英文:
What are the benefits of using windowing in Apache Beam?
问题
对于一个流式作业，如果我们实现固定窗口的窗口操作，会对性能或扩展性有帮助吗？
我已经查阅了窗口操作的文档，但它没有提到任何性能改进或扩展性改进的信息。
我们有一个作业，将消耗来自不同服务的事件，我们不希望将它们分组，因为它们独立地传输。
提前感谢。
英文:
For a streaming job, if we implement windowing like Fixed Windowing. Will it help in terms of performance or scalling? <br>I have checked windowing documentation but it doesn't mention anything about performance improvement or scalling improvements.<br> <br>
We have a job which will be consuming events which are from different services we don't really want to group them as they sinks independetly of each other.<br>
Thanks in Advance.
答案1
得分: 1
窗口化是一个基本概念，有助于将无限的数据集分割成有限的、可管理的子集，称为窗口。窗口化的概念用于根据时间或其他标准对数据进行分组和处理，实现基于时间的聚合、会话化等操作。它在处理流式和批处理数据处理场景中起着至关重要的作用。<br><br>由于窗口化涉及在固定窗口上进行分组和使用聚合函数进行简单计算，因此可以说窗口化有助于性能。<br>有关窗口化的官方文档可以在这里找到。<br>
英文:
Windowing is a fundamental concept that helps in dividing an unbounded collection of data into finite, manageable subsets called windows. The concept of windowing is used to group and process data based on time or other criteria, enabling time-based aggregations, sessionization, and more. It plays a crucial role in handling streaming and batch data processing scenarios.<br><br>Since Windowing involves grouping and easy calculations using aggregate functions over the fixed windows, it can be said that windowing does help in performance. <br>Official documentation on windowing can be found here.<br>
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