Memcache module is providing a tool for that, Cache Router module was announcing it as well. Today it’s still a sandboxed module, no official release. But you will need to allow some memory for these new backends, maybe some of the memory given previously to MySQl or Apache. Keep in mind that you should never make a server swap. Module maintained by pounard , a Makina Corpus worker. We coudl also talk about the lock API in Drupal lock.
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TXT in FileCache directory for configuration details. The first question is « where should I put each separate cache bin or each cache table for short? 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. 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. So, well, here my example is a quite little website. Follow me also on regilero.
xrupal Keep in mind that you should never make a server swap. The first question is « where should I put each separate cache bin or each cache table for short? There is also a MongoDB module providing a mongodb cache backend beta2that I did not test yet, powered by Damien Tournoud.
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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: But this is still a good question.
You may want to keep some bins in the database, but you should test the memcached backend for most bins. But crupal, 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.
Or do you want some configuration details? Drupal use a lot of caches at different levels but all of them are by default stored in the database. So it’s a replacement for Cache Router where you can reuse the cache parts of Drupal7 cache backends in a Drupal6 website.
This module, again maintained by pounardis a backport of Drupal7 cache engine separating backends for Drupal6.
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. More on this module when released like how to manage session locks, how to configure the cache backend for sessions, etc. Cache tables are small and not heavily used. But you will need to allow some memory for these new backends, maybe some of the memory given previously to MySQl or Apache.
In this article we’ll study how to push all these caches in better places. You could maybe avoid completely the database requests in 77.26 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.
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. Take your Drupal Database and check what are the cache tables used, here I’ll use a quite basic default Drupal installation on Drupal Some modules provides lock alternatives which are faster like the 7.62 module If you have several Apache servers you will have one APC cache per server, but it’s not a big one, be careful and part of the available memory space is occupied by drupa opcode.
So now you may ask « why don’t we use Cache engines for everything? Pourquoi Drupal 8 est un bon choix pour réaliser un site d’université. I said before cache engines can be faster in both write and read operations. Available cache backends are: We’ve just been removing write and read requests from MySQL.
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And for each bin you can specify which storage backend will be used. Let’s look at a complete configuration, for Drupal6 the cache backport module would require these lines: So, well, here my example is a quite little website. To use the well known memcached daemon. But other backends could be written.
Memcache module is providing a tool for that, Erupal Router module was announcing it as well. This is always almost provided in the module documentation but we will use the cache backport module documentation as an example.
For now we’ll just have a look at the cache tables problems. Module maintained by pounarda Makina Corpus worker.