this PR support slot appearing both in agg func and grouping sets.
sql like below:
select sum(a) from t group by grouping sets ((a));
Before this PR, Nereids throw exception like below:
col_int_undef_signed cannot both in select list and aggregate functions when using GROUPING SETS/CUBE/ROLLUP, please use union instead.
This PR removes the restriction and supports this situation.
Issue Number: close #xxx
For example, the hive table is partitioned by `date` and `region`, with the following 6 partitions
```
20200101
beijing
shanghai
20200102
beijing
shanghai
20200103
beijing
shanghai
```
If the MTMV is partitioned by `date`, then the MTMV will have three partitions: 20200101, 202000102, 20200103
If the MTMV is partitioned by `region`, then the MTMV will have two partitions: beijing, shanghai
should always enable workload group because other operations depend on it for example MTMV, and spill to disk.
the normal workload group should be created in constructor.
This PR #25952 introduce a opt that if a scan node has limit and predicates, use only 1 instance to save cup and memory.
But this is wrong because we can not guarantee that the predicates can truly help to prune the data.
So I modify the logic to remove this opt.
Now, only scan node with limit and NO predicate can reduce to only 1 instance.
When FE generates plans and reaches the sequence column for rule judgment, an insertion statement that should have been correctly processed fails. This failure occurs because the judgment logic for the sequence part is case-sensitive to column names: the column name is in lowercase in the create table statement, but in uppercase in the insertion statement, causing the sequence column not to be correctly identified. However, Doris itself is case-insensitive to column names. This PR fixes the issue through the use of the ignoreCase method.
When a Hudi table is synchronized to HMS, the partition information is also synchronized, so even if the metastore is not enabled in the Hudi table (for example, if the Metastore is false for a Hudi table created with Flink), you can still obtain the partition information through the HMS API.
