I said before cache engines can be faster in both write and read operations. And of course some existing modules could help you doing that. So by definition it’s quite hard to perform some fine tunning on the MySQL server if this table is not removed. Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage? More on this module when released like how to manage session locks, how to configure the cache backend for sessions, etc. So, well, here my example is a quite little website. To use the well known memcached daemon.
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Nos formations Formation Drupal Theming. And the « cache router » module applied some of the ideas we’ll study later on this article. The first question is « where should I put each separate cache bin or each cache table for short? In this article we’ll study how to push all these caches in better places. Use the right tool for the right thing. Today it’s still a sandboxed module, no official release.
Cache tables are small and not heavily used. So, well, here my example is a quite little website. Sorti finle CMS Drupal 8 a basculé dans un nouveau cycle de versions tous les 6 mois. For all the others bins you could apply a different policy.
The cache management has been rewritten, using cache router and memcached ideas and try to put the things one step further in the core. Available cache backends are: You may want to keep some bins in the database, but you should test the memcached backend for most bins. This module, again maintained by pounardis a backport of Drupal7 cache engine separating backends for Drupal6.
And of course some existing modules could drupall you doing that.
Module maintained by pounarda Makina Corpus worker. More on this module when released like how to manage session locks, 77.26 to configure the cache backend for sessions, etc. The first question is « where should I put each separate cache bin or each cache table for short?
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Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage? We coudl also talk about the lock API in Drupal lock. You could also try the filecache backend, with a modern linux kernel often used files will 726 mapped into memory buffers and you may get good results. For now we’ll just have a look at the cache tables problems. Let’s look at srupal complete configuration, for Drupal6 the cache backport module would require these lines: Today it’s still a sandboxed module, no official release.
But this drupl 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. But this is still a good question. And now for Drupal7 or Drupal6 we would have of course it depends of the bins available on your installation, check the table created in MySQL to see what bin are requested by the modules:.
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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. You would get bigger numbers on a big website. Some modules provides lock alternatives which are faster like the Redis module This is always almost provided in the module documentation but we will use the cache backport module documentation as an example.
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So it’s a replacement for Cache Router where you can reuse the cache parts of Drupal7 cache backends in a Drupal6 website. Memcache module is providing a tool for that, Cache Router module was announcing it as well.
To use the well known memcached daemon.
But other backends could be written. So by definition it’s quite hard to perform some fine tunning on the MySQL server if this table is not removed.
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. Cache backends with Drupal7 Now comes Drupal7. You may wonder why it is smart to use something which is not the database to perform the caching storage? 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.
In this article we’ll study how to push dru;al these caches in better places. 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 drkpal important with Drupal, where a single page can be drpual 50 and requests.