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Mastering Hadoop

You're reading from   Mastering Hadoop Go beyond the basics and master the next generation of Hadoop data processing platforms

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781783983643
Length 374 pages
Edition 1st Edition
Tools
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Author (1):
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Sandeep Karanth Sandeep Karanth
Author Profile Icon Sandeep Karanth
Sandeep Karanth
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Table of Contents (15) Chapters Close

Preface 1. Hadoop 2.X FREE CHAPTER 2. Advanced MapReduce 3. Advanced Pig 4. Advanced Hive 5. Serialization and Hadoop I/O 6. YARN – Bringing Other Paradigms to Hadoop 7. Storm on YARN – Low Latency Processing in Hadoop 8. Hadoop on the Cloud 9. HDFS Replacements 10. HDFS Federation 11. Hadoop Security 12. Analytics Using Hadoop A. Hadoop for Microsoft Windows Index

Monitoring YARN


The RM provides a friendly web interface to view the cluster and its resources. The home page of this interface gives details about the cluster, such as the RM state, number of applications, the total memory available, total number of nodes, and node status, among other details. The next screenshot shows the home page.

On the left-hand side of the screen, there are links to navigate and get different kinds of details of the cluster.

Clicking on the Nodes link on the left-hand pane gives the details of the nodes in the YARN cluster. The following screenshot shows an example of a single node cluster. For each node in the cluster, the screen gives details on the rack it belongs to, the node state, resource consumption (memory for now) on the node, HTTP address of the node, and last heartbeat details of the node, among other details.

The last-health update column in the nodes grid tells when the RM received the last heartbeat from the NM.

The Applications link on the left-hand pane...

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