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Fault Tolerant Data Stream Processing in Cooperation with OLTP Engine

机译:与OLTP引擎合作的容错数据流处理

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In recent years, with the increase of big data and the spread of IoT technology and the continual evolution of hardware technology, the demand for data stream processing is further increased. Meanwhile, in the field of database systems, a new demand for HTAP (hybrid transactional and analytical processing) that integrates the functions of on-line transaction processing (OLTP) and on-line analytical processing (OLAP) is emerging. Based on this background, our group started a new project to develop data stream processing technologies in the HTAP environment in cooperation with other research groups in Japan. Our main focus is to develop new data stream processing methodologies such as fault tolerance in cooperation with the OLAP engine. In this paper, we describe the background, the objectives and the issues of the research.
机译:近年来,随着IOT技术的大数据和传播的增加和硬件技术的持续演变,对数据流处理的需求进一步增加。同时,在数据库系统领域中,对在线事务处理(OLTP)和在线分析处理(OLAP)的功能集成的HTAP(混合交易和分析处理)的新需求是出现的。基于此背景,我们的小组始于与日本其他研究小组合作开发HTAP环境中的数据流处理技术。我们的主要重点是开发新的数据流处理方法,例如与OLAP引擎合作的容错性。在本文中,我们描述了研究的背景,目标和问题。

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