Last week, I was pleased to present at Percona Live Amsterdam 2015 regarding the importance of Performance Schema and how to begin approaching visualizing the data that is available to diagnose performance issues and fine tune your MySQL environment. You can download the slides from the Percona Live conference page.

The session highlighted using the ELK (Elasticsearch+Logstash+Kibana) stack to assist visualizing event data, in addition to graphite+graphana to visualize time-series data.

As many people who attend conferences are aware, the availability of internet access is sketchy at best. To combat this, the visualization stack that I created was strictly local utilizing Docker, specifically the Docker Toolbox.

The docker-compose.yml …

BT’s retail arm Expedite uses ClusterControl platform to scale MySQL and achieve agility on BT Cloud
 
Stockholm, Sweden and anywhere else in the world - 30 September 2015 - Severalnines, the provider of database automation and management software, today announced its latest customer, BT Expedite, BT’s specialist retail arm hosting its customers’ eCommerce applications and omni-channel marketing operations.

Expedite helps 100 leading retailers in 170 countries worldwide, including some of the largest UK retail chains such as Primark, WHSmith, Warehouse and Jigsaw deliver effective customer service online by offering end-to-end IT managed services. As customers are going online first to search, select and purchase goods, the modern day retail store needs an IT system which can manage …

Well the new things are cool to test and learn. But it is not possible every time, to have smooth testing process. if you can’t get right software on your hand.

So there are great articles about this new plugin here you can follow all of them: Group Replication Topics

I must say that, plugin available for download as source code and as for Oracle Linux 6 x86_64 from -> labs.mysql.com

So if you want to try it with MySQL 5.7.8-rc2 on Ubuntu you should compile it with MySQL. But you will not be able to compile due to well known ‘boost’ dependency -> see BUG #78600

UPDATE to BUG 78600:

Pedro Gomes clarified the reason of …

Indexes are separate data structures that provide alternate pathways to finding data. They can and do generally speed up the processing of queries and other DML commands, like the INSERT, UPDATE, REPLACE INTO, and DELETE statements. Indexes are also called fast access paths.

In the scope of the InnoDB Database Engine, the MySQL database maintains the integrity of indexes after you create them. The upside of indexes is that they can improve SQL statement performance. The downside is that they impose overhead on every INSERT, UPDATE, REPLACE INTO, and DELETE statement, because the database maintains them by inserting, updating, or deleting items for each related change in the tables that the indexes support.

Indexes have two key properties—usability and visibility. Indexes are both usable and visible by default. That means they …

On Percona Live! Amsterdam 2015 we had a talk with Peter Boros about GTID replication.

Here are the slides.

Running gtid replication in production from Balazs Pocze

Well, it was ended a week ago, but I had too many errands to run, so I couldn’t post anything about it.

It was really great, again.This was the third time I attended (2013 London, 2015 Santa Clara) so now I have met with a lot of familiar people – it is true that MySQL has a great community. The chosen city was great, Amsterdam is one of the coolest places of Europe, the hotel was neat, and the programs were also astounding.

The conference sessions were great too, I really enjoyed, them all, and because they are running on 8 thread parallel it is not that bad that there are some recurring sessions; if you missed one in spring you can watch it on autumn.

So, everything was comfy and neat. I hope I’ll attend on the next one too …

There were a few topics where I plan to dig deeper in the next weeks

• ProxySQL because HAProxy is a good choice, but it is only speaks TCP and HTTP but not …

Hi!

I'm speaking at Oracle Open World this October 29th (Thursday). My Session is a hands-on lab session: HOL3348 on MySQL Cluster.

If you are interested in familiarize a bit with MySQL Cluster this is definitely a session for you.

I will start by briefly introducing MySQL Cluster and its Architecture.

Then I will guide you through the needed steps to:

• Install a local MySQL Cluster
• Start MySQL Cluster
• Connect to MySQL Cluster (using the command line)
• Ways to monitor MySQL Cluster
• Safe shutdown of MySQL Cluster

We will have a chance to see which are the most common commands and operations used in MySQL Cluster Administration.

If there is …

For learning, testing and keep up with things, one might want to install/update the MySQL version to the latest DMR (Development Milestone Release). At the time of this writing the latest DMR for MySQL is  MySQL Community Server 5.7.8-rc. Having chosen Ubuntu server as my operating system and since this is a development version hence not yet part of an official Ubuntu release, you have to install

With Galera (Percona Cluster or MariaDB Cluster), it is sometimes advisable to not route traffic to a node during a backup due to the node already being under a heavier load.  In these situations, it may be wise to not route traffic there until the backup is complete.

Since the default /usr/bin/clustercheck script did not have the option of doing this, we created a modified version.  The below script looks for the presence of the xtrabackup tool running in the process list.  If it is found, the clustercheck script returns the appropriate exit code (502) which signals the load balancer to not route traffic its way.  The script could easily be modified to look for the presence of programs/tools in the process list.

We hope others will find it useful.

#!/bin/bash
# clustercheck.sh
#
# Script to make a proxy (ie HAProxy) capable of monitoring Percona XtraDB Cluster nodes properly
#
# Modified by Itchy …

When it is not possible to eliminate an SQL statement to improve performance, it might be possible to simplify the statement. Consider the following questions:

• Are all columns required?
• Can a table join be removed?
• Is a join or WHERE restriction necessary for additional SQL statements in a given function?

Column Improvement

An important requirement of simplification is to capture all SQL statements in order for a given executed function. Using a sampling process will not identify all possible improvements. Here is an example of a query simplification:

mysql> SELECT fid, val, val
    -> FROM table1
    -> WHERE fid = X;

This query returned 350,000 rows of data that was cached by the application server during system startup. For this query, …