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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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Toc

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

MySQL benchmarks and configurations


We have gone through various new features and improvements MySQL 8 is coming up with. It makes us more excited as performance is always what we crave for. MySQL 8 not being generally available yet, Oracle hasn't published its benchmark results. We didn't wait for it and did analysis on our own in a few areas.

Configuration best practices of MySQL is the cherry on the cake; without the cherry, the cake seems incomplete. In addition to configurations, benchmarking helps us validate and find bottlenecks and address them. Let's look at a few specific areas that would help us understand best practices for configuration and performance benchmarking.

Resource utilization

IO activity, CPU, and memory usage is something that you should not miss out. These metrics help us know how the system is performing while doing benchmarking and at the time of scaling. It also helps us derive impact per transaction.

Stretch your timelines of benchmarks

We often would like to have...

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