trushev commented on PR #5830:
URL: https://github.com/apache/hudi/pull/5830#issuecomment-1354714159
@voonhous
As I understand you are talking about this case
```sql
Flink SQL>
-- write with schema1
create table tbl(`id` int primary key, `value` int)
partitioned by (`id`)
with ('connector'='hudi', 'path'='/tmp/tbl');
insert into tbl values (1, 10);
drop table tbl;
-- write with schema2 int => double
create table tbl(`id` int primary key, `value` double)
partitioned by (`id`)
with ('connector'='hudi', 'path'='/tmp/tbl');
insert into tbl values (2, 20.0);
-- read all data
select * from tbl; -- throws exception due to tbl consists of two
partitioned files (1, 10) and (2, 20.0)
```
```java
Caused by: java.lang.IllegalArgumentException: Unexpected type: INT32
```
While if we delete `partitioned by ('id')` in sql above, tbl will consist of
two unpartitioned files (1, 10.0), (2, 20.0) and read query will work fine
```sql
select * from tbl;
```
```
+----+-------------+--------------------------------+
| op | id | value |
+----+-------------+--------------------------------+
| +I | 1 | 10.0 |
| +I | 2 | 20.0 |
+----+-------------+--------------------------------+
```
In my opinion it's a good idea to support such scenario you described for
spark https://github.com/apache/hudi/pull/7480
Currently, I have no plans to implement it so you can do it if you wish
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