如何在弹性高级Rest客户端中使用search_after进行分页

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.builder.SearchSourceBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.elasticsearch.search.sort.SortBuilders;
import org.elasticsearch.search.sort.FieldSortBuilder;

public class PaginationExample {
    public static void main(String[] args) {
        try (RestHighLevelClient client = new RestHighLevelClient()) {
            SearchRequest searchRequest = new SearchRequest("your_index");
            SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
            
            // 设置搜索条件和过滤条件
            searchSourceBuilder.query(QueryBuilders.matchAllQuery());
            
            // 设置排序字段和排序顺序
            FieldSortBuilder sortBuilder = SortBuilders.fieldSort("your_field").order(SortOrder.ASC);
            searchSourceBuilder.sort(sortBuilder);
            
            // 设置每页返回的文档数量
            searchSourceBuilder.size(10);
            
            // 设置search_after参数
            Object[] searchAfterValues = null; // 上一页的最后一个文档的排序值
            if (searchAfterValues != null) {
                searchSourceBuilder.searchAfter(searchAfterValues);
            }
            
            searchRequest.source(searchSourceBuilder);
            
            SearchResponse searchResponse = client.search(searchRequest, RequestOptions.DEFAULT);
            
            // 处理搜索结果
            // ...
            
            // 获取最后一个文档的排序值
            searchAfterValues = searchResponse.getHits().getHits()[searchResponse.getHits().getHits().length - 1].getSortValues();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}