流数据处理的博文

[2] If you poke around enough in the academic literature or SQL-based streaming systems,you’ll also come across a third windowing time domain: tuple-based windowing (i.e.,windows whose sizes are counted in numbers of elements). However,tuple-based windowing is essentially a form of processing-time windowing where elements are assigned monotonically increasing timestamps as they arrive at the system. As such,we won’t discuss tuple-based windowing in detail here (though we will see an example of it in Part 2). (Return)

Article image: Three women wading in a stream gathering leeches (source: Wellcome Library,London).

Tyler Akidau

Tyler Akidau is a staff software engineer at Google. The current tech lead for internal streaming data processing systems (e.g. "MillWheel"),he’s spent five years working on massive-scale streaming data processing systems. He passionately believes in streaming data processing as the more general model of large-scale computation. His preferred mode of transportation is by cargo bike,with his two young daughters in tow.

（编辑：应用网_阳江站长网）

【声明】本站内容均来自网络，其相关言论仅代表作者个人观点，不代表本站立场。若无意侵犯到您的权利，请及时与联系站长删除相关内容!