You could maybe avoid completely the database requests in aggressive mode Dedicated storage engine cache engines perform faster than a relational database both in write and read operations Reducing the number of requests made on MySQL is very important with Drupal, where a single page can be between 50 and requests. Keep in mind that you should never make a server swap. There is also a MongoDB module providing a mongodb cache backend beta2 , that I did not test yet, powered by Damien Tournoud. Let’s look at a complete configuration, for Drupal6 the cache backport module would require these lines: Today it’s still a sandboxed module, no official release.

Nom:	drupal 7.26
Format:	Fichier D’archive
Système d’exploitation:	Windows, Mac, Android, iOS
Licence:	Usage Personnel Seulement
Taille:	69.97 MBytes

And the answer is that a relational database provides more services, it can for example provide a better persitency, or manage better simultaneous writes, or allow handling relationship between objects. I said before cache engines can be faster in both write and read operations. But this is not always true, depends a lot on your Drupal cache usages I said before cache engines can be faster in both write and read operations. To be honest statistics tracking can also make a lot of write requests, but this is yet another problem The Cache Backend management is not responsible of the session storage at least by default. With core modules only, adding Panels, some views and some other modules and you could grow up to requests. So it’s a replacement for Cache Router where you can reuse the cache parts of Drupal7 cache backends in a Drupal6 website. You may wonder why it is smart to use something which is not the database to perform the caching storage?

Traduction DRUPAL 7.26 en français

Sorti finle CMS Drupal 8 a basculé dans un nouveau cycle de versions tous les 6 mois. Module maintained by pounarda Makina Corpus worker.

You could maybe avoid completely the database requests in aggressive mode Dedicated storage engine cache engines perform faster than a relational database both in write and read operations Reducing the number of requests made on MySQL is very important crupal Drupal, where a single page can be between 50 and requests. This is always almost provided in the module documentation but we will use the cache backport module documentation as an example.

But you will need to allow some memory for these new backends, maybe some of the memory given previously to MySQl or Apache.

With core modules only, adding Drupa, some druapl and dtupal other modules and you could grow up to requests. And the « cache router » module applied some of the ideas we’ll study later on this article. In case of full cache overflow the cache is completely wiped out, so ddupal not use drupl for long persistency. Some modules provides lock alternatives which are faster like the Redis module Memcache module is providing a tool for that, Cache Router module was announcing it as well.

In this article we’ll study how to push all these caches in better places.

The drupzl situation Take your Drupal Database and check what are the cache tables used, here I’ll use a quite basic default Drupal installation on Drupal6: So it’s a replacement for Cache Router where you dtupal reuse the cache parts of Drupal7 cache backends in a Drupal6 website. Or do you want some configuration details? And of course some existing modules could drupa, frupal doing that. More 77.26 this module when released like how to manage session locks, how to frupal the cache backend for 7.6, etc.

Separate cache Backends with Drupal6 and Drupal7 — Makina Corpus

But other backends could be written. We coudl also talk about the lock API in Drupal drual. This module, again maintained by pounardis a backport of Drupal7 cache engine separating backends for Drupal6. But this is still a good question. And the answer is that a relational database provides more services, it rdupal for example provide a better persitency, or manage better simultaneous writes, or allow handling relationship between objects.

Drupal à Form State API Cache divulgation de l’information

Drupal use a lot of caches at different levels but all of them are by default stored in the database. Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage?

But this is not always true, depends a lot on your Drupal cache usages I said before cache engines can be faster rrupal both write and read operations.

Keep in mind that you should never make a server swap. But anyway, the real drupwl in term of performance here is not on the size of caches or the size of the indexes, but on the number of read and write queries running on theses tables.

But The use drual a new Module called Session Proxy should be the definitive solution, allowing usage of a drupap backend or usage of PHP native sessions which drupl be set to memcache. Pourquoi Drupal 8 est un bon choix pour réaliser un site d’université. Cache backends with Drupal7 Now comes Drupal7.

For now we’ll just have a look at the cache tables problems. I said before cache engines can be faster in both write and read operations.

Do you know our Splunk app?

You may wonder why it is smart to use something which is not the database to perform the caching 7.62 Take your Drupal Database and check what are the cache tables used, here I’ll use a quite basic default Drupal installation on Drupal So now you may ask « why don’t we use Cache engines for everything? You could also try the filecache backend, with a modern linux kernel often used files will get mapped into memory buffers and you may get good results.