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Building Python Real：Time Applications with Storm

更新時間：2021-07-30 10:10:17

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ThisbookisintendedforPythondeveloperswhowanttobenefitfromStorm’sreal-timedataprocessingcapabilities.IfyouarenewtoPython,you’llbenefitfromtheattentiontokeysupportingtoolsandtechniquessuchasautomatedtesting,virtualenvironments,andlogging.Ifyou’reanexperiencedPythondeveloper,you’llappreciatethethoroughanddetailedexamples.

目錄(52章)

倒序

封面
版權頁
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Support files eBooks discount offers and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Getting Acquainted with Storm
Overview of Storm
Storm installation
Summary
Chapter 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
Chapter 3. Introducing Petrel
What is Petrel?
Installing Petrel
Creating your first topology
Running the topology
Troubleshooting
Productivity tips with Petrel
Summary
Chapter 4. Example Topology – Twitter
Twitter analysis
Twitter's Streaming API
Running the topology
Summary
Chapter 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
Chapter 6. Petrel in Practice
Testing a bolt
Debugging
Installing Winpdb
Profiling your topology's performance
Summary
Appendix A. Managing Storm Using Supervisord
Storm administration over a cluster
Summary
Index 更新時間：2021-07-30 10:10:17

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Building Python Real：Time Applications with Storm