elastics
earch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。
