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You're reading from  Mastering Hadoop 3

Product typeBook
Published inFeb 2019
Reading LevelExpert
PublisherPackt
ISBN-139781788620444
Edition1st Edition
Languages
Java
Tools
Hadoop
Concepts
Data Processing
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Authors (2):
Chanchal Singh
Chanchal Singh
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Chanchal Singh

Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.
Read more about Chanchal Singh

Manish Kumar
Manish Kumar
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Manish Kumar

Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).
Read more about Manish Kumar

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Architecture

YARN stands for Yet Another Resource Negotiator, and was introduced with Apache Hadoop 2.0 to address the scalability and manageability issues that existed with the previous versions. In Hadoop 1.0, we have two major components for job execution: JobTracker and task tracker. JobTracker is responsible for managing resources and scheduling jobs. It is also responsible for tracking the status of each job and restarting them if there is any failure. The task trackers are responsible for running tasks and sending progress report to JobTracker. The JobTracker also reschedules failed tasks on different task trackers. As JobTracker could be overloaded with multiple tasks, Hadoop 1.0 made several changes in its architecture to eliminate the following limitations:

  • Scalability: In Hadoop 1.0, the JobTracker is responsible for scheduling the jobs, monitoring each job, and restarting them on failure. It means JobTracker spends the majority of its time managing the application's life cycle...
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Mastering Hadoop 3
Published in: Feb 2019Publisher: PacktISBN-13: 9781788620444
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Authors (2)

author image
Chanchal Singh

Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.
Read more about Chanchal Singh

author image
Manish Kumar

Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).
Read more about Manish Kumar

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