半人马座:一个动态解析器生成器,用于并行自组织数据提取

Shigeyuki Sato, Hiroka Ihara, K. Taura
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引用次数: 0

摘要

:处理XML、JSON和CSV等文本格式的大规模数据非常重要,因为这些数据经常出现在数据交换中。对于这些数据,特别的数据提取是非常可取的,而不是将数据摄取到数据库中。临时数据提取的主要问题是既要满足可编程性,以便直观地处理各种类型的数据,又要满足大规模数据的性能。为了实现这一目标,我们开发了C entaurus,这是一个用于并行临时数据提取的动态解析器生成器库。本文介绍了C - entaurus的设计与实现。在临时数据提取方面的实验结果表明,C entaurus在处理XML和JSON方面的性能优于c++中的快速专用解析器库,并且通过Python实现的操作实现了出色的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CENTAURUS: A Dynamic Parser Generator for Parallel Ad Hoc Data Extraction
: It is important to handle large-scale data in text formats such as XML, JSON, and CSV because these data very often appear in data exchange. For these data, instead of data ingestion to databases, ad hoc data extraction is highly desirable. The main issue of ad hoc data extraction is to serve both the programmability to allow handling various types of data intuitively and the performance for large-scale data. To pursue it, we develop C entaurus , a dynamic parser generator library for parallel ad hoc data extraction. This paper presents the design and implementation of C entaurus . The experimental results on ad hoc data extraction have demonstrated that C entaurus outperformed fast dedicated parser libraries in C ++ for XML and JSON, and achieved excellent scalability with actions implemented in Python.
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