es内嵌文档查询_es查询 - zeenzhou - 博客园

package com.xzm.es;

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;

/**

* 查询条件构造方法

* @author xiaozm

public class ESQueryCondition {

/**

* 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().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 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, 找到相似的

@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 tes

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原文链接：https://blog.csdn.net/xiaozm1223/article/details/89210295

原文链接：https://blog.csdn.net/weixin_39580041/article/details/111741511