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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 internals

In this section, we will take a look at some of the internals of Cassandra including read and write paths along with some of the mechanisms used to optimize both read and write operations. The write path is fairly straightforward which appends records to a log structure providing really high throughput. The read path consists of several data structures which are used to reduce the amount of disk seeks and optimize reads.

The write path

When Cassandra initially came out, it was widely considered a write-optimized database. Whenever a client makes a write request, a coordinator node receives it. The coordinator node forwards the request to the relevant nodes based on the partition key and replication factor. The reason local writes are fast in Cassandra...

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