By Sean T. Allen, Matthew Jankowski, Peter Pathirana

Summary

Storm Applied is a pragmatic advisor to utilizing Apache hurricane for the real-world projects linked to processing and studying real-time info streams. This instantly helpful ebook begins by way of development a superb starting place of typhoon necessities so you how to take into consideration designing typhoon recommendations the precise manner from day one. however it quick dives into real-world case reviews that may convey the amateur on top of things with productionizing Storm.

Purchase of the print e-book features a loose e-book in PDF, Kindle, and ePub codecs from Manning Publications.

Summary

Storm Applied is a realistic advisor to utilizing Apache typhoon for the real-world initiatives linked to processing and examining real-time info streams. This instantly beneficial ebook starts off through construction a superior starting place of typhoon necessities so you how to take into consideration designing typhoon ideas the suitable manner from day one. however it speedy dives into real-world case stories that might carry the amateur up to the mark with productionizing Storm.

About the Technology

It’s difficult to make feel out of knowledge whilst it’s coming at you speedy. Like Hadoop, hurricane approaches quite a lot of info however it does it reliably and in actual time, ensuring that each message might be processed. typhoon enables you to scale along with your information because it grows, making it an exceptional platform to resolve your monstrous info problems.

About the Book

Storm Applied is an example-driven consultant to processing and examining real-time facts streams. This instantly beneficial publication starts off through educating you the way to layout hurricane ideas the fitting method. Then, it quick dives into real-world case stories that enable you to scale a high-throughput circulate processor, be sure delicate operation inside a construction cluster, and extra. alongside the way in which, you’ll learn how to use Trident for stateful circulation processing, in addition to different instruments from the typhoon ecosystem.

This e-book strikes in the course of the fundamentals quick. whereas past event with typhoon isn't really assumed, a few event with monstrous facts and real-time structures is helpful.

What’s Inside

  • Mapping actual difficulties to typhoon components
  • Performance tuning and scaling
  • Practical troubleshooting and debugging
  • Exactly-once processing with Trident

About the Authors

Sean Allen, Matthew Jankowski, and Peter Pathirana lead the advance staff for a high-volume, search-intensive advertisement internet software at TheLadders.

Table of Contents

  1. Introducing Storm
  2. Core typhoon concepts
  3. Topology design
  4. Creating strong topologies
  5. Moving from neighborhood to distant topologies
  6. Tuning in Storm
  7. Resource contention
  8. Storm internals
  9. Trident

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Additional info for Storm Applied: Strategies for real-time event processing

Sample text

2 Breaking down the problem We know we want to go from a feed of commit messages to an in-memory map of emails/commit counts, but we haven’t defined how to get there. At this point, breaking down the problem into a series of smaller steps helps. We define these steps in terms of components that accept input, perform a calculation on that input, and produce some output. The steps should provide a way to get from our starting point to our desired ending point. We’ve come up with the following components for this problem: 1 2 3 A component that reads from the live feed of commits and produces a single commit message A component that accepts a single commit message, extracts the developer’s email from that commit, and produces an email A component that accepts the developer’s email and updates an in-memory map where the key is the email and the value is the number of commits for that email In this chapter we break down the problem into several components.

This section will start with the code for the individual spout and bolts and introduce the relevant Storm interfaces and classes. Some of these interfaces and classes you’ll use directly and some you won’t; regardless, understanding the overall Storm API hierarchy will give you a fuller understanding of your topology and associated code. After we’ve introduced the code for the spout and bolts, we’ll go over the code required for putting it all together. If you remember from our earlier discussion, our topology contains streams and stream groupings.

12 Individual instances of a bolt can emit to any number of instances of another bolt. com> 22 CHAPTER 2 Core Storm concepts Understanding the breakdown of spout and bolt instances is extremely important, so let’s pause for a moment and summarize what you know before diving into our final concept: ■ ■ ■ ■ ■ ■ ■ ■ A topology consists of nodes and edges. Nodes represent either spouts or bolts. Edges represent streams of tuples between these spouts and bolts. A tuple is an ordered list of values, where each value is assigned a name.

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