5. Persistence Using Redis and MongoDB | Building Python Real time Applications with Storm

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Table Of Contents

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

Running the topology – the Redis case

We have a few more small things to address before we run the topology:

Copy the logconfig.ini file from the second example in Chapter 3, Introducing Petrel, to this topology's directory.
Create a file called setup.sh. Petrel will package this script with the topology and run it at startup. This script installs the third-party Python libraries used by the topology. The file looks like this:
```
pip install -U pip
pip install nltk==3.0.1 oauthlib==0.7.2
tweepy==3.2.0
```
Create a file called manifest.txt with these two lines:
```
logconfig.ini
setup.sh
```
Install the Redis server on a well-known node. All workers will store state here:
```
         sudo apt-get install redis-server
```
Install the Python Redis client on all Storm worker machines:
```
         sudo apt-get install python-redis
```
Before running the topology, let's review the list of files that we've created. Make sure you have created these files correctly:
- topology.yaml
- twitterstream.py
- splitsentence.py
- rollingcount.py
- totalrankings...

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