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Mastering Mesos

You're reading from  Mastering Mesos

Product type Book
Published in May 2016
Publisher Packt
ISBN-13 9781785886249
Pages 352 pages
Edition 1st Edition
Languages
Authors (2):
Dipa Dubhashi Dipa Dubhashi
Profile icon Dipa Dubhashi
Akhil Das Akhil Das
Profile icon Akhil Das
View More author details

Table of Contents (16) Chapters

Mastering Mesos
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Introducing Mesos 2. Mesos Internals 3. Getting Started with Mesos 4. Service Scheduling and Management Frameworks 5. Mesos Cluster Deployment 6. Mesos Frameworks 7. Mesos Containerizers 8. Mesos Big Data Frameworks 9. Mesos Big Data Frameworks 2 Index

Samza on Mesos


Samza is an open source distributed stream processing framework originally developed at LinkedIn. It has the following features:

  • A simple API

  • State management

  • Fault tolerance

  • Durability

  • Scalability

  • Pluggability

  • Processor isolation

Important concepts of Samza

Some concepts in Samza are described in the following sections.

Streams

Samza processes streams of data—for example, website clickstreams, server logs, or any other event data. Messages can be added and read from a data stream. Multiple frameworks can access the same data stream and can partition the data based on the keys present in the message.

Jobs

A Samza job is the computation logic that reads data from input streams, applies some transformations to it, and outputs the resultant messages to a bunch of output streams.

Partitions

Every stream is split into single or multiple partitions. Every partition is an ordered sequence of messages.

Tasks

A job is subdivided into multiple tasks for the parallelism of the computation. Every task...

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