野火:并发燃烧数据摄取和分析

Ronald Barber, Matthew Huras, G. Lohman, C. Mohan, René Müller, Fatma Özcan, H. Pirahesh, Vijayshankar Raman, Richard Sidle, O. Sidorkin, Adam J. Storm, Yuanyuan Tian, Pınar Tözün
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引用次数: 16

摘要

我们通过Wildfire原型在Spark平台上演示了混合事务和分析处理(HTAP),它可以在每个节点上每秒摄取多达600万次插入,并同时执行复杂的SQL分析查询。在这里,一个简化的移动应用程序使用Wildfire向移动客户推荐广告,根据他们与商店的距离以及他们对这些商店销售的产品的兴趣,同时随着这些客户移动和购买广告,不断绘制分析结果的图表。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wildfire: Concurrent Blazing Data Ingest and Analytics
We demonstrate Hybrid Transactional and Analytics Processing (HTAP) on the Spark platform by the Wildfire prototype, which can ingest up to ~6 million inserts per second per node and simultaneously perform complex SQL analytics queries. Here, a simplified mobile application uses Wildfire to recommend advertising to mobile customers based upon their distance from stores and their interest in products sold by these stores, while continuously graphing analytics results as those customers move and respond to the ads with purchases.
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