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How can you implement custom frame specifications for window functions in Spark SQL when the native support is insufficient?
A
Cache the DataFrame and use iterative processing to apply window logic manually for each custom frame.
B
Extend the Spark SQL parser to include custom frame specifications for window functions.
C
Use UDFs within the window function to simulate the custom frame specification.
D
Rewrite the query without window functions, manually implementing the logic through joins and groupBy operations.
