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Optimizing Hadoop for MapReduce

You're reading from   Optimizing Hadoop for MapReduce This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it's an example-driven tutorial for the real world.

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Product type Paperback
Published in Feb 2014
Publisher
ISBN-13 9781783285655
Length 120 pages
Edition Edition
Tools
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Author (1):
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Khaled Tannir Khaled Tannir
Author Profile Icon Khaled Tannir
Khaled Tannir
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Toc

Performance monitoring tools


Monitoring basic system resources on Hadoop cluster nodes such as CPU utilization and average disk data transfer rates helps to understand the overall utilization of these hardware resources and identify any bottlenecks while diagnosing performance issues. Monitoring a Hadoop cluster includes monitoring the usage of system resources on cluster nodes along with monitoring the key service metrics. The most commonly monitored resources are I/O bandwidth, number of disk I/O operations per second, average data transfer rate, network latency, and average memory and swap space utilization.

Hadoop performance monitoring suggests collecting performance counters' data in order to determine whether the response times of various tasks lie within acceptable execution time range. The average percentage utilization for MapReduce tasks and HDFS storage capacity over time indicates whether your cluster's resources are used optimally or are underused.

Hadoop offers a substantial...

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