软件包安装方式
- RPM安装方式
- Install Elasticsearch with Windows MSI Installer
- Docker安装方式
- 配置Elasticsearch
- 安全配置
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- 重要的Elasticsearch配置
- 重要的系统配置
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- 在jvm.options中设置JVM堆大小
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- Significant Terms Aggregation
- Filter Aggregation(过滤器聚合)
- Filters Aggregation
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- Max Bucket Aggregation
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- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation(扩展信息桶聚合)
- Percentiles Bucket Aggregation(百分数桶聚合)
- Moving Average Aggregation
- Cumulative Sum Aggregation(累积汇总聚合)
- Bucket Script Aggregation(桶脚本聚合)
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- Indices APIs
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- 简单查询语句
- Term level queries
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- Range Query
- Exists Query
- Prefix Query
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- Regexp Query
- Fuzzy Query
- Type Query
- Ids Query
- 复合查询
- Constant Score 查询
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- Span Term 查询
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- Minimum Should Match
- Multi Term Query Rewrite
- Mapping
- Removal of mapping types
- Field datatypes
- Array
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- Geo-point datatype
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- Token数
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- join datatype
- Meta-Fields
- _all field
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- _id field
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- _source field
- _type field
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- Mapping parameters
- analyzer(分析器)
- normalizer(归一化)
- boost(提升)
- Coerce(强制类型转换)
- copy_to(合并参数)
- doc_values(文档值)
- dynamic(动态设置)
- enabled(开启字段)
- eager_global_ordinals
- fielddata(字段数据)
- format (日期格式)
- ignore_above(忽略超越限制的字段)
- ignore_malformed(忽略格式不对的数据)
- index (索引)
- index_options(索引设置)
- fields(字段)
- Norms (标准信息)
- null_value(空值)
- position_increment_gap(短语位置间隙)
- properties (属性)
- search_analyzer (搜索分析器)
- similarity (匹配方法)
- store(存储)
- Term_vectors(词根信息)
- Dynamic Mapping
- Dynamic field mapping(动态字段映射)
- Dynamic templates(动态模板)
- default mapping(mapping中的_default_)
- Analysis
- Anatomy of an analyzer(分析器的分析)
- Testing analyzers(测试分析器)
- Analyzers(分析器)
- Configuring built-in analyzers(配置内置分析器)
- Standard Analyzer(标准分析器)
- Simple Analyzer(简单分析器)
- 空白分析器
- Stop Analyzer
- Keyword Analyzer
- 模式分析器
- 语言分析器
- 指纹分析器
- 自定义分析器
- Normalizers
- Tokenizers(分词器)
- Standard Tokenizer(标准分词器)
- Letter Tokenizer
- Lowercase Tokenizer (小写分词器)
- Whitespace Analyzer
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer(泰语分词器)
- NGram Tokenizer
- Edge NGram Tokenizer
- Keyword Analyzer
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Path Hierarchy Tokenizer(路径层次分词器)
- Token Filters(词元过滤器)
- Standard Token Filter
- ASCII Folding Token Filter
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- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
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- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
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- Phonetic Token Filter
- Synonym Token Filter
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- Compound Word Token Filters
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- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
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- Trim Token Filter
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- 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(字符过滤器)
- HTML Strip Character Filter
- Mapping Character Filter
- Pattern Replace Character Filter
- 模块
- Cluster
- 集群级路由和碎片分配
- 基于磁盘的分片分配
- 分片分配awareness
- 分片分配过滤
- Miscellaneous cluster settings
- Scripting
- Painless Scripting Language
- Lucene Expressions Language
- Advanced scripts using script engines
- Snapshot And Restore
- Thread Pool
- Index Modules(索引模块)
- 预处理节点
- 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(测试)
- Glossary of terms
- Release Notes
- X-Pack Release Notes