Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
HBase High Performance Cookbook

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

Arrow left icon
Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
Arrow right icon
View More author details
Toc

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

Extracting data from Oracle

HBase doesn't allow direct interaction or a pipeline for data import from Oracle and MySQL to HBase. The basic concept remains the same: to first extract the data into flat / text files (ImportTsv format), transform the data into HFiles, and then load them into HBase by telling the region server where to find them.

Getting ready

Let's start with getting public data from the following URL:

http://databank.worldbank.org/data/download/WDI_csv.zip

This will have the following files:

  • WDI_Data.csv
  • WDI_Country.csv (this is the file we will use)
  • WDI_Series.csv
  • WDI_CS_Notes.csv
  • WDI_ST_Notes.csv
  • WDI_Footnotes.csv
  • WDI_Description.csv

We will be using this as data and nothing else; this is freely available on the aforementioned World Bank site.

We will then create a table in Oracle Schema on your SQL prompt:

The names of the column used have an exact match with WDI_Country.csv:

CREATE TABLE WDI_COUNTRY 

(
"COUNTRY_CODE" VARCHAR2(100 BYTE),

"SHORT_NAME&quot...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image