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Pengoptimuman Pertanyaan×Strategi Pengindeksan×
BidangSistem MaklumatSistem Maklumat
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19791972
PengasasIBM San Jose Research LaboratoryRudolf Bayer and Edward M. McCreight
JenisDatabase optimization techniqueDatabase optimization technique
Sumber perintisJarke, 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 ↗
Aliasindex design, indexing
Berkaitan21
RingkasanQuery 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.
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ScholarGateBandingkan kaedah: Query Optimization · Indexing Strategy. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare