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| Στρατηγική Ευρετηρίασης× | Βελτιστοποίηση Ερωτημάτων× | |
|---|---|---|
| Πεδίο | Πληροφοριακά Συστήματα | Πληροφοριακά Συστήματα |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1972 | 1979 |
| Δημιουργός≠ | Rudolf Bayer and Edward M. McCreight | IBM San Jose Research Laboratory |
| Τύπος | Database optimization technique | Database optimization technique |
| Θεμελιώδης πηγή≠ | Bayer, R., & McCreight, E. (1972). Organization and maintenance of large ordered indices. Acta Informatica, 1(3), 173-189. DOI ↗ | Jarke, M., & Koch, J. (1984). Query optimization in database systems. ACM Computing Surveys, 16(2), 111-152. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | index design, indexing | — |
| Συναφείς≠ | 1 | 2 |
| Σύνοψη≠ | 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. | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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