探索编程代码中显式查询的编译时缓存

Venkata Krishna Suhas Nerella, S. Madria, T. Weigert
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引用次数: 0

摘要

面向对象编程语言通过在程序代码中显式地合并第一类查询构造来提高抽象级别。这些查询构造允许程序员将集合上的操作表示为对象查询,并利用数据库域的查询优化策略提供最佳查询执行。然而,当一个查询在程序中重复时,它将被重新执行。本文提出了一种通过缓存重复查询的结果和增量维护缓存结果来减少涉及显式查询的程序的运行时执行的方法。我们建议在编译时通过执行程序分析来确定缓存项。我们还描述了用于确定缓存哪些查询的缓存启发式方法。
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Exploring Compile Time Caching of Explicit Queries in Programming Codes
Object oriented programming languages raised the level of abstraction by incorporating first class query constructs explicitly in the program codes. These query constructs allow programmers to express operations over collections as object queries and also provide optimal query execution utilizing query optimization strategies from domain of databases. However, when a query is repeated in the program, it is executed afresh. This paper presents an approach to reduce the run time execution of programs involving explicit queries by caching the results of repeated queries and incrementally maintaining the cached results. We propose determination of cache entries at compile time by performing the program analysis. We also describe the cache heuristics for determining which queries to cache.
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