Tools & Tuning

  • Shakil Akhtar
  • Ravi Magham
Chapter

Abstract

We have seen how Phoenix can help us for big data analysis by providing an interface for writing simple, easy-to-use queries and its other features available for handling HBase data in an efficient way. The important thing for any database query engine is its performance, especially as it supports increasing loads. Phoenix provides many configurations and suggests many ways by which we can meet our performance SLAs. This chapter is all about performance and the available Phoenix tools that provide insight into what is inside Phoenix, so we can tune it well while handling any issues in our production environment.

Keywords

Hadoop Distribute File System Column Family Custom Data Generation Multiple Span MapReduce Performance 
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.

Copyright information

© Shakil Akhtar and Ravi Magham 2017

Authors and Affiliations

  • Shakil Akhtar
    • 1
  • Ravi Magham
    • 2
  1. 1.BangaloreIndia
  2. 2.Santa ClaraUSA

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