PodcastsLearning

This week, we discuss DB Hangops with special guest, Geoffrey Anderson. Ear Candy is that GTIDs in MariaDB and MySQL are different, and At the Movies is Jonathan Levin talking about deduplicating your data with MySQL.

DB Hangops
DB Hangops - blog and videos of previous hangouts
YouTube DB Hangops channel
DB Hangops twitter account

PodcastsConferences

This week we talk with former co-host Sarah Novotny about Data at OSCon. Ear Candy is about SQL Courses, and At the Movies is a two and a half hour tutorial about MySQL Scaling Strategies for Developers.

Events
DB Hangops - every other Wednesay at noon Pacific time

Upcoming MySQL events

PodcastsGeneralLearning

This week we discuss pt-table-checksum for keeping data in sync. Ear Candy is a rational look at why one company chose MySQL; At the Movies is using MySQL in a practical way for Big Data.

pt-table-checksum
pt-table-checksum
pt-table-sync

PodcastsGeneralLearningPerformance

This week we discuss more Percona tools: pt-online-schema-change and pt-slave-find. Ear Candy is using the CONNECT storage engine to read GPX files, and At the Movies is Performance at Scale with TokuDB.

Events
DB Hangops - every other Wednesay at noon Pacific time

Upcoming MySQL events

OSCon 2014 at the Oregon …

Welcome to another blog post from the MySQL for Excel Team. Today we're going to talk about a new feature included since 1.3.0, remember you can always install the latest GA or maintenance version using the MySQL Installer also you can download directly any GA or non-GA version from the MySQL Developer Zone.

In this post we will learn how to add summary fields to our data imports to excel easily.

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• MySQL on Windows (this) Blog:  …

[…] MySQL: An Introduction for Oracle DBAs. […]

TL;DR: Priority queue optimization for filesort with small LIMIT is now visible in MariaDB: there is a status variable and you can also see it in the slow query log (KB page link).

A longer variant:
One of the new optimizations in MySQL 5.6 is ability to use a priority queue instead of sorting for ORDER BY … LIMIT queries. The optimization was ported into MariaDB 10.0 long ago, but we still get questions if/when it will be ported. I guess, the reason for this is that, besides the query speed, you can’t see this optimization. Neither EXPLAIN, nor EXPLAIN FORMAT=JSON or PERFORMANCE_SCHEMA or status variables give any indication whether filesort used priority queue or the regular quicksort+merge algorithm.

MySQL 5.6 has only one way one can …

This post appeared first on mysqlserverteam.com

In MySQL, query optimization of single-table UPDATE/DELETE statements is more limited than for SELECT statements. I guess the main reason for this is to limit the optimizer overhead for very simple statements. However, this also means that optimization opportunities are sometimes missed for more complex UPDATE/DELETE statements. ExampleUsing the DBT-3 database, the following SQL statement will increase prices by 10% on parts from suppliers in the specified country:

UPDATE part
SET p_retailprice = p_retailprice*1.10
WHERE p_partkey IN
     (SELECT ps_partkey
      FROM partsupp JOIN supplier
      ON ps_suppkey = s_suppkey
      WHERE s_nationkey = 4);

…

I had the pleasure of presenting to the PHP Users Group Philippines a few days ago about mysqlnd_ms. The mysqlnd plugin, MySQL Master Slave, is a transparent layer on top of mysqlnd extension. This allows you to do read-write splitting and slave reads load balancing without needing to change anything from your application. But do you know you can also achieve a form of high availability with this plugin? I shared 2 forms on my presentation, using async MySQL replication either in master-slave configuration or master-master configuration, while the second form is having an all primary cluster where you can write to all nodes.

This first part is to demonstrate how you can achieve a simple HA solution using the first form. First, all the sample code here can be found on my GitHub repository. So, to use the mysqlnd_ms plugin, it uses …

InfiniDB High Performance Analytic Query Engine for MySQL and SQL-on-Hadoop Powers Faster Data Access and Insights with Tableau Software