A vital property of any automated test is that it is consistent and repeatable. In other words, it must either fail or succeed consistently. This can make testing temporal applications difficult because of the fact that time is always different between test runs. In order to create stable tests, it is important to simulate the time within the cluster so that the integration tests can advance the time by specific amounts and explicitly test all the boundary conditions. The trident testing API fully enables such a test scenario; this recipe will explore the minor changes required to be made to the topology under test and the actual integration tests.
Storm Real-time Processing Cookbook
By :
Storm Real-time Processing Cookbook
By:
Overview of this book
<p>Storm is a free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!<br />Storm Real Time Processing Cookbook will have basic to advanced recipes on Storm for real-time computation.<br /><br />The book begins with setting up the development environment and then teaches log stream processing. This will be followed by real-time payments workflow, distributed RPC, integrating it with other software such as Hadoop and Apache Camel, and more.</p>
Table of Contents (16 chapters)
Storm Real-time Processing Cookbook
Credits
About the Author
About the Reviewers
www.packtpub.com
Preface
Free Chapter
Setting Up Your Development Environment
Log Stream Processing
Calculating Term Importance with Trident
Distributed Remote Procedure Calls
Polyglot Topology
Integrating Storm and Hadoop
Real-time Machine Learning
Continuous Delivery
Storm on AWS
Index
Customer Reviews