Search Results for: having

Is there benefit from having more memory ?

My post back in April, http://www.percona.com/blog/2010/04/08/fast-ssd-or-more-memory/, caused quite interest, especially on topic SSD vs Memory. That time I used fairy small dataset, so it caused more questions, like, should we have more then 128GB of memory? If we use fast solid state drive, should we still be looking to increase memory, or that configuration provides […]

Percona University: Back to school Feb. 12 in Raleigh, N.C.

About two years ago we held our first-ever Percona University event in Raleigh, N.C. It was a great success with high attendance and very positive feedback which led us to organize a number of similar educational events in different locations around the world. And next month we’ll be back where it all started. On February […]

Looking deeper into InnoDB’s problem with many row versions

A few days ago I wrote about MySQL performance implications of InnoDB isolation modes and I touched briefly upon the bizarre performance regression I found with InnoDB handling a large amount of versions for a single row. Today I wanted to look a bit deeper into the problem, which I also filed as a bug. First […]

Managing data using open source technologies? Learn what’s hot in 2015!

Whether you’re looking at the overall MySQL ecosystem or the all-data management landscape, the choice of technologies has never been larger than it is in 2015. Having so many options is great but it also can be very hard to make a selection. I’m going to help narrow the list next week during a Webinar […]

Django with time zone support and MySQL

This is yet another story of Django web-framework with time zone support and pain dealing with python datetimes and MySQL on the backend. In other words, offset-naive vs offset-aware datetimes. Shortly, more about the problem. After reading the official documentation about the time zones, it makes clear that in order to reflect python datetime in […]

The MySQL Query Cache: How it works, plus workload impacts (good and bad)

Query caching is one of the prominent features in MySQL and a vital part of query optimization. It is important to know how it works as it has the potential to cause significant performance improvements – or a slowdown – of your workload. The MySQL query cache is a global one shared among the sessions. It caches […]

How small changes impact complex systems – MySQL example

If you’ve been studying complex systems you know what minor changes might cause consequences of much greater proportions, sometimes causing some effects that are not easily explained at first. I recently ran across a great illustration of such behavior while doing MySQL benchmarks which I thought would be interesting to share. I’m using a very […]

InnoDB crash recovery speed in MySQL 5.6

It has been a while since I have looked at InnoDB crash recovery. A lot has change in the last few years – we have serious crash recovery performance improvements in MySQL 5.5 and MySQL 5.6, we have solid state drives raising as typical high performance IO subsystem and we also have the ability to […]