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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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Toc

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

Write performance

Given its log-based storage model and memtable/commitlog design, Apache Cassandra usually does very well when it comes to high-performance data-ingestion. That being said, it is not uncommon to hear of application teams complaining about Cassandra nodes being saturated with load due to writes. Here is a short list of things to check when write performance suffers.

Commitlog mount point

One piece of advice, going back to the early days of Apache Cassandra, was to ensure that the commitlog was on a different physical mount point than the data drives. This is because disk I/O could become bottlenecked at the device level during periods of heavy writes. Putting the commitlog and data directories on separate mount...

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