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Caching and Django A Primer @ashchristopher

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What is a Cache?

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Temporary storage of non-complex data

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Provides very fast lookups

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Django supports simple caching

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Django includes support for a number of cache backends out-of-the-box

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Memcache cluster of Memcache servers Database cache uses database table for cache Filesystem cache file on the local filesystem Local memory cache only good for local development

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Easy to make your own cache backend

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Extend core.cache.backends.base.BaseCache

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Simple caching follows the same pattern

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1. Check the cache for data and if found, return it 2. If data is not in cache - get data from the database, put data in cache then return the data 3. Invalidate cache on data change.

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Your system works even if your cache is offline

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Some cool projects/apps to help you with it

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Django Middleware (per-site and per-view)

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Cache Machine

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Johnny-Cache

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No content

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Low-level Caching (doing it by hand)

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Caching is simple...

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... except when it isn’t!

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Cache invalidation is hard

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Cache invalidation is especially hard at scale

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What happens when an expensive operation falls out of cache?

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Thundering Herd

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Fundamental flaw?

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I think so!

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Caching doesn’t mean what it used to mean

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What you want is probably not caching

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Denormalized Data

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Actively set new data instead of letting things fall out of cache

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Nothing falls out of cache

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Set your data via asynchronous processes

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No content

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No Silver Bullet

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Optimizing read speed by adding redundant data

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Persistent storage

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NoSQL

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There is a problem with denormalized data at scale

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Denormalized data becomes a requirement

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What problem?

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Embrace denormalized data

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@ashchristopher [email protected]