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Cassandra Design Patterns

You're reading from   Cassandra Design Patterns Build real-world, industry-strength data storage solutions with time-tested design methodologies using Cassandra

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785285707
Length 168 pages
Edition 2nd Edition
Languages
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Author (1):
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Rajanarayanan Thottuvaikkatumana Rajanarayanan Thottuvaikkatumana
Author Profile Icon Rajanarayanan Thottuvaikkatumana
Rajanarayanan Thottuvaikkatumana
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Toc

Cache to NoSQL pattern

Cache serves data much faster than that being served from other data stores. But if the caching solution in use is giving data integrity problems, it is better to migrate to NoSQL data stores, such as Cassandra. Is Cassandra faster than in-memory caching solutions? The obvious answer is, "No". But it is not as bad as many think. Cassandra can be configured to serve faster reads, and the bonus comes in the form of high data integrity with strong replication capabilities. The Cassandra read path starts with the checking in of the bloom filter. It is a probabilistic method of seeing whether the requested data is present in a given SSTable or not, before getting into the I/O operations. If the bloom filter gives a favorable nod, the next step is to check in the partition key cache. If the key is found, the row is returned. If the key is not found, the SSTables are read, and when data is available, it is merged, sorted, and returned. There are ways to cache an...

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