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Mastering Apache Spark 2.x - Second Edition

You're reading from  Mastering Apache Spark 2.x - Second Edition

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Pages 354 pages
Edition 2nd Edition
Languages
Concepts

Table of Contents (21) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. A First Taste and What’s New in Apache Spark V2 2. Apache Spark SQL 3. The Catalyst Optimizer 4. Project Tungsten 5. Apache Spark Streaming 6. Structured Streaming 7. Apache Spark MLlib 8. Apache SparkML 9. Apache SystemML 10. Deep Learning on Apache Spark with DeepLearning4j and H2O 11. Apache Spark GraphX 12. Apache Spark GraphFrames 13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience 14. Apache Spark on Kubernetes

How transparent fault tolerance and exactly-once delivery guarantee is achieved

Apache Spark structured streaming supports full crash fault tolerance and exactly-once delivery guarantee without the user taking care of any specific error handling routines. Isn't this amazing? So how is this achieved?

Note

Full crash fault tolerance and exactly-once delivery guarantee are terms of systems theory. Full crash fault tolerance means that you can basically pull the power plug of the whole data center at any point in time, and no data is lost or left in an inconsistent state. Exactly-once delivery guarantee means, even if the same power plug is pulled, it is guaranteed that each tuple- end-to-end from the data source to the data sink - is delivered - only, and exactly, once. Not zero times and also not more than one time. Of course those concepts must also hold in case a single node fails or misbehaves (for example- starts throttling).

First of all, states between individual batches and offset ranges...

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