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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)

Paper ID
14337
Venue
VLDB
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,295 | 28.38%
DOI
10.14778/3778092.3778110

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