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Apache Spark 2.x Cookbook
book

Apache Spark 2.x Cookbook

by Rishi Yadav
May 2017
Intermediate to advanced
294 pages
7h 33m
English
Packt Publishing
Content preview from Apache Spark 2.x Cookbook

CAP Theorem

The CAP Theorem suggests that in distributed architecture, you can pick only two of the following three:

  • Consistency: Every read gets the most recent copy of the data
  • Availability: Every request receives a response
  • (Network) Partition Tolerance: The system continues to operate despite network partition

Another way to look at the CAP theorem is: When the network gets partitioned, either consistency or availability can be guaranteed, not both. The following diagram illustrates how the CAP theorem works when the network is partitioned: 

A row is updated in Node 1 as shown in the preceding figure. Before Node 3 receives the update ...

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Publisher Resources

ISBN: 9781787127265