Rails Caching DB Queries and Best Practices

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小蘑菇
小蘑菇 2021-01-31 04:23

The DB load on my site is getting really high so it is time for me to cache common queries that are being called 1000s of times an hour where the results are not changing. So f

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  • 2021-01-31 04:43

    If you need to speed up sql queries on data that doesnt change much over time then you can use materialized views.

    A matview stores the results of a query into a table-like structure of its own, from which the data can be queried. It is not possible to add or delete rows, but the rest of the time it behaves just like an actual table. Queries are faster, and the matview itself can be indexed.

    At the time of this writing, matviews are natively available in Oracle DB, PostgreSQL, Sybase, IBM DB2, and Microsoft SQL Server. MySQL doesn’t provide native support for matviews, unfortunately, but there are open source alternatives to it.

    Here is some good articles on how to use matviews in Rails

    sitepoint.com/speed-up-with-materialized-views-on-postgresql-and-rails

    hashrocket.com/materialized-view-strategies-using-postgresql

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  • 2021-01-31 04:45

    With respect to the caching, a couple of minor points:

    It's worth using slash for separation of object type and id, which is rails convention. Even better, ActiveRecord models provide the cacke_key instance method which will provide a unique identifier of table name and id, "cities/13" etc.

    One minor correction to your after_save filter. Since you have the data on hand, you might as well write it back to the cache as opposed to delete it. That's saving you a single trip to the database ;)

    def after_save
      Rails.cache.write(cache_key,self)
    end
    

    As to the root of the question, if you're continuously pulling @user.city.name, there are two real choices:

    • Denormalize the user's city name to the user row. @user.city_name (keep the city_id foreign key). This value should be written to at save time.

    -or-

    • Implement your User.fetch method to eager load the city. Only do this if the contents of the city row never change (i.e. name etc.), otherwise you can potentially open up a can of worms with respect to cache invalidation.

    Personal opinion: Implement basic id based fetch methods (or use a plugin) to integrate with memcached, and denormalize the city name to the user's row.

    I'm personally not a huge fan of cached model style plugins, I've never seen one that's saved a significant amount of development time that I haven't grown out of in a hurry.

    If you're getting way too many database queries it's definitely worth checking out eager loading (through :include) if you haven't already. That should be the first step for reducing the quantity of database queries.

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  • 2021-01-31 04:47

    I would go ahead and take a look at Memoization, which is now in Rails 2.2.

    "Memoization is a pattern of initializing a method once and then stashing its value away for repeat use."

    There was a great Railscast episode on it recently that should get you up and running nicely.

    Quick code sample from the Railscast:

    class Product < ActiveRecord::Base
      extend ActiveSupport::Memoizable
    
      belongs_to :category
    
      def filesize(num = 1)
        # some expensive operation
        sleep 2
        12345789 * num
      end
      memoize :filesize
    end
    

    More on Memoization

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  • 2021-01-31 04:54

    Check out cached_model

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