Elasticsearch分组后，根据分组后的数量排序，并查询分组后的组数量，通过DSL和java API两种方式
解决方案：
示例：在单据表中，查询2022-01-19当天每个人提交的单据数量，从高到低排序，并查询提交过单据的总人数。
期望实现的SQL
select Id,count(Id) as c from userbill where type='bill' and createTime >='2022-01-19'
and createTime <= '2022-01-19' group by createUser order by c desc
1、DSL方式 :
GET /userbill/_search
{"from": 0,"size": 0,"query": {"bool": {"filter": [{"bool": {"must": [{"term": {"type": {"value": "bill","boost": 1}}},{"range": {"createTime": {"from": "2022-01-19","to": "2022-01-19","include_lower": true,"include_upper": true,"boost": 1}}}],"adjust_pure_negative": true,"boost": 1}}]}},"_source": false,"stored_fields": "_none_","aggs": {"group_name": {"terms": {"field": "createUser","size": 999999},"aggs": {"bucket_field": {"bucket_sort": {"sort": [{"_count": {"order": "desc"}}]}}}},"stats_monthly_sales": {"stats_bucket": {"buckets_path": "group_name>_count"}}}
}
查询结果
key为分组用户ID，doc_count为数量，stats_monthly_sales内count为组的数量
{"took" : 2,"timed_out" : false,"_shards" : {"total" : 5,"successful" : 5,"skipped" : 0,"failed" : 0},"hits" : {"total" : 32,"max_score" : 0.0,"hits" : [ ]},"aggregations" : {"group_name" : {"doc_count_error_upper_bound" : 0,"sum_other_doc_count" : 0,"buckets" : [{"key" : 115944,"doc_count" : 8},{"key" : 967145,"doc_count" : 7},{"key" : 917175,"doc_count" : 4},{"key" : 937800,"doc_count" : 3},{"key" : 888831,"doc_count" : 2},{"key" : 963198,"doc_count" : 2},{"key" : 88896565,"doc_count" : 2},{"key" : 381480,"doc_count" : 1},{"key" : 918555,"doc_count" : 1},{"key" : 1002454,"doc_count" : 1},{"key" : 88895739,"doc_count" : 1}]},"stats_monthly_sales" : {"count" : 11,"min" : 1.0,"max" : 8.0,"avg" : 2.909090909090909,"sum" : 32.0}}
}
2、java API方式
查询后解析结果，封装到List集合中
public List<StatisticsData> test(){SearchSourceBuilder builder = new SearchSourceBuilder();BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery();BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();boolQueryBuilder.must(QueryBuilders.termQuery("type", "bill"));boolQueryBuilder.must(QueryBuilders.rangeQuery("createTime").gte("2022-01-19").lte("2022-01-19"));queryBuilder.filter(boolQueryBuilder);builder.query(queryBuilder);TermsAggregationBuilder termsAggregationBuilder = AggregationBuilders.terms("group_name").field("createUser").size(999999);builder.aggregation(new StatsBucketPipelineAggregationBuilder("stats_bucket", "group_name>_count"));builder.aggregation(termsAggregationBuilder);builder.from(0);builder.size(0);builder.fetchSource(false);SearchRequest request = new SearchRequest(ElasticsearchConstant.EMSUSERBILLPROCESS_INDEX);request.source(builder);SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);ParsedTerms parsedTerms = (ParsedTerms) response.getAggregations().asMap().get("group_name");List<Terms.Bucket> buckets = (List<Terms.Bucket>) parsedTerms.getBuckets();List<StatisticsData> li = buckets.stream().map(u -> {StatisticsData s = new StatisticsData();s.setKey(String.valueOf(u.getKey()));s.setDoc_count(String.valueOf(u.getDocCount()));return s;}).collect(Collectors.toList());return li;}