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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

Cassandra repair mechanisms

Since data is partitioned and replicated onto multiple nodes, there is a possibility that replicas might be out of sync. This is usually due to slow responsiveness of certain nodes or nodes being down. If multiple nodes are out of sync, there is a possibility of reading stale data. There is also a certain case when deleted data reappears. To fix these issues, Cassandra provides three main repair mechanisms. These mechanisms ensure that the data is in sync most of the time. The repair mechanisms are as follows:

  • Hinted handoff
  • Read repair
  • Anti-entropy repair

Hinted handoff

Whenever a node becomes unresponsive or down for a certain period of time, all the write requests to that node will fail. Cassandra keeps a copy of the partitions...

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