The latest from the MySQL community

MyISAM is one of the most popular storage engines in MySQL. MyISAM frequently is the second choice after InnoDB - in this blog post we will try to find out how best to work with this engine.

What is MyISAM?

MyISAM is one of MySQL’s storage engines. MyISAM is based on ISAM (Indexed Sequential Access Method), an indexing algorithm developed by IBM that allows retrieving information from large sets of data in a fast way. However, it does not do very well when simultaneously reading from and writing to one table, due to its table locking. It also does not support transactions.

For some MySQL engineers, this engine is the most popular choice after InnoDB: the …

I was about to benchmark the various compression methods in MySQL ( Via Engines ). But i liked to simulate my own data set similar to a production work load. Well searched for a tool which should be flexible to enough make customised table structure and more.

Mysql_random_data_load is a tool from Percona labs used to manipulate random data based on flexible table structure. This seems like a right fit for our benchmarking needs.

Let’s explore this tool to work efficiently on it.

MySQL Random Data Load :

Mysql_random_data_load will load (insert) ‘n’ number of records to the source table and populate it with random data based on data type. So this tool won’t determine the predefined table column or data type like sysbench. It will insert data into the table based on column data type. Thus we …

I am super pleased to share that I have completed and uploaded my first (that I can share at least) personal portfolio piece written in PHP to a subdomain on my personal hosting server located at walk.openlamp.tech. Over the better part of the last year, I have developed a custom reporting dashboard written in PHP for my (current) employer, but do not share any of that work as it is proprietary and not owned by me. However, for a personal project, I can share far and wide. In this post, I provide a brief overview of my simple (in theory at least) application/site, built on the LAMP stack using the MVC (Model-View-Controller) design pattern in core PHP along with Bootstrap 4, jQuery, and MySQL.

Image by …

How scheduler and script stand in supporting failover (Percona and Marco example) 

In part one of this series,  I had illustrated how simple scenarios may fail or have problems when using Galera native support inside ProxySQL. In this post, I will repeat the same tests but using the scheduler option and the external script.

The Scheduler

First a brief explanation about the scheduler.

The scheduler inside ProxySQL was created to allow administrators to extend ProxySQL capabilities. The scheduler gives the option to add any kind of script or application and run it at the specified interval of time. The scheduler was also the initial first way we had to deal with Galera/Percona XtraDB Cluster (PXC) node …

How scheduler and script stand in supporting failover (Percona and Marco example) 

In part one of this series,  I had illustrated how simple scenarios may fail or have problems when using Galera native support inside ProxySQL. In this post, I will repeat the same tests but using the scheduler option and the external script.

The Scheduler

First a brief explanation about the scheduler.

The scheduler inside ProxySQL was created to allow administrators to extend ProxySQL capabilities. The scheduler gives the option to add any kind of script or application and run it at the specified interval of time. The scheduler was also the initial first way we had to deal with Galera/Percona XtraDB Cluster (PXC) node …

In recent times I have been designing several solutions focused on High Availability and Disaster Recovery. Some of them using Percona Server for MySQL with group replication, some using Percona XtraDB Cluster (PXC). What many of them had in common was the use of ProxySQL for the connection layer. This is because I consider the use of a layer 7 Proxy preferable, given the possible advantages provided in ReadWrite split and SQL filtering. 

The other positive aspect provided by ProxySQL, at least for Group Replication, is the native support which allows us to have a very quick resolution of possible node failures.

ProxySQL has Galera support as well, but in the past, that had shown to be pretty unstable, and the …

In recent times I have been designing several solutions focused on High Availability and Disaster Recovery. Some of them using Percona Server for MySQL with group replication, some using Percona XtraDB Cluster (PXC). What many of them had in common was the use of ProxySQL for the connection layer. This is because I consider the use of a layer 7 Proxy preferable, given the possible advantages provided in ReadWrite split and SQL filtering. 

The other positive aspect provided by ProxySQL, at least for Group Replication, is the native support which allows us to have a very quick resolution of possible node failures.

ProxySQL has Galera support as well, but in the past, that had shown to be pretty unstable, and the …

MySQL Cluster: MySQL Cluster is a real time, ACID-compliant transactional database. It is a combination of MySQL server and the NDB storage engine. Data is cached in memory and durably stored on disk. Indexed columns are always kept in memory while non-indexed columns can be kept in memory or disk. It was mainly designed for telecom databases with 99.999% availability and high performance. Unlike simpler sharded systems, MySQL Cluster transactions can transparently query and update all data in the system.

Key features of MySQL Cluster:

•     MySQL Cluster is designed using a shared nothing architecture

• Support for large database sizes

  •         With all columns kept in memory, can store upto few terabytes

  •         With some columns kept on disk, can store upto few petabytes

    …

In previous post we analyzed MySQL performance on x86 and ARM using the Cost-Performance Model (#cpm) where-in Cost and other resources (except compute power) was kept constant allowing compute power to differ. ARM being cheaper got more compute power for the same cost. That was a user perspective story but developers were also interested to understand how MySQL scale if we provide the same computing power.

We decided to go ahead with this and benchmark MySQL on x86 and ARM except this time with the same compute power (keeping all other resources memory, storage, etc… same) and allowing cost to differ with ARM variant cheaper than x86 variant. It would also help understand if ARM is really powerful for High-Performance Computing like databases.

Benchmarking Setup

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Since Covid situation we are - same as the rest of the world - switching most of our MySQL sessions & workshops to the online word. Below you can find the list of events with MySQL recorded sessions we run during the time from September to end of November and also some interesting videos as well. So, the list below includes publicly available recorded MySQL sessions (or slides only) from conferences end other events we attended. 

• September 2020:

  • Open Source Conference Hiroshima, September 19, 2020

    • MySQL Session: "MySQL Update"
    • Speaker: Yoshiaki Yamasaki, the MySQL Principal Solution Engineer
    • URL:  …