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Monitoring Hadoop

You're reading from  Monitoring Hadoop

Product type Book
Published in Apr 2015
Publisher
ISBN-13 9781783281558
Pages 100 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Aman Singh Aman Singh
Profile icon Aman Singh
LinkedIn
Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing
See other products by Aman Singh

Table of Contents (14) Chapters

Monitoring Hadoop
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Introduction to Monitoring 2. Hadoop Daemons and Services 3. Hadoop Logging 4. HDFS Checks 5. MapReduce Checks 6. Hadoop Metrics and Visualization Using Ganglia 7. Hive, HBase, and Monitoring Best Practices Index

Hive metrics

Apache Hive provides very basic metrics for JVM profiling, which could be handy from the monitoring and performance aspects.

It makes sense to enable JMX when running the Hive thrift server by using the following code snippet:

JMX_OPTS="-Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.port=8008"

With the thrift server, it actually executes hadoop jar and passes the option to JVM; $HIVE_OPTS must be set in the hive-env.sh file.

The Java package called org.apache.hadoop.hive.common.metrics can be tapped for Hive metrics collection.

HBase monitoring

HBase is a NoSQL database designed to work very well on a distributed framework such as Hadoop. It has the concept of master and slave servers (region servers) much like the Hadoop architecture. Being a database and holding large amounts of data makes its state consistent and performance optimal.

Knowing what's happening at a given time...

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Authors (1)

Profile icon Aman Singh
LinkedIn
Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies. He has worked with companies such as HP, JP Morgan, and Yahoo. He has authored Monitoring Hadoop by Packt Publishing
See other products by Aman Singh

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