Global Hash Tables Strike Back! An Analysis of Parallel GROUP BY Aggregation
Summary: Shows a purpose-built fully-concurrent shared hash table for GROUP BY in morsel-driven systems can match or outperform partitioned aggregation across key cardinality, skew, and thread counts. Analyzes resizing/memory-pressure trade-offs and offers implementer guidelines. (summarized by gpt-5-mini on Mar 13 2026)
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Authors
- 1. Daniel Xue
- 2. Ryan Marcus
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