+1 (binding)

Verified sigs/sums/license/test.

Also ran some basic tests with row filtering and positional deletes.

-Dan

On Tue, Jun 27, 2023 at 10:58 PM Jack Ye <yezhao...@gmail.com> wrote:

> +1 (binding)
>
> Verified checksum, signature, license, test, test-s3.
>
> Ran basic checks for Glue catalog, also verified the row filter issue is
> fixed:
>
> [image: Screenshot 2023-06-27 at 10.55.47 PM.png]
>
> Best,
> Jack Ye
>
> On Tue, Jun 27, 2023 at 10:25 PM Jean-Baptiste Onofré <j...@nanthrax.net>
> wrote:
>
>> +1 (non binding)
>>
>> I did quick tests and it looks good. Thanks!
>>
>> Regards
>> JB
>>
>> On Tue, Jun 27, 2023 at 10:37 PM Fokko Driesprong <fo...@apache.org>
>> wrote:
>> >
>> > All,
>> >
>> >
>> > Excited to start the 0.4.0 PyIceberg release process. The 0.4.0 release
>> is packed with awesome features:
>> >
>> > Support for converting Parquet schemas into Iceberg ones
>> > Support for reading data using FSSpec.
>> > Support fetching a limited number of rows to quickly peek into a
>> dataset.
>> > Reduced the number of calls to the object store with PyArrow>=12.0.0.
>> > Speed up queries using the Iceberg metrics.
>> > Ability to do SQL style filters: row_filter='passengers >= 3'.|
>> > SigV4 support for the REST catalog.
>> > A complete makeover of the docs site.
>> > Support for positional deletes.
>> > Ability to set table properties.
>> > And many bugs have been fixed!
>> >
>> > I propose that we release the following RC as the official PyIceberg
>> 0.4.0 release. The commit ID is 51eaf6806361e6e0a5cd163071dce684ec05350b
>> >
>> >
>> > * This corresponds to the tag: pyiceberg-0.4.0rc2
>> (f81c759835672e956c71280394f432463d25463c)
>> >
>> > * https://github.com/apache/iceberg/releases/tag/pyiceberg-0.4.0rc2
>> >
>> > *
>> https://github.com/apache/iceberg/tree/51eaf6806361e6e0a5cd163071dce684ec05350b
>> >
>> >
>> > The release tarball, signature, and checksums are here:
>> >
>> >
>> > * https://dist.apache.org/repos/dist/dev/iceberg/pyiceberg-0.4.0rc2/
>> >
>> >
>> > You can find the KEYS file here:
>> >
>> >
>> > * https://dist.apache.org/repos/dist/dev/iceberg/KEYS
>> >
>> >
>> > Convenience binary artifacts are staged on pypi:
>> >
>> >
>> > https://pypi.org/project/pyiceberg/0.4.0rc2/
>> >
>> >
>> > And can be installed using: pip3 install pyiceberg==0.4.0rc2
>> >
>> >
>> > Please download, verify, and test.
>> >
>> >
>> > Please vote in the next 72 hours.
>> >
>> > [ ] +1 Release this as PyIceberg 0.4.0
>> >
>> > [ ] +0
>> >
>> > [ ] -1 Do not release this because...
>> >
>> >
>> > Please consider this email a +1 from my side:
>> >
>> > Ran some basic table scans
>> >
>> > Including tables with positional deletes
>> >
>> > Checked to see if everything still works when PyArrow is not installed
>> > Set some table properties
>> >
>> > Kind regards,
>> >
>> > Fokko
>>
>

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