Since the first release you were allowed to open a session to directly edit data from a table at Excel on a worksheet and see those changes reflected immediately on the database. You were also capable of opening multiple sessions to different tables at the same time (when they belong to the same schema). The problem was that if for any reason you were forced to close Excel or the Workbook, you had no way to reopen those sessions and continue where you left off.

Today we are going to talk about another feature included since MySQL for Excel 1.2.0 which allows you  to save and restore edit sessions. Remember this product and many others can be downloaded directly from our MySQL Installer downloads page and installed for free.

This guide will help you in compiling and debugging MariaDB (MySQL, Percona) within the Eclipse IDE on Linux and using cmake for source project preparation. It will be split in parts to keep each post lightweight and with a finite objective. At the end of reading this series of blog posts you should be able to:

1. Prepare for compilation any MariaDB (MySQL, Percona) source release based on cmake framework.

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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.

Example

Using 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);

Visual EXPLAIN in MySQL Workbench shows that the optimizer will choose the following …

Recently, I’ve had reason to poke at MySQL performance on some pretty cool hardware. Comparing MySQL 5.6 to MySQL 5.7 is a pretty interesting thing to do when you have many CPU cores.

The improvements to creating read views in InnoDB is absolutely huge for small statements with large concurrency – MySQL 5.7 completely removes this as a bottleneck – as much as doubling maximum SQL queries per second, which is a pretty impressive improvement.

I haven’t poked at the similar improvements in Percona Server on this hardware setup – so I can only really guess as to the performance characteristics of it… If comparing to older MySQL versions, Percona Server 5.5 is likely to outperform MySQL 5.5 thanks to this optimization.

But I have to say… MySQL 5.7 is impressive …

Installing Apache2 With PHP5 And MySQL Support On Ubuntu 14.04LTS (LAMP)

LAMP is short for Linux, Apache, MySQL, PHP. This tutorial shows how you can install an Apache2 webserver on anUbuntu 13.04 server with PHP5 support (mod_php) and MySQL support.

Very welcome to the MySQL High Availability blog. In the last year we have increased the effort on developing high availability solutions for MySQL and there is many new things upcoming. We will report about such things on this blog, including new development of MySQL Replication, MySQL Fabric, and other parts of the MySQL software. Enjoy!

Today while browsing through my emails I was very happy to read this email from Sergei Golubchik :

Hi! I'm happy to announce that MariaDB-10.1 tree has been completely migrated to github. Since now on we'll use github for the new development in MariaDB. It's https://github.com/MariaDB/server, go on, fork it, hack around, submit pull requests. [...]

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In my previous post, I blogged about using Percona Server with Docker and have shown you how fast and easy it was to create a virtual environment with just a few commands.

This time I will be showing you how to setup a three-node Percona XtraDB Cluster (PXC) 5.6 on the Docker open-source engine. Just to review Docker… “is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.”

In this case we will make use of a Dockerfile, think of this more like the Vagrantfile, it is a build script with a set of commands automating the creation of a new docker container.

For this case, we will use the …

There’s a pattern I keep seeing in threaded programs (or indeed multiple processes) writing to a common log file. This is more of an antipattern than a pattern, and is often found in code that has existed for years.

Basically, it’s having a mutex to control concurrent writing to the log file. This is something you completely do not need.

The write system call takes care of it all for you. All you have to do is construct a buffer with your log entry in it (in C, malloc a char[] or have one per thread, in C++ std::string may do), open the log file with O_APPEND and then make a single write() syscall with the log entry.

This works for just about all situations you care about. If doing multi megabyte writes (a single log entry with multiple megabytes? ouch) then you may get into trouble on some systems and get partial writes (IIRC it may have been MacOS X and 8MB) and O_APPEND isn’t …