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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

Hash table fundamentals

Most developers have experience with hash tables in some form, as nearly all programming languages include hash table implementations. Hash tables store data by applying a hash function to the object, which determines its placement in an underlying array.

While a detailed description of hashing algorithms is out of scope of this book, it is sufficient for you to understand that a hash function simply maps any input data object (which might be any size) to some expected output. While the input might be large, the output of the hash function will be a fixed number of bits.

In a typical hash table design, the result of the hash function is divided by the number of array slots; the remainder then becomes the assigned slot number. Thus, the slot can be computed using hash(o) % n, where o is the object and n is the number of slots. Consider the following hash table with names as keys and addresses as values:

Hash table fundamentals

In the preceding diagram, the values in the table on the left represent...

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