Book Image

Mastering Apache Storm

By : Ankit Jain
Book Image

Mastering Apache Storm

By: Ankit Jain

Overview of this book

Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You’ll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we’ll introduce you to Trident and you’ll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm. With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Trident introduction


Trident is a high-level abstraction built on top of Storm. Trident supports stateful stream processing, while pure Storm is a stateless processing framework. The main advantage of using Trident is that it guarantees that every message entered into the topology is processed only once, which would be difficult to achieve with vanilla Storm. The concept of Trident is similar to high-level batch processing tools, such as Cascading and Pig, developed over Hadoop. To achieve exactly-once processing, Trident processes the input stream in small batches. We will cover this in more detail in the Chapter 5, Trident Topology and UsesTrident state section.

In the first three chapters, we learned that, in Storm's topology, the spout is the source of tuples. A tuple is a unit of data that can be processed by a Storm application, and a bolt is the processing powerhouse where we write the transformation logic. But in the Trident topology, the bolt is replaced with the higher level semantics...