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MySQL 8 for Big Data

You're reading from   MySQL 8 for Big Data Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781788397186
Length 296 pages
Edition 1st Edition
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Authors (4):
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Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Shabbir Challawala Shabbir Challawala
Author Profile Icon Shabbir Challawala
Shabbir Challawala
Jaydip Lakhatariya Jaydip Lakhatariya
Author Profile Icon Jaydip Lakhatariya
Jaydip Lakhatariya
Kandarp Patel Kandarp Patel
Author Profile Icon Kandarp Patel
Kandarp Patel
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Big Data and MySQL 8 FREE CHAPTER 2. Data Query Techniques in MySQL 8 3. Indexing your data for High-Performing Queries 4. Using Memcached with MySQL 8 5. Partitioning High Volume Data 6. Replication for building highly available solutions 7. MySQL 8 Best Practices 8. NoSQL API for Integrating with Big Data Solutions 9. Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop 10. Case study: Part II - Real time event processing using MySQL applier

Vertical partitioning


As stated earlier, vertical partitioning divides the columns into multiple file groups.

Vertical partitioning can be achieved by the following:

  • Row splitting into multiple file groups that can be stored at multiple locations
  • Organizing data into multiple tables by breaking large data tables into smaller database tables

In row splitting, columns from one table are vertically separated into multiple file groups. When there are large datasets stored in a table, it may be difficult to manage large database files on a single location or server. So we can divide some of the columns from the database into a separate file group where can be managed on a separate disk.

Consider the following screenshot for vertical partitioning of the user table. As stated earlier, the database table, users, has been split into two separate partitions stored on different storage.

There can be more than two partitions of the table:

Vertical partitioning of a single table into multiple file groups is...

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