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Building Python Real time Applications with Storm

You're reading from   Building Python Real time Applications with Storm Learn to process massive real-time data streams using Storm and Python—no Java required!

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781784392857
Length 122 pages
Edition 1st Edition
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Toc

Summary

As this chapter approaches its end, you must have got a brief idea about the Nimbus, supervisor, UI, and Zookeeper processes. This chapter also taught you how to tune parallelism in Storm by playing with the number of workers, executors, and tasks. You became familiar with the important problem of distributing computation, that is, failures and overcoming failures by different kinds of fault tolerance available in the system. And most importantly, you learned how to write a "reliable" spout to achieve guaranteed message processing and linking in bolts.

The next chapter will give you information about how to build a simple topology using a Python library called Petrel. Petrel addresses some limitations of Storm's built-in Python support, providing simpler and more streamlined development.

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