restHighLevelClient es 聚合查询 按规定时间格式分组
时间: 2023-07-10 19:32:32 浏览: 241
好的,如果您使用Java语言,可以使用Elasticsearch的Java客户端RestHighLevelClient进行聚合查询。以下是一个示例代码,按天分组:
```
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.unit.TimeValue;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramInterval;
import org.elasticsearch.search.aggregations.bucket.histogram.Histogram;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import java.io.IOException;
import java.util.concurrent.TimeUnit;
public class AggregationExample {
public void aggregationByDate(RestHighLevelClient client, String indexName, String dateField) throws IOException {
SearchRequest searchRequest = new SearchRequest(indexName);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchAllQuery());
Histogram histogramAggregation = AggregationBuilders.dateHistogram("group_by_day")
.field(dateField)
.calendarInterval(DateHistogramInterval.DAY)
.format("yyyy-MM-dd");
searchSourceBuilder.aggregation(histogramAggregation);
searchRequest.source(searchSourceBuilder);
searchRequest.scroll(new TimeValue(60000L));
SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
histogramAggregation = searchResponse.getAggregations().get("group_by_day");
for (Histogram.Bucket bucket : histogramAggregation.getBuckets()) {
String keyAsString = bucket.getKeyAsString();
long docCount = bucket.getDocCount();
System.out.println("日期:" + keyAsString + ",文档数量:" + docCount);
}
}
}
```
其中,`client`参数为您创建的RestHighLevelClient实例,`indexName`为您要查询的索引名,`dateField`为您要聚合的日期字段名。
您可以根据需要修改`calendarInterval`和`format`参数来实现不同的聚合需求。例如,如果您要按月份聚合,可以将`calendarInterval`设置为`DateHistogramInterval.MONTH`,并将`format`设置为`yyyy-MM`。
希望这能帮到您!
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