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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
Tools
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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

Parse logs for errors

In this recipe, we will look at how to parse logs and quickly find errors. There are job logs, which are aggregated on HDFS, logs which include daemon logs, system logs, and so on.

We will look at some keywords and commands to find the errors in logs.

Getting ready

To complete the recipe, the user must have a running Hadoop cluster, must have completed the Setting up multi-node HBase cluster recipe in Chapter 9, HBase Administration, and know Bash or Perl/Python scripting basics.

How to do it...

  1. Connect to the edge1.cyrus.com node in the cluster and switch to user hadoop. However, we can connect to any node in the cluster from which we can access the logs.
  2. The location of the YARN logs on the cluster is exported as NFS export and mounted at location /logs/hadoop on the Edge node. Refer to the HDFS as NFS export recipe.
  3. All the other logs, such as system and daemon logs, from the cluster are exported to the location /logs/system.
  4. If the user is not from a Linux system background...
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