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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

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781788397186

Length 296 pages

Edition 1st Edition

Languages

SQL

Tools

Hadoop

Concepts

Big Data

Authors (4):

Chintan Mehta

Shabbir Challawala

Jaydip Lakhatariya

Kandarp Patel

View More author details

Table of Contents (11) Chapters

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

Horizontal partitioning in MySQL 8

As mentioned, horizontal partitioning will create more than one partition of the data. Each partition will have the same number of columns. Different partitioning techniques are used to divide the page into multiple partitions. Consider the following figure for horizontal partitioning:

The following is the list of partitioning types supported in MySQL 8:

Range partitioning
List partitioning
Hash partitioning
Columns partitioning
Key partitioning
Sub partitioning

Let's understand each partitioning type in detail.

Range partitioning

When partitioning is done based on expressions that contain contiguous non-repetitive values of ranges, it is known as range partitioning. The expression for range partitioning contains the key VALUE LESS THAN operator.

There are multiple data types, based on which we can partition the table:

CREATE TABLE access_log ( 
log_id INT NOT NULL, 
type VARCHAR(100), 
access_url VARCHAR(100), 
access_date TIMESTAMP NOT NULL, 
response_time INT NOT...

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Authors (4)

Challawala

Challawala

Shabbir Challawala has over 8 years of rich experience in providing solutions based on MySQL and PHP technologies. He is currently working with KNOWARTH Technologies. He has worked in various PHP-based e-commerce solutions and learning portals for enterprises. He has worked on different PHP-based frameworks, such as Magento E-commerce, Drupal CMS, and Laravel. Shabbir has been involved in various enterprise solutions at different phases, such as architecture design, database optimization, and performance tuning. He has been carrying good exposure of Software Development Life Cycle process thoroughly. He has worked on integrating Big Data technologies such as MongoDB and Elasticsearch with a PHP-based framework.

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Jaydip Lakhatariya

Jaydip Lakhatariya

Jaydip Lakhatariya has rich experience in portal and J2EE frameworks. He adapts quickly to any new technology and has a keen desire for constant improvement. Currently, Jaydip is associated with a leading open source enterprise development company, KNOWARTH Technologies, where he is engaged in various enterprise projects. Jaydip, a full-stack developer, has proven his versatility by adopting technologies such as Liferay, Java, Spring, Struts, Hadoop, MySQL, Elasticsearch, Cassandra, MongoDB, Jenkins, SCM, PostgreSQL, and many more. He has been recognized with awards such as Merit, Commitment to Service, and also as a Star Performer. He loves mentoring people and has been delivering training for Portals and J2EE frameworks.

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Patel

Patel

Yogesh Patel has been programming since the year 2000, and has been working in the IT industry for over ten years on a variety of technologies. He was mainly involved in Sitecore or .NET-based development in the Indian offices of US and UK-based organizations. He has worked at Investis Ltd as a technical architect and has lead a Sitecore development team. Yogesh has held a number of positions and has a lot of responsibilities, having worked at Investis since 2009. He has been recognized as a Most Valuable Professional (MVP) by Sitecore for 2014, 2015, and 2016. As a developer, Yogesh enjoys learning new programming techniques, practices, and tactics. He has worked on .NET since 2005 and Sitecore since 2009. He has also spent plenty of time developing in C, VC++, MATLAB, VB6, ASP, Java, PHP, AppleScript, SQL, and MySQL, but his current focus is on .NETespecially Sitecore. His blog can be found at http://sitecoreblog.patelyogesh.in. You can find Yogesh on Twitter at @patelyogesh_in, as well as LinkedIn (yspatel) and Facebook (patelyogesh.in).

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Mehta

Mehta

Chintan Mehta is a co-founder of KNOWARTH Technologies and heads the cloud/RIMS/DevOps team. He has rich, progressive experience in server administration of Linux, AWS Cloud, DevOps, RIMS, and on open source technologies. He is also an AWS Certified Solutions Architect. Chintan has authored MySQL 8 for Big Data, Mastering Apache Solr 7.x, MySQL 8 Administrator's Guide, and Hadoop Backup and Recovery Solutions. Also, he has reviewed Liferay Portal Performance Best Practices and Building Serverless Web Applications.

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