Book Image

MySQL 8 for Big Data

By : Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya
Book Image

MySQL 8 for Big Data

By: Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya

Overview of this book

With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Best practices for the Memcached configuration


We have already gone through Memcached setup and configuration along with using it with different APIs in Chapter 4, Using Memcached with MySQL 8. The key takeaways that you would like to consider for Memcached configuration best practices are what we will be going through now.

Resource allocation

Memory allocation for Memcached shouldn't be allocated over the available physical memory or without considering other resources that would be utilizing memory. If we overallocate memory, there are high chances that Memcached would have memory allocated from swapspace. This may lead to delay while inserting or fetching values because swap space is stored on disk, which is slower than in-memory.

Operating system architecture

With operating system architecture having 32 bits, one needs to be cautious. As we know, there are limitations to provision resources in 32-bit operating system architecture. Similarly, Memcached having 4GB RAM with 32-bit operating...