sparksql query perfermance cost more in hudi 0.14-rc

version: hudi-0.14.0-rc1，hudi-0.14.0-rc2

CREATE TABLE `hudi_test`.`tmp_hudi_test_1` (
  `id` string,
  `name` string,
  `dt` bigint,
  `day` STRING COMMENT '日期分区',
  `hour` INT COMMENT '小时分区'
)using hudi
OPTIONS ('hoodie.datasource.write.hive_style_partitioning' 'false', 'hoodie.datasource.meta.sync.enable' 'false', 'hoodie.datasource.hive_sync.enable' 'false')
tblproperties (
  'primaryKey' = 'id',
  'type' = 'mor',
  'preCombineField'='dt',
  'hoodie.index.type' = 'BUCKET',
  'hoodie.bucket.index.hash.field' = 'id',
  'hoodie.bucket.index.num.buckets'=512
)
PARTITIONED BY (`day`,`hour`);

insert into `hudi_test`.`tmp_hudi_test_1` select '1' as id, 'aa' as name, 123 as dt, '2023-10-12' as `day`, 10 as `hour`;
insert into `hudi_test`.`tmp_hudi_test_1` select '1' as id, 'aa' as name, 123 as dt, '2023-10-12' as `day`, 11 as `hour`;
insert into `hudi_test`.`tmp_hudi_test_1` select '1' as id, 'aa' as name, 123 as dt, '2023-10-12' as `day`, 12 as `hour`;

select * from `hudi_test`.`tmp_hudi_test_1` where day='2023-10-12' and hour=11;

right stage task number should be 1

if table files is much，would cause driver oom or fullgc for a long time