Elasticsearch QueryBuilder简单查询实现解析

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

http://

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 queryBuidAfAFPwMYflder2 = 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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