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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

Multikey queries


You will recall from the previous chapter that Cassandra is most efficient when querying a range of columns on disk. All our examples assumed a replication factor of three with QUORUM reads and writes. We will follow the same conventions with the examples in this chapter.

With this in mind, let's make use of the authors schema we introduced in the previous chapter:

CREATE TABLE authors (
  name text,
  year int,
  title text,
  publisher text,
  isbn text,
  PRIMARY KEY (name, year, title)
);

Using this schema, let's say we want to retrieve a number of books from a list of known authors. Obviously, we can write a separate query for each author, but Cassandra also provides a familiar SQL-style syntax to specify multiple partition keys using the IN clause:

SELECT * FROM authors
WHERE name IN (
'Tom Clancy',
'Malcolm Gladwell',
'Dean Koontz'
);

The question is how will Cassandra fulfill this request? As we have discussed numerous times throughout this book, the system will hash...

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