If the performance of your MySQL servers is important to you, performance tuning is key.

In the 4-day MySQL Performance Tuning course, you learn to analyze and optimize the performance of the MySQL Database, using the tools necessary for monitoring, evaluating and tuning.

You can take this course as a:

• Training-on-Demand event: Start training within 24 hours of registration and take this training at your own pace.
• Live-Virtual event: Attend a live event from your own desk - no travel required. You can choose from a selection of events already on the schedule.
• In-Class event: Travel to an education center to take this training. Below is a selection of the events already on the schedule. …

This week we discuss test data sets. Ear Candy is errata from Episode 165 on Galera Cluster, and At the Movies is "Runaway Complexity in Big Data"

Test Data Sets
Episode 81, where we talked about different benchmark tools
Sysbench - general version
Percona's sysbench tests

Factors: # tables, concurrency, data set size

Episode 143, where we did an ear candy featuring Morgan Tocker's article on estimating MySQL's working set with INFORMATION_SCHEMA

…

As you probably already know, in MySQL 5.7.3 release, InnoDB Memcached reached a record of over 1 million QPS on read only workload. The overview of the benchmark and testing results can be seen in an earlier blog by Dimitri. In this blog, I will spend sometime on the detail changes we have made to achieve this record number.

First thanks to Facebook’s Yoshinori with his bug#70172 that brought our attention to this single commit read only load test. We have been focussing on operation with large batch size. This bug prompted us to do a series of optimization on single commit read only queries and these optimizations eliminated almost all major bottlenecks from the InnoDB Memcached plugin itself.

If you are just …

This week we discuss fine-tuning Galera Cluster. In this week's ear candy we talk about recent changes to mysqldump and locking; At the Movies presents "Using Amazon Web Services for MySQL at Scale".

Events
DB Hangops - every other Wednesay at noon Pacific time
FOSDEM 2014 - Sat February 1 - Sun February 2 in Brussels, Belgium.
Upcoming MySQL events

Training
SkySQL Trainings

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In some application scenarios (e.g. PHP applications) client connections have very short durations, maybe only executing a single query. This means that the time spent processing connects and disconnects can have a large impact on the overall performance.

In MySQL 5.6 we started working on optimizing the code handling connects and disconnects. And this work has accelerated in MySQL 5.7. In this blog post I will first show the results we have achieved and then describe what we have done to get them.

The results

The graph below shows a comparison of the most recent 5.5 and 5.6 releases as well as the 5.7.2 and 5.7.3 milestones. We measured the number of queries per second (QPS) where each client executes a single query (point select) before disconnecting. For each server version we also tested with both Performance Schema disabled and enabled. Details about server hardware and configuration settings used, …

This week we talk about how to install and set up Galera Cluster. Ear Candy talks about the new MySQL repos from Oracle and what to know about using them; At the Movies is Michael Stonebreaker talking about how to process today's big data transactional processing needs.

Galera Cluster
Codership documentation of Galera Cluster
Installing Percona XtraDB Cluster on Ubuntu documentation
MariaDB's Galera Cluster documentation

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I took a quick look at MariaDB 10.0 single-treaded performance (simple read-only sysbench). One thing immediately leaps to the eye, and I thought it worthy of mention. It contains an important lesson about the use of synchronisation primitives and in particular "atomic operations" in MariaDB (and MySQL).

I am using the Linux perf tool on this sysbench command:

  sysbench --num-threads=1 --test=oltp --oltp-test-mode=simple --oltp-read-only --oltp-skip-trx

Look at the top offender in the output from perf report:

  1,54%  mysqld  mysqld               [.] set_thread_state_v1

The only thing this does is set a string for SHOW PROCESSLIST (and the like) about what the thread is doing. And we are spending a whopping 1.5% of the total time doing this.

And why? That becomes clear when looking at the disassembly …

Or I could place in the title – “Yes, we done it!”

After reaching 500K QPS in Read-Only on SQL queries, it was natural to expect a much higher performance level from InnoDB Memcached Plugin which is by-passing all SQL related layers.. However the story is not simple, and yet far from finished

While for today we have already our first “preview” results showing that we’re able to reach over 1,000,000 Query/sec level with the latest MySQL 5.7 code:

click here to read the full article..

If you are responsible for a MySQL Database, you make choices based on your priorities; cost, security and performance.

To learn more about improving performance, take the MySQL Performance Tuning course. 

In this 4-day instructor-led course you will learn practical, safe and highly efficient ways to optimize performance for the MySQL Server. It will help you develop the skills needed to use tools for monitoring, evaluating and tuning MySQL.

You can take this course via the following delivery methods:Training-on-Demand:

• Take this course at your own pace, starting training within 24 hours of registration.
• Live-Virtual Event: Follow a live-event from your own desk; no travel required. You can choose from a …

ScienceLogic has a pretty fantastic network monitoring appliance.  So good in fact that InfoWorld gave it their "2013 Best Network Monitoring System on the Planet" award.  Inside their "ultraflexible, ultrascalable, carrier-grade" enterprise appliance, ScienceLogic relies on MySQL and has since their start in 2003.  Check out some of the things they've been able to do with MySQL and their reasons for continuing to use MySQL in these highlights from our new MySQL ScienceLogic case study.

• Science Logic's larger customers use their appliance to monitor and manage  20,000+ devices, each of which generates a steady stream of data and a workload that is 85% write. On …