Fokko commented on code in PR #5030:
URL: https://github.com/apache/iceberg/pull/5030#discussion_r907785378
##########
python/src/iceberg/transforms.py:
##########
@@ -301,6 +301,91 @@ def _(self, value_type: IcebergType, value: int) -> str:
return datetime.to_human_timestamptz(value)
+class TruncateTransform(Transform[S, S]):
+ """A transform for truncating a value to a specified width.
+ Args:
+ source_type (Type): An Iceberg Type of IntegerType, LongType,
StringType, BinaryType or DecimalType
+ width (int): The truncate width
+ Raises:
+ ValueError: If a type is provided that is incompatible with a Truncate
transform
+ """
+
+ def __init__(self, source_type: IcebergType, width: int):
+ super().__init__(
+ f"truncate[{width}]",
+ f"transforms.truncate(source_type={repr(source_type)},
width={width})",
+ )
+ self._type = source_type
+ self._width = width
+
+ @property
+ def width(self) -> int:
+ return self._width
+
+ @property
+ def type(self) -> IcebergType:
+ return self._type
+
+ def apply(self, value: Optional[S]) -> Optional[S]:
+ return self._truncate_value(value) if value is not None else None
Review Comment:
Nit: I'm just trying to popularize the Walrus operator:
```suggestion
return truncated if (truncated := self._truncate_value(value)) else
None
```
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