Elasticsearch QueryBuilder簡單查詢實現解析

更新時間：2019年08月01日 14:55:09 作者：晨曦曙光

這篇文章主要介紹了Elasticsearch QueryBuilder簡單查詢實現解析,文中通過示例代碼介紹的非常詳細，對大家的學習或者工作具有一定的參考學習價值,需要的朋友可以參考下

elasticsearch中存儲的全部文檔

1.matchAllQuery()

matchAllQuery()方法用來匹配全部文檔

public class QueryTest { 
  public static void main(String[] args) { 
    //創(chuàng)建對象，設置集群名稱和IP地址 
    ElasticsearchUtils es = new ElasticsearchUtils("im_shan", 
        "localhost"); 
    String indexName = "school";//索引名稱 
    String typeName = "student";//類型名稱 
    //搜索全部文檔 
    QueryBuilder queryBuilder = QueryBuilders.matchAllQuery(); 
    SearchResponse searchResponse = es.searcher(indexName, typeName, 
      queryBuilder); 
    SearchHits hits = searchResponse.getHits(); 
    SearchHit[] searchHits = hits.getHits(); 
    int i = 0; 
    for (SearchHit searchHit : searchHits) { 
      String name = (String) searchHit.getSource().get("name"); 
      String birth = (String) searchHit.getSource().get("birth"); 
      String interest = (String) searchHit.getSource().get("interest"); 
      System.out.println("-------------" + (++i) + "------------"); 
      System.out.println(name); 
      System.out.println(birth); 
      System.out.println(interest); 
    } 
 
  } 
}

控制臺將輸出全部文檔

輸出： 
-------------1------------ 
amy 
1995-11-10 
singing dancing 
-------------2------------ 
angle 
1996-05-01 
singing reading 
-------------3------------ 
jackson 
1995-08-01 
basketball music reading 
-------------4------------ 
jack 
1995-03-21 
football music 
-------------5------------ 
tom 
1995-09-11 
reading music

2.matchQuery(String name,Object text)

matchQuery("filedname","value")匹配單個字段，匹配字段名為filedname,值為value的文檔

java] view plain copy 
//單個匹配，搜索name為jack的文檔 
QueryBuilder queryBuilder = QueryBuilders.matchQuery("name", "jack");

此時會輸出一條記錄，因為只有一個name為jack的文檔

-------------1------------ 
jack 
1995-03-21 
football music

3.multiMatchQuery(Object text, String... fieldNames)

多個字段匹配某一個值

[java] view plain copy
QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("music", 
      "name", "interest");//搜索name中或interest中包含有music的文檔（必須與music一致）

控制臺輸出如下

-------------1------------ 
jack 
1995-03-21 
football music 
-------------2------------ 
tom 
1995-09-11 
reading music 
-------------3------------ 
jackson 
1995-08-01 
basketball music reading

4.wildcardQuery()模糊查詢

模糊查詢，?匹配單個字符，*匹配多個字符

WildcardQueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name", 
      "*jack*");//搜索名字中含有jack文檔（name中只要包含jack即可）

控制臺輸出如下

-------------1------------ 
jackson 
1995-08-01 
basketball music reading 
-------------2------------ 
jack 
1995-03-21 
football music

5.使用BoolQueryBuilder進行復合查詢

使用must

java] view plain copy
//模糊查詢 
WildcardQueryBuilder queryBuilder1 = QueryBuilders.wildcardQuery( 
      "name", "*jack*");//搜索名字中含有jack的文檔 
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery( 
      "interest", "*read*");//搜索interest中含有read的文檔 
 
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery(); 
//name中必須含有jack,interest中必須含有read,相當于and 
boolQueryBuilder.must(queryBuilder1); 
boolQueryBuilder.must(queryBuilder2);

控制臺輸出如下（name中必須含有jack,interest中必須含有read,只有一條文檔匹配）：

-------------1------------ 
jackson 
1995-08-01 
basketball music reading

使用should

WildcardQueryBuilder queryBuilder1 = QueryBuilders.wildcardQuery( 
      "name", "*jack*");//搜索名字中含有jack的文檔 
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery( 
      "interest", "*read*");//搜索interest中含有read的文檔 
 
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery(); 
//name中含有jack或者interest含有read，相當于or 
boolQueryBuilder.should(queryBuilder1); 
boolQueryBuilder.should(queryBuilder2);

控制臺輸出（name中含有jack或者interest中含有read的都將被匹配）：

------------1------------ 
jackson 
1995-08-01 
basketball music reading 
-------------2------------ 
angle 
1996-05-01 
singing reading 
-------------3------------ 
jack 
1995-03-21 
football music 
-------------4------------ 
tom 
1995-09-11 
reading music

6.分頁

通過from和size參數進行分頁。From定義查詢結果開始位置，size定義返回的hits（一條hit對應一條記錄）最大數量。