2.1.6查询Hive Catalog，FILE_SCAN_OPERATOR算子很慢

Hive建表语句如下，测试了几个场景
1.单分区，约5亿数据：
2.5分区，约25亿数据
3.10个分区，约50亿数据

CREATE TABLE `test`(
  `apply_id` string COMMENT '',
  `apply_dt` timestamp COMMENT '',
  `partner_nm` string COMMENT '',
  `new_or_old` string COMMENT '',
  `all_batch_seq_no_td` string COMMENT '',
  `first_channel_name` string COMMENT '',
  `second_channel_name` string COMMENT '',
  `mobile_prov_nm` string COMMENT '',
  `mobile_city_nm` string COMMENT '',
  `lsjr_cust_lvl` string COMMENT '',
  `clec_nm` string COMMENT '',
  `star_sign` string COMMENT '',
  `gender` string COMMENT '',
  `lsjr_cust_id` string COMMENT '',
  `succe_lsjr_cust_id` string COMMENT '',
  `succe_crdt_lmt` bigint COMMENT '')
COMMENT ''
PARTITIONED BY (
 `day_id` timestamp)
ROW FORMAT SERDE
  'org.apache.hadoop.hive.ql.io.orc.OrcSerde'
WITH SERDEPROPERTIES (
)
STORED AS INPUTFORMAT
  'org.apache.hadoop.hive.ql.io.orc.OrcInputFormat'
OUTPUTFORMAT
  'org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat'
LOCATION
  'hdfs://xxx'
TBLPROPERTIES (
  'orc.compress'='zlib',
  'transient_lastDdlTime'='1730444031',
  'doris.version'='doris-2.1.6-rc04-653e315ba5',
  'doris.file_format'='orc')

没有开启Data Cache，查看profile，FILE_SCAN_OPERATOR算子消耗时间最长，其次是AGGREGATION_OPERATOR

查询过程中，BE的CPU都会打满，请问下有没有什么查询优化方案吗？