FilterBuilders构建过滤器Query

代码如下:
package com.elasticsearch;

import org.elasticsearch.action.ActionListener;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.common.geo.GeoDistance;
import org.elasticsearch.common.unit.DistanceUnit;
import org.elasticsearch.index.query.*; /**
* Created by lw on 14-7-16.
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* elasticsearch以提供了一个完整的Java查询dsl其余查询dsl。
* FilterBuilders工厂构建
* API:
* <a>http://www.elasticsearch.org/guide/en/elasticsearch/client/java-api/current/query-dsl-filters.html</a>
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
public class Es_FilterBuilders_DSL { /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* and Filter
* 一个过滤器匹配文档匹配的布尔组合其他过滤器。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder andFilter() {
return FilterBuilders.andFilter(
FilterBuilders.rangeFilter("age").from(1).to(1000),
FilterBuilders.prefixFilter("name", "葫芦1493")
);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* bool Filter
* 一个过滤器匹配文档匹配的布尔组合其他过滤器。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder boolFilter() {
return FilterBuilders.boolFilter()
.must(FilterBuilders.termFilter("name", "葫芦1493娃"))
.mustNot(FilterBuilders.rangeFilter("age").from(1000).to(3000))
.should(FilterBuilders.termFilter("home", "山西省太原市7077街道"));
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* exists filter
* 一个过滤器来过滤字段唯一字段存在。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder existsFilter() {
return FilterBuilders.existsFilter("home");
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* ids filter
* 创建一个新的id筛选提供 doc/映射类型。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder idsFilter() {
return FilterBuilders.idsFilter(Es_Utils.INDEX_DEMO_01_MAPPING, "type2")
.addIds("SNt0KdNbRdKmXJVaXfNxEA", "UDKtO4o9TgmDHIT4bk_OWw", "jkAZoHe9RWyjxyOnBCTdrw"); // Type is optional
//FilterBuilders.idsFilter().addIds("1", "4", "100");
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* limit filter
* 一个过滤器,用于限制结果提供的极限值(每个shard * 2 )。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder limitFilter() {
return FilterBuilders.limitFilter(2);//返回碎片shard*2 个结果
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* type filter
* 过滤type
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder typeFilter() {
return FilterBuilders.typeFilter(Es_Utils.INDEX_DEMO_01_MAPPING);
} /**
* TODO NotSolved
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* geo bounding box filter
* 定义一个过滤器来过滤基于边界框左上角和右下角的位置/分
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder geoBoundingBoxFilter() {
return FilterBuilders.geoBoundingBoxFilter("pin.location")
.topLeft(40.73, -74.1)
.bottomRight(40.717, -73.99);
} /**
* TODO NotSolved
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* geodistance filter
* 一个过滤器来过滤基于一个特定的距离从一个特定的地理位置/点。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder geoDistanceFilter() {
return FilterBuilders.geoDistanceFilter("pin.location")
.point(40, -70)
.distance(200, DistanceUnit.KILOMETERS)
.optimizeBbox("memory") // Can be also "indexed" or "none"
.geoDistance(GeoDistance.ARC); // Or GeoDistance.PLANE
} /**
* TODO NotSolved
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* geo distance range filter
* 一个过滤器来过滤基于一个特定的范围从一个特定的地理位置/点。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder geoDistanceRangeFilter() {
return FilterBuilders.geoDistanceRangeFilter("pin.location")
.point(40, -70)
.from("200km")
.to("400km")
.includeLower(true)
.includeUpper(false)
.optimizeBbox("memory") // Can be also "indexed" or "none"
.geoDistance(GeoDistance.ARC); // Or GeoDistance.PLANE
} /**
* TODO NotSolved
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* geo polygon filter
* 一个过滤器来过滤基于多边形定义为一组位置/分。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder geoPolygonFilter() {
return FilterBuilders.geoPolygonFilter("pin.location")
.addPoint(40, -70)
.addPoint(30, -80)
.addPoint(20, -90);
} /**
* TODO NotSolved
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* has child / has parent filters
* 构造一个子过滤器,子类型和查询与文档、过滤的结果是父* *文档。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder hasChildFilter() {
// Has Child
FilterBuilders.hasChildFilter("blog_tag",
QueryBuilders.termQuery("tag", "something")); // Has Parent
return FilterBuilders.hasParentFilter("blog",
QueryBuilders.termQuery("tag", "something"));
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* match all filter
* 一个过滤器匹配所有文件。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder matchAllFilter() {
return FilterBuilders.matchAllFilter();
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* missing filter
* 一个过滤器来过滤字段唯一文件不存在。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder missingFilter() {
return FilterBuilders.missingFilter("name")
.existence(true)
.nullValue(true);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* not filter
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder notFilter() {
return FilterBuilders.notFilter(
FilterBuilders.rangeFilter("age").from(1000).to(2000));
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* or filter
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder orFilter() {
return FilterBuilders.orFilter(
FilterBuilders.termFilter("name", "葫芦1493娃"),
FilterBuilders.termFilter("name", "葫芦5083娃")
);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* prefix filter
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder prefixFilter() {
return FilterBuilders.prefixFilter("name", "葫芦5083");
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* query filter
* 一个过滤器,仅包装一个查询。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder queryFilter() {
return FilterBuilders.queryFilter(
QueryBuilders.queryString("name")
);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* range filter
* 过滤器,限制搜索结果值在给定的范围内。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder rangeFilter() {
FilterBuilders.rangeFilter("age")
.from(1000)
.to(2000)
.includeLower(true)
.includeUpper(false); // A simplified form using gte, gt, lt or lte
return FilterBuilders.rangeFilter("age")
.gte(1000)
.lt(2000);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* script filter
* 过滤器基于脚本的构建。
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder scriptFilter() {
return FilterBuilders.scriptFilter(
"doc['age'].value > param1"
).addParam("param1", 1000);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* term filter
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder termFilter() {
return FilterBuilders.termFilter("name", "葫芦5083娃");
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* terms filter
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* The execution option now has the following options :
* <p/>
* plain
* The default. Works as today. Iterates over all the terms, building a bit set matching it, and filtering. The total filter is cached.
* <p/>
* fielddata
* Generates a terms filters that uses the fielddata cache to compare terms.
* This execution mode is great to use when filtering on a field that is already loaded into the fielddata cache from faceting, sorting, or index warmers.
* When filtering on a large number of terms, this execution can be considerably faster than the other modes.
* The total filter is not cached unless explicitly configured to do so.
* <p/>
* bool
* Generates a term filter (which is cached) for each term, and wraps those in a bool filter.
* The bool filter itself is not cached as it can operate very quickly on the cached term filters.
* <p/>
* and
* Generates a term filter (which is cached) for each term, and wraps those in an and filter.
* The and filter itself is not cached.
* <p/>
* or
* Generates a term filter (which is cached) for each term, and wraps those in an or filter.
* The or filter itself is not cached. Generally, the bool execution mode should be preferred.
*/
protected static FilterBuilder termsFilter() {
return FilterBuilders.termsFilter("name", "葫芦5083娃", "葫芦3582娃")
.execution("plain"); // 执行模式 Cane be either "plain", "bool" "and". Defaults to "plain".
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* nested filter
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder nestedFilter() {
return FilterBuilders.nestedFilter("obj1",
QueryBuilders.boolQuery()
.must(QueryBuilders.matchQuery("obj1.name", "blue"))
.must(QueryBuilders.rangeQuery("obj1.count").gt(5))
);
} /**
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* caching
* 缓存 过滤器
* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
*/
protected static FilterBuilder cache() {
return FilterBuilders.andFilter(
FilterBuilders.rangeFilter("age").from(1000).to(9000),
FilterBuilders.prefixFilter("name", "葫芦3582")
)
.cache(true);//默认false
} public static void main(String[] args) {
Es_Utils.startupClient();
try {
searchTest(cache()); } catch (Exception e) {
e.printStackTrace();
} finally {
Es_Utils.shutDownClient();
}
} private static void searchTest(FilterBuilder filterBuilder) {
//预准备执行搜索
Es_Utils.client.prepareSearch(Es_Utils.INDEX_DEMO_01)
.setTypes(Es_Utils.INDEX_DEMO_01_MAPPING)
.setPostFilter(filterBuilder)
.setFrom(0).setSize(20).setExplain(true)
.execute()
//注册监听事件
.addListener(new ActionListener<SearchResponse>() {
@Override
public void onResponse(SearchResponse searchResponse) {
Es_Utils.writeSearchResponse(searchResponse);
} @Override
public void onFailure(Throwable e) { }
});
}
}

  

elasticsearch__5__java操作之FilterBuilders构建过滤器Query的更多相关文章

  1. filterBuilders 构建过滤器query

    FilterBuilders构建过滤器Query package com.elasticsearch; import org.elasticsearch.action.ActionListener; ...

  2. elasticsearch------java操作之QueryBuilders构建搜索Query

    版权声明:本文为非原创文章,出处:http://blog.csdn.net/xiaohulunb/article/details/37877435. elasticsearch 分布式搜索系列专栏:h ...

  3. 【转载】Elasticsearch--java操作之QueryBuilders构建搜索Query

    原文地址:https://www.cnblogs.com/pypua/articles/9459941.html package com.elasticsearch; import org.elast ...

  4. docker的安装及基础操作与镜像构建

    仓库配置及安装启动 [root@localhost ~]# yum install -y yum-utils device-mapper-persistent-data lvm2 [root@loca ...

  5. LINQ 学习路程 -- 查询操作 Deferred Execution of LINQ Query 延迟执行

    延迟执行是指一个表达式的值延迟获取,知道它的值真正用到. 当你用foreach循环时,表达式才真正的执行. 延迟执行有个最重要的好处:它总是给你最新的数据 实现延迟运行 你可以使用yield关键字实现 ...

  6. elastic search book [ ElasticSearch book es book]

    谁在使用ELK 维基百科, github都使用 ELK (ElasticSearch es book) ElasticSearch入门 Elasticsearch入门,这一篇就够了==>http ...

  7. Query DSL for elasticsearch Query

    Query DSL Query DSL (资料来自: http://www.elasticsearch.cn/guide/reference/query-dsl/) http://elasticsea ...

  8. (转)通过HTTP RESTful API 操作elasticsearch搜索数据

    样例数据集 这是编造的JSON格式银行客户账号信息文档,文档schema如下: { “account_number”: 0, “balance”: 16623, “firstname”: “Brads ...

  9. 【翻译】MongoDB指南/CRUD操作(一)

    [原文地址]https://docs.mongodb.com/manual/ MongoDB CRUD操作(一) 主要内容:CRUD操作简介,插入文档,查询文档. CRUD操作包括创建.读取.更新和删 ...

随机推荐

  1. Hilbert-Huang Transform(希尔伯特-黄变换)

    在我们正式开始讲解Hilbert-Huang Transform之前,不妨先来了解一下这一伟大算法的两位发明人和这一算法的应用领域 Section I 人物简介 希尔伯特:公认的数学界“无冕之王”,1 ...

  2. KVM安装部署

    KVM安装部署 公司开始部署KVM,KVM的全称是kernel base virtual machine,对KVM虚拟化技术研究了一段时间, KVM是基于硬件的完全虚拟化,跟vmware.xen.hy ...

  3. Nodejs之MEAN栈开发(六)---- 用Angular创建单页应用(上)

    在上一节中我们学会了如何在页面中添加一个组件以及一些基本的Angular知识,而这一节将用Angular来创建一个单页应用(SPA).这意味着,取代我们之前用Express在服务端运行整个网站逻辑的方 ...

  4. 带进度条的文件批量上传插件uploadify

    有时项目中需要一个文件批量上传功能时,个人认为uploadify是快速简便的解决方案. 先上效果图: 一. 下载uploadify 从官网下载uploadify的Flash版本(Flash版本免费,另 ...

  5. 全局唯一ID设计

    在分布式系统中,经常需要使用全局唯一ID查找对应的数据.产生这种ID需要保证系统全局唯一,而且要高性能以及占用相对较少的空间. 全局唯一ID在数据库中一般会被设成主键,这样为了保证数据插入时索引的快速 ...

  6. 升级xcode8 之后遇到的一些问题

    昨天趁着快下班,就将xcode升级为8了,运行起来并没有什么问题,今天一早过来运行,结果,模拟器打不开了.... 1. unable to boot the Simulator 解决办法:重启Mac时 ...

  7. 游戏服务器菜鸟之C#初探三游戏服务

    在经过上述2番折腾之后,最后决定使用TCP进行通信,所以在一次进行重构 主要重构的要点 1.将过来的HTPP请求,重构为TCP请求: 2.使用组件FluenScheduler进行怪物的定时刷新,和定时 ...

  8. Android Studio 入门

    本文适用于从Eclipse转AndroidStudio的开发者 最近打算写一个系列的android初级开发教程,预计40篇以上的文章,结合我实际工作中的经验,写一些工作中经常用到的技术,让初学者可以少 ...

  9. [SQL] SQL 基础知识梳理(一)- 数据库与 SQL

    SQL 基础知识梳理(一)- 数据库与 SQL [博主]反骨仔 [原文地址]http://www.cnblogs.com/liqingwen/p/5902856.html 目录 What's 数据库 ...

  10. 使用OAuth、Identity创建WebApi认证接口供客户端调用

    前言 现在的web app基本上都是前后端分离,之前接触的大部分应用场景最终产品都是部署在同一个站点下,那么随着WebApi(Restful api)的发展前后端实现的完全分离,前端不在后端框架的页面 ...