HonahX commented on code in PR #703:
URL: https://github.com/apache/iceberg-python/pull/703#discussion_r1591829611
##########
pyiceberg/transforms.py:
##########
@@ -349,6 +356,13 @@ def dedup_name(self) -> str:
def preserves_order(self) -> bool:
return True
+ @abstractmethod
+ def pyarrow_transform(self, source: IcebergType) -> "Callable[[pa.Array],
pa.Array]": ...
Review Comment:
Shall we put this in the super class `Transform`, in the future we will
support all the transforms and they will share the same method def for this
##########
Makefile:
##########
@@ -43,7 +43,7 @@ test-integration:
sleep 10
docker compose -f dev/docker-compose-integration.yml cp
./dev/provision.py spark-iceberg:/opt/spark/provision.py
docker compose -f dev/docker-compose-integration.yml exec -T
spark-iceberg ipython ./provision.py
- poetry run pytest tests/ -v -m integration ${PYTEST_ARGS}
+ poetry run pytest
tests/integration/test_writes/test_partitioned_writes.py -v -m integration
${PYTEST_ARGS}
Review Comment:
[nit] This seems a temp change for testing. Could you please revert it? :)
##########
pyiceberg/transforms.py:
##########
@@ -349,6 +356,13 @@ def dedup_name(self) -> str:
def preserves_order(self) -> bool:
return True
+ @abstractmethod
+ def pyarrow_transform(self, source: IcebergType) -> "Callable[[pa.Array],
pa.Array]": ...
+
+ @property
+ def supports_pyarrow_transform(self) -> bool:
Review Comment:
Instead of adding a public method, how about we maintaining a private list
of transform that supports pyarrow transform for a check at the beginning of
`append`. For transforms that does not yet support pyarrow transform, we could
throw `NotImplementedError` in `pyarrow_transform`
WDYT!
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