1. Trim Schema Names: Adapted the system to remove trailing spaces from DB2 schema names, ensuring compatibility without affecting query operations.
2. XML Mapping: Implemented a feature to directly map XML types to String.
Problem:
When partially updating columns without specifying the auto-increment column, and the imported data contains new keys, an error stating the auto-increment column could not be found occurs.
Reason:
The logic for partial column updates does not account for new keys in auto-increment columns. Since auto-increment columns can be generated by the system, it's possible to omit this column data during import. However, partial column updates treat this as a regular column, expecting it to be nullable or have a default value for automatic filling, overlooking the fact that auto-increment columns can also be auto-filled. This oversight leads to the error.
Solution:
Incorporate a check for auto-increment columns into the partial column update logic, and include the logic for generating auto-increment column values in the process of completing partial updates.
When left join with no edge in outer side, we should add outer side to minimal require of left tables
Co-authored-by: libinfeng <libinfeng@selectdb.com>
* [Fix](nereids) Only rewrite the slots that appear both in trival-agg func and grouping sets
* [Fix](nereids) Only rewrite the slots that appear both in trival-agg func and grouping sets
---------
Co-authored-by: feiniaofeiafei <moailing@selectdb.com>
```sql
select a, c, sum(sum(b)) over(partition by c order by c rows between unbounded preceding and current row)
from test_window_table2 group by grouping sets((a),( c)) having a > 1 order by 1,2,3;
```
for this kind of case:
sum(sum(col)) over, nereids has cannot find slot problem.
the output slot of repeat and aggregate is computed wrongly.
Only collecting the trival-agg in NormalizeRepeat can fix this problem.
Co-authored-by: feiniaofeiafei <moailing@selectdb.com>
should not push down topn distinct through join when the output
columns of the corresponding child of join is more than
aggregate distinct columns.
for example for LEFT_OUTER_JOIN:
left child of join's output is: c1, c2, c3.
distinct columns is: c1, c2
topn: limit 2
if we push down topn distinct, we could get result of join like this:
```
c1 c2 c3, ...
1 2 1
1 2 2
```
and the final result we get is:
```
c1 c2
1 2
```
this is wrong, because we need 2 lines, but only return 1.
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
