ElasticsearchQueryBuilder简单查询实现解析
elasticsearch中存储的全部文档
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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
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//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
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//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。
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持创新互联。
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