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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

Overview of Memcached


While talking about handling Big Data with MySQL, we would have to obviously think about the performance--how do we handle the performance when storing and retrieving data frequently? One of the prominent answers is Memcached, which boosts the performance of frequent data retrieval and storage because it skips the query parser, SQL optimizer, and other parts of the engine that are unnecessary and allows us to store or retrieve data directly with InnoDB. Using Memcached, data management is much faster and convenient for handling Big Data.

MySQL 8 provides you with the InnoDB Memcached plugin named daemon_memcached, which can help us in managing data easily. It will automatically store and retrieve data from InnoDB tables and provide get, set, and incr operations that remove performance overhead by skipping SQL parsing, which speeds up data operations.

The following diagram will help you understand better how queries are parsed when using Memcache:

As shown in the previous...

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