May 2017
Intermediate to advanced
348 pages
7h 8m
English
Content preview from Hadoop 2.x Administration CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 3. Maintaining Hadoop Cluster – YARN and MapReduce
In this chapter, we will cover the following recipes:
- Running a simple MapReduce program
- Hadoop streaming
- Configuring YARN history server
- Job history web interface and metrics
- Configuring ResourceManager components
- YARN containers resource allocations
- ResourceManager Web UI and JMX metrics
- Preserving ResourceManager states
Introduction
In the previous chapters, we learned about the storage layer HDFS, how to configure it, and what are its different components. We mainly talked about Namenode, Datanode, and its concepts.
In this chapter, we will take a look at the processing layer which is MapReduce and the resource management framework YARN. Prior to Hadoop 2.x, MapReduce was the only processing ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.