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 >>> >> >>