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Cassandra 3.x High Availability

Cassandra 3.x High Availability

By : Strickland
3.8 (6)
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Cassandra 3.x High Availability

Cassandra 3.x High Availability

3.8 (6)
By: Strickland

Overview of this book

Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra’s architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You’ll get an excellent understanding of data distribution, replication, and Cassandra’s highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you’ll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you’ll find out how to steer clear of common anti-patterns and take advantage of Cassandra’s ability to fail gracefully.
Table of Contents (10 chapters)
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Working with geospatial data


Another very common use of Cassandra is to store and query geospatial data. Typically the objective with this type of data is to find points near a given location. The challenge is to find a key that can be used to narrow down the potential list of locations, and to avoid querying many keys at once.

While there is more than one possible data structure that can be used for this purpose, geohashing has a number of benefits that make it worth considering. A geohash is a base-32 representation of a geographic area, where each additional digit represents greater precision. The property of geohashes that makes them particularly suited for geospatial searches is that adding a level of precision to a given geohash results in an area contained within the lower-precision value.

We can visualize this using the following diagram, which shows a geohash, dnh03, with a number of more precise geohashes contained within it. All of the smaller geohashes begins with the dnh03 prefix...

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