What could explain the observed smaller file sizes in a Delta Lake table with frequent Changes Data Capture operations?

The observation of smaller file sizes in a Delta Lake table during frequent Change Data Capture (CDC) operations can be attributed to choosing a smaller target file size for optimizing MERGE operations.

In Delta Lake, when performing operations like MERGE, having smaller file sizes can significantly enhance performance. Smaller files can result in more efficient read and write operations because they allow the underlying processing engine to quickly access relevant data without having to scan through larger files. This leads to less data shuffling and improved query performance, especially in tables with frequent updates or changes.

Focusing on a smaller target file size helps ensure that each change is encapsulated in appropriately sized data files, minimizing the overall processing overhead and making it easier to manage the table as data continually evolves through CDC operations. This approach aligns with best practices in data lake management where frequent updates are expected, and optimizing for performance and efficiency is critical.

Other options do not accurately explain the behavior of smaller file sizes in this context. They suggest possibilities like preventing compaction or ignoring regulations, but these scenarios do not directly enhance the performance of MERGE operations like a strategic choice for smaller target file sizes does.