Red Hat Summit Red Hat SummitSupportConsoleDéveloppeursCommencer un essaiContact

Ce contenu n'est pas disponible dans la langue sélectionnée.

Chapter 4. Control Group Application Examples

This chapter provides application examples that take advantage of the cgroup functionality.

4.1. Prioritizing Database I/O
Copier lien

Running each instance of a database server inside its own dedicated virtual guest allows you to allocate resources per database based on their priority. Consider the following example: a system is running two database servers inside two KVM guests. One of the databases is a high priority database and the other one a low priority database. When both database servers are run simultaneously, the I/O throughput is decreased to accommodate requests from both databases equally; Figure 4.1, “I/O throughput without resource allocation” indicates this scenario — once the low priority database is started (around time 45), I/O throughput is the same for both database servers.
I/O throughput without resource allocation
View larger image
I/O throughput without resource allocation

Figure 4.1. I/O throughput without resource allocation

To prioritize the high priority database server, it can be assigned to a cgroup with a high number of reserved I/O operations, whereas the low priority database server can be assigned to a cgroup with a low number of reserved I/O operations. To achieve this, follow the steps in Procedure 4.1, “I/O Throughput Prioritization”, all of which are performed on the host system.

Procedure 4.1. I/O Throughput Prioritization

  1. Make sure resource accounting is on for both services: 
    ~]# systemctl set-property db1.service BlockIOAccounting=true
~]# systemctl set-property db2.service BlockIOAccounting=true
    Copy to Clipboard Toggle word wrap
  2. Set a ratio of 10:1 for the high and low priority services. Processes running in those service units will use only the resources made available to them 
    ~]# systemctl set-property db1.service BlockIOWeight=1000
~]# systemctl set-property db2.service BlockIOWeight=100
    Copy to Clipboard Toggle word wrap
Figure 4.2, “I/O throughput with resource allocation” illustrates the outcome of limiting the low priority database and prioritizing the high priority database. As soon as the database servers are moved to their appropriate cgroups (around time 75), I/O throughput is divided between both servers with the ratio of 10:1.
I/O throughput with resource allocation
View larger image
I/O throughput with resource allocation

Figure 4.2. I/O throughput with resource allocation

Alternatively, block device I/O throttling can be used for the low priority database to limit its number of read and write operations. For more information, see the description of the blkio controller in Controller-Specific Kernel Documentation.
Red Hat logoGithubredditYoutubeTwitter

Apprendre

Essayez, achetez et vendez

Communautés

À propos de la documentation Red Hat

Nous aidons les utilisateurs de Red Hat à innover et à atteindre leurs objectifs grâce à nos produits et services avec un contenu auquel ils peuvent faire confiance. Découvrez nos récentes mises à jour.

Rendre l’open source plus inclusif

Red Hat s'engage à remplacer le langage problématique dans notre code, notre documentation et nos propriétés Web. Pour plus de détails, consultez le Blog Red Hat.

À propos de Red Hat

Nous proposons des solutions renforcées qui facilitent le travail des entreprises sur plusieurs plates-formes et environnements, du centre de données central à la périphérie du réseau.

Theme

© 2026 Red HatRetour au début