sadikovi opened a new pull request, #37833:
URL: https://github.com/apache/spark/pull/37833
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### What changes were proposed in this pull request?
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This PR fixes an issue in `arrays_zip` function where a field index was used
as a column name in the resulting schema which was a regression from Spark 3.1.
With this change, the original behaviour is restored: a corresponding struct
field name will be used instead of a field index.
Example:
```sql
with q as (
select
named_struct(
'my_array', array(1, 2, 3),
'my_array2', array(4, 5, 6)
) as my_struct
)
select
arrays_zip(my_struct.my_array, my_struct.my_array2)
from
q
```
would return schema:
```
root
|-- arrays_zip(my_struct.my_array, my_struct.my_array2): array (nullable =
false)
| |-- element: struct (containsNull = false)
| | |-- 0: integer (nullable = true)
| | |-- 1: integer (nullable = true)
```
which is somewhat inaccurate. PR adds handling of `GetStructField`
expression to return the struct field names like this:
```
root
|-- arrays_zip(my_struct.my_array, my_struct.my_array2): array (nullable =
false)
| |-- element: struct (containsNull = false)
| | |-- my_array: integer (nullable = true)
| | |-- my_array2: integer (nullable = true)
```
### Why are the changes needed?
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### Does this PR introduce _any_ user-facing change?
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Yes, `arrays_zip` function returns struct field names now as in Spark 3.1
instead of field indices.
Some users might have worked around this issue so this patch would affect
them by bringing back the original behaviour.
### How was this patch tested?
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Existing unit tests. I also added a test case that reproduces the problem.
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