The code block shown below contains an error. The code block is intended to return a new DataFrame that is the result of a position-wise union between DataFrame storesDF and DataFrame acquiredStoresDF. Identify the error.
Code block:
storesDF.unionByName(acquiredStoresDF)
The DataFrame.unionByName() operation does not union DataFrames based on column position – it unions DataFrames based on column names. Therefore, the error is in attempting a position-wise union with this method. To achieve a position-wise union, the correct method to use would be union(), which performs a union regardless of column names.
The error in the code block is: C. The DataFrame.unionByName() operation does not union DataFrames based on column position – it uses column name instead. The unionByName() operation performs a position-wise union based on column names, not based on column positions. Therefore, the error in the code block is that the intended operation should be union(), which performs a position-wise union regardless of column names. The correct code block to perform a position-wise union between DataFrame storesDF and DataFrame acquiredStoresDF would be: storesDF.union(acquiredStoresDF)
C is correct - https://spark.apache.org/docs/3.1.1/api/python/reference/api/pyspark.sql.DataFrame.unionByName.html
C is correct according to documentation: https://spark.apache.org/docs/3.1.1/api/python/reference/api/pyspark.sql.DataFrame.unionByName.html "The difference between this function and union() is that this function resolves columns by name (not by position)"