文章目录

  • 一、获取segments内存使用信息
    • 1、获取所有索引的segments信息
    • 2、获取指定索引的segments信息
    • 3、获取同类索引的segments信息
  • 二、输出结果
  • 三、可选参数:include_segment_file_size
    • 请求url
    • 输出结果为
  • 四、结果详情
    • 1、_shards
    • 2、_all
    • 3、indices

转载请标明出处:
http://blog.csdn.net/qq_27818541/article/details/113135809
本文出自:【BigManing的博客】

一、获取segments内存使用信息

segments的内存使用情况。查询时,可以不指定索引 、也可以指定具体索引、也可以指定模糊索引。

1、获取所有索引的segments信息

http://local.elasticsearch:9200/_stats/segments

2、获取指定索引的segments信息

http://local.elasticsearch:9200/book/_stats/segments

3、获取同类索引的segments信息

log索引是按天滚动新增的,这样可以定义log-*来查询所有log索引的统计信息

http://local.elasticsearch:9200/log-*/_stats/segments

二、输出结果

{"_shards": {"total": 32,"successful": 32,"failed": 0},"_all": {"primaries": {"segments": {// 该索引目前拥有的总段数"count": 169,// 该索引缓存在内存中字节数"memory_in_bytes": 4404644,// 倒排索引(term)缓存在内中所占字节数"terms_memory_in_bytes": 3723502,// 该索引定义为stored_fields字段在内存中缓存的字节数"stored_fields_memory_in_bytes": 574016,// 该索引term_vectors(词向量)在内存中所占字节数量"term_vectors_memory_in_bytes": 0,// 该索引存储对应norms=true的字段当前在内存中缓存字节数"norms_memory_in_bytes": 10816,// 与地理位置相关的缓存数据"points_memory_in_bytes": 67946,// 设置为doc_values缓存在内存中的字节数(doc_values,列式存储)"doc_values_memory_in_bytes": 28364,// 用于优化索引写的缓存(减少写磁盘的频率"index_writer_memory_in_bytes": 768320,// 关于文档的版本映射所占内存大小"version_map_memory_in_bytes": 0,// fixed_bit_set内存,专门用来做nested查询的"fixed_bit_set_memory_in_bytes": 0,// es内部当前的自增ID"max_unsafe_auto_id_timestamp": -1,"file_sizes": {}}},"total": {"segments": {"count": 330,"memory_in_bytes": 8775500,"terms_memory_in_bytes": 7417480,"stored_fields_memory_in_bytes": 1147528,"term_vectors_memory_in_bytes": 0,"norms_memory_in_bytes": 21120,"points_memory_in_bytes": 136188,"doc_values_memory_in_bytes": 53184,"index_writer_memory_in_bytes": 768320,"version_map_memory_in_bytes": 0,"fixed_bit_set_memory_in_bytes": 0,"max_unsafe_auto_id_timestamp": -1,"file_sizes": {}}}},"indices": {"book-20210120": {"uuid": "k43l2I4T2hCVYxgmvFb2Dy","primaries": {"segments": {"count": 8,"memory_in_bytes": 247039,"terms_memory_in_bytes": 209657,"stored_fields_memory_in_bytes": 32272,"term_vectors_memory_in_bytes": 0,"norms_memory_in_bytes": 512,"points_memory_in_bytes": 3998,"doc_values_memory_in_bytes": 600,"index_writer_memory_in_bytes": 0,"version_map_memory_in_bytes": 0,"fixed_bit_set_memory_in_bytes": 0,"max_unsafe_auto_id_timestamp": -1,"file_sizes": {}}},"total": {"segments": {"count": 17,"memory_in_bytes": 499726,"terms_memory_in_bytes": 422271,"stored_fields_memory_in_bytes": 65088,"term_vectors_memory_in_bytes": 0,"norms_memory_in_bytes": 1088,"points_memory_in_bytes": 8011,"doc_values_memory_in_bytes": 3268,"index_writer_memory_in_bytes": 0,"version_map_memory_in_bytes": 0,"fixed_bit_set_memory_in_bytes": 0,"max_unsafe_auto_id_timestamp": -1,"file_sizes": {}}}},...}
}

三、可选参数:include_segment_file_size

设置include_segment_file_size=true(默认为false),将输出每个Lucene索引文件的聚合磁盘使用情况 。

请求url

http://local.elasticsearch:9200/log-*/_stats/segments?include_segment_file_sizes

输出结果为

多出来了file_sizes 这个字段:

{"_shards": {"total": 32,"successful": 32,"failed": 0},"_all": {"primaries": {"segments": {"count": 164,"memory_in_bytes": 4387944,"terms_memory_in_bytes": 3711085,"stored_fields_memory_in_bytes": 572608,"term_vectors_memory_in_bytes": 0,"norms_memory_in_bytes": 10496,"points_memory_in_bytes": 67939,"doc_values_memory_in_bytes": 25816,"index_writer_memory_in_bytes": 826908,"version_map_memory_in_bytes": 756,"fixed_bit_set_memory_in_bytes": 0,"max_unsafe_auto_id_timestamp": -1,"file_sizes": {"si": {"size_in_bytes": 33165,"description": "Segment Info"},"fdx": {"size_in_bytes": 523949,"description": "Field Index"},"tip": {"size_in_bytes": 3315096,"description": "Term Index"},"tim": {"size_in_bytes": 452588688,"description": "Term Dictionary"},"doc": {"size_in_bytes": 149518168,"description": "Frequencies"},"fnm": {"size_in_bytes": 415461,"description": "Fields"},"fdt": {"size_in_bytes": 448491261,"description": "Field Data"},"dii": {"size_in_bytes": 12674,"description": "Points"},"nvd": {"size_in_bytes": 4001117,"description": "Norms"},"pos": {"size_in_bytes": 99208713,"description": "Positions"},"dvm": {"size_in_bytes": 352311,"description": "DocValues"},"dim": {"size_in_bytes": 56562386,"description": "Points"},"dvd": {"size_in_bytes": 368310527,"description": "DocValues"},"nvm": {"size_in_bytes": 16400,"description": "Norms"}}}},"total": {"segments": {"count": 326,"memory_in_bytes": 8764533,"terms_memory_in_bytes": 7408968,"stored_fields_memory_in_bytes": 1146592,"term_vectors_memory_in_bytes": 0,"norms_memory_in_bytes": 20864,"points_memory_in_bytes": 136237,"doc_values_memory_in_bytes": 51872,"index_writer_memory_in_bytes": 1653816,"version_map_memory_in_bytes": 1512,"fixed_bit_set_memory_in_bytes": 0,"max_unsafe_auto_id_timestamp": -1,"file_sizes": {"tim": {"size_in_bytes": 905515161,"description": "Term Dictionary"},"si": {"size_in_bytes": 64521,"description": "Segment Info"},"doc": {"size_in_bytes": 299085852,"description": "Frequencies"},"fnm": {"size_in_bytes": 826587,"description": "Fields"},"fdx": {"size_in_bytes": 1048907,"description": "Field Index"},"dvm": {"size_in_bytes": 701445,"description": "DocValues"},"dii": {"size_in_bytes": 25194,"description": "Points"},"nvd": {"size_in_bytes": 8002112,"description": "Norms"},"fdt": {"size_in_bytes": 897083939,"description": "Field Data"},"nvm": {"size_in_bytes": 32600,"description": "Norms"},"dim": {"size_in_bytes": 113140814,"description": "Points"},"dvd": {"size_in_bytes": 736628331,"description": "DocValues"},"tip": {"size_in_bytes": 6630239,"description": "Term Index"},"pos": {"size_in_bytes": 198247799,"description": "Positions"}}}}},...
}

四、结果详情

1、_shards

分片信息:总数、成功返回数、失败返回数

2、_all

全局维度统计详情

  • primaries :主分片上的统计信息

  • total : 所有分片(主分片+副本分片)上的统计信息

3、indices

索引维度统计详情

Elasticsearch - Indices stats 获取索引级别的统计信息之六 【segments】段的内存使用情况相关推荐

  1. Elasticsearch - Indices stats 获取索引级别的统计信息之三 【indexing】索引操作信息

    文章目录 一.获取索引操作统计信息 1.获取所有索引的indexing信息 2.获取指定索引的indexing信息 3.获取同类索引的indexing信息 二.输出结果 三.结果详情 1._shard ...

  2. 使用pandas GroupBy获取每个组的统计信息(例如计数,均值等)?

    本文翻译自:Get statistics for each group (such as count, mean, etc) using pandas GroupBy? I have a data f ...

  3. python数据分析(1)——获取微信好友的统计信息

    本文主要是尝试下一个比较有意思的python模块:wxpy,导入此模块之后,可以很方便的来创建一个微信机器人和做一些和微信相关的有意思的分析. 1. wxpy 安装 首先,通过pip方式进行安装,在命 ...

  4. linux内存使用统计,Linux 中free命令检查内存使用情况

    我们都知道, IT 基础设施方面的大多数服务器(包括世界顶级的超级计算机)都运行在 Linux 平台上,因为和其他操作系统相比, Linux 更加灵活.有的操作系统对于一些微乎其微的改动和补丁更新都需 ...

  5. oracle获取分组后的统计信息,并只要前五条

    select * from (select b.name,sum(a.je) "value" from zklt_sjjl a  left join zklt_area b on ...

  6. ElasticSearch核心基础之索引管理

    一 索引管理 1.1 创建索引 # 建立索引的时候,我们可以设置主分片和备份分片的数量通过setting字段number_of_shards和number_of_replicas字段设置 # 对于ES ...

  7. 第三百六十二节,Python分布式爬虫打造搜索引擎Scrapy精讲—elasticsearch(搜索引擎)基本的索引和文档CRUD操作、增、删、改、查...

    第三百六十二节,Python分布式爬虫打造搜索引擎Scrapy精讲-elasticsearch(搜索引擎)基本的索引和文档CRUD操作.增.删.改.查 elasticsearch(搜索引擎)基本的索引 ...

  8. 学习笔记(十一)——数据库的索引碎片、计划缓存、统计信息

    1.索引碎片 数据库存储本身是无序的,建立了聚集索引,会按照聚集索引物理顺序存入硬盘.既键值的逻辑顺序决定了表中相应行的物理顺序 而且在大多数的情况下,数据库写入频率远低于读取频率,索引的存在为了读取 ...

  9. SQL Server 执行计划利用统计信息对数据行的预估原理二(为什么复合索引列顺序会影响到执行计划对数据行的预估)...

    本文出处:http://www.cnblogs.com/wy123/p/6008477.html 关于统计信息对数据行数做预估,之前写过对非相关列(单独或者单独的索引列)进行预估时候的算法,参考这里. ...

最新文章

  1. 嵌入式工程师必读100本专业书籍
  2. 程序员如何跟领导提离职_如何跟领导谈加薪,做好这几点,成功谈加薪又不失风度...
  3. YUMI~~强大的USB启动盘制作工具!!
  4. [No00009D]使用visual studio 2015 update3打包程序安装包的简单方法(不需要InstallShield)...
  5. 5918. 统计字符串中的元音子字符串
  6. LeetCode篇之栈:20(括号匹配问题)
  7. nginx负载均衡基于ip_hash的session粘帖
  8. 相同MAC地址,相同IP的两天电脑为什么可以同时上网互不影响(转自Nothel的blog)
  9. Selenium2+python自动化18-加载Firefox配置
  10. fms +fme 视频直播
  11. kubernetes CKA题库(附答案、视频)
  12. atq1_使用at,atq,atrm和batchLinux调度命令示例
  13. 【2019年02月21日】股息率分红最高排名
  14. cad文档服务器部署,云服务器安装cad
  15. 我他妈的是什么!!!!
  16. vbulletin论坛_评论-vBulletin 3.0
  17. 最简单的视频网站(JavaEE+FFmpeg)
  18. 2018宁夏高考计算机类,2018宁夏高考艺术类分数线公布
  19. Linux时间 新纪元 epoch time
  20. 【MATLAB】分时段分类汇总代码

热门文章

  1. pytorch中的gather()函数
  2. 路由协议是什么?路由协议在网络中有哪些作用
  3. 高估自己了?Python 字典这6个使用技巧着实太妙
  4. 孤立森林算法-异常点检测
  5. Java 8 入门教程 - Streams(流)
  6. Kafka Streams开发者指南
  7. 手把手教你写Kafka Streams程序
  8. 专为折腾而生!老旧电脑安装PVE虚拟机保姆教程
  9. 注入灵魂的服装设计手稿
  10. ckeditor3.0.1上传图片功能(.net版本)