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Displaying posts with tag: MySQL (reset)
FOSDEM talks

I will be heading to Brussels on Friday for FOSDEM.

On Friday, February 3rd, I will attend the Pre-FOSDEM MySQL Day where I will give two talks:

How Booking.com avoids and deals with replication lag (at 12:05), Monitoring Booking.com without looking at MySQL (at 15:30).

(A summary of those talks can be found in Le Fred's blog.)

Then, on Saturday, February 4th, I have a talk in the MySQL

MySQL Reporting using AutoSQL Tool

Three ways to schedule a MySQL query

If you walk through any office you see people working in Excel. With MySQL for Excel (https://www.mysql.com/why-mysql/windows/excel/) you can already let them pull information from Excel themselves. However, in some cases it saves a lot of time if they don’t have to pull the information, but it’s pushed automatically.
Exception lists are the best examples of queries you want to push to users. If you have a query with occasional results, you don’t want to check for this every day. In this case you just want to receive a mail if there are any results. Eg a list of stuck invoices which can’t be processed automatically.
How can we do this?

1. Using the MySQL Event Scheduler

The MySQL Event scheduler can be used to run a query on a predefined schedule and output the results in CSV format. …

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MySQL Procedure Analyse Use

Sometimes we are not sure if the database design we have created and our site has been using is correct and optimised. We all do have this feeling at times don't we :)


Well, MySQL provides with PROCEDURE ANALYSE() to help us detect inconsistencies in our database design by suggesting for an optimal datatype and data length for columns.

The syntax for using PROCEDURE ANALYSE() is as below:

SELECT ... FROM ... WHERE ... PROCEDURE
ANALYSE([max_elements,[max_memory]])


Ref: …

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MySQL Sharding Models for SaaS Applications

In this blog post, I’ll discuss MySQL sharding models, and how they apply to SaaS application environments.

MySQL is one of the most popular database technologies used to build many modern SaaS applications, ranging from simple productivity tools to business-critical applications for the financial and healthcare industries.

Pretty much any large scale SaaS application powered by MySQL uses sharding to scale. In this blog post, we will discuss sharding choices as they apply to these kinds of applications.

In MySQL, unlike in some more modern technologies such as MongoDB, there is no standard sharding implementation that the vast majority of applications …

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MariaDB ColumnStore

Last month, MariaDB officially released MariaDB ColumnStore, their column store engine for MySQL. This post discusses what it is (and isn’t), why it matters and how you can approach a test of it.

What is ColumnStore?

ColumnStore is a storage engine that turns traditional MySQL storage concepts on their head. Instead of storing the data by row, a column store stores the data by column (obviously). This provides advantages for certain types of data, and certain types of queries run against that data. See my previous post for more details on column-based storage systems.

ColumnStore is a fork of InfiniDB and carries forward many of the concepts behind that product. InfiniDB ceased operations in 2014. With the front end managed through MariaDB, you get access to …

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Three Things That Differentiate Amazon Aurora From MySQL

It's not always obvious what makes one database type distinct from another. What are the most significant ways that Amazon Aurora is different from MySQL? Clear separators aren't always featured or widely known, but even slight variables between two databases can prove valuable in choosing which one is right for you and your organization.

In the case of Aurora, there are at least three interesting things that make it unique and that present opportunities for particular uses. (Thanks in advance to @saileshkrish for helping us stay in-the-know on what Aurora can do.)

Adaptive Thread Pool

wow pic.twitter.com/KeVY5VBEMS

— Preetam (@PreetamJinka) December 21, 2016

Aurora's thread pool …

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When MySQL Lies: Wrong seconds_behind_master with slave_parallel_workers > 0

In today’s blog, I will show an issue with seconds_behind_master that one of our clients faced when running slave_parallel_works > 0. We found out that the reported seconds_behind_master from SHOW SLAVE STATUS was lying. To be more specific, I’m talking about bugs #84415 and #1654091.

The Issue

MySQL will not report the correct slave lag if you have slave_parallel_workers> 0. Let’s show it in practice.

I’ll use MySQL Sandbox to speed up one master and two slaves on MySQL version …

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Percona Live Featured Tutorial with Frédéric Descamps — MySQL InnoDB Cluster & Group Replication in a Nutshell: Hands-On Tutorial

Welcome to another post in the series of Percona Live featured tutorial speakers blogs! In these blogs, we’ll highlight some of the tutorial speakers that will be at this year’s Percona Live conference. We’ll also discuss how these tutorials can help you improve your database environment. Make sure to read to the end to get a special Percona Live 2017 registration bonus!

In this Percona Live featured tutorial, we’ll meet Frédéric Descamps, MySQL Community Manager at Oracle. Frédéric is probably better known in the community as “LeFred” (Twitter: @lefred)! His tutorial is …

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Performance Schema Benchmarks: OLTP RW

In this blog post, we’ll look at Performance Schema benchmarks for OLTP Read/Write workloads.

I am in love with Performance Schema and talk a lot about it. Performance Schema is a revolutionary MySQL troubleshooting instrument, but earlier versions had performance issues. Many of these issues are fixed now, and the default options work quickly and …

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Webinar Thursday January 26, 2017: Overcoming the Challenges of Databases in the Cloud

Please join Percona’s Jon Tobin, Director of Solution Engineering at Percona, and Rob Masson, Solutions Architect Manager at ScaleArc, on Thursday, January 26, 2017, at 9:00 am PST / 12:00 pm EST (UTC-8) for their webinar “Overcoming the Challenges of Databases in the Cloud.”

Enterprises enjoy the flexibility and simplified operations of using the cloud, but applying those advantages to database workloads has proven challenging. Resource contention, cross-region failover and elasticity at the data tier all introduce limitations. In addition, cloud providers support different services within their database offerings.

Jon and Rob’s webinar is a …

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