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From "Jash Gala (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-26879) Inconsistency in default column names for functions like inline and stack
Date Thu, 14 Feb 2019 15:06:00 GMT
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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