[jira] [Created] (SPARK-41846) DataFrame aggregation functions : unresolved columns

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

Sandeep Singh created SPARK-41846:
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             Summary: DataFrame aggregation functions : unresolved columns
                 Key: SPARK-41846
                 URL: https://issues.apache.org/jira/browse/SPARK-41846
             Project: Spark
          Issue Type: Sub-task
          Components: Connect
    Affects Versions: 3.4.0
            Reporter: Sandeep Singh


{code}
File "/.../spark/python/pyspark/sql/connect/column.py", line 106, in pyspark.sql.connect.column.Column.eqNullSafe
Failed example:
    df1.join(df2, df1["value"] == df2["value"]).count()
Exception raised:
    Traceback (most recent call last):
      File "/.../miniconda3/envs/python3.9/lib/python3.9/doctest.py", line 1336, in __run
        exec(compile(example.source, filename, "single",
      File "<doctest pyspark.sql.connect.column.Column.eqNullSafe[4]>", line 1, in <module>
        df1.join(df2, df1["value"] == df2["value"]).count()
      File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 151, in count
        pdd = self.agg(_invoke_function("count", lit(1))).toPandas()
      File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 1031, in toPandas
        return self._session.client.to_pandas(query)
      File "/.../spark/python/pyspark/sql/connect/client.py", line 413, in to_pandas
        return self._execute_and_fetch(req)
      File "/.../spark/python/pyspark/sql/connect/client.py", line 573, in _execute_and_fetch
        self._handle_error(rpc_error)
      File "/.../spark/python/pyspark/sql/connect/client.py", line 619, in _handle_error
        raise SparkConnectAnalysisException(
    pyspark.sql.connect.client.SparkConnectAnalysisException: [AMBIGUOUS_REFERENCE] Reference `value` is ambiguous, could be: [`value`, `value`].
{code}



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