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New Bucket Join Algorithm for Faster Join Query Results

机译:新的存储桶联接算法可加快联接查询结果

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摘要

Join is the most expensive and the frequent operation in database. Significant numbers of join queries are executed in the interactive applications. In interactive applications the first few thousand results need to be produced without any delay. The current join algorithms are mainly based on hash join or sort merge join which is less suitable for interactive applications because some pre-work is required by these algorithms before it could produce the join results. The nested loop join technique produces the results without any delay, but it needs more comparisons to produce the join results as it carries the tuples which will not yield any join results till the end of the join operation. In this paper we present a new join algorithm called bucket join which will over comes the limitations of hash based and sort based algorithms. In this new join algorithm the tuples are divided into buckets without any pre-work. The matched tuples and the tuples which will not produce the join results are eliminated during each phase thus the no. of comparison required to produce the join results are considerable low when compared to the other join algorithms. Thus, the bucket join algorithm can replace the other early join algorithms in any situation where a fast initial response time is required without any penalty in the memory usage and I/O operations.
机译:连接是数据库中最昂贵,最频繁的操作。在交互式应用程序中执行了大量的联接查询。在交互式应用程序中,需要立即生成前几千个结果。当前的联接算法主要基于散列联接或排序合并联接,这不太适合交互式应用程序,因为这些算法在产生联接结果之前需要进行一些准备工作。嵌套循环联接技术可以立即产生结果,但是它需要进行更多比较才能产生联接结果,因为它带有元组,直到联接操作结束,才产生任何联接结果。在本文中,我们提出了一种称为桶联接的新联接算法,它将克服基于散列和基于排序的算法的局限性。在这种新的联接算法中,元组被分为多个桶,而无需进行任何前功。在每个阶段都消除了匹配的元组和将不会产生连接结果的元组,因此否。与其他联接算法相比,产生联接结果所需的比较系数非常低。因此,在需要快速初始响应时间的任何情况下,桶联接算法都可以替代其他早期联接算法,而不会影响内存使用和I / O操作。

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