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Building Python Real：Time Applications with Storm
最新章節(jié)：
Index
ThisbookisintendedforPythondeveloperswhowanttobenefitfromStorm’sreal-timedataprocessingcapabilities.IfyouarenewtoPython,you’llbenefitfromtheattentiontokeysupportingtoolsandtechniquessuchasautomatedtesting,virtualenvironments,andlogging.Ifyou’reanexperiencedPythondeveloper,you’llappreciatethethoroughanddetailedexamples.
目錄(52章)
倒序
- 封面
- 版權(quán)頁(yè)
- 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(shí)間：2021-07-30 10:10:17
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