首页 > 编程语言 >Java API之查询文档

Java API之查询文档

时间：2024-04-17 19:44:45浏览次数：15  
标签：search Java System API 文档 elasticsearch import org out

1、查询指定id文档

import org.elasticsearch.action.get.GetRequest;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.client.RequestOptions;
import org.util.ConnectElasticsearch;

public class GetDoc {

    public static void main(String[] args) {
        ConnectElasticsearch.connect(client -> {
            //1.创建请求对象
            GetRequest request = new GetRequest().index("user").id("1001");
            //2.客户端发送请求，获取响应对象
            GetResponse response = client.get(request, RequestOptions.DEFAULT);
            //3.打印结果信息
            System.out.println("_index:" + response.getIndex());
            System.out.println("_type:" + response.getType());
            System.out.println("_id:" + response.getId());
            System.out.println("source:" + response.getSourceAsString());
        });
    }
}

输出如下：

 

2、查询所有文档

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.util.ConnectElasticsearch;

public class QueryAllDoc {

    public static void main(String[] args) {
        ConnectElasticsearch.connect(client -> {
            // 创建搜索请求对象
            SearchRequest request = new SearchRequest();
            request.indices("user");
            // 构建查询的请求体
            SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
            // 查询所有数据
            sourceBuilder.query(QueryBuilders.matchAllQuery());
            request.source(sourceBuilder);
            SearchResponse response = client.search(request, RequestOptions.DEFAULT);
            // 查询匹配
            SearchHits hits = response.getHits();
            System.out.println("took:" + response.getTook());
            System.out.println("timeout:" + response.isTimedOut());
            System.out.println("total:" + hits.getTotalHits());
            System.out.println("MaxScore:" + hits.getMaxScore());
            System.out.println("hits========>>");
            for (SearchHit hit : hits) {
                //输出每条查询的结果信息
                System.out.println(hit.getSourceAsString());
            }
            System.out.println("<<========");
        });
    }

}

输出如下：

 

3、条件查询

import com.lun.elasticsearch.hello.ConnectElasticsearch;
import com.lun.elasticsearch.hello.ElasticsearchTask;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;

public class QueryDoc {
    
    public static final ElasticsearchTask SEARCH_BY_CONDITION = client -> {
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.termQuery("age", "30"));
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");
    };
    
    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_BY_CONDITION);
    }
}

输出如下：

 

4、分页查询

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_BY_PAGING = client -> {
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchAllQuery());
        // 分页查询
        // 当前页其实索引(第一条数据的顺序号)， from
        sourceBuilder.from(0);

        // 每页显示多少条 size
        sourceBuilder.size(2);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");
    };

    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_BY_PAGING);
    }
}

输出如下：

 

5、查询排序

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_WITH_ORDER = client -> {
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");

        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchAllQuery());
        // 排序
        sourceBuilder.sort("age", SortOrder.ASC);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");
    };

    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_WITH_ORDER);
    }
}

输出如下：

 

6、组合查询

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_BY_BOOL_CONDITION = client -> {
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        // 必须包含
        boolQueryBuilder.must(QueryBuilders.matchQuery("age", "30"));
        // 一定不含
        boolQueryBuilder.mustNot(QueryBuilders.matchQuery("name", "zhangsan"));
        // 可能包含
        boolQueryBuilder.should(QueryBuilders.matchQuery("sex", "男"));
        sourceBuilder.query(boolQueryBuilder);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");

    };

    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_BY_BOOL_CONDITION);
    }
}

输出如下：

 

7、范围查询

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_BY_RANGE = client -> {
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("age");
        // 大于等于
        //rangeQuery.gte("30");
        // 小于等于
        rangeQuery.lte("40");
        sourceBuilder.query(rangeQuery);
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");
    };

    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_BY_RANGE);
    }
}

输出如下：

 

8、模糊查询（Fuzzy相似单词）

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.common.unit.Fuzziness;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_BY_FUZZY_CONDITION = client -> {
        // 创建搜索请求对象
        SearchRequest request = new SearchRequest();
        request.indices("user");
        // 构建查询的请求体
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.fuzzyQuery("name","wangwu").fuzziness(Fuzziness.ONE));
        request.source(sourceBuilder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        // 查询匹配
        SearchHits hits = response.getHits();
        System.out.println("took:" + response.getTook());
        System.out.println("timeout:" + response.isTimedOut());
        System.out.println("total:" + hits.getTotalHits());
        System.out.println("MaxScore:" + hits.getMaxScore());
        System.out.println("hits========>>");
        for (SearchHit hit : hits) {
            //输出每条查询的结果信息
            System.out.println(hit.getSourceAsString());
        }
        System.out.println("<<========");
    };


    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_BY_FUZZY_CONDITION);
    }
}

输出如下：

 

8、高亮查询

package org.example;

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.TermsQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

import java.util.Map;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_WITH_HIGHLIGHT = client -> {
        // 高亮查询
        SearchRequest request = new SearchRequest().indices("user");
        //2.创建查询请求体构建器
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        //构建查询方式：高亮查询
        TermsQueryBuilder termsQueryBuilder =
                QueryBuilders.termsQuery("name","zhangsan");
        //设置查询方式
        sourceBuilder.query(termsQueryBuilder);
        //构建高亮字段
        HighlightBuilder highlightBuilder = new HighlightBuilder();
        highlightBuilder.preTags("<font color='red'>");//设置标签前缀
        highlightBuilder.postTags("</font>");//设置标签后缀
        highlightBuilder.field("name");//设置高亮字段
        //设置高亮构建对象
        sourceBuilder.highlighter(highlightBuilder);
        //设置请求体
        request.source(sourceBuilder);
        //3.客户端发送请求，获取响应对象
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        //4.打印响应结果
        SearchHits hits = response.getHits();
        System.out.println("took::"+response.getTook());
        System.out.println("time_out::"+response.isTimedOut());
        System.out.println("total::"+hits.getTotalHits());
        System.out.println("max_score::"+hits.getMaxScore());
        System.out.println("hits::::>>");
        for (SearchHit hit : hits) {
            String sourceAsString = hit.getSourceAsString();
            System.out.println(sourceAsString);
            //打印高亮结果
            Map<String, HighlightField> highlightFields = hit.getHighlightFields();
            System.out.println(highlightFields);
        }
        System.out.println("<<::::");
    };


    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_WITH_HIGHLIGHT);
    }
}

输出如下：

 

9、聚合查询

9.1、查询最大值

package org.example;

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_WITH_MAX = client -> {
        // 高亮查询
        SearchRequest request = new SearchRequest().indices("user");
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.aggregation(AggregationBuilders.max("maxAge").field("age"));
        //设置请求体
        request.source(sourceBuilder);
        //3.客户端发送请求，获取响应对象
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        //4.打印响应结果
        SearchHits hits = response.getHits();
        System.out.println(response);
    };

    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_WITH_MAX);
    }
}

输出如下：

 

9.2、分组求数量

import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.util.ConnectElasticsearch;
import org.util.ElasticsearchTask;

public class QueryDoc {

    public static final ElasticsearchTask SEARCH_WITH_GROUP = client -> {
        SearchRequest request = new SearchRequest().indices("user");
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.aggregation(AggregationBuilders.terms("age_groupby").field("age"));
        //设置请求体
        request.source(sourceBuilder);
        //3.客户端发送请求，获取响应对象
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        //4.打印响应结果
        SearchHits hits = response.getHits();
        System.out.println(response);
    };

    public static void main(String[] args) {
        ConnectElasticsearch.connect(SEARCH_WITH_GROUP);
    }
}

输出如下：

 

标签：search,Java,System,API,文档,elasticsearch,import,org,out
From： https://www.cnblogs.com/wenxuehai/p/18141592

相关文章

  • JavaFx项目打包成exe，并集成Jre，使Java项目在任意机器运行
    1.关键点：通过springboot打包插件，将项目依赖都打到一个jar包内。以下是pom配置文件：<build><plugins><plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-compiler-plugin</artif......
  • java多渠道消息推送-（微信公众号、钉钉、邮箱、系统内部、短信等）
    1.消息对象定义1.1 通用消息对象定义packagecom.yj.notice.message;importcom.yj.commons.tools.utils.DateUtils;importcom.yj.commons.tools.utils.StringUtil;importcom.yj.notice.costant.NoticeMethodEnum;importlombok.AllArgsConstructor;importlombok.Bu......
  • Go 单元测试之HTTP请求与API测试
    目录一、httptest1.1前置代码准备1.2介绍1.3基本用法二、gock2.1介绍2.2安装2.3基本使用2.4举个例子2.4.1前置代码2.4.2测试用例一、httptest1.1前置代码准备假设我们的业务逻辑是搭建一个httpserver端，对外提供HTTP服务。用来处理用户登录请求，用户需要输入邮箱，密码。......
  • tomcat启动指定java版本
    linux上已经配置jdk1.8为全局变量，但是tomcat运行需要指定jdk11。那么我们在不影响全局JAVA_HOME变量的时候，需直接指定JAVA_HOME即可。[rootapache-tomcat-8.5.87]#java-versionjavaversion"1.8.0_211"Java(TM)SERuntimeEnvironment(build1.8.0_211-b12)JavaHotSpo......
  • SQL语法错误-java.sql.SQLSyntaxErrorException: You have an error in your SQL synt
    频繁爆出这样的错误：java.sql.SQLSyntaxErrorException:YouhaveanerrorinyourSQLsyntax;checkthemanualthatcorrespondstoyourMySQLserverversionfortherightsyntaxtousenear''atline1查阅了许多资料后，我怀疑报错可能与字段名不小心用了关键字有关......
  • java使用监听统计网站信息，并获取session中对应的ip
    用javalistener统计在线人数，并获取session中对应的ip在web.xml中添加。注意放到<listener><listener-class>org.springframework.web.context.ContextLoaderListener</listener-class></listener>spring监听器之后，否则会报错<listener><listener-class>com.......
  • java多线程 读取list--动态读取list
    java多线程读取list--动态读取list的案例 本次介绍，我使用的是synchronized同步代码块的关键字来读取list，在写java多线程时，一定要注意synchronized关键字的有效范围。ps:如果synchronized关键字的代码块范围太大，可能会导致优先获取到cpu资源的第一个线程在满足条件的情......
  • java多线程 读取变量同步安全的案例
    本次介绍，我使用的是synchronized同步代码块的关键字来读取list，在写java多线程时，一定要注意synchronized关键字的有效范围。ps:如果synchronized关键字的代码块范围太大，可能会导致优先获取到cpu资源的第一个线程在满足条件的情况下一直无法跳循环，从而使得其他线程无法给获......
  • Java登陆第四十三天——Pinia
    到目前一共学习了两种传参方式。 1.组件传参 2.路由传参这两种传参方式并不好用，所以出现了PiniaPinia平替了Vuex，而且比它更优秀。Pinia是Vue衍生的生态系统之一，所以，在使用它前需要导入依赖。npmipinia简单地说，Pinia就是共享数据。各个.vue组件可以利用Pinia更好的完成......
  • Spring API DOC未授权访问/SpringBoot Actuator 未授权访问测试方法
    插件安装需要先安装并配置java环境，然后在burpsuite中安装apikit插件 工具扫描1）在BurpSuite中抓取请求：你将在BurpSuite中的`Proxy`标签的`HTTPhistory`中看到所有通过代理发送的请求。2）使用APIkit进行测试：在BurpSuite中，发送想要测试的请求选择**DoAutoAPIscan**来发......

赞助商

阅读排行

网站主页关于我们联系我们网站地图

本网站内容转载自其他媒体，侵权联系[admin##ips99.com]。

Copyright © 2020-2023 IPS99 版权所有 IPS99