Advertisement

Pro Hadoop pp 177-206 | Cite as

Tuning Your MapReduce Jobs

Abstract

Once you have developed your MapReduce job, you need to be able to run it at scale on your cluster. A number of factors influence how your job scales. This chapter will cover how to recognize that your job is having a problem and how to tune the scaling parameters so that your job performs optimally.

Keywords

File System Input File Garbage Collection Wall Clock Time Block Storage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Jason Venner 2009

Personalised recommendations