[jira] [Created] (SPARK-41823) Fix DataFrame.join creating ambiguous column names

["Sandeep Singh (Jira)" <ji...@apache.org>]

Sandeep Singh created SPARK-41823:
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             Summary: Fix DataFrame.join creating ambiguous column names
                 Key: SPARK-41823
                 URL: https://issues.apache.org/jira/browse/SPARK-41823
             Project: Spark
          Issue Type: Sub-task
          Components: Connect
    Affects Versions: 3.4.0
            Reporter: Sandeep Singh


{code:java}
File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 898, in pyspark.sql.connect.dataframe.DataFrame.describe
Failed example:
    df.describe(['age']).show()
Exception raised:
    Traceback (most recent call last):
      File "/usr/local/Cellar/python@3.10/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py", line 1350, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.connect.dataframe.DataFrame.describe[1]>", line 1, in <module>
        df.describe(['age']).show()
      File "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", line 832, in describe
        raise TypeError(f"'cols' must be list[str], but got {type(s).__name__}")
    TypeError: 'cols' must be list[str], but got list {code}



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