在Elasticsearch中，可以使用terms aggregation对术语进行聚合，并使用order参数对结果进行排序。以下是一个示例代码：

import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.common.Strings;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.builder.SearchSourceBuilder;

import java.io.IOException;

public class TermAggregationSortExample {

    public static void main(String[] args) throws IOException {
        // 创建Elasticsearch的RestHighLevelClient

        RestHighLevelClient client = new RestHighLevelClient();

        // 构建查询请求
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        sourceBuilder.query(QueryBuilders.matchAllQuery());
        sourceBuilder.size(0); // 不需要返回实际的搜索结果，只需要聚合结果
        sourceBuilder.aggregation(
                AggregationBuilders.terms("term_agg")
                        .field("your_field_name")
                        .order(Terms.Order.term(true)) // 按照术语的升序排序
        );

        // 执行搜索请求
        SearchResponse response = client.search(sourceBuilder);

        // 解析聚合结果
        Terms termAgg = response.getAggregations().get("term_agg");
        for (Terms.Bucket bucket : termAgg.getBuckets()) {
            String term = Strings.toString(bucket.getKey());
            long count = bucket.getDocCount();
            System.out.println("Term: " + term + ", Count: " + count);
        }

        // 关闭Elasticsearch的RestHighLevelClient
        client.close();
    }
}

在上面的示例代码中，我们使用AggregationBuilders.terms创建了一个terms aggregation，并使用.field("your_field_name")指定了要聚合的字段名。然后使用.order(Terms.Order.term(true))指定了按术语升序排序。最后，通过调用response.getAggregations().get("term_agg")获取到terms aggregation的结果，然后可以遍历每个bucket获取术语和对应的文档计数。