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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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HDFS high availability in Hadoop 3.x

With Hadoop 2.0, active and standby NameNodes were introduced. At any point, out of two NameNodes, one will always be in active state and other will be in standby state. The active NameNode is the one that's responsible for any client requests in the cluster. Standby NameNodes are slave nodes whose responsibility is to keep its state in sync with the active NameNode so that it can provide fast failover in the event of failover. However, what if one of the NameNodes fails? In that case, the NameNode would become non-HA. This means that NameNodes can only tolerate up to one failure. This behavior is the opposite of the core fault -tolerant behavior of Hadoop, which certainly can accommodate more than one failure of DataNodes in a cluster. Keeping that in mind, provisions of more than one standby NameNode was introduced in Hadoop 3. The behavior of additional standby NameNodes will still be the same as any other standby NameNode. They will have their own...

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Mastering Hadoop 3
Published in: Feb 2019Publisher: PacktISBN-13: 9781788620444
© 2019 Packt Publishing Limited All Rights Reserved

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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