有一个es商品索引,分别有商品id productId,商家id userId,createTime,商品分类category字段,每个商家可以有多个字段,请帮我用java写段代码,使用聚合查询查出每个商家最新的3个不重复的商品分类
时间: 2024-10-21 20:10:47 浏览: 43
在Elasticsearch中,我们可以使用Java的elasticsearch客户端库来执行聚合查询。首先,你需要添加依赖到你的项目中。这里是一个简单的示例代码片段:
```java
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchAssistant;
import org.elasticsearch.client.Client;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.sort.SortAggregation;
public class ElasticsearchQueryExample {
private static final String INDEX_NAME = "your_index_name";
private static final Client client = // 初始化你的Elasticsearch客户端
public void getCategoryTopThreePerUser(String userId) throws Exception {
SearchRequest searchRequest = new SearchRequest(INDEX_NAME);
// 创建聚合,按商家ID分组并获取最新创建时间的商品
SortAggregation sortAgg = AggregationBuilders
.terms("user_categories")
.field("userId.keyword") // 使用keyword类型处理字符串防止分词影响
.subAggregation(AggregationBuilders
.topHits("latest_products")
.sort(SortBuilders.fieldSort("createTime").desc())
.size(3)) // 获取每个商家最近的三个商品
// 添加聚合到搜索请求
searchRequest.aggregations(sortAgg);
// 查询条件:商家ID等于指定用户ID
QueryBuilders boolQuery = QueryBuilders.boolQuery()
.must(QueryBuilders.matchQuery("userId", userId));
searchRequest.query(boolQuery);
// 执行搜索请求
SearchAssistant response = client.prepareSearch(searchRequest).get();
if (response.isSucceeded()) {
System.out.println("Top three categories for user " + userId + ":");
TopHits hits = response.getAggregations().get("user_categories");
for (Terms.Bucket bucket : hits.getBuckets()) {
String categoryName = bucket.getKeyAsString(); // 商家ID对应的类别名称
int count = bucket.getDocCount(); // 最新的商品数量
List<SearchHit> latestProducts = bucket.getAggregations().get("latest_products").getHits().getHits();
for (SearchHit latestProduct : latestProducts) {
String productId = latestProduct.getId(); // 最新的商品ID
// 输出结果
System.out.println("Category: " + categoryName + ", Product ID: " + productId);
}
}
} else {
System.err.println("Failed to execute query: " + response.toString());
}
}
}
```
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