Out-of-order Execution of Database Queries
Summary: OoODE enables out-of-order query execution via dynamic decomposition using known parallelism, removing pre-partitioning. Experiments show 2-3x orders-of-magnitude speedup vs serial, up to 2.07x vs optimal partitioning, and 2-4x faster than DBMSs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kazuo Goda
- 2. Yuto Hayamizu
- 3. Hiroyuki Yamada
- 4. Masaru Kitsuregawa
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,492 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 4.7180617e-05 |
| 10,404 | Dynamic Pruning for Recursive Joins | 2025 | SIGMOD | 4.1945683e-05 |
| 10,423 | anagodb: Offering Massive Parallelism for Database Engine | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10,423 | anagodb: Offering Massive Parallelism for Database Engine | 2025 | SIGMOD | 4.1945683e-05 |