Jash Gala created SPARK-26879:
---------------------------------
Summary: Inconsistency in default column names for functions like
inline and stack
Key: SPARK-26879
URL: https://issues.apache.org/jira/browse/SPARK-26879
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.4.0
Reporter: Jash Gala
While looking at the default column names used by inline and stack, I found
that inline uses col1, col2, etc. (i.e. 1-indexed columns), while stack uses
col0, col1, col2, etc. (i.e. 0-indexed columns).
{{
scala> spark.sql("SELECT stack(2, 1, 2, 3)").show
|------+------|
| col0 | col1 |
|------+------|
| 1 | 2 |
| 3 | null |
|------+------|
scala> spark.sql("SELECT inline_outer(array(struct(1, 'a'), struct(2,
'b')))").show
|------+------|
| col1 | col2 |
|------+------|
| 1 | a |
| 2 | b |
|------+------|
}}
This feels like an issue with consistency. As discussed on [PR
#23748|https://github.com/apache/spark/pull/23748], it might be a good idea to
standardize this to something specific (like zero-based indexing).
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