Answer-first summary for fast verification
Answer: Use Apache Arrow to facilitate zero-copy data transfers between Spark and pandas.
Using Apache Arrow for data transfers between Spark and pandas minimizes overhead by enabling zero-copy reads, which significantly reduces the time and resources required for serialization and deserialization. This approach is highly effective in optimizing performance for large-scale data processing tasks.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are tasked with optimizing the performance of a data processing pipeline that involves converting a Spark DataFrame to a pandas DataFrame for further analysis. What strategy would you employ to minimize the overhead associated with this conversion?
A
Reduce the number of columns in the Spark DataFrame before conversion.
B
Use Apache Arrow to facilitate zero-copy data transfers between Spark and pandas.
C
Increase the number of partitions in the Spark DataFrame.
D
Convert the Spark DataFrame to a pandas DataFrame in batches.
No comments yet.