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. MonoDevelop 4.0.9 on CentOS 6.3 安装笔记

    前言 Mono的前东家Novell公司旗下的SUSE Linux系列对Mono及MonoDevelop提供内置支持,所以在SUSE/OpenSUSE这些Linux系统中安装MonoDevelop是非常 ...

  2. Jvm --- 常用工具

    jps:虚拟机进程状况工具 JVM Process Status Tool. 可以列出所有目前正在运行虚拟机的进程. jps -l 详细参数: -q 输出LVMID,省略主类名称 -m 输出虚拟机进程 ...

  3. 简单的例子了解自定义ViewGroup(一)

    在Android中,控件可以分为ViewGroup控件与View控件.自定义View控件,我之前的文章已经说过.这次我们主要说一下自定义ViewGroup控件.ViewGroup是作为父控件可以包含多 ...

  4. linux安装mvn后提示权限不够

    Maven - 环境配置 Maven 是一个基于 Java 的工具,所以要做的第一件事情就是安装 JDK. 系统要求 项目 要求 JDK Maven 3.3 要求 JDK 1.7 或以上Maven 3 ...

  5. ElasticSearch 5学习(5)——第一个例子(很实用)

    想要知道ElasticSearch是如何使用的,最快的方式就是通过一个简单的例子,第一个例子将会包括基本概念如索引.搜索.和聚合等,需求是关于公司管理员工的一些业务. 员工文档索引 业务首先需要存储员 ...

  6. ASP.NET MVC5+EF6+EasyUI 后台管理系统(33)-MVC 表单验证

    系列目录 注:本节阅读需要有MVC 自定义验证的基础,否则比较吃力 一直以来表单的验证都是不可或缺的,微软的东西还是做得比较人性化的,从webform到MVC,都做到了双向验证 单单的用js实现的前端 ...

  7. 别语言之争了,最牛逼的语言不是.NET,也不是JAVA!

    谁都不用说,博客园明显的偏.NET,C#的讨论一出现,推荐讨论热火朝天,而发点JAVA的东西,应者寥寥.一旦有出现两大派系的竞争,那绝对是头条.每天都看,早就麻木了. 研二的我浸淫.NET已经三四年, ...

  8. WebGIS中快速整合管理多源矢量服务以及服务权限控制的一种设计思路

    文章版权由作者李晓晖和博客园共有,若转载请于明显处标明出处:http://www.cnblogs.com/naaoveGIS/ 1.背景 在真实项目中,往往GIS服务数据源被其他多个信息中心或者第三方 ...

  9. 记一次nginx部署yii2项目时502 bad gateway错误的排查

    周六闲来无事,就试着安装和部署下yii2,安装过程没什么问题,但部署到nginx上时遇到了502 bad gatewary问题,折腾了半天才搞定.这个问题是我以前在部署yii2时没有遇到过的,因此记在 ...

  10. 使用Beautiful Soup编写一个爬虫 系列随笔汇总

    这几篇博文只是为了记录学习Beautiful Soup的过程,不仅方便自己以后查看,也许能帮到同样在学习这个技术的朋友.通过学习Beautiful Soup基础知识 完成了一个简单的爬虫服务:从all ...