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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Table of Contents (13) Chapters Close

Preface 1. Configuring HBase FREE CHAPTER 2. Loading Data from Various DBs 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Bulk utilities

The process for loading data using Bulk utilities is very similar:

  1. Extracting data from the source.
  2. Transforming the data into HFiles.
  3. Loading the files into HBase by guiding the region servers as to where to find them.

Getting ready...

The following points have to be remembered when using Bulk utilities:

  • HBase/Hadoop cluster with MapReduce/Yarn should be running. You can run jps to check it.
  • Access rights (user/group) are needed to execute the program.
  • Table schema needs to be designed to the input structure.
  • Split points need to be taken into consideration.
  • The entire stack (compaction, split, block size, max file size, flush size, version compression, mem store size, block cache, garbage collections nproc, and so on) needs to be fine-tuned to make the best of it.

The WAL are not written; thus, data lost during the failure may not be recovered as there is no replication performed by reading the WAL.

How to do it…

There are multiple ways to do this work, such as writing your own...

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