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Mastering Apache Cassandra 3.x

You're reading from   Mastering Apache Cassandra 3.x An expert guide to improving database scalability and availability without compromising performance

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131499
Length 348 pages
Edition 3rd Edition
Languages
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Authors (2):
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Aaron Ploetz Aaron Ploetz
Author Profile Icon Aaron Ploetz
Aaron Ploetz
Tejaswi Malepati Tejaswi Malepati
Author Profile Icon Tejaswi Malepati
Tejaswi Malepati
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Table of Contents (12) Chapters Close

Preface 1. Quick Start FREE CHAPTER 2. Cassandra Architecture 3. Effective CQL 4. Configuring a Cluster 5. Performance Tuning 6. Managing a Cluster 7. Monitoring 8. Application Development 9. Integration with Apache Spark 10. References 11. Other Books You May Enjoy

Cassandra's write path

Understanding how Cassandra handles writes is key to knowing how to build applications on top of it. The following is a high-level diagram of how the Cassandra write path works:

Figure 2.3: An illustration of the Cassandra write path, showing how writes are applied both to in-memory and on-disk structures

When a write operation reaches a node, it is persisted in two places. There is an in-memory structure known as a memtable, which gets the write. Additionally, the new data is written to the commit log, which is on-disk.

The commit log is Cassandra's way of enforcing durability in the case of a plug-out-of-the-wall event. When a node is restarted, the commit log is verified against what is stored on-disk and replayed if necessary.

Once a flush of the memtable is triggered, the data stored in memory is written to the sorted string table files ...

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