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Shim - 0.0.1

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Provides shims over private Apache Spark APIs

Using the private Spark APIs can allow for improved functionality (e.g. Frameless encoder derivation) and performance (e.g. Quality HOF compilation or Plan rules) but it comes at a cost: lots of workarounds to support different runtimes.

Shim aims to bring those workarounds in a separate runtime library shim and let the library authors focus on useful functionality.


Last update: October 4, 2024 12:49:00
Created: October 4, 2024 12:49:00