## 日志配置
Elasticsearch使用[Log4j2](https://logging.apache.org/log4j/2.x/)进行日志记录。 Log4j2可以通过log4j2.properties文件进行配置。Elasticsearch公开了三个属性:`${sys:es.logs.base_path}`、`${sys:es.logs.cluster_name}`、`${sys:es.logs.node_name}`(如果节点名字通过`node.name`明确配置过),这三个属性可以在配置文件中引用,以确定日志文件的存放路径; `${sys:es.logs.base_path}`被解析为日志目录,`${sys:es.logs.cluster_name}`被解析为集群名称(默认用作日志文件名的前缀),`${sys:es.logs.node_name}`被解析为节点名字(如果节点名字明确配置过)。
例如,如果您的日志目录(`path.logs`)是`/var/log/elasticsearch`,并且您的集群名为`production`,那么`${sys:es.logs}`将解析为`/var/log/elasticsearch/production`,`${sys:es.logs.base_path}${sys:file.separator}${sys:es.logs.cluster_name}.log`将被解析为`/var/log/elasticsearch/production.log`。
```
appender.rolling.type = RollingFile
appender.rolling.name = rolling
appender.rolling.fileName = ${sys:es.logs.base_path}${sys:file.separator}${sys:es.logs.cluster_name}.log
appender.rolling.layout.type = PatternLayout
appender.rolling.layout.pattern = [%d{ISO8601}][%-5p][%-25c{1.}] %marker%.-10000m%n
appender.rolling.filePattern = ${sys:es.logs.base_path}${sys:file.separator}${sys:es.logs.cluster_name}-%d{yyyy-MM-dd}-%i.log.gz
appender.rolling.policies.type = Policies
appender.rolling.policies.time.type = TimeBasedTriggeringPolicy
appender.rolling.policies.time.interval = 1
appender.rolling.policies.time.modulate = true
appender.rolling.policies.size.type = SizeBasedTriggeringPolicy
appender.rolling.policies.size.size = 256MB
appender.rolling.strategy.type = DefaultRolloverStrategy
appender.rolling.strategy.fileIndex = nomax
appender.rolling.strategy.action.type = Delete
appender.rolling.strategy.action.basepath = ${sys:es.logs.base_path}
appender.rolling.strategy.action.condition.type = IfFileName
appender.rolling.strategy.action.condition.glob = ${sys:es.logs.cluster_name}-*
appender.rolling.strategy.action.condition.nested_condition.type = IfAccumulatedFileSize
appender.rolling.strategy.action.condition.nested_condition.exceeds = 2GB
```
// TODO
如果将`.gz`或`.zip`附加到`appender.rolling.filePattern`,那么日志将在滚动时压缩。
如果你想保留指定时间段的日志,可以使用一个带有删除动作的滚动策略。
```
appender.rolling.strategy.type = DefaultRolloverStrategy #①
appender.rolling.strategy.action.type = Delete #②
appender.rolling.strategy.action.basepath = ${sys:es.logs.base_path} #③
appender.rolling.strategy.action.condition.type = IfLastModified #④
appender.rolling.strategy.action.condition.age = 7D #⑤
appender.rolling.strategy.action.PathConditions.type = IfFileName #⑥
appender.rolling.strategy.action.PathConditions.glob = ${sys:es.logs.cluster_name}-* #⑦
```
① 配置滚定处理器DefaultRolloverStrategy
- - - - - -
② 为滚动滚定处理器配置删除动作
- - - - - -
③ 日志文件目录
- - - - - -
④ 指定滚定的条件
- - - - - -
⑤ 保留日志的时间
- - - - - -
⑥ 根据文件名匹配,仅删除超过7天的文件
- - - - - -
⑦ 根据`${sys:es.logs.cluster_name}-*`格式去匹配删除文件; 它仅仅只删除Elasticsearch的日志,不会删除`deprecation`与`slow`的日志。
可以加载多个配置文件(在这种情况下,它们将被合并),只要它们命名为`log4j2.properties`并将Elasticsearch config目录作为父目录; 这对于暴露其他日志记录器的插件很有用。 日志部分包含java包及其对应的日志级别。 记录器部分包含日志的目标。 有关如何自定义日志记录和所有支持的追加器的详细信息可以在[Log4j文档](http://logging.apache.org/log4j/2.x/manual/configuration.html)中找到。
## Configuring logging levels
// TODO
## Deprecation(过期)日志
除了常规日志记录之外,Elasticsearch还允许您启用日志来记录一些过期的操作。 例如,这允许您在早期就确定您将需要在未来迁移哪些功能。 默认情况下,过期日志会开启并以WRAN级别记录,此级别会记录所有过期操作的日志。
```
logger.deprecation.level = warn
```
它将在日志目录中创建每日滚动的deprecation日志文件。 定期检查此文件,特别是当您打算升级到新的主版本。
默认的日志配置已为弃用日志设置了滚动策略,将在1GB之后滚动和压缩,并且最多保留五个日志文件(四个已滚动的日志和一个正在记录的日志)。
您可以通过在`config/log4j2.properties`文件中设置deprecation日志级别设置为`error`来禁用它。
> my note
>
> 日志配置
- 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
- 删除一个索引库
- 修改你的数据
- 更新文档
- 删除文档
- 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
- 日志配置
- 重要的Elasticsearch配置
- 重要的系统配置
- 系统设置
- 在jvm.options中设置JVM堆大小
- 禁用swapping
- 文件描述符
- 虚拟内存
- 线程数
- DNS cache settings
- 启动前检查
- 堆大小检查
- 文件描述符检查
- 内存锁定检查
- 最大线程数检查
- 最大虚拟内存检查
- Max file size check
- 最大map数检查
- JVM Client模式检查
- 串行收集使用检查
- 系统调用过滤检查
- OnError与OnOutOfMemoryError检查
- Early-access check
- G1GC检查
- Elasticsearch停机
- Elasticsearch升级
- 滚动升级
- 全集群重启升级
- 索引重建升级
- Set up X-Pack
- Installing X-Pack
- X-Pack Settings
- Watcher Settings
- Configuring Security
- Breaking changes in 6.0
- X-Pack Breaking Changes
- 重大变化
- 6.0的重大变化
- 聚合变化
- Cat API变化
- 客户端变化
- 集群变化
- 文档API变化
- 索引变化
- 预处理变化
- 映射变化
- Packaging变化
- Percolator变化
- 插件变化
- 索引重建变化
- 信息统计变化
- DSL查询变化
- 设置变化
- 脚本变化
- API约定
- 多索引语法
- 索引库名称的日期运算
- 常用选项
- URL-based访问控制
- 文档APIs
- 读写文档
- 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
- 值计数聚合(Value Count Aggregation)
- Cardinality Aggregation
- Extended Stats Aggregation
- 地理边界聚合
- 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
- 邻接矩阵聚合
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Significant Terms Aggregation
- Filter Aggregation(过滤器聚合)
- Filters Aggregation
- Geo Distance Aggregation(地理距离聚合) 转至元数据结尾
- GeoHash grid Aggregation(GeoHash网格聚合)
- Global Aggregation(全局聚合) 转至元数据结尾
- Histogram Aggregation
- IP Range Aggregation(IP范围聚合)
- Missing Aggregation
- Nested Aggregation(嵌套聚合)
- Range Aggregation(范围聚合)
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation(导数聚合)
- Max Bucket Aggregation
- Min Bucket Aggregation
- 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)
- Bucket Selector Aggregation(桶选择器聚合)
- Serial Differencing Aggregation(串行差异聚合)
- Matrix Aggregations
- Matrix Stats
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Indices APIs
- Create Index /创建索引
- Delete Index /删除索引
- Get Index /获取索引
- Indices Exists /索引存在
- Open / Close Index API /启动关闭索引
- Shrink Index /缩小索引
- Rollover Index/滚动索引
- Put Mapping /提交映射
- Get Mapping /获取映射
- Get Field Mapping /获取字段映射
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Explain Analyze
- Index Templates
- 索引统计信息
- 索引段
- 索引恢复
- 索引分片存储
- 清理缓存
- 刷新
- 同步刷新
- 重新加载
- 强制合并
- 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
- 集群状态
- 集群统计
- 挂起的集群任务
- 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
- 查询context与过滤context
- Match All Query
- 全文搜索
- 匹配查询
- 短语匹配查询
- 短语前缀匹配查询
- 多字段查询
- 常用术语查询
- 查询语句查询
- 简单查询语句
- Term level queries
- Term Query
- Terms Query
- Range Query
- Exists Query
- Prefix Query
- Wildcard Query
- Regexp Query
- Fuzzy Query
- Type Query
- Ids Query
- 复合查询
- Constant Score 查询
- Bool 查询
- Dis Max 查询
- Function Score 查询
- Boosting 查询
- Joining queries
- Has Child Query
- Has Parent Query
- Nested Query(嵌套查询)
- Parent Id Query
- Geo queries
- GeoShape Query(地理形状查询)
- Geo Bounding Box Query(地理边框查询)
- Geo Distance Query(地理距离查询)
- Geo Polygon Query(地理多边形查询)
- Specialized queries
- More Like This Query
- Script Query
- Percolate Query
- Span queries
- Span Term 查询
- Span Multi Term 查询
- Span First 查询
- Span Near 查询
- Span Or 查询
- Span Not 查询
- Span Containing 查询
- Span Within 查询
- Span Field Masking 查询 转至元数据结尾
- 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数
- 渗滤型
- 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(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
- 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