We raised topic of problems with flushing in InnoDB several times, some links: InnoDB Flushing theory and solutions MySQL 5.5.8 in search of stability This was not often recurring problem so far, however in my recent experiments, I observe it in very simple sysbench workload on hardware which can be considered as typical nowadays.
Product to try: MySQL/MariaDB-Galera 0.8
June 13, 2011 By 34 Comments
I wrote about Galera about 1.5 years ago: State of the art: Galera – synchronous replication for InnoDB. It was about the 0.7 release, which was more like a proof-of-concept release (though Galera’s developers may not agree with that ) with some serious limitations (like using mysqldump for node propagation). The Galera team heard my [...]
Distributed set processing performance analysis with ICE 3.5.2pl1 at 20 nodes.
May 14, 2011 By Leave a Comment
Demonstrating distributed set processing performance Shard-Query + ICE scales very well up to at least 20 nodes This post is a detailed performance analysis of what I’ve coined “distributed set processing”. Please also read this post’s “sister post” which describes the distributed set processing technique. Also, remember that Percona can help you get up and [...]
Distributed Set Processing with Shard-Query
May 14, 2011 By 27 Comments
Can Shard-Query scale to 20 nodes? Peter asked this question in comments to to my previous Shard-Query benchmark. Actually he asked if it could scale to 50, but testing 20 was all I could due to to EC2 and time limits. I think the results at 20 nodes are very useful to understand the performance: [...]
Shard-Query turbo charges Infobright community edition (ICE)
May 6, 2011 By 23 Comments
Shard-Query is an open source tool kit which helps improve the performance of queries against a MySQL database by distributing the work over multiple machines and/or multiple cores. This is similar to the divide and conquer approach that Hive takes in combination with Hadoop. Shard-Query applies a clever approach to parallelism which allows it to [...]
The two even more fundamental performance metrics
May 5, 2011 By 6 Comments
In a recent blog post, I wrote about four fundamental metrics for system performance analysis. These are throughput, residence time, “weighted time” (the sum of all residence times in the observation period — the terminology is mine for lack of a better name), and concurrency. I derived all of these metrics from two “even more [...]
The four fundamental performance metrics
April 27, 2011 By 15 Comments
There are many ways to slice and aggregate metrics of activity on a system such as MySQL. In the best case, we want to know everything about the system’s activity: we want to know how many things happened, how big they were, and how long they took. We want to know precisely when they happened. [...]
MySQL Connection Timeouts
April 19, 2011 By 4 Comments
Sometimes on very busy MySQL server you will see sporadic connection timeouts, such as Can’t connect to MySQL server on ‘mydb’ (110). If you have connects timed in your application you will see some successful connections taking well over the second. The problem may start very slow and be almost invisible for long time, for [...]
Performance or Stability ???
April 1, 2011 By 16 Comments
Sometimes the question is put like are you looking for Performance OR Stability, which I believe is a strange way to put it. In real life systems you care both about Performance AND Stability. I would even say Stability is a not the best world here, I would day you care about your minimal performance [...]
InnoDB Flushing: a lot of memory and slow disk
March 31, 2011 By 57 Comments
You may have seen in the last couple of weekly news posts that Baron mentioned we are working on a new adaptive flushing algorithm in InnoDB. In fact, we already have three such algorithms in Percona Server (reflex, estimate, keep_average). Why do we need one more? Okay, first let me start by showing the current [...]
