Uncategorized

Scaling MySQL: Part 1

 

MySQL Cluster 7.3: 8.5x give you better scalability.

 

A MySQL administrator knows that one of MySQL’s most important features is its scalability.  When you start out using MySQL, you are more likely to use it in one box.  Then the need for separate servers according to function or business needs call for you to be able to scale your database and MySQL along with it.

How do you deal with it?  Did you know that there are several MySQL scaling techniques available to you?  These are, read/write splitting, distributed replicated block device, MySQL Cluster and cloud.  Are you familiar with each option and when to use each?  These are some of the things you need to know as a MySQL administrator.

First things first

First, run the latest version of MySQL.  You would need MySQL 5.6, which is the fastest MySQL version.  It also gives you a simpler and more worry-free platform to start with.

But if, for some reason, you cannot upgrade to the latest MySQL version, all is not lost.  You can add a Memcached Layer, which will give you a cache for fast access to session data and which can give you access to NoSQL for InnoDB.  It is also a simple process to do, but you would need to make your applications cache aware to benefit from this.

After this, you will need to find out what is required from your database and MySQL.  Is it to get the highest up time possible?  Or do your users need fast response times.  Or do you need to make sure that multiple users accessing the database would not be a problem?

[expand title=”Click here to read more about this article”]

After you figure it out, you will now know what scalability option is perfect.

1. Read/Write Splitting

Read/write splitting is making use of duplicate databases (you call slaves) to handle the reads for your system.  So even with too many users accessing it, you can make sure that the system can cope.  An offshoot benefit of this is that you are able to make sure that your master database is not overloaded, which is important because all the write processes are handled by the master.

Read/Write splitting is a popular way to scale your databases and MySQL, but it is not suitable for big data.  For one, because all the writes are handled by the master node alone, it creates a bottleneck and this can slow things down.  Plus, if you have big databases, you would need to replicate this to your slaves, as a whole.  You also get problems with replication lag and missing data.  Also, this does not improve query performance.  On top of all this, you would need to deal with a more complex environment because you are basically dealing with several databases.

So if you have a lot of data or if you do not want to deal with too many databases, what could you do?  Well, lucky for your MySQL administrator, there are a lot of options that you could use when it comes to MySQL scaling.  If you need guidance, call Four Cornerstone today and ask about our MySQL administrator courses!

Please stay tuned for the next part of this article tomorrow. We will discuss more about MySQL scaling.

Photo courtesy of MySQL.[/expand]

Cloud Blog

4 Ways To Benefit from…

One of the benefits you get when you work with cloud applications is that you often have quarterly updates that are packed with features. This...

Keep Reading

Artificial Intelligence

Data and Analytics: Cross the…

  Artificial intelligence is a manna sent from digital heaven. That’s how blessed your business can get if you immerse into the AI of things....

Keep Reading

Business Intelligence Blog

How Brand Names Survive in…

  The age of digital marketplace has made it possible for unknown and smaller companies to compete with better-known and well-established brands. Take for example...

Keep Reading

Artificial Intelligence

The Phenomenon That Is Artificial…

  Artificial intelligence is when a machine does cognitive functions that are more associated with humans, such as thinking, learning, problem solving, and reasoning. As...

Keep Reading

Cloud

Digital Transformation in Banking: Shift…

  The start of a new decade is already shaping up to be exciting for financial services, especially for banks as they continue to compete...

Keep Reading

Business Intelligence Blog

Data Science and Its Economic…

It would seem that artificial intelligence is the focus of businesses that are looking to future proof their organizations and stay competitive. And why not?...

Keep Reading

Data Blog

Ensure Efficient Data Science and…

In an ever-expanding landscape called Internet of Things and the exploding development of artificial intelligence, we are bombarded with complex methods of integrating data science...

Keep Reading

Business Intelligence Blog

Cybersecurity: The Top 5 Expectations…

  If you think about it, cybersecurity is closely tied to human rights, privacy, freedom, and even basic safety. As a whole, we have become...

Keep Reading

Business Intelligence Blog

Tech Security Should Be Easy…

  IT professionals know that tech security is important in everything that they do. And that there are a lot of products, tools, innovations, and...

Keep Reading

Business Intelligence Blog

The Top 6 Success Stories…

Nearly nine out of 10 digital transformation initiatives fail. Digital transformation projects fail for a variety of reasons. It can be because of a lack...

Keep Reading

Live Chat | Emergency