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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

Best practices for MySQL queries


It would be difficult to write the best queries for reference and reuse. It will always vary based on the nature of your application, architecture, design, table structure, and so on. However, precautions can be taken while writing MySQL queries for better performance, scalability, and integrity.

Let's go through a few of the best practices that we should keep in mind while designing or writing MySQL queries.

Data types

A database table would consist multiple columns having data types such as numeric or string. MySQL 8 provides various data types than just limiting to numeric or string.

  • Small is good. As MySQL loads data in memory, a large data size would adversely impact performance. Smaller sets can accommodate more data in memory and reduce overheads of resource utilization.
  • Fix your length. If you don't fix the data type length, it would have to go and fetch the required information each time it needs. So, wherever it's possible, you can limit data length...
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