Exhaustive greedy algorithm for optimizing intermediate result sizes of join queries
The size of the intermediate results produced while executing queries has a direct impact on query optimizers. Larger size of intermediate results requires more memory usage and more computational power to evaluate their join predicates. Furthermore, if memory size is not big enough, secondary stora...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2018
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| Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/27486 |
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| Institution: | Mahidol University |