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Learning Real-time Analytics with Storm and Cassandra

You're reading from   Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm 2. Getting Started with Your First Topology FREE CHAPTER 3. Understanding Storm Internals by Examples 4. Storm in a Clustered Mode 5. Storm High Availability and Failover 6. Adding NoSQL Persistence to Storm 7. Cassandra Partitioning, High Availability, and Consistency 8. Cassandra Management and Maintenance 9. Storm Management and Maintenance 10. Advance Concepts in Storm 11. Distributed Cache and CEP with Storm A. Quiz Answers Index

Using different client APIs to access Cassandra


Now that we are acquainted with Cassandra, let's move on to the next step where we will access (insert or update) data into the cluster programmatically. In general, the APIs we are talking about are wrappers written over the core Thrift API, which offers various CRUD operations over the Cassandra cluster using programmer-friendly packages.

The client APIs that are used to access Cassandra are as follows:

  • Thrift protocol: The most basic of all APIs to access Cassandra is the Remote Procedure Call (RPC) protocol, which provides a language-neutral interface and thus exposes flexibility to communicate using Python, Java, and so on. Please note that almost all other APIs we'll discuss use Thrift under the hood. It is simple to use and it provides basic functionality out of the box like ring discovery and native access. Complex features such as retry, connection pooling, and so on are not supported out of the box. However, there are a variety of...

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