8000 [Cache] Update cache for 4.2 by Nyholm · Pull Request #11391 · symfony/symfony-docs · GitHub
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[Cache] Update cache for 4.2 #11391

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[Cache] Update cache for 4.2 #11391

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11d8ea8
Update Cache component doc for 4.2
nicolas-grekas Nov 18, 2018
9044fb4
Adding examples of cache contracts
Nyholm Apr 9, 2019
f65acfb
minor
Nyholm Apr 10, 2019
ad38437
Added reference
Nyholm Apr 10, 2019
4a8fd7f
updated link
Nyholm Apr 10, 2019
c8d135f
fixes
Nyholm Apr 10, 2019
b91df93
added ref
Nyholm Apr 10, 2019
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@Nyholm
Nyholm committed Apr 10, 2019
commit c8d135f8ce53754e88925c8a0d2bbd0f5c48594e
12 changes: 7 additions & 5 deletions components/cache.rst
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Expand Up @@ -24,6 +24,8 @@ Installation

.. include:: /components/require_autoload.rst.inc

.. _cache-psr-6-versus-simple-cache-psr-16:

Cache Contracts versus PSR-6
----------------------------

Expand Down Expand Up @@ -51,7 +53,7 @@ This component includes *two* different approaches to caching:
Cache Contracts
---------------

All adapters supports the Cache Contract. It contains only two methods; ``get`` and
All adapters supports the Cache Contract. It contains only two methods; ``get`` and
``delete``. The first thing you need is to instantiate a cache adapter. The
:class:`Symfony\\Component\\Cache\\Simple\\FilesystemCache` is used in this example::

Expand Down Expand Up @@ -87,10 +89,10 @@ The Cache Contracts also comes with built in `Stampede prevention`_. This will
remove CPU spikes at the moments when the cache is cold. If an example application
spends 5 seconds to compute data that is cached for 1 hour. This data is accessed
10 times every second. This means that you mostly have cache hits and everything
is fine. But after one hour, we get 10 new requests to a cold cache. So we start
to compute that data again. The next second the same thing happens. So we start
to compute that data about 50 times before the cache is warm again. This is where
you need stampede prevention.
is fine. But after one hour, we get 10 new requests to a cold cache. So the data
is computed again. The next second the same thing happens. So the data is computed
about 50 times before the cache is warm again. This is where you need stampede
prevention

The solution is to recompute the value before the cache expires. The algorithm
randomly fakes a cache miss for one user while others still is served the cached
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