elasticsearch基本操作之--使用QueryBuilders进行查询

/**

* 系统环境: vm12 下的centos 7.2

* 当前安装版本: elasticsearch-2.4.0.tar.gz

*/

QueryBuilder 是es中提供的一个查询接口, 可以对其进行参数设置来进行查用擦还训

package com.wenbronk.javaes;

import java.net.InetSocketAddress;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.Map.Entry;

import org.elasticsearch.action.ListenableActionFuture;
import org.elasticsearch.action.get.GetRequestBuilder;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.common.transport.InetSocketTransportAddress;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.IndicesQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.QueryStringQueryBuilder;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.index.query.SpanFirstQueryBuilder;
import org.elasticsearch.index.query.WildcardQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.junit.Before;
import org.junit.Test;

/**
 * java操作查询api
 * @author 231
 *
 */
public class JavaESQuery {

    private TransportClient client;

    @Before
    public void testBefore() {
        Settings settings = Settings.settingsBuilder().put("cluster.name", "wenbronk_escluster").build();
        client = TransportClient.builder().settings(settings).build()
                 .addTransportAddress(new InetSocketTransportAddress(new InetSocketAddress("192.168.50.37", 9300)));
        System.out.println("success to connect escluster");
    }

    /**
     * 使用get查询
     */
    @Test
    public void testGet() {
        GetRequestBuilder requestBuilder = client.prepareGet("twitter", "tweet", "1");
        GetResponse response = requestBuilder.execute().actionGet();
        GetResponse getResponse = requestBuilder.get();
        ListenableActionFuture<GetResponse> execute = requestBuilder.execute();
        System.out.println(response.getSourceAsString());
    }

    /**
     * 使用QueryBuilder
     * termQuery("key", obj) 完全匹配
     * termsQuery("key", obj1, obj2..)   一次匹配多个值
     * matchQuery("key", Obj) 单个匹配, field不支持通配符, 前缀具高级特性
     * multiMatchQuery("text", "field1", "field2"..);  匹配多个字段, field有通配符忒行
     * matchAllQuery();         匹配所有文件
     */
    @Test
    public void testQueryBuilder() {
//        QueryBuilder queryBuilder = QueryBuilders.termQuery("user", "kimchy");
　　　　　　QueryBUilder queryBuilder = QueryBuilders.termQuery("user", "kimchy", "wenbronk", "vini");
        QueryBuilders.termsQuery("user", new ArrayList<String>().add("kimchy"));
//        QueryBuilder queryBuilder = QueryBuilders.matchQuery("user", "kimchy");
//        QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("kimchy", "user", "message", "gender");
        QueryBuilder queryBuilder = QueryBuilders.matchAllQuery();
        searchFunction(queryBuilder);

    }

    /**
     * 组合查询
     * must(QueryBuilders) :   AND
     * mustNot(QueryBuilders): NOT
     * should:                  : OR
     */
    @Test
    public void testQueryBuilder2() {
        QueryBuilder queryBuilder = QueryBuilders.boolQuery()
            .must(QueryBuilders.termQuery("user", "kimchy"))
            .mustNot(QueryBuilders.termQuery("message", "nihao"))
            .should(QueryBuilders.termQuery("gender", "male"));
        searchFunction(queryBuilder);
    }

    /**
     * 只查询一个id的
     * QueryBuilders.idsQuery(String...type).ids(Collection<String> ids)
     */
    @Test
    public void testIdsQuery() {
        QueryBuilder queryBuilder = QueryBuilders.idsQuery().ids("1");
        searchFunction(queryBuilder);
    }

    /**
     * 包裹查询, 高于设定分数, 不计算相关性
     */
    @Test
    public void testConstantScoreQuery() {
        QueryBuilder queryBuilder = QueryBuilders.constantScoreQuery(QueryBuilders.termQuery("name", "kimchy")).boost(2.0f);
        searchFunction(queryBuilder);
        // 过滤查询
//        QueryBuilders.constantScoreQuery(FilterBuilders.termQuery("name", "kimchy")).boost(2.0f);

    }

    /**
     * disMax查询
     * 对子查询的结果做union, score沿用子查询score的最大值,
     * 广泛用于muti-field查询
     */
    @Test
    public void testDisMaxQuery() {
        QueryBuilder queryBuilder = QueryBuilders.disMaxQuery()
            .add(QueryBuilders.termQuery("user", "kimch"))  // 查询条件
            .add(QueryBuilders.termQuery("message", "hello"))
            .boost(1.3f)
            .tieBreaker(0.7f);
        searchFunction(queryBuilder);
    }

    /**
     * 模糊查询
     * 不能用通配符, 不知道干啥用
     */
    @Test
    public void testFuzzyQuery() {
        QueryBuilder queryBuilder = QueryBuilders.fuzzyQuery("user", "kimch");
        searchFunction(queryBuilder);
    }

    /**
     * 父或子的文档查询
     */
    @Test
    public void testChildQuery() {
        QueryBuilder queryBuilder = QueryBuilders.hasChildQuery("sonDoc", QueryBuilders.termQuery("name", "vini"));
        searchFunction(queryBuilder);
    }

    /**
     * moreLikeThisQuery: 实现基于内容推荐, 支持实现一句话相似文章查询
     * {
        "more_like_this" : {
        "fields" : ["title", "content"],   // 要匹配的字段, 不填默认_all
        "like_text" : "text like this one",   // 匹配的文本
        }
    }     

    percent_terms_to_match：匹配项（term）的百分比，默认是0.3

    min_term_freq：一篇文档中一个词语至少出现次数，小于这个值的词将被忽略，默认是2

    max_query_terms：一条查询语句中允许最多查询词语的个数，默认是25

    stop_words：设置停止词，匹配时会忽略停止词

    min_doc_freq：一个词语最少在多少篇文档中出现，小于这个值的词会将被忽略，默认是无限制

    max_doc_freq：一个词语最多在多少篇文档中出现，大于这个值的词会将被忽略，默认是无限制

    min_word_len：最小的词语长度，默认是0

    max_word_len：最多的词语长度，默认无限制

    boost_terms：设置词语权重，默认是1

    boost：设置查询权重，默认是1

    analyzer：设置使用的分词器，默认是使用该字段指定的分词器
     */
    @Test
    public void testMoreLikeThisQuery() {
        QueryBuilder queryBuilder = QueryBuilders.moreLikeThisQuery("user")
                            .like("kimchy");
//                            .minTermFreq(1)         //最少出现的次数
//                            .maxQueryTerms(12);        // 最多允许查询的词语
        searchFunction(queryBuilder);
    }

    /**
     * 前缀查询
     */
    @Test
    public void testPrefixQuery() {
        QueryBuilder queryBuilder = QueryBuilders.matchQuery("user", "kimchy");
        searchFunction(queryBuilder);
    }

    /**
     * 查询解析查询字符串
     */
    @Test
    public void testQueryString() {
        QueryBuilder queryBuilder = QueryBuilders.queryStringQuery("+kimchy");
        searchFunction(queryBuilder);
    }

    /**
     * 范围内查询
     */
    public void testRangeQuery() {
        QueryBuilder queryBuilder = QueryBuilders.rangeQuery("user")
            .from("kimchy")
            .to("wenbronk")
            .includeLower(true)     // 包含上界
            .includeUpper(true);      // 包含下届
        searchFunction(queryBuilder);
    }

    /**
     * 跨度查询
     */
    @Test
    public void testSpanQueries() {
         QueryBuilder queryBuilder1 = QueryBuilders.spanFirstQuery(QueryBuilders.spanTermQuery("name", "葫芦580娃"), 30000);     // Max查询范围的结束位置  

         QueryBuilder queryBuilder2 = QueryBuilders.spanNearQuery()
                .clause(QueryBuilders.spanTermQuery("name", "葫芦580娃")) // Span Term Queries
                .clause(QueryBuilders.spanTermQuery("name", "葫芦3812娃"))
                .clause(QueryBuilders.spanTermQuery("name", "葫芦7139娃"))
                .slop(30000)                                               // Slop factor
                .inOrder(false)
                .collectPayloads(false);  

        // Span Not
         QueryBuilder queryBuilder3 = QueryBuilders.spanNotQuery()
                .include(QueryBuilders.spanTermQuery("name", "葫芦580娃"))
                .exclude(QueryBuilders.spanTermQuery("home", "山西省太原市2552街道"));  

        // Span Or
         QueryBuilder queryBuilder4 = QueryBuilders.spanOrQuery()
                .clause(QueryBuilders.spanTermQuery("name", "葫芦580娃"))
                .clause(QueryBuilders.spanTermQuery("name", "葫芦3812娃"))
                .clause(QueryBuilders.spanTermQuery("name", "葫芦7139娃"));  

        // Span Term
         QueryBuilder queryBuilder5 = QueryBuilders.spanTermQuery("name", "葫芦580娃");
    }

    /**
     * 测试子查询
     */
    @Test
    public void testTopChildrenQuery() {
        QueryBuilders.hasChildQuery("tweet",
                QueryBuilders.termQuery("user", "kimchy"))
            .scoreMode("max");
    }

    /**
     * 通配符查询, 支持 *
     * 匹配任何字符序列, 包括空
     * 避免* 开始, 会检索大量内容造成效率缓慢
     */
    @Test
    public void testWildCardQuery() {
        QueryBuilder queryBuilder = QueryBuilders.wildcardQuery("user", "ki*hy");
        searchFunction(queryBuilder);
    }

    /**
     * 嵌套查询, 内嵌文档查询
     */
    @Test
    public void testNestedQuery() {
        QueryBuilder queryBuilder = QueryBuilders.nestedQuery("location",
                QueryBuilders.boolQuery()
                    .must(QueryBuilders.matchQuery("location.lat", 0.962590433140581))
                    .must(QueryBuilders.rangeQuery("location.lon").lt(36.0000).gt(0.000)))
        .scoreMode("total");

    }

    /**
     * 测试索引查询
     */
    @Test
    public void testIndicesQueryBuilder () {
        QueryBuilder queryBuilder = QueryBuilders.indicesQuery(
                QueryBuilders.termQuery("user", "kimchy"), "index1", "index2")
                .noMatchQuery(QueryBuilders.termQuery("user", "kimchy"));

    }

    /**
     * 查询遍历抽取
     * @param queryBuilder
     */
    private void searchFunction(QueryBuilder queryBuilder) {
        SearchResponse response = client.prepareSearch("twitter")
                .setSearchType(SearchType.DFS_QUERY_THEN_FETCH)
                .setScroll(new TimeValue(60000))
                .setQuery(queryBuilder)
                .setSize(100).execute().actionGet();

        while(true) {
            response = client.prepareSearchScroll(response.getScrollId())
                .setScroll(new TimeValue(60000)).execute().actionGet();
            for (SearchHit hit : response.getHits()) {
                Iterator<Entry<String, Object>> iterator = hit.getSource().entrySet().iterator();
                while(iterator.hasNext()) {
                    Entry<String, Object> next = iterator.next();
                    System.out.println(next.getKey() + ": " + next.getValue());
                    if(response.getHits().hits().length == 0) {
                        break;
                    }
                }
            }
            break;
        }
//        testResponse(response);
    }

    /**
     * 对response结果的分析
     * @param response
     */
    public void testResponse(SearchResponse response) {
        // 命中的记录数
        long totalHits = response.getHits().totalHits();

        for (SearchHit searchHit : response.getHits()) {
            // 打分
            float score = searchHit.getScore();
            // 文章id
            int id = Integer.parseInt(searchHit.getSource().get("id").toString());
            // title
            String title = searchHit.getSource().get("title").toString();
            // 内容
            String content = searchHit.getSource().get("content").toString();
            // 文章更新时间
            long updatetime = Long.parseLong(searchHit.getSource().get("updatetime").toString());
        }
    }

    /**
     * 对结果设置高亮显示
     */
    public void testHighLighted() {
        /*  5.0 版本后的高亮设置
         * client.#().#().highlighter(hBuilder).execute().actionGet();
        HighlightBuilder hBuilder = new HighlightBuilder();
        hBuilder.preTags("<h2>");
        hBuilder.postTags("</h2>");
        hBuilder.field("user");        // 设置高亮显示的字段
        */
        // 加入查询中
        SearchResponse response = client.prepareSearch("blog")
            .setQuery(QueryBuilders.matchAllQuery())
            .addHighlightedField("user")        // 添加高亮的字段
            .setHighlighterPreTags("<h1>")
            .setHighlighterPostTags("</h1>")
            .execute().actionGet();

        // 遍历结果, 获取高亮片段
        SearchHits searchHits = response.getHits();
        for(SearchHit hit:searchHits){
            System.out.println("String方式打印文档搜索内容:");
            System.out.println(hit.getSourceAsString());
            System.out.println("Map方式打印高亮内容");
            System.out.println(hit.getHighlightFields());

            System.out.println("遍历高亮集合，打印高亮片段:");
            Text[] text = hit.getHighlightFields().get("title").getFragments();
            for (Text str : text) {
                System.out.println(str.string());
            }
        }
    }
}

转自：http://www.cnblogs.com/wenbronk/p/6432990.html

时间： 2024-08-25 03:01:36

elasticsearch基本操作之--使用QueryBuilders进行查询的相关文章

数据库基本操作（二）--数据查询

//数据查询 create database JXGL; //创建数据库 use JXGL;//使用数据库 create table S( Sno char(10) not null unique, Sname char(20) not null unique, Ssex char(2), Sage int, Sdept char(20)); create table C( Cno char(2) not  null primary key (Cno), Cname char(20), Teac

Elasticsearch+Hbase实现海量数据秒回查询

---------------------------------------------------------------------------------------------[版权申明:本文系作者原创,转载请注明出处] 文章出处:http://blog.csdn.net/sdksdk0/article/details/53966430作者:朱培      ID:sdksdk0 ------------------------------------------------------

ElasticSearch（七）--请求体查询

简单查询lite search (字符串查询)是一种有效的命令行ad hoc 查询,但是想要善用搜索,必须使用请求体查询request  body search API．之所以这么称呼,是因为大多数的参数以JSON格式所容纳,而不是查询字符串． 请求体查询不但可以处理查询,而且还可以高亮返回结果中的片段． 1.空查询 GET _search {} 同字符串查询一样,你可以查询一个,或多个索引及类型 GET /index_2014*/type1,type2/_search {} 也可以使用from

ElasticSearch 嵌套映射和过滤器及查询

ElasticSearch - 嵌套映射和过滤器 Because nested objects are indexed as separate hidden documents, we can’t query them directly. Instead, we have to use the nested query to access them: GET /my_index/blogpost/_search { "query": { "bool": { &quo

[Elasticsearch] 多字段搜索 (三) - multi_match查询和多数字段

multi_match查询 multi_match查询提供了一个简便的方法用来对多个字段执行相同的查询. NOTE 存在几种类型的multi_match查询,其中的3种正好和在"了解你的数据"一节中提到的几种类型相同:best_fields,most_fields以及cross_fields. 默认情况下,该查询以best_fields类型执行,它会为每个字段生成一个match查询,然后将这些查询包含在一个dis_max查询中.下面的dis_max查询: { "dis_max

[Elasticsearch] 全文搜索 (二) - 多词查询及查询的合并

多词查询(Multi-word Queries) 如果我们一次只能搜索一个词,那么全文搜索就会显得相当不灵活.幸运的是,通过match查询来实现多词查询也同样简单: GET /my_index/my_type/_search { "query": { "match": { "title": "BROWN DOG!" } } } 以上的查询会返回所有的四份文档: { "hits": [ { "_id

elasticsearch 基本操作

转自: https://blog.csdn.net/lu_wei_wei/article/details/51205943 Elasticsearch在linux下使用命令sh elasticsearch start,按键ctrl+c的时候程序就会stop掉,如何将程序在后台启动呢? 需要使用:./elasticsearch -d 这时执行的时候会出现没有权限./elasticsearch: Permission denied 需要授权执行命令:chmod +x bin/elasticsearc

ElasticSearch简介（二）——简单查询

返回所有记录 使用 GET 方法,直接请求/Index/_search,就会返回所有记录. GET /accounts/_search{????"took": 683,????"timed_out": false,????"_shards": {????????"total": 1,????????"successful": 1,????????"skipped": 0,????????

mysql 基本操作-去重、取字段名、查询表达式、常量等和+号

查询常量值 SELECT 100; #显示常量值 SELECT 'bitch'; #显示字符串常量,用单引号 查询表达式 SELECT 100*99; SELECT 100%99; 查询函数 SELECT VERSION(); 为字段起别名 SELECT 100*99 AS 结果; #为字段起名为结果,可加单引号可不加 SELECT last_name AS 姓,first_name AS 名 FROM employees; #为多个字段起名 SELECT last_name 姓 FROM em