Elasticsearch基础查询

官方文档地址

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-query.html

JavaClient 查询ES

 QueryBuilder queryBuilder = QueryBuilders.termQuery("字段","term值");
 SearchResponse response = client.prepareSearch("索引名称").setTypes("type名称").setSearchType(SearchType.DFS_QUERY_THEN_FETCH).setQuery(queryBuilder).execute().actionGet(); 
 //获取命中数 
 System.out.println(response.getHits().totalHits()); 
 //获取响应字符串 
 System.out.println(response.toString()); 
 //遍历查询结果输出相关度分值和文档内容 
 SearchHits searchHits = response.getHits(); 
 for(SearchHit searchHit : searchHits){
  System.out.println(searchHit.getScore()); System.out.println(searchHit.getSourceAsString());
 }

term query 分词精确查询

查询hotelName 分词后包含 hotel的term的文档

QueryBuilders.termQuery("hotelName","hotel")

terms Query 多term查询

查询hotelName 包含 hotel 或test 中的任何一个或多个的文档

QueryBuilders.termsQuery("hotelName","hotel","test")

range query范围查询

QueryBuilders.rangeQuery("hotelNo").gt("10143262306"); //大于 10143262306 　　
QueryBuilders.rangeQuery("hotelNo").lt("101432623062055348221"); //小于 101432623062055348221 
QueryBuilders.rangeQuery("hotelNo").includeLower(true); //包括下界 
QueryBuilders.rangeQuery("hotelNo").includeUpper(false); //包括上界

exist query 查询字段不为null的文档

查询字段address 不为null的数据

QueryBuilders.existsQuery("address")

missing query返回没有字段或值为null或没有值的文档

java client 该方法已经标记为过时，推荐用exist代替 如下
existsQuery BoolQueryBuilder#mustNot(QueryBuilder)
QueryBuilders.missingQuery("accountGuid") 等同 QueryBuilders.boolQuery().mustNot(QueryBuilders.existsQuery("accountGuid"));

prefix query 匹配分词前缀

如果字段没分词，就匹配整个字段前缀

QueryBuilders.prefixQuery("hotelName","花园")

wildcard query 通配符查询

支持* 任意字符串；？任意一个字符

QueryBuilders.wildcardQuery("channelCode","ctr*") 
QueryBuilders.wildcardQuery("channelCode","ctr?")

regexp query 正则表达式匹配分词

正则表达式自己写吧 略

fuzzy query 分词模糊查询

通过增加fuzziness 模糊属性，来查询term 如下 能够匹配 hotelName 为 te el tel前或后加一个字母的term的 文档 fuzziness 的含义是检索的term 前后增加或减少n个单词的匹配查询

QueryBuilders.fuzzyQuery("hotelName", "tel").fuzziness(Fuzziness.ONE)

type Query 

英文原文：Filters documents matching the provided document / mapping type.

QueryBuilders.typeQuery("channelCode")

idx Query 根据ID查询

QueryBuilders.idsQuery().addIds("exchange_operate_monitor_db$32293","exchange_operate_monitor_db$32294");