Hey Sung,

That's a great find. I just merged the PR, and it would be good to get the
release process rolling to get #1026
<https://github.com/apache/iceberg-python/pull/1026> out to the users.

Kind regards,
Fokko

Op do 8 aug 2024 om 23:20 schreef Sung Yun <sungwy...@gmail.com>:

> Thank you for reporting the issues and putting in the fixes Fokko and
> André.
>
> We also identified a correctness issue with applying positional deletes on
> merge-on-read tables that I think also must be included into this release.
> Here's the PR that resolves the issue:
> https://github.com/apache/iceberg-python/pull/1026
>
> Sung
>
> On Thu, Aug 8, 2024 at 9:29 AM André Luis Anastácio
> <ndrl...@proton.me.invalid> wrote:
>
>> I fixed an overwrite error that, I think, would be good to include in the
>> 0.7.1 release https://github.com/apache/iceberg-python/pull/1023
>>
>> André Anastácio
>>
>> On Thursday, August 8th, 2024 at 4:29 AM, Fokko Driesprong <
>> fo...@apache.org> wrote:
>>
>> Thanks everyone for the input here, and I agree that the aforementioned
>> #995 <https://github.com/apache/iceberg-python/pull/995/> and #997
>> <https://github.com/apache/iceberg-python/pull/997/> by Sung, and #526
>> <https://github.com/apache/iceberg-python/pull/526> by André would also
>> be good to include (I've added the milestone there). I have two minor ones
>> that are also good candidates to add to 0.7.1:
>>
>>    - Allow setting <http://goog_2004148629>write.parquet.row-group-limit
>>    <https://github.com/apache/iceberg-python/pull/1016>
>>    - Allow setting <http://goog_2004148635>write.parquet.page-row-limit
>>    <https://github.com/apache/iceberg-python/pull/1017>
>>
>> Kind regards,
>> Fokko
>>
>>
>> Op di 6 aug 2024 om 21:17 schreef André Luis Anastácio
>> <ndrl...@proton.me.invalid>:
>>
>>> What do you think about adding the fix that excludes PyIceberg support
>>> for Python 3.9.7 in the 0.7.1 release?[1] It already doesn't work, so this
>>> is just to avoid any new issues.
>>>
>>> - [1]: https://github.com/apache/iceberg-python/pull/526
>>>
>>> André Anastácio
>>>
>>>
>>> On Tuesday, August 6th, 2024 at 4:06 PM, Sung Yun <sun...@apache.org>
>>> wrote:
>>>
>>> > Sounds good folks! Thank you for sharing your thoughts. We'll work on
>>> getting the patch release out, and continue the discussion on upgrading the
>>> PyArrow version to 17.0.0 in time for 0.8.0 release.
>>> >
>>> > Just adding these two more fixes that were introduced that I think we
>>> should pull into the patch release. These were added to the GitHub
>>> milestone for 0.7.1, but just cross posting here for awareness:
>>> >
>>> > - Table scan fails when result is empty:
>>> https://github.com/apache/iceberg-python/pull/997
>>> > - Fix RestCatalog ListNamespace to correctly make use of the expected
>>> Rest Catalog response: https://github.com/apache/iceberg-python/pull/997
>>> >
>>> > Sung
>>> >
>>> > On 2024/08/06 18:29:50 Kevin Liu wrote:
>>> >
>>> > > > Typically we only push patches into the minor versions, we could
>>> also go
>>> > > > to version 0.8.0 immediately.
>>> > >
>>> > > The issues above sound like patches to me, fixing issues discovered
>>> during
>>> > > the 0.7.0 release. Is there a reason to move to 0.8.0?
>>> > >
>>> > > > I'm still on the fence regarding 17.0.0 upgrade. There are clear
>>> > > > functional upsides, but I feel that constraining PyIceberg to just
>>> one
>>> > > > published version would make the adoption of PyIceberg difficult
>>> for our
>>> > > > users.
>>> > >
>>> > > +1 on this concern. Is it possible to make the Arrow 17.0.0 upgrade
>>> > > optional first? So that folks who want the upgrade can test it out.
>>> > >
>>> > > Thanks,
>>> > > Kevin Liu
>>> > >
>>> > > On Fri, Aug 2, 2024 at 11:33 AM Sung Yun sun...@apache.org wrote:
>>> > >
>>> > > > Hi Fokko,
>>> > > >
>>> > > > That makes sense, thank you for the suggestion! The issue was
>>> quite severe
>>> > > > for us that we had to fork the repo and have a fix ourselves in
>>> order to
>>> > > > run PyIceberg without our applications going OOM. So I think there
>>> will be
>>> > > > value in getting the proposed config property out as early as
>>> possible for
>>> > > > the larger community.
>>> > > >
>>> > > > I'm still on the fence regarding 17.0.0 upgrade. There are clear
>>> > > > functional upsides, but I feel that constraining PyIceberg to just
>>> one
>>> > > > published version would make the adoption of PyIceberg difficult
>>> for our
>>> > > > users. Users writing new applications won't have trouble with it,
>>> but users
>>> > > > intending to use PyIceberg in an existing application may have to
>>> upgrade
>>> > > > their PyArrow versions which could be a deterrent (or a welcome
>>> nudge).
>>> > > > Would it be worth starting that discussion on a separate thread?
>>> > > >
>>> > > > Sung
>>> > > >
>>> > > > On 2024/08/02 17:57:17 Fokko Driesprong wrote:
>>> > > >
>>> > > > > Hey Sung,
>>> > > > >
>>> > > > > Typically we only push patches into the minor versions, we could
>>> also go
>>> > > > > to
>>> > > > > version 0.8.0 immediately.
>>> > > > >
>>> > > > > Regarding the memory consumption, thanks for putting those
>>> numbers
>>> > > > > together! I would also love to get #929
>>> > > > > https://github.com/apache/iceberg-python/pull/929, so we can
>>> push down
>>> > > > > the large/small type to PyArrow (only for to_arrow), and apply
>>> #986
>>> > > > > https://github.com/apache/iceberg-python/pull/986 on top if you
>>> want
>>> > > > > to
>>> > > > > force it to either small or large types.
>>> > > > >
>>> > > > > WDYT?
>>> > > > >
>>> > > > > Kind regards,
>>> > > > > Fokko
>>> > > > >
>>> > > > > Op vr 2 aug 2024 om 19:46 schreef Sung Yun sun...@apache.org:
>>> > > > >
>>> > > > > > Hi folks,
>>> > > > > >
>>> > > > > > We identified inefficient memory usage hikes with the current
>>> way of
>>> > > > > > upcasting pyarrow types to large_<type> on read, when reading
>>> tables
>>> > > > > > with
>>> > > > > > certain characteristics. A detailed set of example benchmarks
>>> of this
>>> > > > > > issue
>>> > > > > > is on the google document linked on PR #986:
>>> > > > > > https://github.com/apache/iceberg-python/pull/986
>>> > > > > >
>>> > > > > > The proposed solution introduces a config to override this
>>> behavior to
>>> > > > > > use
>>> > > > > > small types instead, and I'd like to add this into the patch
>>> release to
>>> > > > > > give users better control over their memory usage.
>>> > > > > >
>>> > > > > > Also, this is just a gentle reminder that this DISCUSS thread
>>> is still
>>> > > > > > open for any new issues that are identified from 0.7.0
>>> release, that we
>>> > > > > > should fix in the patch release.
>>> > > > > >
>>> > > > > > Thank you,
>>> > > > > > Sung
>>> > > > > >
>>> > > > > > On 2024/07/30 23:57:04 Sung Yun wrote:
>>> > > > > >
>>> > > > > > > Hi folks,
>>> > > > > > >
>>> > > > > > > We are starting to compile the list of issues to fix and
>>> port into
>>> > > > > > > the
>>> > > > > > > 0.7.1 release.
>>> > > > > > >
>>> > > > > > > The current list of known issues is as follows:
>>> > > > > > >
>>> > > > > > > Fix pydantic warning on table commit: #972
>>> > > > > > > https://github.com/apache/iceberg-python/pull/972 (thanks
>>> for the
>>> > > > > > > quick
>>> > > > > > > fix ndrluis!)
>>> > > > > > > Issue when rewriting an unpartitioned table: #979
>>> > > > > > > https://github.com/apache/iceberg-python/issues/979
>>> > > > > > > Issue when evolving and writing in the same transaction: #980
>>> > > > > > > https://github.com/apache/iceberg-python/issues/980
>>> > > > > > >
>>> > > > > > > Please feel free to respond to this thread with any issues
>>> that
>>> > > > > > > should be
>>> > > > > > > tracked for the patch release.
>>> > > > > > >
>>> > > > > > > Thank you!
>>> > > > > > > Sung
>>>
>>
>>

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