Joins over UNION ALL Queries in Teradata®: Demonstration of Optimized Execution
Summary: Demonstrates cost-based optimization for joins over UNION ALL views. Replaces spooling with: pushing joins into UNION ALL branches, geography-aware redistribution, iterative join decomposition, and a multisource join step; Visual Explain support. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mohammed Al-Kateb
- 2. Paul Sinclair
- 3. Grace Au
- 4. Sanjay Nair
- 5. Mark Sirek
- 6. Lu Ma
- 7. Mohamed Y. Eltabakh
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,151 | Query Optimization Techniques for Partitioned Tables | 2011 | SIGMOD | 7.7612975e-05 |
| 6,864 | Evolving Teradata Decision Support for Massively Parallel Processing with UNIX | 1994 | SIGMOD | 5.8190903e-05 |
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