本文利用数据分片和并行处理策略，提出一种采用直接连接的查询优化算法，能有效地缩减查询处理的响应时间。
This paper presents an optimized query algorithm, which adopts direct-join using data partition and parallel processing. It can reduce the response time of query process.
对于使用超大数据集工作的开发者来说，水平的分区和分片都是很重要的工具。
Horizontal partitioning is an important tool for developers working with extremely large datasets.
对于横向分片数据，Mnesia在伸缩性和低延迟事务上表现突出，接下来的一个挑战可能是对于超大规模数据集它如何伸展。
While Mnesia excels at scalability and low latency in transactions on horizontally fragmented data, one remaining challenge may be how it will scale in terms of very large datasets.
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