Cache backends with Drupal7 Now comes Drupal7. But other backends could be written. TXT in FileCache directory for configuration details. You may want to keep some bins in the database, but you should test the memcached backend for most bins. And for each bin you can specify which storage backend will be used. This module, again maintained by pounard , is a backport of Drupal7 cache engine separating backends for Drupal6. We’ve just been removing write and read requests from MySQL.
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So, well, here my example is a quite little website. So it’s a replacement for Cache Router where you can reuse the cache parts of Drupal7 cache backends in a Drupal6 website. Module maintained by pounarda Makina Corpus worker. For now we’ll just have a look at the cache tables problems. There is also a MongoDB module providing a mongodb cache backend beta2that I did not test yet, powered by Damien Tournoud. 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.
Soon enough you will ask yourself « Could I use some smarter solutions like Memcache for the cache storage? And of course some existing modules could help you doing that. You may wonder why it is smart to use something which is not the database to perform the caching storage?
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In this article we’ll study how to push all these caches in better places. In case of full cache overflow the cache is completely wiped out, so do not use that for long persistency. We coudl also talk about the lock API in Drupal lock. Memcache module is providing a tool for that, Cache Router module was announcing it as well. Some modules provides lock alternatives which are faster like the Redis module You would get bigger numbers on a big website.
I said before cache engines can be faster in both write and read operations. 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:.
Separate cache Backends with Drupal6 and Drupal7
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. They will love the APC cache backend. The only thing we need know is a documentation on how to configure these.
And for each bin you can specify which storage backend will be used. The first question is « where should I put 77.26 separate cache bin or each cache table for short? So now you may ask « why don’t we use Cache engines for everything? For all the others bins you could apply a different policy. You could maybe avoid completely the database requests in aggressive mode Dedicated storage engine cache engines perform faster than dripal 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.
But this is still a good question.
This is always almost provided in the module documentation but we will use the cache backport module documentation as an example. Follow me ddrupal on regilero.
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More drupaal this module when released like how to manage session locks, how to configure the cache backend for sessions, etc. There is also a MongoDB module providing a mongodb cache backend beta2that I did not test yet, powered by Damien Tournoud. The cache management has been rewritten, using cache router and memcached ideas and try to put the things one step further in the core.
And the « cache router » module applied some of the ideas we’ll study later on this article. But other backends could be written. There is no magic rules, the best tool will depend on your cache usage and on used modules. So it’s a replacement for Cache Router where you can reuse the cache parts of Drupal7 cache backends in a Drupal6 website.
Separate cache Backends with Drupal6 and Drupal7 — Makina Corpus
Let’s look at a complete configuration, for Drupal6 the cache backport module would require these lines: Cache tables are small and not heavily used. 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 the opcode. Let’s look at a complete configuration, for Drupal6 the cache backport module would require these lines:.
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. Use the right tool for the right thing. To use the well known memcached daemon. The memcache module, for example.