Articles taggués ‘mysql performance tuning’

Ten MySQL performance tuning settings after installation

09/04/2020 Aucun commentaire

mysql performance tuningIn this blog we’re going to discuss the top ten MySQL performance tuning settings that you can implement after an installation.

When we are hired for a MySQL performance audit, we are expected to review the MySQL configuration and to suggest improvements. Many people are surprised because in most cases, we only suggest changing a few MySQL performance tuning settings after installation – even though hundreds of options are available. The goal of this post is to give you a list of some of the most critical settings.

We already made such suggestions in the past here on this blog a few years ago, but things have changed a lot in the MySQL world since then!

Before we start…

Even experienced people can make mistakes that can cause a lot of trouble. So before blindly applying the recommendations of this post, please keep in mind the following items:

  • Change one setting at a time! This is the only way to estimate if a change is beneficial.
  • Most settings can be changed at runtime with SET GLOBAL. It is very handy and it allows you to quickly revert the change if it creates any problem. But in the end, you want the setting to be adjusted permanently in the configuration file.
  • A change in the configuration is not visible even after a MySQL restart? Did you use the correct configuration file? Did you put the setting in the right section? (all settings in this post belong to the [mysqld] section)
  • The server refuses to start after a change: did you use the correct unit? For instance, innodb_buffer_pool_size should be set in bytes while max_connection is dimensionless.
  • Do not allow duplicate settings in the configuration file. If you want to keep track of the changes, use version control.
  • Don’t do naive math, like “my new server has 2x RAM, I’ll just make all the values 2x the previous ones”.

Basic settings fro MySQL performance

Here are 3 MySQL performance tuning settings that you should always look at. If you do not, you are very likely to run into problems very quickly.

innodb_buffer_pool_size: this is the #1 setting to look at for any installation using InnoDB. The buffer pool is where data and indexes are cached: having it as large as possible will ensure you use memory and not disks for most read operations. Typical values are 5-6GB (8GB RAM), 20-25GB (32GB RAM), 100-120GB (128GB RAM).

innodb_log_file_size: this is the size of the redo logs. The redo logs are used to make sure writes are fast and durable and also during crash recovery. Up to MySQL 5.1, it was hard to adjust, as you wanted both large redo logs for good performance and small redo logs for fast crash recovery. Fortunately crash recovery performance has improved a lot since MySQL 5.5 so you can now have good write performance and fast crash recovery. Until MySQL 5.5 the total redo log size was limited to 4GB (the default is to have 2 log files). This has been lifted in MySQL 5.6.

Starting with innodb_log_file_size = 512M (giving 1GB of redo logs) should give you plenty of room for writes. If you know your application is write-intensive and you are using MySQL 5.6, you can start with innodb_log_file_size = 4G.

max_connections: if you are often facing the ‘Too many connections’ error, max_connections is too low. It is very frequent that because the application does not close connections to the database correctly, you need much more than the default 151 connections. The main drawback of high values for max_connections (like 1000 or more) is that the server will become unresponsive if for any reason it has to run 1000 or more active transactions. Using a connection pool at the application level or a thread pool at the MySQL level can help here.

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MySQL Performance Tuning Scripts and Know-How

04/04/2020 Aucun commentaire

mysql performance tuningUnless you are a MySQL performance tuning expert, it can be enormously challenging and somewhat overwhelming to locate and eliminate MySQL bottlenecks. While many DBAs focus on improving the performance of the queries themselves, this post will focus on the highest-impact non-query items: MySQL Server Performance and OS Performance for MySQL.

MySQL Performance Tuning

This post is a « best-of » compilation of the tricks and scripts I have found to be the most effective over the past decade. I’d like to write a 50 page article but am limiting this to 1 page.

For anyone serious about High Performance MySQL, I would highly highly recommend the fantastic book: « High Performance MySQL: Optimization, Backups, Replication, and more » – O’Reilly. I have spent many hours poring over it’s wisdom-filled pages and gaining much practical know-how.


MySQL Server Software

Each new MySQL server release contains ENORMOUS performance enhancements over previous versions. That is the absolute very first thing you should do: Upgrade your MySQL Server and Client libraries and keep them updated.

There are several « flavors » of MySQL believe it or not.. Most people use the stock MySQL Server. I, along with WikiPedia, Arch-Linux, and others, use MariaDB. MariaDB is a greatly enhanced 100% compatible replacement for the stock MySQL Server. It is based on the excellent work by the Percona project. The percona flavor of MySQL is the other truly improved version of MySQL to consider. I personally have spent a couple years using Percona, then I upgraded from Percona to MariaDB (which has a lot of Percona juju built in) and am no longer thinking about which version to go with. MariaDB is the bomb-diggity.

MySQL Engine

InnoDB not MyISAM. InnoDB may be surpassed by in-development engines like TokuDB. I ONLY use InnoDB, for everything.

Types of MySQL Servers to optimize

Seriously? Optimize EVERYTHING! The screenshots below are actual from one of my live servers. That server used to be 8GB RAM, but now as you may see in the screenshots, it is now only 2GB of RAM. I was able to save some serious $$$ by optimizing my server, without sacrificing speed… In fact I gained some speed in many instances.

I’ve used these optimization techniques on monster servers with 32GB of ram and many slaves, and also on a machine with 1GB of ram (running arch-linux).

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Making it better: basic MySQL performance tuning

03/04/2020 Aucun commentaire

MySQL performance tuningmysql performance tuning


DV servers do not have any MySQL modifications when they are initially provisioned. In fact, the my.cnf file that is included as part of the database server’s configuration includes multiple deprecated directives. Although this article will actually increase the memory used by MySQL the performance gain can be dramatic depending on your queries and database usage. The average user will get more mileage out of the server’s resources with MySQL changes similar to the following.


With that said, it should always be noted that this can not be guaranteed to be a one-size-fits-all solution. It is possible that these recommendations are not ideal for a specific server configuration. More information on tuning specific situations can be found at the bottom of this article.


Before you start, this article has the following dependencies:


Tuning MySQL based on available RAM

  1. Create a backup of your MySQL config:
    cp /etc/my.cnf /etc/my.cnf.YYYY-MM-DD.bak

    (Remember to replace YYYY-MM-DD with today’s date, ie: 2012-02-14.)

  2. All of your server’s memory allocations can be found in /proc/user_beancounters. However, these can be difficult to read. The following commands take this information and turn your server into a number. If your DV has 1G RAM, the number is 2; for 2G RAM, it is 3; so on and so forth.
ramCount=`awk 'match($0,/vmguar/) {print $4}' /proc/user_beancounters`
ramBase=-16 && for ((;ramCount>1;ramBase++)); do ramCount=$((ramCount/2)); done
  1. On its own, this number may not mean much more than the beancounters themselves. Consider this example, and the logic behind it: Why would a DV 4.0 with 4G of RAM have the same MySQL configuration as a server with DV 4.0 with 1G of RAM? It is very unlikely that those two servers will have an identical MySQL workload – their configuration files should reflect as much. Using the server’s beancounters as a guideline, a more suitable my.cnf can be crafted. The following is a single command:
cat <<EOF > /etc/my.cnf
# Basic settings
user = mysql
datadir = /var/lib/mysql
socket = /var/lib/mysql/mysql.sock

# Security settings
local-infile = 0
symbolic-links = 0

# Memory and cache settings
query_cache_type = 1
query_cache_size = $((2**($ramBase+2)))M
thread_cache_size = $((2**($ramBase+2)))
table_cache = $((2**($ramBase+7)))
tmp_table_size = $((2**($ramBase+3)))M
max_heap_table_size = $((2**($ramBase+3)))M
join_buffer_size = ${ramBase}M
key_buffer_size = $((2**($ramBase+4)))M
max_connections = $((100 + (($ramBase-1) * 50)))
wait_timeout = 300

# Innodb settings
innodb_buffer_pool_size = $((2**($ramBase+3)))M
innodb_additional_mem_pool_size = ${ramBase}M
innodb_log_buffer_size = ${ramBase}M
innodb_thread_concurrency = $((2**$ramBase))

# Basic safe settings
log-error = /var/log/mysqld.log
pid-file = /var/run/mysqld/
  1. Now, armed with a new configuration, all that is left to do is to restart MySQL:
    /etc/init.d/mysqld restart

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ERROR 1040…again

08/12/2019 Comments off

A pretty common topic in Support tickets is the rather infamous error: ERROR 1040: Too many connections. The issue is pretty self-explanatory: your application/users are trying to create more connections than the server allows, or in other words, the current number of connections exceeds the value of the max_connections variable.

This situation on its own is already a problem for your end-users, but when on top of that you are not able to access the server to diagnose and correct the root cause, then you have a really big problem; most times you will need to terminate the instance and restart it to recover.

Root user can’t connect either! Why!?

In a properly set up environment, a user with SUPER privilege will be able to access the instance and diagnose the error 1040 problem that is causing connection starvation, as explained in the manual:

mysqld actually permits max_connections + 1 client connections. The extra connection is reserved for use by accounts that have the SUPER privilege. By granting the privilege to administrators and not to normal users (who should not need it), an administrator who also has the PROCESS privilege can connect to the server and use SHOW PROCESSLIST to diagnose problems even if the maximum number of unprivileged clients are connected.

But we see lots of people who give SUPER privileges to their application or script users, either due to application requirements (dan Lire la suite…

Optimiser les performances de MySQL

06/12/2019 Comments off

Source: Optimiser les performances de MySQL (Quentin Busuttil)

Les bases de données SQL et plus particulièrement MySQL restent une des pierres angulaires de l’immense majorité des sites internet. MySQL fonctionne très bien out of the box, cependant, dès que la base se trouve assez sollicitée, on s’aperçoit que les réglages par défaut méritent une petite optimisation. Jetons un œil à tout ça !

Récemment, un des serveurs de Peerus commençait à avoir de sacrés pics de load lors des heures de forte charge, avec MySQL pour principal responsable. Une grosse centaine de connexions simultanées et quelques dizaines de requêtes par seconde sur des bases de plusieurs dizaines de giga. C’est un peu plus que le WordPress moyen, mais rien d’ingérable pour un MySQL bien réglé.

Dès lors, avant d’imaginer prendre un serveur plus puissant, sharder les tables ou je ne sais quoi encore, il faut tirer le maximum de notre cher SGBDR. Lire la suite…