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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

Fetching parameters which are in-effect


In this recipe, we look at how we can fetch the configured parameters in the Hadoop cluster, without going through the files.

The parameters are either default values, defined by files such as hdfs-default.xml, core-default.xml, yarn-default.xml, and so on, or defined explicitly in the configuration files such as hdfs-site.xml, core-site.xml, mapred-site.xml, and a few others. The default files are part of the packaged jars with the distribution, and any changes we make overrides them.

Getting ready

To step through the recipe, the user needs at least one node in the cluster and needs to make sure that the Hadoop environment variables are in place. It is not necessary to start any of the daemons in the cluster.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and switch to user hadoop.

  2. To find the value of any parameter, use the following command:

    $ hdfs getconf –confkey dfs.blocksize
    $ hdfs getconf –confkey dfs.replication
    $ hdfs...
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