SQLAlchemy是否支持某种缓存,所以如果我反复运行相同的查询,它会从缓存中返回响应而不是查询数据库?更新数据库时是否自动清除此缓存?

或者在CherryPy + SQLAlchemy设置上实现此功能的最佳方法是什么?

有帮助吗?

解决方案

我们有一个非常全面的缓存解决方案,作为嵌入式挂钩的示例,在0.6中。这是一个子类Query的配方,使其了解Beaker,并允许通过查询选项控制显式查询的查询缓存以及延迟加载器。

我现在正在制作它。示例本身位于dist中,介绍文档位于 http:// www.sqlalchemy.org/docs/orm/examples.html#beaker-caching

更新:Beaker现已被 dogpile 缓存替换: http://docs.sqlalchemy.org/en/latest/orm/examples.html#module-examples.dogpile_caching

其他提示

不是第二个问题的答案,但是根据此链接中的注释表明SQLAlchemy不支持缓存: http://spyced.blogspot.com/2007/01/why-sqlalchemy-impresses-me.html

Raven说......

Does SQLAlchemy do any kind of internal caching?

For example, if you ask for the same data twice (or an obvious subset
of the initially requested data) will the database be hit once or twice?

I recently wrote a caching database abstraction layer for an
application and (while fun) it was a fair bit of work to get it to a
minimally functional state. If SQLAlchemy did that I would seriously
consider jumping on the bandwagon.

I've found things in the docs that imply something like this might be
going on, but nothing explicit.
4:36 PM

Jonathan Ellis说......

No; the author of SA [rightly, IMO] considers caching a separate concern.

What you saw in the docs is probably the SA identity map, which makes it so 
if you load an instance in  two different places, they will refer
to the same object. But the database will still be queried twice, so it is
not a cache in the sense you mean.

SQLAlchemy支持两种类型的缓存:

  1. 缓存结果集,以便重复运行相同的查询,而不是数据库。它使用 dogpile ,它支持许多不同的后端,包括 memcached redis 和基本的平面文件。

    文档在这里: http:// docs。 sqlalchemy.org/en/latest/orm/examples.html#module-examples.dogpile_caching

  2. 缓存 query 对象,以便Python解释器不必每次都手动重新组装查询字符串。这些查询称为烘焙查询,缓存称为烘焙。基本上它会缓存 sqlalchemy 在访问数据库之前所采取的所有操作 - 它不会减少数据库调用。初步基准测试显示,在代码详细程度略有增加的权衡中, query 生成时间的加速比率高达40%。

    文档在这里: http://docs.sqlalchemy.org/烯/最新/ ORM /扩展/ baked.html

或者通过弱引用dicts(weakref.WeakValueDictionary)使用应用程序级缓存,请参阅此处的示例: http://www.sqlalchemy.org/trac/wiki/UsageRecipes/UniqueObject

许可以下: CC-BY-SA归因
不隶属于 StackOverflow
scroll top