要在Elasticsearch中按日期和对象进行分组，可以使用聚合（aggregation）功能。下面是一个示例代码，展示了如何使用Elasticsearch的Java客户端进行此操作：

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.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.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.metrics.sum.Sum;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;

import java.io.IOException;

public class ElasticsearchGroupByDateAndObject {

    public static void main(String[] args) throws IOException {
        // 创建Elasticsearch客户端
        RestHighLevelClient client = new RestHighLevelClient();

        // 创建SearchRequest对象
        SearchRequest searchRequest = new SearchRequest("your_index");
        searchRequest.types("your_type"); // 替换为你的索引和类型

        // 创建SearchSourceBuilder对象
        SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();

        // 设置查询条件
        searchSourceBuilder.query(QueryBuilders.matchAllQuery());

        // 设置排序规则
        searchSourceBuilder.sort("date_field", SortOrder.ASC); // 替换为你的日期字段

        // 创建日期直方图聚合
        Histogram dateHistogram = AggregationBuilders
                .dateHistogram("group_by_date")
                .field("date_field") // 替换为你的日期字段
                .calendarInterval(DateHistogramInterval.DAY); // 按天分组，可以根据需求进行调整

        // 创建对象分组聚合
        Terms objectTerms = AggregationBuilders
                .terms("group_by_object")
                .field("object_field") // 替换为你的对象字段
                .size(10); // 返回前10个对象，可以根据需求进行调整

        // 创建求和聚合
        Sum sumAggregation = AggregationBuilders
                .sum("sum_of_values")
                .field("value_field"); // 替换为你的值字段

        // 将求和聚合添加到对象分组聚合上
        objectTerms.subAggregation(sumAggregation);

        // 将对象分组聚合添加到日期直方图聚合上
        dateHistogram.subAggregation(objectTerms);

        // 将日期直方图聚合添加到SearchSourceBuilder上
        searchSourceBuilder.aggregation(dateHistogram);

        // 将SearchSourceBuilder添加到SearchRequest上
        searchRequest.source(searchSourceBuilder);

        // 执行搜索请求
        SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);

        // 处理搜索结果
        // 获取日期直方图聚合结果
        Histogram histogramAggregation = searchResponse.getAggregations().get("group_by_date");
        for (Histogram.Bucket dateBucket : histogramAggregation.getBuckets()) {
            // 获取日期桶的key和doc_count
            String dateKey = dateBucket.getKeyAsString();
            long docCount = dateBucket.getDocCount();

            // 获取对象分组聚合结果
            Terms objectTermsAggregation = dateBucket.getAggregations().get("group_by_object");
            for (Terms.Bucket objectBucket : objectTermsAggregation.getBuckets()) {
                // 获取对象分组桶的key和doc_count
                String objectKey = objectBucket.getKeyAsString();
                long objectDocCount = objectBucket.getDocCount();

                // 获取求和聚合结果
                Sum sumAggregationResult = objectBucket.getAggregations().get("sum_of_values");
                double sumValue = sumAggregationResult.getValue();

                // 处理聚合结果
                System.out.println("Date: " + dateKey);
                System.out.println("Object: " + objectKey);
                System.out.println("Sum: " + sumValue);
                System.out.println("Doc count: " + objectDocCount);
                System.out.println();
            }
        }

        // 关闭Elasticsearch客户端
        client.close();
    }
}

上述示例代码中，我们使用了dateHistogram和objectTerms两个聚合来分别按日期和对象进行分组。其中，dateHistogram聚合以天为间隔进行分组，`object