6. Petrel in Practice | Building Python Real time Applications with Storm

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Building Python Real time Applications with Storm

By : Bhatnagar, Hart

Building Python Real time Applications with Storm

By: Bhatnagar, Hart

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Getting Acquainted with Storm

1. Getting Acquainted with Storm

Overview of Storm

Storm installation

Summary

2. The Storm Anatomy

2. The Storm Anatomy

Storm processes

Storm-topology-specific terminologies

A physical view of a Storm cluster

Tuning parallelism in Storm – scaling a distributed computation

Summary

3. Introducing Petrel

3. Introducing Petrel

What is Petrel?

Installing Petrel

Creating your first topology

Running the topology

Troubleshooting

Productivity tips with Petrel

Summary

4. Example Topology – Twitter

4. Example Topology – Twitter

Twitter analysis

Twitter's Streaming API

Running the topology

Summary

5. Persistence Using Redis and MongoDB

5. Persistence Using Redis and MongoDB

Finding the top n ranked topics using Redis

Running the topology – the Redis case

Running the topology – the MongoDB case

Summary

6. Petrel in Practice

6. Petrel in Practice

Testing a bolt

Debugging

Installing Winpdb

Profiling your topology's performance

Summary

A. Managing Storm Using Supervisord

A. Managing Storm Using Supervisord

Storm administration over a cluster

Summary

Index

Index

Customer Reviews

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Installing Winpdb

Activate your Petrel virtual environment and then use pip to install it:

source <virtualenv directory>/bin/activate
pip install winpdb

Add Winpdb breakpoint

In the splitsentence.py file, add the following at the beginning of the run() function:

import rpdb2
rpdb2.start_embedded_debugger('password')

The 'password' value can be anything; this is simply the password that you will use in the next step to attach to splitsentence.py.

When this line of code executes, the script will freeze for a default period of 5 minutes, waiting for a debugger to attach.

Launching and attaching the debugger

Now run the topology:

petrel submit --config topology.yaml

Once you see log messages from the spout, you will know that the topology is up and running, so you can connect with the debugger.

Launch Winpdb simply by running winpdb.

For more details on how to use Winpdb for embedded debugging, see the documentation at http://winpdb.org/docs/embedded-debugging/.

When the window appears, select File...

Visually different images

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