March 2018
Beginner to intermediate
394 pages
10h 57m
English
Content preview from Modern Big Data Processing with Hadoop
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Difference between RDBMS table and column - oriented data store
We all know how data is stored in any RDBMS table. It looks like this:
|
ID |
Column_1 |
Column_2 |
Column_3 |
Column_4 |
|
1 |
A |
11 |
P |
XX |
|
2 |
B |
12 |
Q |
YY |
|
3 |
C |
13 |
R |
ZZ |
|
4 |
D |
14 |
S |
XX1 |
The column ID is used as a unique/primary key of the table to access data from other columns of the table. But in a column-oriented data store like HBase, the same table is divided into key and value and is stored like this:
| Key | Value | |
| Row | Column | Column Value |
| 1 | Column_1 | A |
| 1 | Column_2 | 11 |
| 1 | Column_3 | P |
| 1 | Column_4 | XX |
| 2 | Column_1 | B |
| 2 | Column_2 | 12 |
| 2 | Column_3 | Q |
| 2 | Column_4 | YY |
| 3 | Column_1 | C |
| 3 | Column_2 | 13 |
| 3 | Column_3 | R |
| 3 | Column_4 | ZZ |
In HBase, ...
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