April 2019
Beginner to intermediate
308 pages
8h 31m
English
Content preview from Stream Processing with Apache Flink
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 3. The Architecture of Apache Flink
Chapter 2 discussed important concepts of distributed stream processing, such as parallelization, time, and state. In this chapter, we give a high-level introduction to Flink’s architecture and describe how Flink addresses the aspects of stream processing we discussed earlier. In particular, we explain Flink’s distributed architecture, show how it handles time and state in streaming applications, and discuss its fault-tolerance mechanisms. This chapter provides relevant background information to successfully implement and operate advanced streaming applications with Apache Flink. It will help you to understand Flink’s internals and to reason about the performance and behavior of streaming applications.
System Architecture
Flink is a distributed system for stateful parallel data stream processing. A Flink setup consists of multiple processes that typically run distributed across multiple machines. Common challenges that distributed systems need to address are allocation and management of compute resources in a cluster, process coordination, durable and highly available data storage, and failure recovery.
Flink does not implement all this functionality by itself. Instead, it focuses on its core function—distributed data stream processing—and leverages existing cluster infrastructure and services. Flink is well integrated with cluster resource managers, such as Apache Mesos, YARN, and Kubernetes, but can also be configured to run as a ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.