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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
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Shilpi Saxena
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Table of Contents (19) Chapters Close

Real-time Analytics with Storm and Cassandra
Credits
About the Author
About the Reviewers
www.PacktPub.com
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 Quiz Answers Index

Understanding the Trident API


Trident API supports five broad categories of operations:

  • Operations for manipulations of partitioning local data without network transfer

  • Operations related to the repartitioning of the stream (involves the transfer of stream data over the network)

  • Data aggregation over the stream (this operation do the network transfer as a part of operation)

  • Grouping over a field in the stream

  • Merge and join

Local partition manipulation operation

As the name suggests, these operations are locally operative over the batch on each node and no network traffic is involved for it. The following functions fall under this category.

Functions

  • This operation takes single input value and emits zero or more tuples as the output

  • The output of these function operations is appended to the end of the original tuple and emitted to the stream

  • In cases where the function is such that no output tuple is emitted, the framework filters the input tuple too, while in other cases the input tuple is duplicated...

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