Answer-first summary for fast verification
Answer: The `medal` column is present in both DataFrames, causing ambiguity.
The error message indicates an ambiguous reference to the `medal` column, which means this column exists in both DataFrames being joined (`medalDf` and `df`). When all columns from both DataFrames are selected after joining, the `medal` column appears twice. Attempting to select the `medal` column then results in ambiguity because Spark cannot determine which instance of the column to use. For more information, refer to the documentation on Ambiguous Reference errors in Spark.
Author: LeetQuiz Editorial Team
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While executing your code, you encounter the following error message. What could be the potential cause of this error?
A
The right_outer join operation is not supported in Spark.
B
Using multiple select operations in a single line of code is not allowed.
C
Selecting all columns from both DataFrames is not permitted.
D
The medal column is present in both DataFrames, causing ambiguity.
E
The medal column does not exist in any of the DataFrames involved in the join.
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