Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Strategi Pengindeksan× | Pengoptimuman Pertanyaan× | |
|---|---|---|
| Bidang | Sistem Maklumat | Sistem Maklumat |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 1972 | 1979 |
| Pengasas≠ | Rudolf Bayer and Edward M. McCreight | IBM San Jose Research Laboratory |
| Jenis | Database optimization technique | Database optimization technique |
| Sumber perintis≠ | 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 ↗ |
| Alias≠ | index design, indexing | — |
| Berkaitan≠ | 1 | 2 |
| Ringkasan≠ | 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. |
| ScholarGateSet data ↗ |
|
|