I wrote about Intel 320 SSD write performance before, but I was not satisfied with these results. Somewhat each time on Intel 320 SSD I was getting different write performance, so it made me looking into this with details.
There have been recent discussions about DROP TABLE performance in InnoDB. (You can refer to Peter’s post http://www.mysqlperformanceblog.com/2011/02/03/performance-problem-with-innodb-and-drop-table/ and these bug reports: http://bugs.mysql.com/bug.php?id=51325 and http://bugs.mysql.com/bug.php?id=56332.) It may not sound that serious, but if your workload often uses DROP TABLE and you have a big buffer pool, it may be a significant issue. This can get […]
(This is a cross post from percona.tv – the home of percona material in video form.) Last month I gave a presentation at the PHP UK Conference on the InnoDB storage engine.Â I was a last minute speaker, and I want to thank them for the time-slot and their hospitality at short notice.
Amazon’s Relational Database Service (RDS) is a cloud-hosted MySQL solution. I’ve had some clients hitting performance limitations on standard EC2 servers with EBS volumes (see SSD versus EBS death match), and one of them wanted to evaluate RDS as a replacement. It is built on the same technologies, but the hardware and networking are supposed […]
One schema optimization we often do is extending index when there are queries which can use more key part. Typically this is safe operation, unless index length increases dramatically queries which can use index can also use prefix of the new index are they ? It turns there are special cases when this is not […]
MySQL supports two different algorithms for views: the MERGE algorithm and the TEMPTABLE algorithm. These two algorithms differ greatly. A view which uses the MERGE algorithm can merge filter conditions into the view query itself. This has significant performance advantages over TEMPTABLE views. A view which uses the TEMPTABLE algorithm will have to compute the […]
I’ve been talking and writing a bit lately about the scaling problems I’m seeing on fast servers running lots of queries. As a rough guide, I’m seeing this in servers running 20k queries per second and higher, lots of memory, lots of CPU cores, and most queries are running faster than one millisecond; some in […]
One of the big “Selling Points” of MySQL is support for Multiple Storage engines, and from the glance view it is indeed great to provide users with same top level SQL interface allowing them to store their data many different way. As nice as it sounds the in theory this benefit comes at very significant […]
Dear Community, As of today Release 9 of XtraDB storage engine is available. The release includes following new features: The release is base on 1.0.6 version of InnoDB plugin. MySQL 5.1.42 as a base release Separate purge thread and LRU dump is implemented (this feature was actually added in Release 8, but somehow it was […]
Continuing my look at Tokyo Tyrant/Cabinet and addressing some of the concerns I have seen people have brought up this is post #2. #2.Â As your data grows doesÂ Tokyo Cabinet slow down? Yes your performance can degrade. One obvious performance decrease with a larger datasetÂ is you start to increase the likelihood that your […]