Benchmarking Hadoop MapReduce using TeraSort
Hadoop TeraSort is a well-known benchmark that aims to sort 1 TB of data as fast as possible using Hadoop MapReduce. TeraSort benchmark stresses almost every part of the Hadoop MapReduce framework as well as the HDFS filesystem making it an ideal choice to fine-tune the configuration of a Hadoop cluster.
The original TeraSort benchmark sorts 10 million 100 byte records making the total data size 1 TB. However, we can specify the number of records, making it possible to configure the total size of data.
Getting ready
You must set up and deploy HDFS and Hadoop v2 YARN MapReduce prior to running these benchmarks, and locate the hadoop-mapreduce-examples-*.jar file in your Hadoop installation.
How to do it... ...
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