ShreelekhyaG opened a new pull request #4208:
URL: https://github.com/apache/carbondata/pull/4208
### Why is this PR needed?
With spark 3.1, we can create a partition table by giving partition columns
from schema.
Like below example:
`create table partitionTable(c1 int, c2 int, v1 string, v2 string) stored as
carbondata partitioned by (v2,c2)`
In cluster/ with carbon session, when we create partition table with above
syntax it is creating normal table with no partitions.
### What changes were proposed in this PR?
`partitionByStructFields` is empty when we directly give partition column
names. So it was not creating a partition table. Made changes to identify the
partition column names and get the struct field and datatype info from table
columns.
### Does this PR introduce any user interface change?
- No
### Is any new testcase added?
- Yes, tested in cluster.
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