GET user-info/_search { "query": { "match": { "name": "hang si" } } } 查询结果： ... "hits" : [ { "_index" : "user-info", "_type" : "_doc", "_id" : "1", "_score" : 1.5037103, "_source" : { "id" : 1, "name" : "zhang san" } }, { "_index" : "user-info", "_type" : "_doc", "_id" : "2", "_score" : 1.5037103, "_source" : { "id" : 2, "name" : "li si" } } ] 转为java代码

以下是使用Java High Level REST Client进行Elasticsearch查询的示例代码：

RestHighLevelClient client = new RestHighLevelClient(
        RestClient.builder(
                new HttpHost("localhost", 9200, "http")));

SearchRequest searchRequest = new SearchRequest("user-info");
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

MatchQueryBuilder matchQueryBuilder = new MatchQueryBuilder("name", "hang si");
searchSourceBuilder.query(matchQueryBuilder);

searchRequest.source(searchSourceBuilder);

SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);

SearchHits hits = searchResponse.getHits();
for (SearchHit hit : hits) {
    String index = hit.getIndex();
    String id = hit.getId();
    float score = hit.getScore();
    Map<String, Object> sourceAsMap = hit.getSourceAsMap();
    // Do something with the search hit...
}

client.close();

其中，我们首先创建了一个`RestHighLevelClient`实例，指定了Elasticsearch服务器的主机和端口。

然后，我们创建了一个`SearchRequest`实例，指定了我们要查询的索引名称。接着，我们通过`SearchSourceBuilder`构建查询条件，这里使用了`MatchQueryBuilder`来进行匹配查询。

然后，我们将查询条件设置到`SearchRequest`中，并执行查询。查询结果包含在`SearchResponse`对象中，我们可以从中获取`SearchHits`对象，遍历其中的`SearchHit`对象，获取相关信息，如索引名称、文档ID、文档得分等。最后，我们关闭`RestHighLevelClient`实例。