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Search Results for: queries overload sql server

10+ Ways to Crash or Overload MySQL

People are sometimes contacting me and asking about bugs like this which provide a trivial way to crash MySQL to the user with basic privileges and asking me what to do. My answer to them …

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Managing Slave Lag with MySQL Replication

The question I often get is how far MySQL may fall behind and how to keep replication from lagging. The lag you will see will vary a lot from application to the application and from …

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Wishes for new “Pure PHP” MySQL driver

If you’re following MySQL or PHP landscape you should have seen announcement by MySQL to develop pure PHP driver. If not – Here is FAQ . I’m to meet the team (Georg, Andrey etc) which …

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MySQL Prepared Statements

If you care about archiving best performance in your application using MySQL you should learn about prepared statements. These do not neccesary provide performance beneft but they may, they also have other benefits. As a …

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Thoughts on MySQL Replication

Brian Aker recently published good write up about using MySQL replication. The piece I find missing however is good description of warning about limits of this approach as well as things you need to watch …

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Introducing email reports for Percona Cloud Tools!

For those PCT users who forget to regularly check query performance, you can now get server query reports delivered to your email daily or weekly. The report contains a digest of the most critical performance …

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ScaleArc: Benchmarking with sysbench

ScaleArc recently hired Percona to perform various tests on its database traffic management product. This post is the outcome of the benchmarks carried out by Uday Sawant (ScaleArc) and myself. You can also download the …

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The Math of Automated Failover

There are number of people recently blogging about MySQL automated failover, based on production incident which GitHub disclosed. Here is my take on it. When we look at systems providing high availability we can identify …

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Cache Miss Storm

I worked on the problem recently which showed itself as rather low MySQL load (probably 5% CPU usage and close to zero IO) would spike to have hundreds instances of threads running at the same …

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What do we optimize with mk-query-digest ?

When we’re looking at mk-query-digest report we typically look at the Queries causing the most impact (sum of the query execution times) as well as queries having some longest samples. Why are we looking at …

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