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Consider a Delta Lake table that is heavily impacted by 'smalls' (tiny files, scanning overhead, over partitioning). Describe in detail how you would redesign the data processing pipeline to mitigate these issues, focusing on the use of CDF and proper partitioning strategies. Provide a code snippet illustrating the key changes.
Consider a Delta Lake table that is heavily impacted by 'smalls' (tiny files, scanning overhead, over partitioning). Describe in detail how you would redesign the data processing pipeline to mitigate these issues, focusing on the use of CDF and proper partitioning strategies. Provide a code snippet illustrating the key changes.
Explanation:
To mitigate issues caused by small files and over partitioning, one can redesign the data processing pipeline to use larger files and fewer partitions. Leveraging CDF can help track changes efficiently, and proper partitioning strategies can ensure optimal query performance. This approach involves adjusting the data ingestion and processing steps to create larger, more efficient partitions.