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| Βελτιστοποίηση Ερωτημάτων× | Στρατηγική Ευρετηρίασης× | |
|---|---|---|
| Πεδίο | Πληροφοριακά Συστήματα | Πληροφοριακά Συστήματα |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1979 | 1972 |
| Δημιουργός≠ | IBM San Jose Research Laboratory | Rudolf Bayer and Edward M. McCreight |
| Τύπος | Database optimization technique | Database optimization technique |
| Θεμελιώδης πηγή≠ | Jarke, M., & Koch, J. (1984). Query optimization in database systems. ACM Computing Surveys, 16(2), 111-152. DOI ↗ | Bayer, R., & McCreight, E. (1972). Organization and maintenance of large ordered indices. Acta Informatica, 1(3), 173-189. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | — | index design, indexing |
| Συναφείς≠ | 2 | 1 |
| Σύνοψη≠ | Query optimization is a critical process in database management that transforms high-level SQL queries into efficient execution plans. Developed systematically by IBM researchers in the late 1970s, it aims to minimize execution time, disk I/O, and resource consumption by selecting the most effective access paths and join strategies. | Indexing strategy is the practice of systematically designing database indexes to accelerate query performance. Developed following Bayer and McCreight's foundational B-tree work in 1972, effective indexing requires analyzing query patterns, choosing appropriate index structures, and maintaining index health as data evolves. |
| ScholarGateΣύνολο δεδομένων ↗ |
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