Dear MySQL users,

MySQL Connector/Python 2.1.8 GA is a sixth GA version of 2.1 release
series of the pure Python database driver for MySQL. It can be used for
production environments.

MySQL Connector/Python version 2.1.8 GA is compatible with MySQL Server
versions 5.5 and greater. Python 2.6 and greater as well as Python 3.4
and greater are supported. Python 2.4, 2.5, and 3.1, 3.2, 3.3 are not
supported.

MySQL Connector/Python 2.1.8 is available for download from:

http://dev.mysql.com/downloads/connector/python/#downloads

MySQL Connector/Python 2.1.8 (Commercial) will be available for download
on the My Oracle Support (MOS) website. This release will be available
on eDelivery (OSDC) in next month’s upload cycle.

The ChangeLog file included in the …

In my previous blog post about millions of table in MySQL 8, I was able to create one million tables and test the performance of it. My next challenge is to create 40 million tables in MySQL 8 using shared tablespaces (one tablespace per schema). In this blog post I’m showing how to do it and what challenges we can expect.

Background

Once again – why do we need so many tables in MySQL, what is the use case? The main reason is: customer isolation. With the new focus on security and privacy (take GDPR for example) it is much easier and more beneficial to create a separate schema (or “database” in MySQL terms) for each customer. That creates a new set of challenges that we will need to solve. Here is the summary:

…

Join Percona Chief Evangelist Colin Charles as he covers happenings, gives pointers and provides musings on the open source database community.

There has been a lot of talk around licenses in open source software, and it has hit the database world in the past weeks. Redis Labs relicensed some AGPL software to the Commons Clause (in their case, Apache + Commons Clause; so you can’t really call it Apache any longer). I’ll have more to say on this topic soon, but in the meantime you might enjoy reading Open-source licensing war: Commons Clause. This was the most balanced article I read about this move and the kerfuffle it has caused. We also saw this with Lerna (not database related), and here’s another good read: …

Please join Percona’s CEO, Peter Zaitsev as he presents Choosing the Right Open Source Database on Wednesday, September 5th, 2018 at 11:00 AM PDT (UTC-7) / 2:00 PM EDT (UTC-4).

Register Now

The world of open-source databases is overwhelming. There are dozens of types of databases – relational DBMS, time-series, graph, document, etc. – not to mention the dozens of software options within each of those categories. More and more, the strategies of enterprises involve open source software and open source database software. …

This morning I received an update on a MySQL bug, someone added a comment on an issue I filed in November 2003, originally for MySQL 4.0.12 and 4.1.0. It’s MySQL bug#1956 (note the very low number!), “Parser allows naming of PRIMARY KEY”:

[25 Nov 2003 16:23] Arjen Lentz
Description:
When specifying a PRIMARY KEY, the parser still accepts a name for the index even though the MySQL server will always name it PRIMARY.
So, the parser should NOT accept this, otherwise a user can get into a confusing situation as his input is ignored/changed.

How to repeat:
CREATE TABLE pk (i INT NOT NULL);
ALTER TABLE pk ADD PRIMARY KEY bla (i);

'bla' after PRIMARY KEY should not be accepted.

Suggested fix:
Fix grammar in parser.

Most likely we found it during a MySQL training session, training days have always been a great bug catching …

One of the common ways to classify database workloads is whether it is  “read intensive” or “write intensive”. In other words, whether the workload is dominated by reads or writes.

Why should you care? Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.

This question looks trivial on the surface, but as you go deeper—complexity emerges. There are different “levels” of reads and writes for you to consider. You can also choose to look at event counts or at the time it takes to do operations. These can provide very different responses, especially as the cost difference between a single read and a single write can be an order of magnitude.

Let’s examine the TPC-C Benchmark from this point of view, or more specifically its …

In April, I already posted an article on how to upgrade safely your MySQL InnoDB Cluster, let’s review this procedure now that MySQL 8.0.12 is out.

To upgrade all the members of a MySQL InnoDB Cluster (Group), you need to keep in mind the following points:

• upgrade all the nodes one by one
• always end by the Primary Master in case of Single Primary Mode
• after upgrading the binaries don’t forget to start MySQL without starting Group Replication (group_replication_start_on_boot=0)
• to run mysql_upgrade

Let’s see this in action on the video below:

As you could see, this is quick and easy.

…

This blog will show how to install the Percona XtraDB Cluster on three CentOS 7.3 servers, using the packages from Percona repositories. This is a step-by-step installation and configuration blog, We recommend Percona XtraDB Cluster for maximum availability / reliability and scale-out READ/WRITE optimally. We are an private-label independent and vendor neutral consulting, support, managed services and education solutions provider for MySQL, MariaDB, Percona Server and ClickHouse with core expertise in performance, scalability, high availability and database reliability engineering. All our blog posts are purely focussed on education and research across open source database systems infrastructure operations. To engage us for building and managing web-scale database infrastructure operations, Please contact us on contact@minervadb.com  

This cluster will be assembled of three …

Is increasing GP2 volumes size or increasing IOPS for IO1 volumes a valid method for scaling IO-Bound workloads? In this post I’ll focus on one question: how much can we improve performance if we use faster cloud volumes? This post is a continuance of previous cloud research posts:

• Saving With MyRocks in The Cloud
• Percona XtraDB Cluster on Amazon GP2 Volumes

To recap, in Amazon EC2 we can use gp2 and io1 volumes. gp2 performance can be scaled with size, i.e for gp2 volume size of 500GB we get 1500 iops; size 1000GB – 3000 iops; and for 3334GB – 10000 iops (maximal …

Pluggable Password Store

This feature which is enabled by default, allows the Shell using an external component “Secret Store”, to persist session passwords in a secure way. Whenever a new session is created while working with the shell in interactive mode, the option to persist the password for the session will be made available.…