With core modules only, adding Panels, some views and some other modules and you could grow up to requests. Keep in mind that you should never make a server swap. But other backends could be written. Or do you want some configuration details? For all the others bins you could apply a different policy. Cache backends with Drupal7 Now comes Drupal7.
|Système d’exploitation:||Windows, Mac, Android, iOS|
|Licence:||Usage Personnel Seulement|
In this article we’ll study how to push all these caches in better places. 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. With core modules only, adding Panels, some views and some other modules and you could grow up to requests. But this is still a good question. To use the well known memcached daemon.
For all the others bins you could apply a different policy. So by definition it’s quite hard to perform some fine tunning on the MySQL server if this table is not removed. Module maintained by pounarda Makina Corpus worker.
Traduction DRUPAL 7.26 en français
And One of the good points of this module is that it provides a centralized documentation on several drual backends which is spread on the different modules for Drupal7. Let’s look at a complete configuration, for Drupal6 the cache backport module would require these lines: This module, again maintained by pounardis a backport of Drupal7 cache engine separating backends for Drupal6.
I said before cache engines dgupal be faster in both write and read operations. And the « cache router » module applied some of the ideas we’ll study later on this article.
drupal – D7 vues exposées forme: programme modifier termes de taxonomie sélection
The first question is « where should I put each separate cache bin or each cache table for short? So now you may ask « why don’t we use Cache engines drkpal everything? Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage?
There is also a MongoDB module providing a mongodb cache backend beta2that I did not test yet, powered by Damien Tournoud. You may want to keep some bins in the database, but you should test the memcached backend for most bins.
The only thing we need know is a documentation on how to configure these. In case of full cache overflow the cache is completely wiped out, so do not use that for long persistency. Keep in mind that you should never make a server swap. Use the right tool for the right thing. More on this module when released like how to manage session locks, how to configure the cache backend for sessions, etc. For now we’ll just have a look at the cache tables problems. The default 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 can reuse the cache parts of Drupal7 cache backends in a Drupal6 website.
Pourquoi Drupal 8 est un bon choix pour réaliser un site d’université. TXT in FileCache directory for configuration details. But The use of a new Module called Session Proxy should be the definitive solution, allowing usage of a cache backend or usage of PHP native sessions which can be set to memcache.
To use the well known memcached daemon. 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. You would get bigger numbers on a big website.
Separate cache Backends with Drupal6 and Drupal7
So, well, here my example is a quite little website. But you will need to allow drual memory for these new backends, maybe some of the memory given previously to MySQl or Apache.
Or do you want some configuration details? But anyway, the real problem 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 other backends could be written. 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.
Cache tables are small and not heavily used. There is no magic rules, the best tool will depend on your cache usage drpal on used modules. Cache backends with Drupal7 Now comes Drupal7.
Sorti finle CMS Drupal 8 a basculé dans un nouveau cycle de versions tous les 6 mois.