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Cassandra High Availability

You're reading from   Cassandra High Availability Harness the power of Apache Cassandra to build scalable, fault-tolerant, and readily available applications

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Length 186 pages
Edition 1st Edition
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (11) Chapters Close

Preface 1. Cassandra's Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for High Availability 8. Antipatterns 9. Failing Gracefully Index

Understanding queries


In order to make sense of the various types of queries, we will start with a common data model to be used across the following examples. For this data model, we will return to the authors table, with name as the partition key, followed by year and title as clustering columns. We'll also sort the year in descending order. This table can be created as follows:

CREATE TABLE authors (
  name text,
  year int,
  title text,
  isbn text,
  publisher text,
  PRIMARY KEY (name, year, title)
) WITH CLUSTERING ORDER BY (year DESC);

Also, for the purpose of these examples, we will assume a replication factor of three and consistency level of QUORUM.

Query by key

We'll start with a basic query by key:

SELECT * FROM authors WHERE name = 'Tom Clancy';

For this simple select, the query makes the request to the coordinator node, which in this case owns a replica for our key. The coordinator then retrieves the row from another replica node to satisfy the quorum. Thus, we need a total of two...

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