Memoization is a classic technique in Ruby programming, greatly assisting in boosting performance. With Ruby's ongoing evolution, particularly towards a shape-based method in instance variable lookups, thoughtfully implementing memoization can be beneficial. Inspired by Jean Boussier's insights on RailsAtScale.com, this post highlights some suggested best practices.
Why Consider Memoization?
Memoization helps cache results of resource-heavy function calls, aiming to speed up subsequent executions. Ruby’s newer shape-based mechanism for instance variable lookups suggests organizing objects based on their instance variables. This approach influences performance and memory usage, but it's important to note that using memoization indiscriminately could lead to a range of object shapes, which might inadvertently affect performance. Understanding these subtleties can be helpful for developers looking to craft efficient and thoughtful Ruby code.
Suggested Best Practices
Aligning with Ruby's shape-based approach and optimizing memoization strategies, developers might consider the following approaches:
-
Mindful Use of Memoized Variables: It’s generally a good idea to keep memoized variables to a minimum. Ideally, aiming for one or two per class helps. If you find yourself needing more, initializing these variables to
nil
in the constructor could be a proposed better approach:
class MyClass
def initialize
@expensive_value = nil
end
def expensive_value
@expensive_value ||= compute_expensive_value
end
end
- Handling Falsy Values with Tokens: When dealing with memoized values that might return falsy results, using a token could be a neat way to differentiate between an uninitialized state and a value that's legitimately falsy:
class MyClass
NOT_SET = Module.new
private_constant :NOT_SET
def initialize
@expensive_value = NOT_SET
end
def expensive_value
return @expensive_value unless @expensive_value == NOT_SET @expensive_value = compute_expensive_value
end
end
end
Wrapping Up
Adjusting to Ruby's shape-based approach for variable lookups, we might consider refining our memoization tactics to help maintain efficient performance and thoughtful memory usage. For those interested in exploring this topic further, Jean Boussier provides a deeper dive in his article at RailsAtScale. It's a thought-provoking read for anyone interested in evolving their Ruby coding practices in harmony with the latest language developments.
This summary reflects ideas from Jean Boussier's article published on October 24, 2023, on RailsAtScale.com. To broaden your understanding, the original article is well worth a read.
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