方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 查询优化× | 数据库范式化× | 索引策略× | |
|---|---|---|---|
| 领域 | 信息系统 | 信息系统 | 信息系统 |
| 方法族 | Process / pipeline | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1979 | 1970 | 1972 |
| 提出者≠ | IBM San Jose Research Laboratory | Edgar F. Codd | Rudolf Bayer and Edward M. McCreight |
| 类型≠ | Database optimization technique | Data organization methodology | Database optimization technique |
| 开创性文献≠ | Jarke, M., & Koch, J. (1984). Query optimization in database systems. ACM Computing Surveys, 16(2), 111-152. DOI ↗ | Codd, E. F. (1970). A relational model of data for large shared data banks. Communications of the ACM, 13(6), 377-387. DOI ↗ | Bayer, R., & McCreight, E. (1972). Organization and maintenance of large ordered indices. Acta Informatica, 1(3), 173-189. DOI ↗ |
| 别名≠ | — | — | index design, indexing |
| 相关≠ | 2 | 1 | 1 |
| 摘要≠ | 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. | Database normalization is a systematic process for organizing relational database schemas to eliminate redundancy and enforce data integrity. Introduced by Edgar Codd in 1970-1971 as part of the relational database model, it defines a series of normal forms (1NF through BCNF) that progressively eliminate different types of data anomalies. | 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. |
| ScholarGate数据集 ↗ |
|
|
|