Describe the role of an InternalFrame in Pandas API on Spark and how it affects performance compared to native Spark DataFrames. Provide a detailed explanation.

Simulated

InternalFrame is a wrapper around Spark DataFrames that allows for faster data processing.

12.0%

InternalFrame is a data structure used by Pandas API on Spark to mimic the behavior of Pandas DataFrames, which can lead to slower performance due to additional overhead.

61.4%

InternalFrame is a Spark-specific optimization technique that enhances the performance of Pandas API on Spark.

14.5%

InternalFrame is a caching mechanism that improves the speed of data retrieval in Pandas API on Spark.

12.0%

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Describe the role of an InternalFrame in Pandas API on Spark and how it affects performance compared to native Spark DataFrames. Provide a detailed explanation.