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<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, 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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版权声明：本文为CSDN博主「xiaozm1223」的原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/xiaozm1223/article/details/89210295