Elasticsearch QueryBuilder简单查询实现解析

elasticsearch中存储的全部文档

1.matchAllQuery()

matchAllQuery()方法用来匹配全部文档

public class QueryTest {
  public static void main(String[] args) {
    //创建对象，设置集群名称和IP地址
    ElasticsearchUtils es = new ElasticsearchUtils("im_shan",
        "localhost");
    String indexName = "school";//索引名称
    String typeName = "student";//类型名称
    //搜索全部文档
    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);
    } 

  }
}

控制台将输出全部文档

输出：
-------------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")匹配单个字段，匹配字段名为filedname,值为value的文档

java] view plain copy
//单个匹配，搜索name为jack的文档
QueryBuilder queryBuilder = QueryBuilders.matchQuery("name", "jack"); 

此时会输出一条记录，因为只有一个name为jack的文档

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

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

多个字段匹配某一个值

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

控制台输出如下

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

4.wildcardQuery()模糊查询

模糊查询，?匹配单个字符，*匹配多个字符

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

控制台输出如下

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

5.使用BoolQueryBuilder进行复合查询

使用must

java] view plain copy
//模糊查询
WildcardQueryBuilder queryBuilder1 = QueryBuilders.wildcardQuery(
      "name", "*jack*");//搜索名字中含有jack的文档
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery(
      "interest", "*read*");//搜索interest中含有read的文档 

BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//name中必须含有jack,interest中必须含有read,相当于and
boolQueryBuilder.must(queryBuilder1);
boolQueryBuilder.must(queryBuilder2);

控制台输出如下（name中必须含有jack,interest中必须含有read,只有一条文档匹配）：

-------------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的文档
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery(
      "interest", "*read*");//搜索interest中含有read的文档 

BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//name中含有jack或者interest含有read，相当于or
boolQueryBuilder.should(queryBuilder1);
boolQueryBuilder.should(queryBuilder2);

控制台输出（name中含有jack或者interest中含有read的都将被匹配）：

------------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.分页

通过from和size参数进行分页。From定义查询结果开始位置，size定义返回的hits（一条hit对应一条记录）最大数量。

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