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MySQL 8 for Big Data

You're reading from  MySQL 8 for Big Data

Product type Book
Published in Oct 2017
Publisher Packt
ISBN-13 9781788397186
Pages 296 pages
Edition 1st Edition
Languages
Concepts
Authors (4):
Shabbir Challawala Shabbir Challawala
Profile icon Shabbir Challawala
Chintan Mehta Chintan Mehta
Profile icon Chintan Mehta
Kandarp Patel Kandarp Patel
Profile icon Kandarp Patel
Jaydip Lakhatariya Jaydip Lakhatariya
Profile icon Jaydip Lakhatariya
View More author details

Table of Contents (17) Chapters

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Introduction to Big Data and MySQL 8 Data Query Techniques in MySQL 8 Indexing your data for High-Performing Queries Using Memcached with MySQL 8 Partitioning High Volume Data Replication for building highly available solutions MySQL 8 Best Practices NoSQL API for Integrating with Big Data Solutions Case study: Part I - Apache Sqoop for exchanging data between MySQL and Hadoop Case study: Part II - Real time event processing using MySQL applier

Summary


You now have good knowledge of the different types of index structures supported by MySQL and now how to create an index in MySQL. You also learned different types of indexes available in MySQL 8 such as clustered index, covering index, descending index, and invisible index. We got a good understanding of fulltext indexing and how natural language fulltext indexes and fulltext indexes on Boolean mode works.

In the next chapter, we will cover some interesting things to boost MySQL performance such as how to set up Memcache, usage of Memcache, Memcache configuration, using Memcache APIs, how to analyze data stored in Memcache, and how to use Memcache APIs in MySQL 8.

 

 

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