vincev commented on code in PR #7044:
URL: https://github.com/apache/arrow-datafusion/pull/7044#discussion_r1270759281
##########
datafusion/expr/src/logical_plan/plan.rs:
##########
@@ -1753,6 +1754,23 @@ pub enum Partitioning {
}
/// Unnest a column that contains a nested list type.
+///
+/// For example, calling unnest(c1) results in the following:
Review Comment:
Yes when I implemented `unnest_column` I followed the logic in Pandas and
Polars:
```
ints shape_id
[3, 88, 94] 1
[73] 2
None 3
[43, 97] 4
None 5
[65] 6
```
by unnesting `ints` we get:
```
ints shape_id
3 1
88 1
94 1
73 2
None 3
43 4
97 4
None 5
65 6
```
that I think is better because you preserve all the information that was in
the nested data and if then you want to nest the data again you get back the
same data you started with.
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