[ 
https://issues.apache.org/jira/browse/SPARK-41831?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sandeep Singh updated SPARK-41831:
----------------------------------
    Description: 
{code:java}
File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 1168, in pyspark.sql.connect.dataframe.DataFrame.transform
Failed example:
    df.transform(cast_all_to_int).transform(sort_columns_asc).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.transform[4]>", 
line 1, in <module>
        df.transform(cast_all_to_int).transform(sort_columns_asc).show()
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 1102, in transform
        result = func(self, *args, **kwargs)
      File "<doctest pyspark.sql.connect.dataframe.DataFrame.transform[2]>", 
line 2, in cast_all_to_int
        return input_df.select([col(col_name).cast("int") for col_name in 
input_df.columns])
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 86, in select
        return DataFrame.withPlan(plan.Project(self._plan, *cols), 
session=self._session)
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
344, in __init__
        self._verify_expressions()
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
350, in _verify_expressions
        raise InputValidationError(
    pyspark.sql.connect.plan.InputValidationError: Only Column or String can be 
used for projections: '[Column<'(ColumnReference(int) (int))'>, 
Column<'(ColumnReference(float) (int))'>]'.
**********************************************************************
File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 1179, in pyspark.sql.connect.dataframe.DataFrame.transform
Failed example:
    df.transform(add_n, 1).transform(add_n, n=10).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.transform[6]>", 
line 1, in <module>
        df.transform(add_n, 1).transform(add_n, n=10).show()
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 1102, in transform
        result = func(self, *args, **kwargs)
      File "<doctest pyspark.sql.connect.dataframe.DataFrame.transform[5]>", 
line 2, in add_n
        return input_df.select([(col(col_name) + n).alias(col_name)
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 86, in select
        return DataFrame.withPlan(plan.Project(self._plan, *cols), 
session=self._session)
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
344, in __init__
        self._verify_expressions()
      File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
350, in _verify_expressions
        raise InputValidationError(
    pyspark.sql.connect.plan.InputValidationError: Only Column or String can be 
used for projections: '[Column<'Alias(+(ColumnReference(int), Literal(1)), 
(int))'>, Column<'Alias(+(ColumnReference(float), Literal(1)), 
(float))'>]'.{code}

  was:
{code:java}
File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 401, in pyspark.sql.connect.dataframe.DataFrame.sample
Failed example:
    df.sample(0.5, 3).count()
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.sample[1]>", line 
1, in <module>
        df.sample(0.5, 3).count()
    TypeError: DataFrame.sample() takes 2 positional arguments but 3 were given
**********************************************************************
File 
"/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
line 411, in pyspark.sql.connect.dataframe.DataFrame.sample
Failed example:
    df.sample(False, fraction=1.0).count()
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.sample[6]>", line 
1, in <module>
        df.sample(False, fraction=1.0).count()
    TypeError: DataFrame.sample() got multiple values for argument 
'fraction'{code}


> DataFrame.transform: Only Column or String can be used for projections
> ----------------------------------------------------------------------
>
>                 Key: SPARK-41831
>                 URL: https://issues.apache.org/jira/browse/SPARK-41831
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Sandeep Singh
>            Priority: Major
>
> {code:java}
> File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 1168, in pyspark.sql.connect.dataframe.DataFrame.transform
> Failed example:
>     df.transform(cast_all_to_int).transform(sort_columns_asc).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.transform[4]>", 
> line 1, in <module>
>         df.transform(cast_all_to_int).transform(sort_columns_asc).show()
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 1102, in transform
>         result = func(self, *args, **kwargs)
>       File "<doctest pyspark.sql.connect.dataframe.DataFrame.transform[2]>", 
> line 2, in cast_all_to_int
>         return input_df.select([col(col_name).cast("int") for col_name in 
> input_df.columns])
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 86, in select
>         return DataFrame.withPlan(plan.Project(self._plan, *cols), 
> session=self._session)
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
> 344, in __init__
>         self._verify_expressions()
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
> 350, in _verify_expressions
>         raise InputValidationError(
>     pyspark.sql.connect.plan.InputValidationError: Only Column or String can 
> be used for projections: '[Column<'(ColumnReference(int) (int))'>, 
> Column<'(ColumnReference(float) (int))'>]'.
> **********************************************************************
> File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 1179, in pyspark.sql.connect.dataframe.DataFrame.transform
> Failed example:
>     df.transform(add_n, 1).transform(add_n, n=10).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.transform[6]>", 
> line 1, in <module>
>         df.transform(add_n, 1).transform(add_n, n=10).show()
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 1102, in transform
>         result = func(self, *args, **kwargs)
>       File "<doctest pyspark.sql.connect.dataframe.DataFrame.transform[5]>", 
> line 2, in add_n
>         return input_df.select([(col(col_name) + n).alias(col_name)
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py", 
> line 86, in select
>         return DataFrame.withPlan(plan.Project(self._plan, *cols), 
> session=self._session)
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
> 344, in __init__
>         self._verify_expressions()
>       File 
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/plan.py", line 
> 350, in _verify_expressions
>         raise InputValidationError(
>     pyspark.sql.connect.plan.InputValidationError: Only Column or String can 
> be used for projections: '[Column<'Alias(+(ColumnReference(int), Literal(1)), 
> (int))'>, Column<'Alias(+(ColumnReference(float), Literal(1)), 
> (float))'>]'.{code}



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