Apache Samza框架中有效的多流连接

Zhenyun Zhuang, Tao Feng, Yi Pan, H. Ramachandra, B. Sridharan
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引用次数: 16

摘要

在商业环境中越来越多地采用大数据,推动了对实时流连接的需求。多流连接是当今互联网公司中一种重要的流处理方式,它已被用于在业务管道中生成更高质量的数据。多流连接有两种方式:(1)All-In-One (AIO)连接和(2)step - step (SBS)连接。这两种模型在内存占用、连接延迟、部署复杂性等方面各有优缺点。在这项工作中,我们使用Apache Samza分析与这两个模型相关的性能权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Multi-stream Joining in Apache Samza Framework
Increasing adoption of Big Data in business environments have driven the needs of stream joining in realtime fashion. Multi-stream joining is an important stream processing type in today's Internet companies, and it has been used to generate higher-quality data in business pipelines. Multi-stream joining can be performed in two models: (1) All-In-One (AIO) Joining and (2) Step-By-Step (SBS) Joining. Both models have advantages and disadvantages with regard to memory footprint, joining latency, deployment complexity, etc. In this work, we analyze the performance tradeoffs associated with these two models using Apache Samza.
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