glesperance commented on PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#issuecomment-2719072412
@mrendi29 unclear.
For now we're running with this:
https://github.com/apache/iceberg-python/issues/240#issuecomment-2248323987 .
@Fokko would be code in my comment
mrendi29 commented on PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#issuecomment-2686704958
Is anyone still working on this PR? If not i'd like to give it a try and
pick it up from where it was left. :D
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glesperance commented on PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#issuecomment-2248379289
I managed to get a poor mans append-scan with this
https://github.com/apache/iceberg-python/issues/240#issuecomment-2248323987
Looking at this PR wouldn't it be simpler to
chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1628643760
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chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1628636085
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hililiwei commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1626843860
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
retu
hililiwei commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1626816089
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
retu
hililiwei commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1626799873
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
retu
chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1623258053
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
r
chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1623258053
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pyiceberg/table/__init__.py:
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@@ -1754,6 +1788,134 @@ def to_arrow(self) -> pa.Table:
def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
r
chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1623258053
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pyiceberg/table/__init__.py:
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@@ -1754,6 +1788,134 @@ def to_arrow(self) -> pa.Table:
def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
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chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1620353853
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
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chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1620357567
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pyiceberg/table/__init__.py:
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
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chinmay-bhat commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1620353853
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pyiceberg/table/__init__.py:
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def to_pandas(self, **kwargs: Any) -> pd.DataFrame:
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Fokko commented on PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#issuecomment-2126662798
@hililiwei I'm sorry, this also fell off my radar.
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hililiwei commented on PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#issuecomment-2084982599
Sorry for the late correction. I've adjusted the code based on the latest
comments. Could you please take a look?
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hililiwei commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1584569269
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@@ -1594,6 +1617,197 @@ def to_ray(self) -> ray.data.dataset.Dataset:
return ray.data.from_arrow(self.to_arrow())
Fokko commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1568698784
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return ray.data.from_arrow(self.to_arrow())
+cl
hililiwei commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1530185804
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def _is_duplicate_partition(self, transform: Transform[Any, Any]
hililiwei commented on code in PR #533:
URL: https://github.com/apache/iceberg-python/pull/533#discussion_r1530184252
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return ray.data.from_arrow(self.to_arrow())
hililiwei opened a new pull request, #533:
URL: https://github.com/apache/iceberg-python/pull/533
Hi，@Fokko， long time no see. I have written some preliminary code for
incremental reading, which still has many areas for improvement. However, I
would like to discuss it with you at an early
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