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Displaying posts with tag: latency (reset)

Effective way to check the network connection performance, when using replication geographically distributed
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Why this article

The more I have to interact with customers asking about MySQL/Galera, the most I have to answer over and over to the same question about what kind of network conditions Galera can manage efficiently.

One of the most frequent myths I have to cover at the start of any conversation that involve the network is PING.

Most of the customers use PING to validate the generic network conditions, and as direct consequence they apply that approach also when in need to have information on more complex and heavy use like in the Galera replication.

To have a better understanding why I consider the use of PING, not wrong but inefficient, let us review some basic networking concepts.

 

Frame

At the beginning stay the physical layer, but I am

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Luxbet, MariaDB and Melbourne Cup
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Yesterday was Melbourne Cup day in Australia – the biggest annual horse race event in the country, and in the state of Victoria it’s even a public holiday.

Open Query does work for Luxbet (part of Tabcorp), and Melbourne Cup day is by far their biggest day of the year in terms of traffic. It’s not just a big spike, there’s orders of magnitude difference so you can really say that the rest of the year is downright quiet (in relative terms). So, a very interesting load pattern.

Since last year Luxbet has upgraded from stock MySQL to MariaDB, and with our input made some other infrastructure modifications including moving to a pure solid state storage (FusionIO) solution as a SAN just won’t deliver the resilience and performance required. This

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Detecting Outliers
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In computer performance, we’re especially concerned about latency outliers: very slow database queries, application requests, disk I/O, etc. The term “outlier” is subjective: there is no rigid mathematical definition. From [Grubbs 69]:

An outlying observation, or “outlier,” is one that appears to deviate markedly from other members of the sample in which it occurs.

Outliers are commonly detected by comparing the maximum value in a data set to a custom threshold, such as 50 or 100 ms for disk I/O. This requires the metric to be well understood beforehand, as is usually the case for

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MySQL thread pool and scalability examples
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Nice article about SimCity outage and ways to defend databases: http://www.mysqlperformanceblog.com/2013/03/16/simcity-outages-traffic-control-and-thread-pool-for-mysql/

The graphs showing throughput with and without the thread pool are taken from the benchmark performed by Oracle and taken from here:
http://www.mysql.com/products/enterprise/scalability.html (http://www.mysql.com/products/enterprise/scalability.html)

The main take away is this graph (all rights reserved to Oracle, picture original URL (http://www.mysql.com/common/images/enterprise/MySQL_Threadpool_Benchmark_RW.png" target="_blank)):

Scalability is






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HDlatency – now with quick option
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I’ve done a minor update to the hdlatency tool (get it from Launchpad), it now has a –quick option to have it only do its tests with 16KB blocks rather than a whole range of sizes. This is much quicker, and 16KB is the InnoDB page size so it’s the most relevant for MySQL/MariaDB deployments. However, I didn’t just remove the other stuff, because it can be very helpful in tracking down problems and putting misconceptions to rest. On SANs (and local RAID of course) you have things like block sizes and stripe sizes, and opinions on what might be faster. Interestingly, the real world doesn’t always agree with the opinions. We Mark Callaghan correctly pointed out when I first published it, hdlatency does not provide anything new in terms of functionality, the db IO tests of sysbench cover it all. A key advantage of hdlatency is  [Read more...]
Showing entries 1 to 5

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