Memoize instances typcasters in typecaster map #152
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| # | ||
| # @since 0.6.0 | ||
| def typecaster_for(type) | ||
| typecaster = TYPECASTER_MAP[type] | ||
| typecaster.new if typecaster | ||
| typecaster if typecaster |
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This final line is no longer necessary since you're not calling anything. The method simply becomes:
def typecaster_for(type)
TYPECASTER_MAP[type]
end
All of the default typecasters are stateless by default, so allocating a new instance for each field becomes extremely costly, especially for larger models. To reduce this, we memoize instances by default, but still allow users to provide a custom stateful type.
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+1 I was just about to open a PR with the exact same change! |
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🤖 Beep boop! Just sending a ping ❤️😄 |
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All of the default typecasters are stateless, so allocating a new instance for each field becomes extremely costly, especially for larger models. To reduce this, we can memoize the
TYPECASTER_MAP.This should be a backwards compatible change with a speed boost. The only people who might have trouble are those who modified the typecaster map. This is a frozen constant, though, so nobody should be touching this.
This is currently about 10% quicker on a model with 93 fields. The benchmark creates a model and then calls
to_json. I also ran the benchmark on a smaller model with only 12 String fields and saw a 1-2% improvement.