We added a number of new dashboards for MySQL in our latest release of ClusterControl 1.7.0. - and in our previous blog, we showed you How to Monitor Your ProxySQL with Prometheus and ClusterControl.

In this blog, we will look at the MySQL Overview dashboard.

So, we have enabled the Agent Based Monitoring under the Dashboard tab to start collecting metrics to the nodes. Take note that when enabling the Agent Based Monitoring, you have the options to set the “Scrape Interval (seconds)” and “Data retention (days)”. Scraping Interval is where you want to set how aggressively Prometheus will harvest data from the target and Data Retention is how long you want …

ProxySQL 1.4.11, released by ProxySQL, is now available for download in the Percona Repository along with an updated version of Percona’s proxysql-admin tool.

ProxySQL is a high-performance proxy, currently for MySQL and its forks (like Percona Server for MySQL and MariaDB). It acts as an intermediary for client requests seeking resources from the database. René Cannaò created ProxySQL for DBAs as a means of solving complex replication topology issues.

The ProxySQL 1.4.11 source and binary packages available at https://percona.com/downloads/proxysql …

As a continue of the previous blog announcement posted on Oct 16, please find below a list of conferences & events where you can find MySQL team &/or MySQL Community during the period of Oct-Dec 2018:

November 2018 - cont.

• PerconaLive, Frankfrurt Germany, November 5-7, 2018

  • We are happy to inform that MySQL is going to be Silver sponsor of PerconaLive Europe 2018! You will be able to find us on the MySQL booth in the expo hall as well as attend multiple MySQL talks given by our colleagues. The talks are scheduled as follows:
    • Tutorial on: "MySQL InnoDB Cluster in a Nutshell : The Saga …

Tungsten Clustering is an extraordinarily flexible tool, with options at every layer of operation.

In this blog post, we will describe and discuss the two different methods for installing, updating and upgrading Tungsten Clustering software.

When first designing a deployment, the question of installation methodology is answered by inspecting the environment and reviewing the customer’s specific needs.

Staging Deployment Methodology

All for One and One for All

Staging deployments were the original method of installing Tungsten Clustering, and relied upon command-line tools to configure and install all cluster nodes at once from a central location called the staging server.

This staging server (which could be one of the cluster nodes) requires SSH access to all …

The MySQL Enterprise Tools Development Team is pleased to announce the maintenance release of MySQL Enterprise Monitor 8.0.3 is now available for download on the My Oracle Support (MOS) web site. It will also be available for download via the Oracle Software Delivery Cloud in a few days.

If you are not familiar with MySQL Enterprise Monitor, it is the best-in-class tool for monitoring and management of your MySQL assets and is part of MySQL Enterprise Edition and MySQL Cluster Carrier Grade Edition subscriptions. You are invited to give it a try using our 30-day free customer trial. Go to http://www.mysql.com/trials, or contact Sales at http://www.mysql.com/about/contact. …

System-versioned tables, or temporal tables, are a typical feature of proprietary database management systems like DB2, Oracle and SQL Server. They also appeared at some point in PostgreSQL, but only as an extension; and also in CockroachDB, but in a somewhat limited fashion.

The MariaDB® implementation is the first appearance of temporal tables in the MySQL ecosystem, and the most complete implementation in the open source world.

My presentation will be useful for analysts, and some managers, who will definitely benefit from learning how to use temporal tables. Statistics about how data evolves over time is an important part of their job. This feature will allow them to query data as it was at a certain point in time. Or to query how data changed over a period, including rows that were …

Uber is committed to delivering safer and more reliable transportation across our global markets. To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks…

The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.

We are growing!

Consequently, Continuent needs additional talented staff.

We are currently looking for a person who would be a good fit for our “Database Clustering Technical Sales & Support Engineer” position, in the US Pacific timezone.

If you know someone who would be a good fit for this role and our company’s culture, please send them our way.

Co-Author: Rafael Alvarez

When you look up the word idempotence in wikipedia you get the following definition: Idempotence is the property of certain operations in mathematics and computer science whereby they can be applied multiple times without changing the result beyond the initial application.

When I think of idempotence in the sense of how IT operations work, the very first thing that comes to mind is Ansible. In Ansible you have a yml file that represents a state you want the target host to be in. For example, I can use the yum module to ensure that MySQL is installed on my RHEL virtual machine. When the playbook is run, it checks if MySQL is installed. If not, it will install it. It is installed, then it will ignore that …

Parallel replication has been around for a few years now but is still not that commonly used. I had a customer where the master had a very large write workload. The slave could not keep up so I recommended to use parallel slave threads. But how can I measure if it really helps and is working?

At my customer the

slave_parallel_workers

  was 0. But how big should I increase it, maybe to 1? Maybe to 10? There is a blog post about how can we see how many threads are actually used, which is a great help.

We changed the following variables on the slave:

slave_parallel_type = LOGICAL_CLOCK;
slave_parallel_workers = 40;
slave_preserve_commit_order = ON;

40 threads sounds a lot, right? Of course, this is workload specific: if the transactions are independent it might be …