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Query Optimization in OODBMS: Identifying Subquery for Complex Query Management

机译:OODBMS中的查询优化:确定用于复杂查询管理的子查询

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This paper is based on relatively newer approach for query optimization in object databases,which uses query decomposition and cached query results to improve execution a query. Issuesthat are focused here is fast retrieval and high reuse of cached queries, Decompose Query intoSub query, Decomposition of complex queries into smaller for fast retrieval of result.Here we try to address another open area of query caching like handling wider queries. Byusing some parts of cached results helpful for answering other queries (wider Queries) andcombining many cached queries while producing the result.Multiple experiments were performed to prove the productivity of this newer way of optimizinga query. The limitation of this technique is that it’s useful especially in scenarios where datamanipulation rate is very low as compared to data retrieval rate.
机译:本文基于相对较新的对象数据库查询优化方法,该方法使用查询分解和缓存的查询结果来改善查询的执行。这里关注的问题是快速检索和高速缓存的查询的重用,将查询分解为子查询,将复杂的查询分解为较小的以便快速检索结果。在这里,我们尝试解决另一个查询缓存的开放区域,例如处理更宽泛的查询。通过使用缓存结果的某些部分有助于回答其他查询(更广泛的查询),并在生成结果时结合许多缓存的查询。进行了多次实验,以证明这种优化查询新方法的生产率。该技术的局限性在于,它特别适用于数据处理率与数据检索率相比非常低的情况。

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