PS_history is a tool which collects historical snapshots of the PERFORMANCE_SCHEMA (P_S). This allows you to trend P_S values over time, for example, it is possible to look at the 95 th percentile response time for a query over time.

PS_history is stored procedure and event based, and thus it resides entirely inside of the database with no external dependencies. It uses a clever technique to capture all of the P_S data in one consistent snapshot. This ensures that all of the sys_history views (bundled now with PS_history) have a consistent set of data.

By default, as long as the event_schedule is enabled, PS_history will collect data every 30 seconds. If a snapshot takes 30 seconds, there will be a 30 second delay before the next snapshot starts. This value can be changed by calling the `ps_history`.`set_collection_interval`(N) where N is the number of seconds between samples.

The `sys_history` schema is …

PS_history is a tool which collects historical snapshots of the PERFORMANCE_SCHEMA (P_S). This allows you to trend P_S values over time, for example, it is possible to look at the 95 th percentile response time for a query over time.

PS_history is stored procedure and event based, and thus it resides entirely inside of the database with no external dependencies. It uses a clever technique to capture all of the P_S data in one consistent snapshot. This ensures that all of the sys_history views (bundled now with PS_history) have a consistent set of data.

By default, as long as the event_schedule is enabled, PS_history will collect data every 30 seconds. If a snapshot takes 30 seconds, there will be a 30 second delay before the next snapshot starts. This value can be changed by calling the `ps_history`.`set_collection_interval`(N) where N is the number of seconds between samples.

The `sys_history` schema is …

The MySQL Connector/Python Team is pleased to announce the newest MySQL Connector/Python 2.1.4, the second GA version of 2.1 release series of the pure Python database driver for MySQL.

This release includes a number of improvements for usability, stability and security.

Changes in MySQL Connector/Python 2.1.4 GA Security Notes

The linked OpenSSL library for Connector/Python Commercial has been updated to version 1.0.1q. Issues fixed in the new OpenSSL version are described at http://www.openssl.org/news/vulnerabilities.html. This change does not affect Oracle-produced MySQL Community builds of Connector/Python, which use the yaSSL library instead.
The change also does not affect connections made using any pure Python implementation of Connector/Python, for which the version of OpenSSL used is whatever is installed on the system.

Bugs fixed

• Connector/Python failed to establish connections …

To focus on just one point for OTN appreciation day on October 11 2016 and to the benefit of all users of MySQL is to consider the extremely convenient and rich value of information available in the MySQL Performance Schema to understand what SQL queries are running in a MySQL instance now. The MySQL Performance Schema in MySQL 5.6 is enabled by default, (performance_schema=on).

The following one off SQL statement will enable the instrumentation of SQL statements in the most detailed level of assessment.

The following query will show you the longest running queries in your database at this present time.

This ease of accessing what is running in a MySQL instance replaces many different and creative techniques …

Hi all MySQL & Friends fans,

I’ve the pleasure to announce you that the CfP for MySQL & Friends Devroom for Fosdem 2017 is now open.

FOSDEM 2017 edition will be held February 4 and 5 in Brussels like every year since 2000.

The MySQL & Friends Devroom is back again on Saturday from 9.00AM.

What is FOSDEM? It stands for the “Free and Open Source Software Developers’ European Meeting.” It’s a free event that offers open-source communities a place to meet, share ideas and collaborate.

CfP is open until December 6th (St Nicolas)!

The submission can be done using https://fosdem.org/submit.

If you don’t have an account yet, …

Graphs are important, as they’re your window onto your monitored systems. ClusterControl comes with a predefined set of graphs for you to analyze, these are built on top of the metric sampling done by the controller. Those are designed to give you, at first glance, as much information as possible about the state of your database cluster. You might have your own set of metrics you’d like to monitor though. Therefore ClusterControl allows you to customize the graphs available in the cluster overview section and in the Nodes -> DB Performance tab. Multiple metrics can be overlaid on the same graph.

Overview tab

Let’s take a look at the cluster overview - it shows the most important information aggregated under different tabs.

You can see there graphs like “Cluster Load” and “Galera - Flow Ctrl” along with couple of others. If this is not enough for you, you can click on “Dash Settings” and then pick …

About one month ago, the MySQL team at Oracle released MySQL 8.0, with a large list of changes. One of the most interesting features in the new release is also one that does not show up much, also because the team has gone to great length to keep most of its implementation hidden: the data dictionary.

What makes the data dictionary so interesting, despite its scarce visibility, is the effect that it has on performance. Up to MySQL 5.7, searching the information_schema was an onerous operation, potentially crippling the system. In MySQL 8.0, the same operations are …

This blog reports the results of Percona’s database security poll.

As Peter Zaitsev mentioned recently in his blog post on database support, the data breach costs can hit both your business reputation and your bottom line. Costs vary depending on the company size and market, but recent studies estimate direct costs ranging in average from $1.6M to 7.01M. Everyone agrees leaving rising security risks and costs unchecked is a recipe for disaster.

Reducing security-based outages doesn’t have a simple answer, but can be a combination of internal and external monitoring, support contracts, enhanced security …

In this blog post, I’ll provide my thoughts about Consul for ProxySQL service discovery and automation.

I approached Consul recently while looking for a service discovery and configuration automation solution for ProxySQL. My colleague Nik Vyzas wrote a great post on this topic, and I suggest you read it. I wrote this article to share my first impressions of Consul (for whomever it might interest).

Consul is a complete service discovery solution. In this respect it differs from its alternative etcd, which only provides a foundation to build such solutions.

Consul consists of a single, small binary (the Linux binary is 24MB). You just download it, edit the configuration file and start the program. It doesn’t …

Just as you use a database like MySQL to store your application data, MySQL must also store its meta data (schema names, table definitions etc) somewhere. Traditionally this meta data storage has been split between many different locations (.FRM, .PAR, .OPT, .TRN and .TRG files).…