Search Results for: read performance

Optimizing MySQL Performance: Choosing the Right Tool for the Job

Next Wednesday, I will present a webinar about MySQL performance profiling tools that every MySQL DBA should know. Application performance is a key aspect of ensuring a good experience for your end users. But finding and fixing performance bottlenecks is difficult in the complex systems that define today’s web applications. Having a method and knowing how […]

New mydumper 0.6.1 release offers performance and usability features

One of the tasks within Percona Remote DBA is to ensure we have reliable backups with minimal impact. To accomplish this, one of the tools our team uses is called mydumper. We use mydumper for logical backups because of several nice features. Some of them are: multithreaded, producing very fast backups compared to mysqldump almost […]

Percona XtraDB Cluster performance monitoring and troubleshooting

First of all we would like to thank all of you who attended the Feb. 19 MySQL webinar, “Performance Monitoring and Troubleshooting of Percona XtraDB Cluster.” We got some really good questions – many of which we didn’t have time to address during the sessions, so Johan Andersson, Severalnines CTO,and I are answering them here […]

Percona XtraDB Cluster performance monitoring and troubleshooting: Webinar

Next Wednesday, Severalnines CTO Johan Andersson and I will co-present a webinar about ClusterControl, a cluster management tool created by Severalnines that can monitor Percona XtraDB Cluster. It provides DBAs with the right metrics to manage and optimize applications during development and production. In the webinar, titled “Performance Monitoring and Troubleshooting of Percona XtraDB Cluster,” we […]

PERFORMANCE_SCHEMA vs Slow Query Log

A couple of weeks ago, shortly after Vadim wrote about Percona Cloud Tools and using Slow Query Log to capture the data, Mark Leith asked why don’t we just use Performance Schema instead? This is an interesting question and I think it deserves its own blog post to talk about. First, I would say main […]

Analyze MySQL Query Performance with Percona Cloud Tools: Feb. 12 webinar

Next week (Wednesday, February 12 at 10 a.m. Pacific) I will host a webinar titled “Analyze MySQL Query Performance with Percona Cloud Tools.” Percona Cloud Tools, currently in beta, reveals new insights about MySQL performance enabling you to improve your database queries and applications. (You can request access to the free beta here). For webinar […]

Percona Server: Thread Pool Improvements for Transactional Workloads

In a previous thread pool post, I mentioned that in Percona Server we used an open source implementation of MariaDB’s thread pool, and enhanced/improved it further. Below I would like to describe some of these improvements for transactional workloads. When we were evaluating MariaDB’s thread pool implementation, we observed that it improves scalability for AUTOCOMMIT […]

MySQL performance optimization: Don’t guess! Measure with Percona Cloud Tools

In our practice we often see that MySQL performance optimization is done in a sort of “black magic” way. A common opinion is: “If there is a performance problem – then it must be a database issue, because what else could it be? And if this is a database issue, then it must involve IO […]

Percona Server: Improve Scalability with Percona Thread Pool

By default, for every client connection the MySQL server spawns a separate thread which will process all statements for this connection. This is the ‘one-thread-per-connection’ model. It’s simple and efficient until some number of connections N is reached. After this point performance of the MySQL server will degrade, mostly due to various contentions caused by […]

Increasing slow query performance with the parallel query execution

MySQL and Scaling-up (using more powerful hardware) was always a hot topic. Originally MySQL did not scale well with multiple CPUs; there were times when InnoDB performed poorer with more  CPU cores than with less CPU cores. MySQL 5.6 can scale significantly better; however there is still 1 big limitation: 1 SQL query will eventually use only […]