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  • Book Overview & Buying Building Python Real time Applications with Storm
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Building Python Real time Applications with Storm

Building Python Real time Applications with Storm

By : Bhatnagar, Hart
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Building Python Real time Applications with Storm

Building Python Real time Applications with Storm

By: Bhatnagar, Hart
Buy this Book

Overview of this book

Big data is a trending concept that everyone wants to learn about. With its ability to process all kinds of data in real time, Storm is an important addition to your big data “bag of tricks.” At the same time, Python is one of the fastest-growing programming languages today. It has become a top choice for both data science and everyday application development. Together, Storm and Python enable you to build and deploy real-time big data applications quickly and easily. You will begin with some basic command tutorials to set up storm and learn about its configurations in detail. You will then go through the requirement scenarios to create a Storm cluster. Next, you’ll be provided with an overview of Petrel, followed by an example of Twitter topology and persistence using Redis and MongoDB. Finally, you will build a production-quality Storm topology using development best practices.
Table of Contents (9 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Getting Acquainted with Storm
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1. Getting Acquainted with Storm
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Overview of Storm
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Storm installation
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Summary
2
2. The Storm Anatomy
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2. The Storm Anatomy
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Storm processes
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Storm-topology-specific terminologies
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A physical view of a Storm cluster
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Tuning parallelism in Storm – scaling a distributed computation
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Summary
3
3. Introducing Petrel
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3. Introducing Petrel
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What is Petrel?
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Installing Petrel
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Creating your first topology
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Running the topology
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Troubleshooting
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Productivity tips with Petrel
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Summary
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4. Example Topology – Twitter
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4. Example Topology – Twitter
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Twitter analysis
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Twitter's Streaming API
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Running the topology
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Summary
5
5. Persistence Using Redis and MongoDB
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5. Persistence Using Redis and MongoDB
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Finding the top n ranked topics using Redis
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Running the topology – the Redis case
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Running the topology – the MongoDB case
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Summary
6
6. Petrel in Practice
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6. Petrel in Practice
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Testing a bolt
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Debugging
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Installing Winpdb
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Profiling your topology's performance
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Summary
7
A. Managing Storm Using Supervisord
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A. Managing Storm Using Supervisord
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Storm administration over a cluster
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Summary
8
Index
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Index

Storm administration over a cluster

There are many tools available that can create multiple virtual machines, install predefined software and even manage the state of that software.

Introducing supervisord

Supervisord is a process control system. It is a client-server system that allows its users to monitor and control a number of processes on Unix-like operating systems. For details, visit http://supervisord.org/.

Supervisord components

The server piece of the supervisor is known as supervisord. It is responsible for starting child programs upon its own invocation, responding to commands from clients, restarting crashed or exited subprocesses, logging its subprocess stdout and stderr output, and generating and handling "events" corresponding to points in subprocess lifetimes. The server process uses a configuration file. This is typically located in /etc/supervisord.conf. This configuration file is a Windows-INI style config file. It is important to keep this file secure via proper...

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Building Python Real time Applications with Storm
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