接上一篇,本章說下ES查詢相關
實體類,繼承JPA、配置文件,maven引用見上一節
下面是一個基礎的非聚合查詢
package com.study.elasticsearch;
import java.util.List;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.QueryStringQueryBuilder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.domain.Page;
import org.springframework.data.domain.PageRequest;
import org.springframework.data.elasticsearch.core.query.NativeSearchQuery;
import org.springframework.data.elasticsearch.core.query.NativeSearchQueryBuilder;
import org.springframework.web.bind.annotation.GetMapping;
public class EsSelect {
@Autowired
private EsRepository esRepository;
// @Autowired
// private ElasticsearchTemplate elasticsearchTemplate;
@GetMapping("select")
public List<Domain> select(String id, String txt) {
//1.創建QueryBuilder(即設置查詢條件)這兒創建的是組合查詢(也叫多條件查詢),後面會介紹更多的查詢方法
/*
* 組合查詢BoolQueryBuilder must(QueryBuilders) 對應SQL中的 AND; mustNot(QueryBuilders)
* 對應SQL中的 NOT should: 對應SQL中的 OR
*/
BoolQueryBuilder builder = QueryBuilders.boolQuery();
//設置模糊搜索 這裏的matchPhraseQuery代表精確查詢,同樣使用matchQuery也可以,matchPhrasePrefixQuery代表的是模糊查詢
builder.should(QueryBuilders.matchPhrasePrefixQuery("text", txt));
//設置要查詢的含有關鍵字
builder.should(new QueryStringQueryBuilder("id").field(id));
//設置分頁(從第一頁開始,一頁顯示10條)
//注意開始是從0開始,有點類似sql中的方法limit 的查詢
PageRequest page1 = new PageRequest(0, 10);
//2.構建查詢
NativeSearchQueryBuilder nativeSearchQueryBuilder = new NativeSearchQueryBuilder();
//將搜索條件設置到構建中
nativeSearchQueryBuilder.withQuery(builder);
//將分頁設置到構建中
nativeSearchQueryBuilder.withPageable(page1);
//將排序設置到構建中
// nativeSearchQueryBuilder.withSort(sort);
//生產NativeSearchQuery
NativeSearchQuery query = nativeSearchQueryBuilder.build();
//3.執行方法1
Page<Domain> page = esRepository.search(query);
//執行方法2:注意,這兒執行的時候還有個方法那就是使用elasticsearchTemplate
//執行方法2的時候需要加上註解
// List<Domain> blogList = elasticsearchTemplate.queryForList(query, Domain.class);
//4.獲取總條數(用於前端分頁)
int total = (int) page.getTotalElements();
System.out.println("總數:" + total);
//5.獲取查詢到的數據內容(返回給前端)
List<Domain> content = page.getContent();
return content;
}
}
下面是一些具體的模糊查詢、精確查詢之類的語句
精確查詢(必須完全匹配上)
//不分詞查詢 參數1: 字段名,參數2:字段查詢值,因爲不分詞,所以漢字只能查詢一個字,英語是一個單詞.
QueryBuilder queryBuilder=QueryBuilders.termQuery("fieldName", "fieldlValue");
//分詞查詢,採用默認的分詞器
QueryBuilder queryBuilder2 = QueryBuilders.matchQuery("fieldName", "fieldlValue");
多個匹配
//不分詞查詢,參數1: 字段名,參數2:多個字段查詢值,因爲不分詞,所以漢字只能查詢一個字,英語是一個單詞.
QueryBuilder queryBuilder=QueryBuilders.termsQuery("fieldName", "fieldlValue1","fieldlValue2...");
//分詞查詢,採用默認的分詞器
QueryBuilder queryBuilder= QueryBuilders.multiMatchQuery("fieldlValue", "fieldName1", "fieldName2", "fieldName3");
//匹配所有文件,相當於就沒有設置查詢條件
QueryBuilder queryBuilder=QueryBuilders.matchAllQuery();
模糊查詢(只要包含即可)
//模糊查詢常見的5個方法如下
//1.常用的字符串查詢
QueryBuilders.queryStringQuery("fieldValue").field("fieldName");//左右模糊
//2.常用的用於推薦相似內容的查詢
QueryBuilders.moreLikeThisQuery(new String[] {"fieldName"}).addLikeText("pipeidhua");//如果不指定filedName,則默認全部,常用在相似內容的推薦上
//3.前綴查詢 如果字段沒分詞,就匹配整個字段前綴
QueryBuilders.prefixQuery("fieldName","fieldValue");
//4.fuzzy query:分詞模糊查詢,通過增加fuzziness模糊屬性來查詢,如能夠匹配hotelName爲tel前或後加一個字母的文檔,fuzziness 的含義是檢索的term 前後增加或減少n個單詞的匹配查詢
QueryBuilders.fuzzyQuery("hotelName", "tel").fuzziness(Fuzziness.ONE);
//5.wildcard query:通配符查詢,支持* 任意字符串;?任意一個字符
QueryBuilders.wildcardQuery("fieldName","ctr*");//前面是fieldname,後面是帶匹配字符的字符串
QueryBuilders.wildcardQuery("fieldName","c?r?");
範圍查詢
//閉區間查詢
QueryBuilder queryBuilder0 = QueryBuilders.rangeQuery("fieldName").from("fieldValue1").to("fieldValue2");
//開區間查詢
QueryBuilder queryBuilder1 = QueryBuilders.rangeQuery("fieldName").from("fieldValue1").to("fieldValue2").includeUpper(false).includeLower(false);//默認是true,也就是包含
//大於
QueryBuilder queryBuilder2 = QueryBuilders.rangeQuery("fieldName").gt("fieldValue");
//大於等於
QueryBuilder queryBuilder3 = QueryBuilders.rangeQuery("fieldName").gte("fieldValue");
//小於
QueryBuilder queryBuilder4 = QueryBuilders.rangeQuery("fieldName").lt("fieldValue");
//小於等於
QueryBuilder queryBuilder5 = QueryBuilders.rangeQuery("fieldName").lte("fieldValue");
組合查詢/多條件查詢/布爾查詢
QueryBuilders.boolQuery()
QueryBuilders.boolQuery().must();//文檔必須完全匹配條件,相當於and
QueryBuilders.boolQuery().mustNot();//文檔必須不匹配條件,相當於not
QueryBuilders.boolQuery().should();//至少滿足一個條件,這個文檔就符合should,相當於or
聚合查詢
下面是幾個聚合查詢的拼接
(1)統計某個字段的數量
ValueCountBuilder vcb= AggregationBuilders.count("count_uid").field("uid");
(2)去重統計某個字段的數量(有少量誤差)
CardinalityBuilder cb= AggregationBuilders.cardinality("distinct_count_uid").field("uid");
(3)聚合過濾
FilterAggregationBuilder fab= AggregationBuilders.filter("uid_filter").filter(QueryBuilders.queryStringQuery("uid:001"));
(4)按某個字段分組
TermsBuilder tb= AggregationBuilders.terms("group_name").field("name");
(5)求和
SumBuilder sumBuilder= AggregationBuilders.sum("sum_price").field("price");
(6)求平均
AvgBuilder ab= AggregationBuilders.avg("avg_price").field("price");
(7)求最大值
MaxBuilder mb= AggregationBuilders.max("max_price").field("price");
(8)求最小值
MinBuilder min= AggregationBuilders.min("min_price").field("price");
(9)按日期間隔分組
DateHistogramBuilder dhb= AggregationBuilders.dateHistogram("dh").field("date");
(10)獲取聚合裏面的結果
TopHitsBuilder thb= AggregationBuilders.topHits("top_result");
(11)嵌套的聚合
NestedBuilder nb= AggregationBuilders.nested("negsted_path").path("quests");
(12)反轉嵌套
AggregationBuilders.reverseNested("res_negsted").path("kps ");
本文參考:https://blog.csdn.net/topdandan/article/details/81436141
https://blog.csdn.net/zhe1110/article/details/56675531
https://blog.csdn.net/u010454030/article/details/63266035