QueryBuilder简单查询

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------------amy1995-11-10singing dancing-------------2------------angle1996-05-01singing reading-------------3------------jackson1995-08-01basketball music reading-------------4------------jack1995-03-21football music-------------5------------tom1995-09-11reading 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

//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------------jack1995-03-21football music

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

多个字段匹配某一个值

 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------------jack1995-03-21football music-------------2------------tom1995-09-11reading music-------------3------------jackson1995-08-01basketball 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------------jackson1995-08-01basketball music reading-------------2------------jack1995-03-21football music

5.使用BoolQueryBuilder进行复合查询

使用must

//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andboolQueryBuilder.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------------jackson1995-08-01basketball 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orboolQueryBuilder.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------------jackson1995-08-01basketball music reading-------------2------------angle1996-05-01singing reading-------------3------------jack1995-03-21football music-------------4------------tom1995-09-11reading music

参考：http://blog.csdn.net/textboy/article/details/51006970