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Search Results for: computing

Using Flexviews – part one, introduction to materialized views

If you know me, then you probably have heard of Flexviews. If not, then it might not be familiar to you. I’m giving a talk on it at the MySQL 2011 CE, and I figured …

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Modeling MySQL Capacity by Measuring Resource Consumptions

There are many angles you can look at the system to predict in performance, the model baron has published for example is good for measuring scalability of the system as concurrency growths. In many cases …

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Death match! EBS versus SSD price, performance, and QoS

Is it a good idea to deploy your database into the cloud? It depends. I have seen it work well many times, and cause trouble at other times. In this blog post I want to …

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Percona Server 5.5.8 Beta Release

It’s finally here! Percona Server Percona Server 5.5.8-20.0 is now available for download. This is a beta release of Percona’s enhancements to the MySQL 5.5.8 server. Here are some highlights: Performance and scalability improvements throughout …

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Percona Server Fast-Restart White Paper Posted

I’ve posted a new white paper about the implementation and benefits of Percona Server’s fast-restart capabilities. Briefly, after shutting down and restarting or rebooting the server, it can be back to full performance in a …

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Impact of the number of idle connections in MySQL

Be careful with my findings, I appear to have compile in debug mode, I am redoing the benchmarks. Updated version here. I recently had to work with many customers having large number of connections opened …

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Scenarios where TokuDB’s Loader is Used

TokuDB’s loader uses the available multicore computing resources of the machine to presort and insert the data. In the last couple of posts (here and here), Rich and Dave presented performance results of TokuDB’s loader. …

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TokuDB speeds up “replace” and “insert ignore” operations by relaxing the affected rows constraint

In posts on June 30 and July 6, we explained how implementing the commands “replace into” and “insert ignore” with TokuDB’s fractal trees data structures can be two orders of magnitude faster than implementing them …

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Color code your performance numbers

When analyzing how good or bad response time is it is not handy to look at the averages, min or max times – something what is easily computed using built in aggregate functions. We most …

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A workaround for the performance problems of TEMPTABLE views

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. …

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