zhengruifeng opened a new pull request, #43930:
URL: https://github.com/apache/spark/pull/43930

   ### What changes were proposed in this pull request?
   Make `Column.__getitem__` accept input column
   
   
   ### Why are the changes needed?
   
   `Column.__getitem__` should accept column as input
   
   ```
   In [1]: from pyspark.sql.functions import col,lit,create_map
      ...: from itertools import chain
      ...:
      ...: mapping = {
      ...:   'A': '20',
      ...:   'B': '28',
      ...:   'C': '34'
      ...: }
      ...:
      ...: x = [['A','10'],['B','14'],['C','17']]
      ...: df = spark.createDataFrame(data=x, schema = ["key", "value"])
      ...:
      ...: mapping_expr = create_map([lit(x) for x in chain(*mapping.items())])
      ...: df = df.withColumn("square_value", mapping_expr[col("key")])
      ...: df.show()
   ---------------------------------------------------------------------------
   PySparkTypeError                          Traceback (most recent call last)
   Cell In[1], line 14
        11 df = spark.createDataFrame(data=x, schema = ["key", "value"])
        13 mapping_expr = create_map([lit(x) for x in chain(*mapping.items())])
   ---> 14 df = df.withColumn("square_value", mapping_expr[col("key")])
        15 df.show()
   
   File ~/Dev/spark/python/pyspark/sql/connect/column.py:465, in 
Column.__getitem__(self, k)
       463     return self.substr(k.start, k.stop)
       464 else:
   --> 465     return Column(UnresolvedExtractValue(self._expr, 
LiteralExpression._from_value(k)))
   
   File ~/Dev/spark/python/pyspark/sql/connect/expressions.py:336, in 
LiteralExpression._from_value(cls, value)
       334 @classmethod
       335 def _from_value(cls, value: Any) -> "LiteralExpression":
   --> 336     return LiteralExpression(value=value, 
dataType=LiteralExpression._infer_type(value))
   
   File ~/Dev/spark/python/pyspark/sql/connect/expressions.py:329, in 
LiteralExpression._infer_type(cls, value)
       323         raise PySparkTypeError(
       324             error_class="CANNOT_INFER_ARRAY_TYPE",
       325             message_parameters={},
       326         )
       327     return ArrayType(LiteralExpression._infer_type(first), True)
   --> 329 raise PySparkTypeError(
       330     error_class="UNSUPPORTED_DATA_TYPE",
       331     message_parameters={"data_type": type(value).__name__},
       332 )
   
   PySparkTypeError: [UNSUPPORTED_DATA_TYPE] Unsupported DataType `Column`.
   ```
   
   
   ### Does this PR introduce _any_ user-facing change?
   yes
   
   ### How was this patch tested?
   added ut
   
   ### Was this patch authored or co-authored using generative AI tooling?
   no


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