We have a query similar to this:
INSERT INTO t(c1, c2) VALUES(1, 2);
However, the row type of table `t` has 3 columns: c1, c2 and c3.
When we convert the SqlNode to RelNode using
`SqlToRelConverter.convertQuery()`, the output is similar to this:
LogicalTableModify(table=[t], operation=[INSERT], flattened=[false])
LogicalProject(c1=[$1], c2=[$2], c3=[null:OBJECT])
LogicalValues(tuples=[[{1, 2}]])
Our issue is that the input of `TableModify` always matches the row type of
the target table. However, we'd like to know which columns were assigned to
in the original INSERT statement. We'd like to handle the `c3` differently.
In other words, the INSERT statement above and the following two statements
don't produce the same result:
INSERT INTO t(c1, c2, c3) VALUES(1, 2, null);
Is there a way to know the list of columns? Or to produce a plan such as:
LogicalTableModify(table=[t], operation=[INSERT], flattened=[false],
columns=[c1, c2])
LogicalValues(tuples=[[{1, 2}]])
Viliam
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