_field_stats 实现的功能:https://www.elastic.co/guide/en/elasticsearch/reference/5.6/search-field-stats.html

获取索引下字段的统计信息,如下表,同时还可以针对这些统计值进行过滤:

Field statistics

The field stats api is supported on string based, number based and date based fields and can return the following statistics per field:

max_doc

The total number of documents.

doc_count

The number of documents that have at least one term for this field, or -1 if this measurement isn’t available on one or more shards.

density

The percentage of documents that have at least one value for this field. This is a derived statistic and is based on the max_doc and doc_count.

sum_doc_freq

The sum of each term’s document frequency in this field, or -1 if this measurement isn’t available on one or more shards. Document frequency is the number of documents containing a particular term.

sum_total_term_freq

The sum of the term frequencies of all terms in this field across all documents, or -1 if this measurement isn’t available on one or more shards. Term frequency is the total number of occurrences of a term in a particular document and field.

Field stats index constraints ——kibana里按照时间范围进行绘图就是用到这个。

Field stats index constraints allows to omit all field stats for indices that don’t match with the constraint. An index constraint can exclude indices' field stats based on the min_value and max_value statistic. This option is only useful if the level option is set to indices. Fields that are not indexed (not searchable) are always omitted when an index constraint is defined.

For example index constraints can be useful to find out the min and max value of a particular property of your data in a time based scenario. The following request only returns field stats for the answer_count property for indices holding questions created in the year 2014:

POST _field_stats?level=indices
{
"fields" : ["answer_count"],

   "index_constraints" : { 

      "creation_date" : { 

         "max_value" : { 

            "gte" : "2014-01-01T00:00:00.000Z"
},
"min_value" : {

            "lt" : "2015-01-01T00:00:00.000Z"
}
}
}
}

对应ES5.5的源码部分:elasticsearch/search/lookup/IndexField.java

import org.apache.lucene.search.CollectionStatistics;
import org.elasticsearch.common.util.MinimalMap; import java.io.IOException;
import java.util.HashMap;
import java.util.Map; /**
* Script interface to all information regarding a field.
* */
public class IndexField extends MinimalMap<String, IndexFieldTerm> { /*
* TermsInfo Objects that represent the Terms are stored in this map when
* requested. Information such as frequency, doc frequency and positions
* information can be retrieved from the TermInfo objects in this map.
*/
private final Map<String, IndexFieldTerm> terms = new HashMap<>(); // the name of this field
private final String fieldName; /*
* The holds the current reader. We need it to populate the field
* statistics. We just delegate all requests there
*/
private final LeafIndexLookup indexLookup; /*
* General field statistics such as number of documents containing the
* field.
*/
private final CollectionStatistics fieldStats;
public IndexField(String fieldName, LeafIndexLookup indexLookup) throws IOException { assert fieldName != null;
this.fieldName = fieldName; assert indexLookup != null;
this.indexLookup = indexLookup; fieldStats = this.indexLookup.getIndexSearcher().collectionStatistics(fieldName);
} /* get number of documents containing the field */
public long docCount() throws IOException {
return fieldStats.docCount();
} /* get sum of the number of words over all documents that were indexed */
public long sumttf() throws IOException {
return fieldStats.sumTotalTermFreq();
} /*
* get the sum of doc frequencies over all words that appear in any document
* that has the field.
*/
public long sumdf() throws IOException {
return fieldStats.sumDocFreq();
}
// 。。。。。。。
}

elasticsearch _field_stats 源码分析的更多相关文章

  1. Elasticsearch之源码分析(shard分片规则)

    前期博客是 Elasticsearch之源码编译 (1)elasticsearch在建立索引时,根据id或(id,类型)进行hash,得到hash值之后再与该索引的分片数量取模,取模的值即为存入的分片 ...

  2. ElasticSearch Index操作源码分析

    ElasticSearch Index操作源码分析 本文记录ElasticSearch创建索引执行源码流程.从执行流程角度看一下创建索引会涉及到哪些服务(比如AllocationService.Mas ...

  3. Elasticsearch源码分析 - 源码构建

    原文地址:https://mp.weixin.qq.com/s?__biz=MzU2Njg5Nzk0NQ==&mid=2247483694&idx=1&sn=bd03afe5a ...

  4. ElasticSearch 启动时加载 Analyzer 源码分析

    ElasticSearch 启动时加载 Analyzer 源码分析 本文介绍 ElasticSearch启动时如何创建.加载Analyzer,主要的参考资料是Lucene中关于Analyzer官方文档 ...

  5. Elasticsearch源码分析—线程池(十一) ——就是从队列里处理请求

    Elasticsearch源码分析—线程池(十一) 转自:https://www.felayman.com/articles/2017/11/10/1510291570687.html 线程池 每个节 ...

  6. elasticsearch源码分析之search模块(server端)

    elasticsearch源码分析之search模块(server端) 继续接着上一篇的来说啊,当client端将search的请求发送到某一个node之后,剩下的事情就是server端来处理了,具体 ...

  7. elasticsearch源码分析之search模块(client端)

    elasticsearch源码分析之search模块(client端) 注意,我这里所说的都是通过rest api来做的搜索,所以对于接收到请求的节点,我姑且将之称之为client端,其主要的功能我们 ...

  8. Solr4.8.0源码分析(13)之LuceneCore的索引修复

    Solr4.8.0源码分析(13)之LuceneCore的索引修复 题记:今天在公司研究elasticsearch,突然看到一篇博客说elasticsearch具有索引修复功能,顿感好奇,于是点进去看 ...

  9. 转-filebeat 源码分析

    背景 在基于elk的日志系统中,filebeat几乎是其中必不可少的一个组件,例外是使用性能较差的logstash file input插件或自己造个功能类似的轮子:). 在使用和了解filebeat ...

随机推荐

  1. 1B课程笔记分享_StudyJams_2017

    课程1B 概述 课程1B主要讲解了Android UI的ViewGroups(视图组).LinearLayout(线性布局).RelativeLayout(相对布局),Portrait Mode(竖屏 ...

  2. Win32基础知识整理

    1.定义字符串 在资源新建String table,增加新字符串: (win32加载) TCHAR tcIDName[255]=_T(""); LoadString(hInstan ...

  3. Java 中访问数据库的步骤?Statement 和PreparedStatement 之间的区别?

    Java 中访问数据库的步骤?Statement 和PreparedStatement 之间的区别? Java 中访问数据库的步骤 1)注册驱动: 2)建立连接: 3)创建Statement: 4)执 ...

  4. HDU_1502_dp

    Regular Words Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)Tot ...

  5. 如何在Centos里面,把.net core程序设为开机自启动

    确定你的.net core程序可以在centos手动启动后,下一步,就是把这个程序做成一个服务,让它开机自自动了 1.创建脚本文件 到目录/etc/rc.d/init.d下面,创建一个myserver ...

  6. pandas操作,按序号取列,按条件筛选,df格式转换等

    这几天遇到比较多的dataframe操作,频繁使用,在此整理记录下,方便查找. 1.num为列的数字序号,name=df.columns[num],返回的是column的字符串名字,df[name]= ...

  7. P2639 [USACO09OCT]Bessie的体重问题 【背包问题】

    题目描述 Bessie像她的诸多姊妹一样,因为从Farmer John的草地吃了太多美味的草而长出了太多的赘肉.所以FJ将她置于一个及其严格的节食计划之中.她每天不能吃多过H (5 <= H & ...

  8. 举枪消灭"烂代码"的实战案例

    前言 之前我写过一篇如何少写PHP "烂"代码 https://segmentfault.com/a/11...感觉很多新人对此不太理解.今天以打卡功能为例,去讲解其中的奥秘.那篇 ...

  9. 面试题:你能写一个Vue的双向数据绑定吗?

    在目前的前端面试中,vue的双向数据绑定已经成为了一个非常容易考到的点,即使不能当场写出来,至少也要能说出原理.本篇文章中我将会仿照vue写一个双向数据绑定的实例,名字就叫myVue吧.结合注释,希望 ...

  10. 联想小新Air 15 安装黑苹果macOS High Sierra 10.13.6过程

    联想小新Air 15 安装黑苹果全过程 本文参考:https://blog.csdn.net/qq_28735663/article/details/80634300 本人是联想小新AIr 15 , ...