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Optimizing for Almost Sorted Data: Sort Pushdown in Apache DataFusion

Optimizing for Almost Sorted Data: Sort Pushdown in Apache DataFusion

Data Apache DataFusion Blog
Apache DataFusion now automatically eliminates redundant sorts by using Parquet min/max statistics to reorder files and prune data at runtime.
What: The update adds 'PushdownSort' to classify scans as Exact or Inexact based on file-level statistics. Exact matches allow removing 'SortExec' entirely, while Inexact matches reorder scans and row groups to tighten Top-K dynamic filters, resulting in 2x–49x speedups for LIMIT queries.
Why it matters: This shows how query engines are evolving to treat data layout as a dynamic optimization target rather than just a storage format, reducing the need for explicit index-based sorting.
Deep dive
  • Implements Sort Pushdown to avoid blocking SortExec operators.
  • Uses Parquet min/max statistics to prove global ordering for file groups.
  • Introduces BufferExec to maintain performance parity in parallel plans without blocking sorts.
  • Implements runtime dynamic pruning that uses the Top-K filter to skip row groups across multiple files.
  • Upgrades source ordering to 'Exact' if file min/max ranges are non-overlapping and ordered.
  • Uses 'Inexact' paths to bias scans towards the most promising data for faster filter convergence.
  • Leverages Apache Arrow's RowFilter to skip entire row groups during scanning.
Decoder
  • Sort Pushdown: An optimizer rule that moves sorting requirements closer to the data scan, potentially eliminating them.
  • Virtual Concatenation: A method of reading multiple sorted files as a single contiguous stream by ensuring ranges do not overlap.
  • Top-K: A query pattern returning the N largest or smallest values, optimized by tracking the threshold of the Nth value seen so far.
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