Higher order Array functions such as filter, map and reduce are great for functional programming, but they can incur performance problems. var ary = [1,2,3,4,5,6]; var res = ary.filter(function(x, i, arr){ console.log("filter: " + x); console.lo…
[CS61A] Lecture 5&6&7. Environments & Design & Functions Examples & Homework 2: Higher Order Functions Lecture Lecture 5. Environments 环境是编程语言中的一大命题,每个变量.函数都拥有它们所属的环境,也被称为作用域. 作用域在高阶函数中起到重要的作用,高阶函数中的变量因为作用域起到了状态的表示作用,使得多次调用特定的函数能够返回不同的…
Introduction This chapter will present an implementation recipe for an enterprise log storage and a search and analysis solution based on the Storm processor. Log data processing isn't necessarily a problem that needs solving again; it is, however, a…
转自:https://wso2.com/library/articles/2018/02/stream-processing-101-from-sql-to-streaming-sql-in-ten-minutes/ We have entered an era where competitive advantage comes from analyzing, understanding, and responding to an organization’s data. When doing…
http://engineering.linkedin.com/data-streams/apache-samza-linkedins-real-time-stream-processing-framework http://samza.incubator.apache.org/ 前两年一直在使用Kafka, 虽说Kafka一直说可用于online分析, 但是实际在使用的时候会发现问题很多, 比如deploy, 调度, failover等, 我们也做了一些相应的工作 Samza算是把这个补全了,…
从总体上看:akka-stream是由数据源头Source,流通节点Flow和数据流终点Sink三个框架性的流构件(stream components)组成的.这其中:Source和Sink是stream的两个独立端点,而Flow处于stream Source和Sink中间可能由多个通道式的节点组成,每个节点代表某些数据流元素转化处理功能,它们的链接顺序则可能代表整体作业的流程.一个完整的数据流(可运行数据流)必须是一个闭合的数据流,即:从外表上看,数据流两头必须连接一个Source和一个Sin…
January 25, 2019Use Cases, Apache Flink The Big Data Team at Tencent     In recent years, the increasing need for timeliness, together with advances in software and hardware technologies, drive the emergence of real-time stream processing. Real-time…
转自:https://blog.minio.io/stream-processing-with-apache-flink-and-minio-10da85590787 Modern technology trends like Machine Learning, Deep Learning, Artificial intelligence, and IoT have pushed the need for a reliable, scaleable storage platform that i…
原文:https://iwringer.wordpress.com/2015/08/03/patterns-for-streaming-realtime-analytics/ Introduction More and more use cases, we want to react to data faster, rather than storing them in a disk and periodically processing and acting on the data. This…
不多说,直接上干货! 一切来源于官网 http://kafka.apache.org/documentation/ Stream Processing 流处理 Many users of Kafka process data in processing pipelines consisting of multiple stages, where raw input data is consumed from Kafka topics and then aggregated, enriched,…