Fokko commented on issue #5801:
URL: https://github.com/apache/iceberg/issues/5801#issuecomment-1454632236
@djouallah you are right on that.
Currently, it is still a two-stage rocket, you first need to prune the data
using the PyIceberg `row_filter`:
```python
catalog = load_catalog('default')
tbl = catalog.load_table('nyc.taxis')
sc = tbl.scan(row_filter=And(
GreaterThanOrEqual("tpep_pickup_datetime",
"2022-01-01T00:00:00.000000+00:00")
LessThan("tpep_pickup_datetime", "2022-02-01T00:00:00.000000+00:00")
).to_arrow() # Same for .to_duckdb()
```
This will load all the data from January. If you don't pass in a
`row_filter`, it will pull in the current version of the table. Right now, it
won't push the predicate down to the Iceberg layer, unfortunately. This is
something that we're working on but requires tighter integration with PyArrow
and DuckDB.
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