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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
Languages
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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 (10) Chapters Close

Preface 1. Cassandras Approach to High Availability 2. Data Distribution FREE CHAPTER 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for Availability 8. Anti-Patterns 9. Failing Gracefully

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 purposes of these examples, we will assume a replication factor of 3 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...

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