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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

Read performance

If a cluster is exhibiting poor read performance, there are some obvious things to check on the application and data model (table definition) before adjusting any configuration settings. As previously mentioned, tables in Cassandra must be designed based on the queries that they are required to serve. If application teams are complaining about operation slowness for multi-key queries or queries that contact multiple nodes, there is little that can be done to improve the situation. On the other hand, if you are confident about the table design and are not violating any known anti-patterns (see the Cassandra anti-patterns section, under Other performance considerations), then configuration in some of these areas may be helpful.

Compaction strategy selection

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