In this article we’ll study how to push all these caches in better places. Available cache backends are: Module maintained by pounard , a Makina Corpus worker. 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. This module, again maintained by pounard , is a backport of Drupal7 cache engine separating backends for Drupal6. Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage? Use the right tool for the right thing.
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I said before cache engines can be faster in both write and read operations. Let’s look at a complete configuration, for Drupal6 the cache backport module would require these lines: Follow me also on regilero. There is also a MongoDB drjpal providing a mongodb cache backend beta2that I did not test yet, powered by Damien Tournoud. So by definition it’s quite hard to perform some fine deupal on the MySQL server if this table is not removed.
Traduction DRUPAL 7.26 en français
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. This module, again maintained by pounardis a backport of Drupal7 cache engine separating backends for Drupal6.
There is no magic rules, the best tool will depend on your cache usage and on used modules. In case of full cache overflow the cache is completely wiped out, so do not use that for long persistency. Follow me also on regilero. Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage?
Take your Drupal Database and check what are the cache tables used, here I’ll use a quite basic default Drupal installation on Drupal There is also a MongoDB module providing a mongodb cache backend beta2that I did not test yet, powered by Damien Tournoud.
For all the others bins you could apply a different policy. The only thing we need know is a documentation on how to configure these.
drupal – D7 vues exposées forme: programme modifier termes de taxonomie sélection
But you will need to allow some memory for these new backends, maybe some of the memory given previously to MySQl or Apache. 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. More on this druppal when released like how to manage session locks, how to configure the cache backend for sessions, etc.
So now you may ask « why don’t we use Cache engines for everything? We’ve just been removing write and read requests from MySQL. Available cache backends are: And for each bin you can specify which storage backend will be used.
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: 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 dgupal.
Cache backends with Drupal7 Now comes Drupal7. And of course some existing modules could help you doing that. TXT in FileCache directory for configuration details. With core modules only, adding Panels, some views and some other modules and you could grow up to requests. You may wonder why it is smart to use something which is drpual the database to perform the caching storage?
Drupal use a lot of caches at different levels but all of them are by default stored in the database. To use the well known memcached daemon.
We coudl also talk about the lock API in Drupal lock. You may want to keep some bins in the database, but you should test the memcached backend for most bins. In this article we’ll study how to push all these caches in better places. For now we’ll just have a look at the cache tables problems.
Today it’s still a sandboxed module, no official release. But other backends could be written. The memcache module, for example. So, well, here my example is a quite little website.
I said before cache engines can be faster in both write and read operations.