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elasticsearch中存儲的全部文檔
1.matchAllQuery()
matchAllQuery()方法用來匹配全部文檔
public class QueryTest {
public static void main(String[] args) {
//創建對象，設置集群名稱和IP地址
ElasticsearchUtils es = new ElasticsearchUtils("im_shan",
"localhost");
String indexName = "school";//索引名稱
String typeName = "student";//類型名稱
//搜索全部文檔
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);
}
}
}
控制臺將輸出全部文檔
輸出： -------------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")匹配單個字段，匹配字段名為filedname,值為value的文檔
java] view plain copy
//單個匹配，搜索name為jack的文檔
QueryBuilder queryBuilder = QueryBuilders.matchQuery("name", "jack");
此時會輸出一條記錄，因為只有一個name為jack的文檔
-------------1------------ jack 1995-03-21 football music
3.multiMatchQuery(Object text, String... fieldNames)
多個字段匹配某一個值
[java] view plain copy
QueryBuilder queryBuilder = QueryBuilders.multiMatchQuery("music",
"name", "interest");//搜索name中或interest中包含有music的文檔（必須與music一致）
控制臺輸出如下
-------------1------------ jack 1995-03-21 football music -------------2------------ tom 1995-09-11 reading music -------------3------------ jackson 1995-08-01 basketball music reading
4.wildcardQuery()模糊查詢
模糊查詢，?匹配單個字符，*匹配多個字符
WildcardQueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name",
"*jack*");//搜索名字中含有jack文檔（name中只要包含jack即可）
控制臺輸出如下
-------------1------------ jackson 1995-08-01 basketball music reading -------------2------------ jack 1995-03-21 football music
5.使用BoolQueryBuilder進行復合查詢
使用must
java] view plain copy
//模糊查詢
WildcardQueryBuilder queryBuilder1 = QueryBuilders.wildcardQuery(
"name", "*jack*");//搜索名字中含有jack的文檔
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery(
"interest", "*read*");//搜索interest中含有read的文檔
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//name中必須含有jack,interest中必須含有read,相當于and
boolQueryBuilder.must(queryBuilder1);
boolQueryBuilder.must(queryBuilder2);
控制臺輸出如下（name中必須含有jack,interest中必須含有read,只有一條文檔匹配）：
-------------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的文檔
WildcardQueryBuilder queryBuilder2 = QueryBuilders.wildcardQuery(
"interest", "*read*");//搜索interest中含有read的文檔
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//name中含有jack或者interest含有read，相當于or
boolQueryBuilder.should(queryBuilder1);
boolQueryBuilder.should(queryBuilder2);
控制臺輸出（name中含有jack或者interest中含有read的都將被匹配）：
------------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.分頁
通過from和size參數進行分頁。From定義查詢結果開始位置，size定義返回的hits（一條hit對應一條記錄）最大數量。
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