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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Mohammed Al-Kateb
- 2. Paul Sinclair
- 3. Grace Au
- 4. Sanjay Nair
- 5. Mark Sirek
- 6. Lu Ma
- 7. Mohamed Y. Eltabakh
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,214 | Query Optimization Techniques for Partitioned Tables | 2011 | SIGMOD | 7.3661891e-05 |
| 6,029 | Evolving Teradata Decision Support for Massively Parallel Processing with UNIX | 1994 | SIGMOD | 5.2415551e-05 |
Previous
Page 1 / 1
Next