[GitHub] [iceberg] jun-he commented on pull request #3601: types and literals in one w/ generics

[GitBox <gi...@apache.org>]

jun-he commented on pull request #3601:
URL: https://github.com/apache/iceberg/pull/3601#issuecomment-989120897


   Thanks @CircArgs for this change, which improves the current implementation using some powerful python features. 
   
   In addition to the open question about the possible extra performance cost, another concern I have is the impact on other classes. As this change is a fundamental one, it ​will bring some changes to other classes depending on it, e.g. the transform will then be implemented in a similar way using generic_class defined in types (based on [the PR](https://github.com/jun-he/incubator-iceberg/pull/4)). 
   
   For example, ```Truncate[Decimal[9, 2], 10](12.34)``` will create an iceberg Decimal class instance. This will add extra cost to process the data. In the current way, we create a Truncate instance, which can apply transform function to a python data and then return it in python. So there is no iceberg type instances in the middle.
   
   Currently, the iceberg literals are types are separated. literals are mainly used for data, e.g. used expressions, and types are mainly used in metadata, e.g. transform, partition spec. This way enables us to improve the performance or shortcut the transformation when it is needed.
   


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