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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Configuring YARN history server


Whenever a MapReduce job runs, it launches containers on multiple nodes and the logs for that container are only written on that particular node. If the user needs details of the job, he needs to go to all the nodes to fetch the logs, which could be very tedious in large clusters.

A better approach will be to aggregate the logs at a common location once the job finishes and then it can be accessed using a web server or other means. To address this, History Server was introduced in Hadoop, to aggregate logs and provide a Web UI, for users to see logs for all the containers of a job at one place.

Getting ready

You need to have a running cluster with YARN set up and should have completed the previous recipe to make sure the cluster is working fine in terms of HDFS and YARN.

The following steps will guide you through the process of setting up Job history server.

How to do it...

  1. Connect to the ResourceManager node, which is the YARN master and switch to user hadoop.

  2. Navigate...

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