项目场景：

Elasticsearch模糊查询某字段、多字段in查询、时间范围查询，通过DSL和java API两种方式

解决方案：

一、模糊查询

wildcard 通配符检索

使用wildcard相当于SQL的like，前后都可拼接*，匹配0到多个任意字符

1.  
   {
2.  
   "query": {
3.  
   "wildcard": {
4.  
   "name.keyword": "*文件*"
5.  
   }
6.  
   }
7.  
   }

1.  
   BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
2.  
   queryBuilder.must(QueryBuilders.wildcardQuery("name.keyword", "*文件*"));

fuzzy 模糊/纠错检索

使用fuzzy类似百度搜索，你输入“周杰伦”，也能查出来“周杰轮”，有纠错能力

1.  
   {
2.  
   "query": {
3.  
   "fuzzy": {
4.  
   "name.keyword": "*周杰伦*"
5.  
   }
6.  
   }
7.  
   }

1.  
   BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
2.  
   queryBuilder.must(QueryBuilders.fuzzyQuery("name.keyword", "周杰伦"));

二、多字段in查询

通过terms实现，类似SQL的in查询，多字段用集合表示

1.  
   {
2.  
   "query": {
3.  
   "bool": {
4.  
   "must": {
5.  
   "terms": {
6.  
   "name":[
7.  
   "张三",
8.  
   "李四"
9.  
   ]
10.  
    }
11.  
    }
12.  
    }
13.  
    }
14.  
    }

1.  
   BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
2.  
   queryBuilder.must(QueryBuilders.termsQuery("name.keyword", new ArrayList<>()));

三、时间范围查询

from、to为时间范围，include_lower、include_upper为是否包含左右边界

1.  
   {
2.  
   "query": {
3.  
   "bool": {
4.  
   "must": {
5.  
   "range": {
6.  
   "createTime": {
7.  
   "from": "2022-01-01",
8.  
   "to": "2022-03-01",
9.  
   "include_lower": true,
10.  
    "include_upper": true,
11.  
    "boost": 1
12.  
    }
13.  
    }
14.  
    }
15.  
    }
16.  
    }
17.  
    }

1.  
   BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();
2.  
   queryBuilder.must(QueryBuilders.rangeQuery("createTime").gte("2022-01-01").lte("2022-03-01"));