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performance

Deadlocks, indexing and Primary Key's

Recently a customer has shown up with some deadlocks occurring frequently. They were of the following type (I have shortened the output a bit):

How to make the MySQL Performance Monitor work on Windows?

A customer recently was asking why our MySQL Performance Monitor (MPM) is not working on Windows...? The answer is short: It was developed on Linux and never tested on Windows...

But I was wondering how much effort it would take to make it work on Windows as well.

I was quite surprised how fast it was to make the basic functionality working on Windows. It took me less than one hour to install, configure and patch MPM.

FromDual Performance Monitor for MySQL (MPM) v0.9 released

On April 2nd 2012 FromDual released the new version v0.9 of its Performance Monitor for MySQL (mpm). The new version can be downloaded from here.

The Performance Monitor for MySQL (mpm) is an agent which is hooked into Zabbix. Zabbix is an integrated Enterprise Monitoring solution which can produce performance graphs and alerting.

The changes in the new release are:

What can MySQL performance monitoring graphs tell you?

Many of you may monitor their databases for different purposes. Beside alerting it is often good to also make some graphs from MySQL performance counters to see what is actually happening on your database.

MaaS Key Request

Request a Service Key for the Performance Monitor for MySQL


To provide you a correct configuration and to grant you access to our system we need some information from you.

Fields marked with an asterisk (*) are required.

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New version of FromDual's Performance Monitor for MySQL (MPM) v0.7.2 is out

On December 2nd 2011 FromDual released the new version v0.7.2 of its Performance Monitor for MySQL. The new version can be downloaded from here.

The Performance Monitor for MySQL is an agent which is hooked into the agent of the well known Monitoring solution called Zabbix. Zabbix is an integrated Enterprise Monitoring solution which can produce performance graphs and alerting.

The changes in the new release are:

MySQL JMeter Webshop Benchmark

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Abstract: In this article we provide a little JMeter WebShop Example Benchmark for MySQL.

For our Advanced MySQL Developer Workshop we have one exercise Benchmarking MySQL with JMeter. For this exercise we are using the FoodMart-2.0 [1] Schema and simulating a simple WebShop Transaction:

How good is MySQL INSERT TRIGGER performance

Abstract: In this article we discuss how big is the performance impact of MySQL TRIGGERs compared to application side logging (with INSERT) into a MySQL table.

MySQL Performance Monitor with DRBD monitoring capabilities

The FromDual Performance Monitor for MySQL has now a new module for monitoring DRBD. Since more an more of our customers want to run MySQL High Availability solutions based on DRBD we have implemented this module.

We gather all information which are reported with the command:

Be careful when using SAN

Be careful when using SAN (Storage Area Networks) or similar shard storage solutions (and any other virtualization, consolidation or cloud solutions).

This week it happened again: A customer called us because he had some troubles with his on-line shop (note the date!). Everybody in his company complained that the databases are answering slowly.

Vorsicht bei der Nutzung von SAN

Vorsicht bei der Nutzung von SAN (Storage Area Networks) oder ähnlichen Shard Storage Lösungen (und allen anderen Virtualisierungs-, Konsolidierungs- oder Cloud-Lösungen).

FromDual releases new version of its MySQL Performance Monitor

FromDual releases its new version v0.5 of its MySQL Performance Monitor working with Zabbix.

What has changed so far in this release:

Impact of indices on MySQL

Taxonomy upgrade extras: 

It is generally well known that indexes help a lot to speed up database queries (especially SELECT but also UPDATE and DELETE). It is less known, that indexes also have some disadvantages.

One of these disadvantages is, that indexes require space in memory and on disk. An other disadvantage of indexes is, that they slow down DML statements like INSERT and DELETE.

We often see at our customers that they do not realized this behavior. Now I found the time to show the impact of (too) many indexes graphically.

MySQL Performance Monitor

FromDual launches its database Performance Monitoring solution for MySQL, Percona Server and MariaDB. This solution provides monitoring capabilities for most MySQL Storage Engines (Aria, InnoDB, MyISAM, NDB, PBXT and XtraDB). Further you can monitor MySQL Master - Slave replication set-ups, UNIX processes (mysqld, ndbd) and MySQL specific information.

More details you can find on the page Performance Monitor for MySQL.

MySQL Performance Monitor

FromDual veröffentlicht seine Datenbank Performance Monitoring Lösung für MySQL, Percona Server und MariaDB. Diese Lösung verfügt über Monitoringmöglichkeiten für die meisten MySQL Storage Engines (Aria, InnoDB, MyISAM, NDB, PBXT und XtraDB). Im Weiteren können MySQL Master - Slave Replikationen, UNIX Prozesse (mysqld, ndbd) und MySQL spezifische Informationen überwacht werden.

Mehr Informationen finden sie auf der Seite Performance Monitor für MySQL.

Performance Monitor for MySQL and MariaDB (fpmmm)

What is the FromDual Performance Monitor for MySQL and MariaDB (fpmmm)?

The FromDual Performance Monitor (fpmmm) for MySQL, Galera Cluster, MariaDB and Percona Server is a monitoring solution based on the enterprise class open source monitor Zabbix.

It provides all the necessary modules to monitor your MySQL/MariaDB performance metrics in detail an let you display them graphically.

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Performance Tuning Key for MySQL

This MySQL Performance Tuning Key should give you a guide how to best tune you MySQL database systematically... It should also work similar for other RDBMS.

Also check our MySQL Performance Monitor

For a database configuration tuning only please look first at our MySQL database health check.

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MySQL Database Health Check

Release v0.28

  • On this page you can check the health of your MySQL/MariaDB database.
  • If you want to find out how the MySQL Health Check works try out the examples.
  • If you are logged in, our CMS remembers your entry for your next visit.
  • If we should send you some advices about the findings please fill in the following form:
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MySQL Active - Active Clustering

It is possible to use an active - active shared-disk cluster in MySQL in some cases. For doing this you have to fulfill the following requirements:

Transaction performance

Transaction performance relates among other things from I/O performance. This means hard disk performance.

Hard disk performance

When you select a hard disk, an important feature to consider is the performance (speed) of the drive. Hard disks come in a wide range of performance capabilities. As is true of many things, one of the best indicators of a drive’s relative performance is its price. An old saying from the automobile-racing industry is appropriate here: "Speed costs money. How fast do you want to go?"

SATA Flash Solid State Disk up to 160 Gbyte announced!

The price for a 160 Gbyte disk will be around USD 15'000. This is still a bit expensive. But the access time is around 0.5 ms (both for reading and writing) which is around 10 times faster than a normal 15'000 rpm SCSI disk! The disk has NO cache because it is a cache itself (according to the supplier. Maybe this will change in the future). And the lifetime of a cell is > 5 mio writes. For the same performance one needs usually an array of around 10 disks. If your database is heavily write-I/O bound you should consider this solution.

Materialized Views (MV) with MySQL

Materialised View (MV) is the pre-calculated (materialised) result of a query. Unlike a simple VIEW the result of a Materialised View is stored somewhere, generally in a table. Materialised Views are used when immediate response is needed and the query where the Materialised View bases on would take to long to produce a result. Materialised Views have to be refreshed once in a while. It depends on the requirements how often a Materialised View is refreshed and how actual its content is.

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