metasploit-framework/lib/gemcache/ruby/1.9.1/gems/rack-cache-1.2/doc/faq.markdown

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Frequently Asked Questions

NOTE: This is a work in progress. Please send questions, comments, or suggestions to r@tomayko.com.

General

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Q: Can I use Rack::Cache with Rails?

Rack::Cache can be used with Rails 2.3 or above. Documentation and a sample application is forthcoming; in the mean time, see this example of using Rack::Cache with Rails 2.3.

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Q: Why Rack::Cache? Why not Squid, Varnish, Perlbol, etc.?

Rack::Cache is often easier to setup as part of your existing Ruby application than a separate caching system. Rack::Cache runs entirely inside your backend application processes - no separate / external process is required. This lets Rack::Cache scale down to development environments and simple deployments very easily while not sacrificing the benefits of a standards-based approach to caching.

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Q: Why Rack::Cache? Why not use Rails/Merb/FrameworkX's caching system?

Rack::Cache takes a standards-based approach to caching that provides some benefits over framework-integrated systems. It uses standard HTTP headers (Expires, Cache-Control, Etag, Last-Modified, etc.) to determine what/when to cache. Designing applications to support these standard HTTP mechanisms gives the benefit of being able to switch to a different HTTP cache implementation in the future.

In addition, using a standards-based approach to caching creates a clear separation between application and caching logic. The application need only specify a basic set of information about the response and all decisions regarding how and when to cache is moved into the caching layer.

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Q: Will Rack::Cache make my app scale?

No. Your design is the only thing that can make your app scale.

Also, Rack::Cache is not overly optimized for performance. The main goal of the project is to provide a portable, easy-to-configure, and standards-based caching solution for small to medium sized deployments. More sophisticated / performant caching systems (e.g., Varnish, Squid, httpd/mod-cache) may be more appropriate for large deployments with crazy-land throughput requirements.

Features

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Q: Does Rack::Cache support validation?

Yes. Both freshness and validation-based caching is supported. A response will be cached if it has a freshness lifetime (e.g., Expires or Cache-Control: max-age=N headers) and/or includes a validator (e.g., Last-Modified or ETag headers). When the cache hits and the response is fresh, it's delivered immediately without talking to the backend application; when the cache is stale, the cached response is validated using a conditional GET request.

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Q: Does Rack::Cache support fragment caching?

Not really. Rack::Cache deals with entire responses and doesn't know anything about how your application constructs them.

However, something like ESI may be implemented in the future (likely as a separate Rack middleware component that could be situated upstream from Rack::Cache), which would allow applications to compose responses based on several "fragment resources". Each fragment would have its own cache policy.

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Q: How do I manually purge or expire a cached entry?

Although planned, there is currently no mechanism for manually purging an entry stored in the cache.

Note that using an Expires or Cache-Control: max-age=N header and relying on manual purge to invalidate cached entry can often be implemented more simply using efficient validation based caching (Last-Modified, Etag). Many web frameworks are based entirely on manual purge and do not support validation at the cache level.

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Q: How do I bypass rack-cache on a per-request basis?

Set the rack-cache.force-pass variable in the rack environment to true.

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Q: What does "Efficient Validation" mean?

It means that your application performs only the processing necessary to determine if a response is valid before sending a 304 Not Modified in response to a conditional GET request. Many applications that perform validation do so only after the entire response has been generated, which provides bandwidth savings but results in no CPU/IO savings. Implementing validation efficiently can increase backend application throughput significantly when fronted by a validating caching system (like Rack::Cache).

Here's an example Rack application that performs efficient validation.

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Q: Did you just make that up?

Yes.

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Q: Can I do HTTPS with Rack::Cache?

Sure. HTTPS is typically managed by a front-end web server so this isn't really relevant to Rack::Cache.