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MySQL and UUIDs

In ALTER TABLE for UUID we discuss currently proper way to store and handle UUID in MySQL. Currently it works, even in a performant way, but it still hurts. It should not.

Definition of UUID

The RFC 4122 defines various types of UUID, and how they are being formatted for presentation and as a bit field on the wire. As this document was written bei Leach and Salz, among others, RFC 4122 UUIDs are also called “Leach-Salz UUIDs” (for example in the Java Documentation).

There are other UUID variants, used in other systems (NCS, and Microsoft “backwards compatibility”).

A RFC 4122 UUID is a special 128 bit long value ( …

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Which Version of MySQL Should I Use for MyRocks?

As database footprints continue to explode, many companies are looking for ways to deal with such rapid growth.  One approach is to refactor traditional relational databases to fit into a NoSQL engine, where horizontal scalability is easier.  However, in many cases, this is in no way a trivial undertaking.

Another approach that has been gaining interest is the use of MyRocks as an alternative storage engine to the traditional InnoDB.  While not for everyone, in certain use cases it could be a potential solution.  As with so many things open source, the next standard questions are: which version should I use?  Any differences with the engine if I use MyRocks with MySQL 5.7 vs 8.0?

In this post, I wanted to touch on this and give some high-level thoughts on MyRocks when it comes to the version of MySQL.

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How to Encrypt MySQL Data Using AES Techniques

Sometimes clients want that the information they collected from the user should be encrypted and stored in a database. Data encryption and…

Continue reading on Thinkdiff »

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MySQL & macOS Silicon

It’s a problem for my students who purchased the new Apple hardware that uses Apple Silicon because they can’t install a Docker MySQL instance. However, there is Homebrew formula that works on macOS Big Sur and the new Apple silicon. It supports:

  • Intel Silicon: macOS Big Sur, Catalina, and Mojave
  • Apple Silicon: macOS Big Sur

The Homebrew Formula does have conflicts that you may need to avoid. It is a solution for those with the new Apple silicon.

As always, I hope this helps those looking for a solution.

Percona XtraBackup Point-In-Time Recovery for the Single Database

Recovering to a particular time in the past is called Point-In-Time Recovery (PITR). With PITR you can rollback unwanted DELETE without WHERE clause or any other harmful command.

PITR with Percona XtraBackup is pretty straightforward and perfectly described in the user manual. You need to restore the data from the backup, then apply all binary logs created or updated after the backup was taken, but skip harmful event(s).

However, if your data set is large you may want to recover only the affected database or table. This is possible but you need to be smart when filtering events from the binary log. In this post, I will show how to perform such a partial recovery using Percona XtraBackup, …

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Upgrading to MySQL 8: Embrace the Challenge

Nobody likes change, especially when that change may be challenging.  When faced with a technical challenge, I try to remember this comment from Theodore Roosevelt: “Nothing in the world is worth having or worth doing unless it means effort, pain, difficulty.”  While this is a bit of an exaggeration, in this case, the main concept is still valid.  We shouldn’t shy away from an upgrade path because it may be difficult.

MySQL 8.0 is maturing and stabilizing.  There are new features (too many to list here) and performance improvements.  More and more organizations are upgrading to MySQL 8 and running it in production, which expedites the stabilization.  While there is still some significant runway on 5.7 and it is definitely stable (EOL slated for October 2023), organizations need to be preparing to make the jump if they haven’t already. 

What Changed?

So …

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Making an unexpected leap with interval syntax

(based on a find by Ruud van Tol, and several Twitter contributions)

Ruud commented on our DST discussion

with

mysql> SELECT 
'2019-02-28 12:34:56'+ INTERVAL 1 YEAR + INTERVAL 1 DAY as a, 
'2019-02-28 12:34:56'+ INTERVAL 1 DAY + INTERVAL 1 YEAR  as b\G
a: 2020-02-29 12:34:56
b: 2020-03-01 12:34:56

2019 is a year before a leap year. Adding (left to right) a year brings us to 2020-02-28, and then adding a day makes this 2020-02-29, because it’s a leap year.

On the other hand, adding a day first makes it 2019-03-01, and then adding a year makes it 2020-03-01, a different result.

Clearly, addition is not commutative on dates, and having a two step interval addition is breaking expectations here.

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Real-Time Big Data Analytics: How to Replicate from MySQL to Hadoop

It’s Hadoop’s 15th birthday and we’re looking at how to easily replicate from MySQL to Hadoop and why in this blog on real-time big data analytics.

Tags: MySQLreplicationreal-timeHadooptungsten replicatoramazon marketplacebig data

Working to Validate MyRocks in the Enterprise with Dropbox

Percona Technical Account Managers get the privilege of working with some of our largest enterprise clients day in and day out.  As such, we get to really focus on how to best leverage our technology to generate measurable benefits for our users.  While it is fun to “nerd out” and always strive to use the latest and greatest, we need to stay focused on demonstrating business value and a genuine need.  Over the past few months, I’ve been working with one of my larger clients, Dropbox, along with our professional services team to validate the use of Percona Server for MySQL with the MyRocks storage engine over a large portion of their MySQL infrastructure.

Please note – this is not meant to be a deep dive into the technical details around …

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Infinitely Scalable Storage with High Compression Feature

It is no secret that compute and storage costs are the main drivers of cloud bills. Migration of data from the legacy data center to the cloud looks appealing at first as it significantly reduces capital expense (CapEx) and keeps operational expenses (OpEx) under control. But once you see the bill, the lift and shift project does not look that promising anymore. See Percona’s recent open source survey which shows that many organizations saw an unexpected growth around cloud and data.

Storage growth is an organic process for the expanding business: more customers store more data, and more data needs more backups and disaster recovery storage for low RTO.

Today, the Percona Innovation Team, which is part of the Engineering organization, is proud to announce a new feature – High Compression. With this feature enabled, …

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