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A worst-case optimal join algorithm is an algorithm for computing relational joins with a runtime that is bounded by the worst-case output size of the join. Traditional binary join algorithms such as hash join operate over two relations at a time; joins between more than two relations are implemented by repeatedly applying binary joins. Worst-case…
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worst-case optimal join algorithm joins algorithms binary implemented doi issn e-matching ngo hung ré christopher rudra atri acm 16 10
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Worst-case optimal join algorithm | is a | algorithm for computing relational joins with a runtime that is bounded by the worst-case output size of the join | 0.90 | text |
| hash join operate over two relations at a time | instance of | Traditional binary join algorithms | 0.80 | text |
| Worst-case optimal join algorithm | related to Sources | Ngo | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Hung | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Porat | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Ely | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Ré | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Christopher | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Rudra | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Atri | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Worst-case Optimal Join Algorithms | 0.60 | section |
| Worst-case optimal join algorithm | related to Sources | Journal | 0.60 | section |
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