用restHighLevelClient 实现
时间: 2024-09-19 18:16:05 浏览: 41
使用 `restHighLevelClient` 来实现 Elasticsearch 的聚合查询需要编写 Java 代码。首先,你需要创建一个 `RestHighLevelClient` 实例,然后利用它的 `search()` 方法执行查询,并指定一个 `SearchRequest` 对象,里面包含了查询条件和聚合设置。下面是一个简单的示例,假设你已经有一个初始化好的 `RestHighLevelClient` 变量 `client`:
```java
// 导入必要的依赖库
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.index.query.HumanBuilders;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.aggregations.AggregationBuilders;
// ... (已初始化的client)
// 构建 SearchRequest
SearchRequest searchRequest = new SearchRequest("your_index");
SearchSourceBuilder searchSource = new SearchSourceBuilder();
searchSource.aggregation(AggregationBuilders.terms("keyword_values")
.field("keywords.a")) // 选择 a 字段进行聚合
.size(0); // 设置大小为0,因为我们只关心聚合结果
searchRequest.source(searchSource);
// 执行请求并获取结果
Response response = client.search(searchRequest, RequestOptions.DEFAULT);
SearchResponse searchResult = response.getSearchResponse();
// 提取聚合结果
Aggregations aggregations = searchResult.getAggregations();
List<Terms.Bucket> buckets = aggregations.get("keyword_values").getBuckets();
for (Terms.Bucket bucket : buckets) {
String key = bucket.getKeyAsString(); // 获取键值
long docCount = bucket.docCount(); // 获取文档计数
System.out.println("Key: " + key + ", Doc Count: " + docCount);
}
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