jaychia commented on issue #208:
URL: https://github.com/apache/iceberg-python/issues/208#issuecomment-2085981955

   > Idea from @Fokko - support day/month/year transforms first
   
   You can also try using the transforms that Daft has already implemented. 
Full list of transforms:
   
   * [Expression.partitioning.days]( 
https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.Expression.partitioning.days.html)
   * [Expression.partitioning.hours]( 
https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.Expression.partitioning.hours.html)
   * [Expression.partitioning.months]( 
https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.Expression.partitioning.months.html)
   * [Expression.partitioning.year]( 
https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.Expression.partitioning.year.html)
   * [Expression.partitioning.iceberg_truncate]( 
https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.Expression.partitioning.iceberg_truncate.html)
   * [Expression.partitioning.iceberg_bucket]( 
https://www.getdaft.io/projects/docs/en/latest/api_docs/doc_gen/expression_methods/daft.Expression.partitioning.iceberg_bucket.html)
   
   
   
   
   Should be zero-copy conversions between arrow and Daft as well (cheap!):
   
   ```
   import pyarrow as pa
   from daft import Series
   
   pyarrow_array = pa.array(list(range(10000)))
   
   # Should be very cheap! Under the hood just uses the same arrow buffers
   daft_series = Series.from_arrow(pa.array(list(range(10000))))
   
   print(daft_series)
   ╭──────────────╮
   │ arrow_series │
   │ ---          │
   │ Int64        │
   ╞══════════════╡
   │ 0            │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 1            │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 2            │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 3            │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 4            │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ …            │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 9995         │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 9996         │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 9997         │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 9998         │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 9999         │
   ╰──────────────╯
   
   partitioned = daft_series.partitioning.iceberg_bucket(32)
   print(partitioned)
   
   ╭─────────────────────╮
   │ arrow_series_bucket │
   │ ---                 │
   │ Int32               │
   ╞═════════════════════╡
   │ 28                  │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 4                   │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 20                  │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 19                  │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 6                   │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ …                   │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 10                  │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 28                  │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 7                   │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 13                  │
   ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
   │ 28                  │
   ╰─────────────────────╯
   ```


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