Improve performance of encode and decode an M#35
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filosganga
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Dec 30, 2024
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| case class OptimizedRecord[R, A]( | ||
| fields: List[Field[R, _]], | ||
| build: List[Any] => A | ||
| ) | ||
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| def fields[R](p: FreeApplicative[Field[R, *], R]): Schema[R] = { | ||
| val optimized = optimizeRecord(p) | ||
| Record(optimized.fields, optimized.build) | ||
| } | ||
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@SystemFw this is the core of the thing
filosganga
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Dec 30, 2024
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| case class Record[R]( | ||
| fields: List[Field[R, ?]], | ||
| build: List[Any] => R, | ||
| fieldNames: Array[String] | ||
| ) extends Schema[R] | ||
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| object Record { | ||
| def apply[R]( | ||
| fields: List[Field[R, ?]], | ||
| build: List[Any] => R | ||
| ): Record[R] = { | ||
| val fieldNames = fields.map(_.name).toArray | ||
| new Record(fields, build, fieldNames) | ||
| } | ||
| } |
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I am not sure about this, I think we could replace with:
case class Record[R](or: OptimizedRecord[R,*]) extends Schema[R]
I don't believe caching fieldNames make this huge difference in the normal use cases
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I have moved internal/encoding and internal/decoding into the JS/JVM specific code, as the encodeRecord handles the AttributeValue directly and uses the JVM IdentityMap. |
Owner
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There's been some discussion offline. General direction is good, we just need to iron out some minor details. |
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This PR fundamentally solve the FreeApplicative at schema creation and replaces it with a custom structure that is flat, avoiding to navigate the FreeApplicative structure each time we encode or decode a Record.