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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

Materialized views

While we were modeling our follow relationships, we noted that different access patterns required us to store the same data in multiple tables with different schema. To avoid this denormalization, we created a secondary index on one of the columns. But adding a secondary index on a non-partition key column has a performance impact on read latency. This is especially the case when the column on which the index was created has a high cardinality. Thus, secondary indexes should be used in cases of low cardinality columns or you specify the partition key as well within your queries so the queries don't scale across multiple partitions. To avoid client-side denormalization and the use of secondary indexes for high cardinality columns, materialized views were introduced in Cassandra 3.0. Materialized views handle server-side denormalization ensuring eventual consistency between the base and view...

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